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ORCIDCoRR, July 2020
- Chris Roast:
EQUS - helping to see formulae. - You Xie, Nils Thuerey:
Data-driven Regularization via Racecar Training for Generalizing Neural Networks. - Ohad Shamir:
Gradient Methods Never Overfit On Separable Data. - Yanhong Xu, Reihaneh Safavi-Naini, Khoa Nguyen
, Huaxiong Wang:
Traceable Policy-Based Signatures and Instantiation from Lattices. - Abdul Mueed Hafiz:
K-Nearest Neighbour and Support Vector Machine Hybrid Classification. - Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat:
Fast Training of Deep Networks with One-Class CNNs. - Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat:
A Survey on Instance Segmentation: State of the art. - Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar:
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings. - Hadi Pouransari, Oncel Tuzel:
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. - Md. Mokhlesur Rahman, G. G. Md. Nawaz Ali, Xue Jun Li, Kamal Chandra Paul, Peter H. J. Chong:
Twitter and Census Data Analytics to Explore Socioeconomic Factors for Post-COVID-19 Reopening Sentiment. - Sashikumaar Ganesan, Manan Shah:
SParSH-AMG: A library for hybrid CPU-GPU algebraic multigrid and preconditioned iterative methods. - Noam Moscovich, Ron Bitton, Yakov Mallah, Masaki Inokuchi, Tomohiko Yagyu, Meir Kalech, Yuval Elovici, Asaf Shabtai:
Autosploit: A Fully Automated Framework for Evaluating the Exploitability of Security Vulnerabilities. - Kanishkan Vadivel, Lorenzo Chelini, Ali BanaGozar, Gagandeep Singh, Stefano Corda, Roel Jordans, Henk Corporaal:
TDO-CIM: Transparent Detection and Offloading for Computation In-memory. - Ioannis Kansizoglou, Loukas Bampis, Antonios Gasteratos:
Deep Feature Space: A Geometrical Perspective. - Maria V. Vasilyeva, Aleksei Tyrylgin, Donald L. Brown, Anirban Mondal:
Preconditioning Markov Chain Monte Carlo Method for Geomechanical Subsidence using multiscale method and machine learning technique. - Boyuan Pan, Yazheng Yang, Kaizhao Liang, Bhavya Kailkhura, Zhongming Jin, Xian-Sheng Hua, Deng Cai, Bo Li:
Adversarial Mutual Information for Text Generation. - Andrei Ivanov, Nikoli Dryden, Tal Ben-Nun, Shigang Li, Torsten Hoefler:
Data Movement Is All You Need: A Case Study on Optimizing Transformers. - Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Deep Geometric Texture Synthesis. - Michael H. Gfrerer:
A C1-continuous Trace-Finite-Cell-Method for linear thin shell analysis on implicitly defined surfaces. - Cody Coleman, Edward Chou, Sean Culatana, Peter Bailis, Alexander C. Berg, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz:
Similarity Search for Efficient Active Learning and Search of Rare Concepts. - Xiao-Yue Gong, David Simchi-Levi:
Provably More Efficient Q-Learning in the Full-Feedback/One-Sided-Feedback Settings. - Semih Cayci, Atilla Eryilmaz, R. Srikant:
Continuous-Time Multi-Armed Bandits with Controlled Restarts. - Sahar Siddiqui, Elena Sizikova, Gemma Roig, Najib J. Majaj, Denis G. Pelli:
Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models. - Sebastian Junges, Nils Jansen, Sanjit A. Seshia:
Enforcing Almost-Sure Reachability in POMDPs. - Hansol Lee, René F. Kizilcec:
Evaluation of Fairness Trade-offs in Predicting Student Success. - Kitti Gelle, Szabolcs Iván:
Scattered one-counter languges have rank less than ω2. - Matthias Maier, Martin Kronbichler:
Massively parallel 3D computation of the compressible Euler equations with an invariant-domain preserving second-order finite-element scheme. - Amir Rasouli:
Deep Learning for Vision-based Prediction: A Survey. - Russell Schwartz, Pratap Tokekar:
Robust Multi-Agent Task Assignment in Failure-Prone and Adversarial Environments. - Goodarz Mehr, Azim Eskandarian:
Traffic Delay Reduction at Highway Diverges Using an Advance Warning System Based on a Probabilistic Prediction Model. - Alexander Bork, Sebastian Junges, Joost-Pieter Katoen, Tim Quatmann:
Verification of indefinite-horizon POMDPs. - Laila Abouzaid, Essaid Sabir, Halima Elbiaze, Ahmed Errami, Othmane Benhmammouch:
The Meshing of the Sky: Delivering Ubiquitous Connectivity to Ground Internet of Things. - Wojciech Czerwinski, Georg Zetzsche:
An Approach to Regular Separability in Vector Addition Systems. - Syed Suleman Abbas Zaidi, Xavier Boix, Neeraj Prasad, Sharon Gilad-Gutnick, Shlomit Ben-Ami, Pawan Sinha:
Is Robustness To Transformations Driven by Invariant Neural Representations? - Zhe Huang, Aamir Hasan, Katherine Rose Driggs-Campbell:
Intention-aware Residual Bidirectional LSTM for Long-term Pedestrian Trajectory Prediction. - Océane Boulais, Ben Woodward, Brian Schlining, Lonny Lundsten, Kevin Barnard, Katy Croff Bell, Kakani Katija:
FathomNet: An underwater image training database for ocean exploration and discovery. - Chris Lin, Gerald J. Sun, Krishna C. Bulusu, Jonathan R. Dry, Marylens Hernandez:
Graph Neural Networks Including Sparse Interpretability. - David A. Plaisted:
Situation Calculus by Term Rewriting. - Fábio Machado Gil, Nuno M. Garcia, Bárbara Matos, Nuno Pombo, Rossitza Goleva, Ciprian Dobre:
Identifying Packet Loss and Reordering Packets in Keyed UDP Transmissions. - Anurag Kumar, Vamsi Krishna Ithapu:
A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition. - Eric Dodds, Jack Culpepper, Simao Herdade, Yang Zhang, Kofi Boakye:
Modality-Agnostic Attention Fusion for visual search with text feedback. - Aminollah Khormali, DaeHun Nyang, David Mohaisen:
Generating Adversarial Examples with an Optimized Quality. - Eric Wong, Tim Schneider, Joerg Schmitt, Frank R. Schmidt, J. Zico Kolter:
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications. - Yingjie Fei, Zhuoran Yang, Zhaoran Wang, Qiaomin Xie:
Dynamic Regret of Policy Optimization in Non-stationary Environments. - Sheng Liu, Jonathan Niles-Weed, Narges Razavian, Carlos Fernandez-Granda:
Early-Learning Regularization Prevents Memorization of Noisy Labels. - Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood:
Semi-supervised Sequential Generative Models. - Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Matthew Denton, Tushar Krishna:
Efficient Communication Acceleration for Next-Gen Scale-up Deep Learning Training Platforms. - Ransalu Senanayake, Maneekwan Toyungyernsub, Mingyu Wang, Mykel J. Kochenderfer, Mac Schwager:
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments. - Andrew Jesson, Sören Mindermann, Uri Shalit, Yarin Gal:
Identifying Causal Effect Inference Failure with Uncertainty-Aware Models. - Anthony Tompkins, Ransalu Senanayake, Fabio Ramos:
Online Domain Adaptation for Occupancy Mapping. - Siddhant Bansal, Praveen Krishnan, C. V. Jawahar:
Fused Text Recogniser and Deep Embeddings Improve Word Recognition and Retrieval. - Thorsten Altenkirch, Luis Scoccola:
The Integers as a Higher Inductive Type. - Sabah Al-Fedaghi, Esraa Haidar:
Thinging-Based Conceptual Modeling: Case Study of a Tendering System. - Shuai Han, Wenbo Zhou, Shuai Lü, Jiayu Yu:
Regularly Updated Deterministic Policy Gradient Algorithm. - Shiyong Zhu, Jianquan Lu, Shun-ichi Azuma:
Pinning Controllability of Boolean Networks: Application to Large-Scale Genetic Networks. - Homanga Bharadhwaj, Dylan Turpin, Animesh Garg, Ashton Anderson:
De-anonymization of authors through arXiv submissions during double-blind review. - Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh:
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. - Mohammad M. Jalalzai, Chen Feng, Costas Busch, Golden G. Richard III, Jianyu Niu:
The Hermes BFT for Blockchains. - Yi Liu, Veronika Rocková:
Variable Selection via Thompson Sampling. - Xiaozhe Hu, Kaiyi Wu, Ludmil T. Zikatanov:
A Posteriori Error Estimates for Multilevel Methods for Graph Laplacians. - Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua:
Interactive Path Reasoning on Graph for Conversational Recommendation. - Mohammad Rostami, Aram Galstyan:
Sequential Unsupervised Domain Adaptation through Prototypical Distributions. - Stefan Pillwein, Kurt Leimer, Michael Birsak, Przemyslaw Musialski:
On Elastic Geodesic Grids and Their Planar to Spatial Deployment. - Yang Liu, Pieter Ghysels, Lisa Claus, Xiaoye Sherry Li:
Sparse Approximate Multifrontal Factorization with Butterfly Compression for High Frequency Wave Equations. - Jordan Erskine, Chris Lehnert:
Developing cooperative policies for multi-stage tasks. - Julianne Chung, Eric de Sturler, Jiahua Jiang:
Hybrid Projection Methods with Recycling for Inverse Problems. - Guangchun Ruan, Haiwang Zhong, Guanglun Zhang, Yiliu He, Xuan Wang, Tianjiao Pu:
Review of Learning-Assisted Power System Optimization. - Marc T. Law, Jos Stam:
Ultrahyperbolic Representation Learning. - Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola:
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. - Minbyul Jeong, Mujeen Sung, Gangwoo Kim, Donghyeon Kim, Wonjin Yoon, Jaehyo Yoo, Jaewoo Kang:
Transferability of Natural Language Inference to Biomedical Question Answering. - Ching-Yao Chuang, Joshua Robinson, Yen-Chen Lin, Antonio Torralba, Stefanie Jegelka:
Debiased Contrastive Learning. - Yipeng Zhang, Hanjia Lyu, Yubao Liu, Xiyang Zhang, Yu Wang, Jiebo Luo:
Monitoring Depression Trend on Twitter during the COVID-19 Pandemic. - Wanrong Zhu, Xin Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang:
Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation. - Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan:
Linear Convergent Decentralized Optimization with Compression. - Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang:
SemEval-2020 Task 4: Commonsense Validation and Explanation. - Dongxian Wu, Yisen Wang, Zhuobin Zheng, Shutao Xia:
Temporal Calibrated Regularization for Robust Noisy Label Learning. - Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai:
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. - Trevor Ablett, Filip Maric, Jonathan Kelly:
Fighting Failures with FIRE: Failure Identification to Reduce Expert Burden in Intervention-Based Learning. - Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar:
Unifying Model Explainability and Robustness via Machine-Checkable Concepts. - Kyle Bittner, Martine De Cock, Rafael Dowsley:
Private Speech Characterization with Secure Multiparty Computation. - Wanchun Liu, Girish N. Nair, Yonghui Li, Dragan Nesic, Branka Vucetic, H. Vincent Poor:
On the Latency, Rate and Reliability Tradeoff in Wireless Networked Control Systems for IIoT. - Ekaterina Artemova, Tatiana Batura, Anna Golenkovskaya, Vitaly Ivanin, Vladimir Ivanov, Veronika Sarkisyan, Ivan Smurov, Elena Tutubalina:
So What's the Plan? Mining Strategic Planning Documents. - Tixiao Shan, Brendan J. Englot, Drew Meyers, Wei Wang, Carlo Ratti, Daniela Rus:
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping. - Suleiman Y. Yerima, Mohammed K. Alzaylaee:
Mobile Botnet Detection: A Deep Learning Approach Using Convolutional Neural Networks. - Tianyi Liang, Long Lan, Zhigang Luo:
Enhancing the Association in Multi-Object Tracking via Neighbor Graph. - Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant:
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. - So Yeon Min, Preethi Raghavan, Peter Szolovits:
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces. - Daichi Kitamura, Kohei Yatabe:
Consistent Independent Low-Rank Matrix Analysis for Determined Blind Source Separation. - Maria Girardi, Cristina Padovani, Daniele Pellegrini, Leonardo Robol:
A finite element model updating method based on global optimization. - Zihan Jiang, Lei Wang, Xingwang Xiong, Wanling Gao, Chunjie Luo, Fei Tang, Chuanxin Lan, Hongxiao Li, Jianfeng Zhan:
HPC AI500: The Methodology, Tools, Roofline Performance Models, and Metrics for Benchmarking HPC AI Systems. - Jiachi Chen, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang:
Maintaining Smart Contracts on Ethereum: Issues, Techniques, and Future Challenges. - Washim Uddin Mondal, Goutam Das:
On Exact Distribution of Poisson-Voronoi Area in K-tier HetNets with Generalized Association Rule. - Andreas Pfeuffer, Klaus Dietmayer:
Robust Semantic Segmentation in Adverse Weather Conditions by means of Fast Video-Sequence Segmentation. - Max Argus, Lukás Hermann, Jon Long, Thomas Brox:
FlowControl: Optical Flow Based Visual Servoing. - Severi Peltonen, Luca Mezzalira, Davide Taibi:
Motivations, Benefits, and Issues for Adopting Micro-Frontends: A Multivocal Literature Review. - Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon:
Belief Propagation Neural Networks. - Lina Zhao, Eun-Jae Park, Eric T. Chung:
A pressure robust staggered discontinuous Galerkin method for the Stokes equations. - Arthur Drichel, Ulrike Meyer, Samuel Schüppen, Dominik Teubert:
Making Use of NXt to Nothing: The Effect of Class Imbalances on DGA Detection Classifiers. - Miguel de Prado, Romain Donze, Alessandro Capotondi, Manuele Rusci, Serge Monnerat, Luca Benini, Nuria Pazos:
Robust navigation with tinyML for autonomous mini-vehicles. - Valeriu Motroi, Stefan Ciobaca:
A Typo in the Paterson-Wegman-de Champeaux algorithm. - Mark J. Kilgard:
Polar Stroking: New Theory and Methods for Stroking Paths. - Guillaume Jaume, Pushpak Pati, Antonio Foncubierta-Rodríguez, Florinda Feroce, Giosue Scognamiglio, Anna Maria Anniciello, Jean-Philippe Thiran, Orcun Goksel, Maria Gabrani:
Towards Explainable Graph Representations in Digital Pathology. - Sabur Hassan Baidya, Pramod Shirol, Abhishek Basu, Ravi Prakash:
Employing WiFi Direct to Build a Wireless Network over both 2.4 GHz and 5.8 GHz bands. - Ryan Culkin, J. Edward Hu, Elias Stengel-Eskin, Guanghui Qin, Benjamin Van Durme:
Iterative Paraphrastic Augmentation with Discriminative Span Alignment. - Alessandro Simoni, Luca Bergamini, Andrea Palazzi, Simone Calderara, Rita Cucchiara:
Future Urban Scenes Generation Through Vehicles Synthesis. - Zhenghai Chen, Tiow Seng Tan, Hong-Yang Ong:
On Designing GPU Algorithms with Applications to Mesh Refinement. - Hui Li, Xiao-Jun Wu, Tariq S. Durrani:
NestFuse: An Infrared and Visible Image Fusion Architecture based on Nest Connection and Spatial/Channel Attention Models. - Anil Kurt, Gökhan Muzaffer Güvensen:
An Efficient Slow-Time Adaptation for Massive MIMO Hybrid Beamforming in mm-Wave Time-Varying Channels. - Klemens Esterle, Luis Gressenbuch, Alois C. Knoll:
Formalizing Traffic Rules for Machine Interpretability. - Minhyeok Lee, Junhee Seok:
Estimation with Uncertainty via Conditional Generative Adversarial Networks. - Kishor Datta Gupta, Zahid Akhtar, Dipankar Dasgupta:
Determining Sequence of Image Processing Technique (IPT) to Detect Adversarial Attacks. - Weizhu Qian, Bowei Chen, Franck Gechter:
Multi-Task Variational Information Bottleneck. - Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire:
Distributed Linearly Separable Computation. - Clemens Damke, Vitalik Melnikov, Eyke Hüllermeier:
A Novel Higher-order Weisfeiler-Lehman Graph Convolution. - Alexander Heinrich, Milan Stute, Matthias Hollick:
DEMO: BTLEmap: Nmap for Bluetooth Low Energy. - Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Adaptive Procedural Task Generation for Hard-Exploration Problems. - Pierre Ganty, Elena Gutiérrez, Pedro Valero:
A Quasiorder-based Perspective on Residual Automata. - Evangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan, Martin Neil, William Marsh, Norman E. Fenton:
Medical idioms for clinical Bayesian network development. - Rubing Huang, Quanjun Zhang, Dave Towey, Weifeng Sun, Jinfu Chen:
Regression Test Case Prioritization by Code Combinations Coverage. - Juanping Zhu, Hairong Gu:
Can Global Optimization Strategy Outperform Myopic Strategy for Bayesian Parameter Estimation? - Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Unsupervised Semantic Hashing with Pairwise Reconstruction. - Tasfia Shermin, Guojun Lu, Shyh Wei Teng, M. Manzur Murshed, Ferdous Sohel:
Open Set Domain Adaptation with Multi-Classifier Adversarial Network. - Digby Chappell, Ke Wang, Petar Kormushev:
Asynchronous Real-Time Optimization of Footstep Placement and Timing in Bipedal Walking Robots. - Joost van Amersfoort, Milad Alizadeh, Sebastian Farquhar, Nicholas D. Lane, Yarin Gal:
Single Shot Structured Pruning Before Training. - Ahmad Deeb, Aziz Hamdouni, Dina Razafindralandy:
Performance of Borel-Laplace integrator for the resolution of stiff and non-stiff problems. - Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen:
Convex Regularization in Monte-Carlo Tree Search. - Yizhak Ben-Shabat, Xin Yu, Fatemeh Sadat Saleh, Dylan Campbell, Cristian Rodriguez Opazo, Hongdong Li, Stephen Gould:
The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose. - Minesh Mathew, Dimosthenis Karatzas, R. Manmatha, C. V. Jawahar:
DocVQA: A Dataset for VQA on Document Images. - Scott Pesme, Nicolas Flammarion:
Online Robust Regression via SGD on the l1 loss. - Tom Gustafsson, Rolf Stenberg, Juha H. Videman:
Nitsche's method for Kirchhoff plates. - Peter Meisrimel, Azahar Monge, Philipp Birken:
A time adaptive multirate Dirichlet-Neumann waveform relaxation method for heterogeneous coupled heat equations. - Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Handling Variable-Dimensional Time Series with Graph Neural Networks. - Yamin Li, Kai Tang, Dong He, Xiangyu Wang:
Multi-Axis Support-Free Printing of Freeform Parts with Lattice Infill Structures. - Quinten Stokkink, Dick H. J. Epema, Johan Pouwelse:
A Truly Self-Sovereign Identity System. - Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo:
Joint-Diagonalizability-Constrained Multichannel Nonnegative Matrix Factorization Based on Multivariate Complex Sub-Gaussian Distribution. - Pierre Leleux, Sylvain Courtain, Guillaume Guex, Marco Saerens:
Sparse Randomized Shortest Paths Routing with Tsallis Divergence Regularization. - Yongseok Jang, Simon Shaw:
A priori error analysis for a finite element approximation of dynamic viscoelasticity problems involving a fractional order integro-differential constitutive law. - Martin Troussard, Emmanuel Pignat, Parameswaran Kamalaruban, Sylvain Calinon, Volkan Cevher:
Interaction-limited Inverse Reinforcement Learning. - Michael Tashman, Jiayi Xie, John Hoffman, Lee Winikor, Rouzbeh Gerami:
Dynamic Bidding Strategies with Multivariate Feedback Control for Multiple Goals in Display Advertising. - Ahmed Aboudonia, Annika Eichler, John Lygeros:
Distributed Model Predictive Control with Reconfigurable Terminal Ingredients for Reference Tracking. - Maurice Poot, Jim Portegies, Tom Oomen:
On the Role of Models in Learning Control: Actor-Critic Iterative Learning Control. - Xiang Yang:
Shuffle-Exchange Brings Faster: Reduce the Idle Time During Communication for Decentralized Neural Network Training. - Mehmet Emin Aktas, Esra Akbas:
Graph Classification via Heat Diffusion on Simplicial Complexes. - Qiuyun Zou, Haochuan Zhang, Hongwen Yang:
Multi-Layer Bilinear Generalized Approximate Message Passing. - Priyank Deshpande:
Error Correcting Codes, finding polynomials of bounded degree agreeing on a dense fraction of a set of points. - Giovanni Sutanto, Katharina Rombach, Yevgen Chebotar, Zhe Su, Stefan Schaal, Gaurav S. Sukhatme, Franziska Meier:
Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed. - Karol Gotkowski, Camila González, Andreas Bucher, Anirban Mukhopadhyay:
M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning. - Lei Hua, Maochao Xu:
Pricing cyber insurance for a large-scale network. - Sabrina Kirrane, Alessandra Mileo, Axel Polleres, Stefan Decker:
Query Based Access Control for Linked Data. - Richa Verma, Aniruddha Singhal, Harshad Khadilkar, Ansuma Basumatary, Siddharth Nayak, Harsh Vardhan Singh, Swagat Kumar, Rajesh Sinha:
A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing. - Aleieldin Salem:
Towards Accurate Labeling of Android Apps for Reliable Malware Detection. - Thomas Simpson, Nikolaos Dervilis, Eleni N. Chatzi:
On the use of Nonlinear Normal Modes for Nonlinear Reduced Order Modelling. - Zhun Fan, Chong Li, Ying Chen, Jiahong Wei, Giuseppe Loprencipe, Xiaopeng Chen, Paola Di Mascio:
Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture. - Ryuki Suzuki, Ryosuke Kataoka, Yonghoon Ji, Hiromitsu Fujii, Hitoshi Kono, Kazunori Umeda:
SLAM using ICP and graph optimization considering physical properties of environment. - Timothée Lesort:
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes. - Jeyakumar Samantha Tharani, Nalin Asanka Gamagedara Arachchilage:
Understanding phishers' strategies of mimicking uniform resource locators to leverage phishing attacks: A machine learning approach. - Dominika Przewlocka, Mateusz Wasala, Hubert Szolc, Krzysztof Blachut, Tomasz Kryjak:
Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking. - Shaoqing Yuan, Parminder Bhatia, Busra Celikkaya, Haiyang Liu, Kyunghwan Choi:
Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network. - Joanna Stanisz, Konrad Lis, Tomasz Kryjak, Marek Gorgon:
Optimisation of the PointPillars network for 3D object detection in point clouds. - Chatura Samarakoon, Gehan Amaratunga, Phillip Stanley-Marbell:
Content-Aware Automated Parameter Tuning for Approximate Color Transforms. - Richard Mitev, Anna Pazii, Markus Miettinen, William Enck, Ahmad-Reza Sadeghi:
LeakyPick: IoT Audio Spy Detector. - Ke Tang, Shengcai Liu, Peng Yang, Xin Yao:
Few-shots Parameter Tuning via Co-evolution. - Mnacho Echenim, Radu Iosif, Nicolas Peltier:
Decidable Entailments in Separation Logic with Inductive Definitions: Beyond Established Systems. - Alessandro Abate, Alessandro Cimatti, Andrea Micheli, Muhammad Syifa'ul Mufid:
Computation of the Transient in Max-Plus Linear Systems via SMT-Solving. - Aleieldin Salem, Sebastian Banescu, Alexander Pretschner:
Maat: Automatically Analyzing VirusTotal for Accurate Labeling and Effective Malware Detection. - Haiyang Liu, Yichen Wang, Jiayi Zhao, Guowu Yang, Fengmao Lv:
Learning unbiased zero-shot semantic segmentation networks via transductive transfer. - Michele Ginesi, Daniele Meli, Andrea Roberti, Nicola Sansonetto, Paolo Fiorini:
Dynamic Movement Primitives: Volumetric Obstacle Avoidance Using Dynamic Potential Functions. - José Jiménez-Luna, Francesca Grisoni, Gisbert Schneider:
Drug discovery with explainable artificial intelligence. - Jun Ma, Dong Wang, Xiao-Ping Wang, Xiaoping Yang:
A Fast Algorithm for Geodesic Active Contours with Applications to Medical Image Segmentation. - Tao Liu:
MLPs to Find Extrema of Functionals. - Scott Pesme, Aymeric Dieuleveut, Nicolas Flammarion:
On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent. - Ramses Sala, Ralf Müller:
Benchmarking for Metaheuristic Black-Box Optimization: Perspectives and Open Challenges. - Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert:
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach. - Dominik Rivoir, Sebastian Bodenstedt, Isabel Funke, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel:
Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance. - Thomas Griebel, Johannes Müller, Michael Buchholz, Klaus Dietmayer:
Kalman Filter Meets Subjective Logic: A Self-Assessing Kalman Filter Using Subjective Logic. - Pablo Carballeira, Carlos Carmona, César Díaz, Daniel Berjón, Daniel Corregidor, Julián Cabrera, Francisco Morán, Carmen Doblado, Sergio Arnaldo, María del Mar Martín, Narciso García:
FVV Live: A real-time free-viewpoint video system with consumer electronics hardware. - Jesy Pachat, Nujoom Sageer Karat, Deepthi P. P., B. Sundar Rajan:
Index Coding in Vehicle to Vehicle Communication. - Flavia Bonomo-Braberman, Guillermo Alfredo Durán, Nina Pardal, Martín D. Safe:
Forbidden induced subgraph characterization of circle graphs within split graphs. - Erman Acar, Rafael Peñaloza:
Reasoning with Contextual Knowledge and Influence Diagrams. - Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych:
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. - Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes, Antonio Foncubierta, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Orcun Goksel, Jean-Philippe Thiran, Maria Frucci, Maria Gabrani:
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. - Vivien Sainte Fare Garnot, Loïc Landrieu:
Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series. - Antonia Gogoglou, Brian Nguyen, Alan Salimov, Jonathan Rider, C. Bayan Bruss:
Navigating the Dynamics of Financial Embeddings over Time. - Bin Wang, Yaolin Jiang:
Optimal convergence and long-time conservation of exponential integration for Schrödinger equations in a normal or highly oscillatory regime. - Marian Babik, Shawn McKee:
Network Capabilities for the HL-LHC Era. - Zach Moshe, Asher Metzger, Gal Elidan, Frederik Kratzert, Sella Nevo, Ran El-Yaniv:
HydroNets: Leveraging River Structure for Hydrologic Modeling. - Marian Babik, Shawn McKee, Pedro Andrade, Brian Paul Bockelman, Robert W. Gardner, Edgar Mauricio Fajardo Hernandez, Edoardo Martelli, Ilija Vukotic, Derek Weitzel, Marián Zvada:
WLCG Networks: Update on Monitoring and Analytics. - Christina Runkel, Stefan Dorenkamp, Hartmut Bauermeister, Michael Moeller:
Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction. - Nuh Aydin, Thomas Guidotti, Peihan Liu:
New Linear Codes as Quasi-Twisted Codes from Long Constacyclic Codes. - Daniel Hillerström, Sam Lindley, John Longley:
Effects for Efficiency: Asymptotic Speedup with First-Class Control. - Sina Ghiassian, Andrew Patterson, Shivam Garg, Dhawal Gupta, Adam White, Martha White:
Gradient Temporal-Difference Learning with Regularized Corrections. - Anis Zaman, Boyu Zhang, Vincent Silenzio, Ehsan Hoque, Henry A. Kautz:
Estimating Anxiety based on individual level engagements on YouTube & Google Search Engine. - Härmel Nestra:
Equational Reasoning for MTL Type Classes. - Weichen Dai, Yu Zhang, Shenzhou Chen, Donglei Sun, Da Kong:
A Dataset for Evaluating Multi-spectral Motion Estimation Methods. - Matthew Connor, Othon Michail, Paul G. Spirakis:
On the Distributed Construction of Stable Networks in Polylogarithmic Parallel Time. - Yunzhu Li, Antonio Torralba, Animashree Anandkumar, Dieter Fox, Animesh Garg:
Causal Discovery in Physical Systems from Videos. - John Kalung Leung, Igor Griva, William G. Kennedy:
Making Use of Affective Features from Media Content Metadata for Better Movie Recommendation Making. - Simon Jantsch, Florian Funke, Christel Baier:
Minimal witnesses for probabilistic timed automata. - Elliot Paquette, Thomas Trogdon:
Universality for the conjugate gradient and MINRES algorithms on sample covariance matrices. - Reza Tourani, Srikathyayani Srikanteswara, Satyajayant Misra, Richard Chow, Lily L. Yang, Xiruo Liu, Yi Zhang:
Democratizing the Edge: A Pervasive Edge Computing Framework. - Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan:
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference. - Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta, Ruslan Salakhutdinov:
Object Goal Navigation using Goal-Oriented Semantic Exploration. - Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt:
Measuring Robustness to Natural Distribution Shifts in Image Classification. - Hao Chen, Abhinav Shrivastava:
Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet. - Rami Al-Dalky, Michael Rabinovich:
Revisiting Comparative Performance of DNS Resolvers in the IPv6 and ECS Era. - Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang:
Swapping Autoencoder for Deep Image Manipulation. - Corby Rosset, Chenyan Xiong, Minh Phan, Xia Song, Paul N. Bennett, Saurabh Tiwary:
Knowledge-Aware Language Model Pretraining. - Juanping Zhu, Qi Meng, Wei Chen, Yue Wang, Zhiming Ma:
Constructing Basis Path Set by Eliminating Path Dependency. - Biwei Dai, Uros Seljak:
Sliced Iterative Generator. - Andrea Carron, Jerome Sieber, Melanie N. Zeilinger:
Distributed Safe Learning using an Invariance-based Safety Framework. - Wei Wang, Haojie Li, Zhengming Ding, Zhihui Wang:
Rethink Maximum Mean Discrepancy for Domain Adaptation. - Xiao Wang, Saasha Nair, Matthias Althoff:
Falsification-Based Robust Adversarial Reinforcement Learning. - Dimitur Nikolaev Krustev:
Experience Report: Smuggling a Little Bit of Coq Inside a CAD Development Context (Extended Abstract). - Jonathan N. Lee, Aldo Pacchiano, Peter L. Bartlett, Michael I. Jordan:
Accelerated Message Passing for Entropy-Regularized MAP Inference. - Marianna Bergamaschi Ganapini, Camylle Lanteigne, Abhishek Gupta:
Response by the Montreal AI Ethics Institute to the Santa Clara Principles on Transparency and Accountability in Online Content Moderation. - Maolin Yang, Ze-Wei Chen, Xu Jiang, Nan Guan, Hang Lei:
DPCP-p: A Distributed Locking Protocol for Parallel Real-Time Tasks. - Linnan Wang, Rodrigo Fonseca, Yuandong Tian:
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search. - Hossein Hematialam, Luciana Garbayo, Seethalakshmi Gopalakrishnan, Wlodek Zadrozny:
Computing Conceptual Distances between Breast Cancer Screening Guidelines: An Implementation of a Near-Peer Epistemic Model of Medical Disagreement. - Miguel Villarreal-Vasquez, Bharat K. Bhargava:
ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks. - Dominik Janzing, Patrick Blöbaum, Lenon Minorics:
Quantifying causal contribution via structure preserving interventions. - Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu:
Adaptive Discretization for Model-Based Reinforcement Learning. - Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton:
Adversarial Example Games. - Andrea Tirinzoni, Riccardo Poiani, Marcello Restelli:
Sequential Transfer in Reinforcement Learning with a Generative Model. - Gordon A. Christie, Rodrigo Rene Rai Munoz Abujder, Kevin Foster, Shea Hagstrom, Gregory D. Hager, Myron Z. Brown:
Learning Geocentric Object Pose in Oblique Monocular Images. - Max Rapp, Axel Adrian, Michael Kohlhase:
Context Graphs for Legal Reasoning and Argumentation. - Kyung Kim, Robert C. Leishman, Scott L. Nykl:
Virtual Testbed for Monocular Visual Navigation of Small Unmanned Aircraft Systems. - Mahmoud Abdelrahman, Adrian Chong, Clayton Miller:
Build2Vec: Building Representation in Vector Space. - W. Steven Gray, Kurusch Ebrahimi-Fard:
Generating Series for Networks of Chen-Fliess Series. - Bhanuka Manesha Samarasekara Vitharana Gamage, Vishnu Monn Baskaran:
Efficient Generation of Mandelbrot Set using Message Passing Interface. - Yusuf Sermet, Ibrahim Demir:
A Semantic Web Framework for Automated Smart Assistants: COVID-19 Case Study. - Ostap Viniavskyi, Mariia Dobko, Oles Dobosevych:
Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images. - Caitrin Armstrong, Derek Ruths:
Legends: Folklore on Reddit. - Ana Nora Evans, Bradford Campbell, Mary Lou Soffa:
Is Rust Used Safely by Software Developers? - Samuel Henrique Silva, Peyman Najafirad:
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey. - Bhanuka Manesha Samarasekara Vitharana Gamage, Vishnu Monn Baskaran:
Simulation and Analysis of Distributed Wireless Sensor Network using Message Passing Interface. - Patrick Koopmann, Warren Del-Pinto, Sophie Tourret, Renate A. Schmidt:
Signature-Based Abduction for Expressive Description Logics - Technical Report. - Cosmas Heiß, Ron Levie, Cinjon Resnick, Gitta Kutyniok, Joan Bruna:
In-Distribution Interpretability for Challenging Modalities. - Asaf B. Cassel, Tomer Koren:
Bandit Linear Control. - Austin R. Benson, Paul Liu, Hao Yin:
A simple bipartite graph projection model for clustering in networks. - Jithin Sunny, Joel Jogy, Rohan Rout, Rakshit Naidu:
TeleVital: Enhancing the quality of contactless health assessment. - Carmine-Emanuele Cella, Daniele Ghisi, Vincent Lostanlen, Fabien Lévy, Joshua Fineberg, Yan Maresz:
OrchideaSOL: a dataset of extended instrumental techniques for computer-aided orchestration. - Matteo Romiti, Friedhelm Victor, Pedro Moreno-Sanchez, Bernhard Haslhofer, Matteo Maffei:
Cross-Layer Deanonymization Methods in the Lightning Protocol. - Fang Liu:
A Statistical Overview on Data Privacy. - Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie:
NP-PROV: Neural Processes with Position-Relevant-Only Variances. - Yizhen Wang, Xiaozhu Meng, Mihai Christodorescu, Somesh Jha:
Robust Learning against Logical Adversaries. - Yu Zhang, Winston Smith:
Achieving Multi-Tasking Robots in Multi-Robot Tasks. - Umang Garg, Kezhou Yang, Abhronil Sengupta:
Emulation of Astrocyte Induced Neural Phase Synchrony in Spin-Orbit Torque Oscillator Neurons. - Zakk Giacometti, Yu Zhang:
Allocation of Multi-Robot Tasks with Task Variants. - Thiago M. Paixão, Rodrigo Ferreira Berriel, Maria C. S. Boeres, Alessandro L. Koerich, Claudine Badue, Alberto Ferreira de Souza, Thiago Oliveira-Santos:
Self-supervised Deep Reconstruction of Mixed Strip-shredded Text Documents. - Anyastassia Seboldt, Martina Bukac:
A non-iterative domain decomposition method for the interaction between a fluid and a thick structure. - J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster:
Convolutional Neural Network Training with Distributed K-FAC. - Bazyli Klockiewicz, Léopold Cambier, Ryan Humble, Hamdi A. Tchelepi, Eric Darve:
Second Order Accurate Hierarchical Approximate Factorization of Sparse SPD Matrices. - Pu Ren, Xinyu Chen, Lijun Sun, Hao Sun:
Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting. - Bingqing Chen, Weiran Yao, Jonathan Francis, Mario Bergés:
Learning a Distributed Control Scheme for Demand Flexibility in Thermostatically Controlled Loads. - Haoyi Wang, Victor Sanchez, Chang-Tsun Li:
Age-Oriented Face Synthesis with Conditional Discriminator Pool and Adversarial Triplet Loss. - Andrey A. Popov, Changhong Mou, Traian Iliescu, Adrian Sandu:
A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates. - Ching-An Cheng, Andrey Kolobov, Alekh Agarwal:
Policy Improvement from Multiple Experts. - Raj Korpan, Susan L. Epstein:
Deliberate Exploration Supports Navigation in Unfamiliar Worlds. - Yash Patel, Tomas Hodan, Jiri Matas:
Learning Surrogates via Deep Embedding. - Huanru Henry Mao:
A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks. - Arindam Das, Pavel Krízek, Ganesh Sistu, Fabian Bürger, Sankaralingam Madasamy, Michal Uricár, Varun Ravi Kumar, Senthil Kumar Yogamani:
TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric. - Chris Miller, Soroush Vosoughi:
Query-Free Adversarial Transfer via Undertrained Surrogates. - Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, Arnold Overwijk:
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. - Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc V. Le, Qiang Liu, Dale Schuurmans:
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. - Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos:
MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. - Omar Khattab, Christopher Potts, Matei Zaharia:
Relevance-guided Supervision for OpenQA with ColBERT. - Xuan Hu, Brighton A. Hill, Felipe García-Sánchez, Joseph S. Friedman:
Threshold Logic with Current-Driven Magnetic Domain Walls. - Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati:
Designing Environments Conducive to Interpretable Robot Behavior. - Buyu Liu, Bingbing Zhuang, Samuel Schulter, Pan Ji, Manmohan Chandraker:
Understanding Road Layout from Videos as a Whole. - Benjamin J. Lengerich, Eric P. Xing, Rich Caruana:
On Dropout, Overfitting, and Interaction Effects in Deep Neural Networks. - Gabriela Ferraro, Brendan Loo Gee, Shenjia Ji, Luis Salvador-Carulla:
Lightme: Analysing Language in Internet Support Groups for Mental Health. - Pierre-Francois Wolfe, Rushi Patel, Robert Munafo, Mayank Varia, Martin C. Herbordt:
Secret Sharing MPC on FPGAs in the Datacenter. - Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung:
Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach. - Ming Ding, Mikihisa Nagashima, Sung-Gwi Cho, Jun Takamatsu, Tsukasa Ogasawara:
Control of Walking Assist Exoskeleton with Time-delay Based on the Prediction of Plantar Force. - Anil Gaihre, Xiaoye S. Li, Hang Liu:
GSoFa: Scalable Sparse LU Symbolic Factorization on GPUs. - Junbeom Kim, Hoon Lee, Seung-Eun Hong, Seok-Hwan Park:
Deep Learning Methods for Universal MISO Beamforming. - Sunil Kumar Yadav, Martin Skrodzki, Eric Zimmermann, Konrad Polthier:
Surface Denoising based on Normal Filtering in a Robust Statistics Framework. - Michael Potter, Henry Gridley, Noah Lichtenstein, Kevin Hines, John Nguyen, Jacob Walsh:
Low-light Environment Neural Surveillance. - Pat Verga, Haitian Sun, Livio Baldini Soares, William W. Cohen:
Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge. - Michelle L. Blom, Andrew Conway, Peter J. Stuckey, Vanessa Teague, Damjan Vukcevic:
Random errors are not politically neutral. - Kai Wan, Hua Sun, Mingyue Ji, Daniela Tuninetti, Giuseppe Caire:
Cache-Aided Matrix Multiplication Retrieval. - Meilin Gao, Bo Ai, Yong Niu, Wen Wu, Peng Yang, Feng Lyu, Xuemin Shen:
Efficient Hybrid Beamforming with Anti-Blockage Design for High-Speed Railway Communications. - Yilin Chen, Ming Li, Yongfei Wu, Xueyu Liu, Fang Hao, Daoxiang Zhou, Xiaoshuang Zhou, Chen Wang:
MSA-MIL: A deep residual multiple instance learning model based on multi-scale annotation for classification and visualization of glomerular spikes. - Yali Chen, Bo Ai, Hongliang Zhang, Yong Niu, Lingyang Song, Zhu Han, H. Vincent Poor:
Reconfigurable Intelligent Surface Assisted Device-to-Device Communications. - Dapeng Zhao, Jean Oh:
Noticing Motion Patterns: Temporal CNN with a Novel Convolution Operator for Human Trajectory Prediction. - Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li:
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. - Daniel J. Gonzalez, H. Harry Asada:
Triple Scissor Extender: A 6-DOF Lifting and Positioning Robot. - Daniel J. Gonzalez, H. Harry Asada:
Design and Analysis of 6-DOF Triple Scissor Extender Robots with Applications in Aircraft Assembly. - Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee:
ε-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning. - Kuan Cheng, Xin Li:
Efficient Document Exchange and Error Correcting Codes with Asymmetric Information. - Daniel J. Gonzalez, H. Harry Asada:
Design of Extra Robotic Legs for Augmenting Human Payload Capabilities by Exploiting Singularity and Torque Redistribution. - Kyungsu Kim, Jung Hyun Lee, Eunho Yang:
Compressed Sensing via Measurement-Conditional Generative Models. - Chetanya Rastogi, Nikka Mofid, Fang-I Hsiao:
Can We Achieve More with Less? Exploring Data Augmentation for Toxic Comment Classification. - Zachary Charles, Jakub Konecný:
On the Outsized Importance of Learning Rates in Local Update Methods. - Richard Barnes, Senaka Buthpitiya, James Cook, Alex Fabrikant, Andrew Tomkins, Fangzhou Xu:
BusTr: Predicting Bus Travel Times from Real-Time Traffic. - Elena Ausonio, Patrizia Bagnerini, Marco Ghio:
A New Direction in Firefighting Systems. - (Withdrawn) A Revision of Neural Tangent Kernel-based Approaches for Neural Networks.
- Hinako Asaoka, Kazue Kudo:
Image Analysis Based on Nonnegative/Binary Matrix Factorization. - Oluwasegun Ayokunle Somefun, Kayode Akingbade, Folasade Mojisola Dahunsi:
On the Uniformly-Damped Binomial Filter. - Wenzhe Lv, Sheng Wu, Chunxiao Jiang, Yuanhao Cui, Xuesong Qiu, Yan Zhang:
Decentralized Blockchain for Privacy-Preserving Large-Scale Contact Tracing. - Ismail Alaoui Abdellaoui, Jesús García Fernández, Caner Sahinli, Siamak Mehrkanoon:
Deep brain state classification of MEG data. - Bin Zhang, Jian Li, Yabiao Wang, Zhipeng Cui, Yili Xia, Chengjie Wang, Jilin Li, Feiyue Huang:
ACFD: Asymmetric Cartoon Face Detector. - Kamran Alipour, Arijit Ray, Xiao Lin, Jürgen P. Schulze, Yi Yao, Giedrius T. Burachas:
The Impact of Explanations on AI Competency Prediction in VQA. - Sumit Goel, Wade Hann-Caruthers:
Coordinate-wise Median: Not Bad, Not Bad, Pretty Good. - Qingheng Song, Yong Zeng, Jie Xu, Shi Jin:
A Survey of Prototype and Experiment for UAV Communications. - Nuria Rodríguez Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, María Victoria Luzón, Miguel Ángel Veganzones, Francisco Herrera:
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy. - Hayate Iso, Chao Qiao, Hang Li:
Fact-based Text Editing. - Bo Lu, Wei Chen, Yueming Jin, Dandan Zhang, Qi Dou, Henry Kar Hang Chu, Pheng-Ann Heng, Yun-Hui Liu:
A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises. - Luxi Xing, Yuqiang Xie, Yue Hu, Wei Peng:
IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE. - Elena Raponi, Hao Wang, Mariusz Bujny, Simonetta Boria, Carola Doerr:
High Dimensional Bayesian Optimization Assisted by Principal Component Analysis. - Michael Saidani, Bernard Yannou, Yann Leroy, François Cluzel, Harrison M. Kim:
How circular economy and industrial ecology concepts are intertwined? A bibliometric and text mining analysis. - Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Xiaojing Zhang, Francesco Borrelli:
Robust MPC for LTI Systems with Parametric and Additive Uncertainty: A Novel Constraint Tightening Approach. - Hachem Kadri, Stéphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola:
Partial Trace Regression and Low-Rank Kraus Decomposition. - Sang-Mun Chi:
A differential neural network learns stochastic differential equations and the Black-Scholes equation for pricing multi-asset options. - Xinyu Huang, Lijun He:
Playback experience driven cross layer optimisation of APP, transport and MAC layer for video clients over long-term evolution system. - Henry B. Moss, David S. Leslie, Paul Rayson:
BOSH: Bayesian Optimization by Sampling Hierarchically. - Ilana Segall, Alfred M. Bruckstein:
Guidance of Agents in Cyclic Pursuit. - Wei Chen, Zunwei Fu, Loukas Grafakos, Yue Wu:
Signal Encryption Strategy based on Domain change of the Fractional Fourier Transform. - Mingyuan Jiu, Nelly Pustelnik:
A deep primal-dual proximal network for image restoration. - Bishwo Adhikari, Heikki Huttunen:
Iterative Bounding Box Annotation for Object Detection. - Aleksei Pupyshev, Dmitry Gubanov, Elshan Dzhafarov, Ilya Sapranidi, Inal Kardanov, Vladimir Zhuravlev, Shamil Khalilov, Marc Jansen, Sten Laureyssens, Igor Pavlov, Sasha Ivanov:
Gravity: a blockchain-agnostic cross-chain communication and data oracles protocol. - Rachel Keraron, Guillaume Lancrenon, Mathilde Bras, Frédéric Allary, Gilles Moyse, Thomas Scialom, Edmundo-Pavel Soriano-Morales, Jacopo Staiano:
Project PIAF: Building a Native French Question-Answering Dataset. - Ettore Randazzo, Eyvind Niklasson, Alexander Mordvintsev:
MPLP: Learning a Message Passing Learning Protocol. - Samuel Håkansson, Viktor Lindblom, Omer Gottesman, Fredrik D. Johansson:
Learning to search efficiently for causally near-optimal treatments. - Kanish Garg, Ajeet Kumar Singh, Dorien Herremans, Brejesh Lall:
PerceptionGAN: Real-world Image Construction from Provided Text through Perceptual Understanding. - Andrés Fuster Guilló, Jorge Azorín López, Marcelo Saval-Calvo, Juan Miguel Castillo Zaragoza, Nahuel E. Garcia-D'Urso, Robert B. Fisher:
RGB-D-based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments. - Zhixin Chen, Mengxiang Lin, Zhixin Jia, Shibo Jian:
Towards Generalization and Data Efficient Learning of Deep Robotic Grasping. - Moritz Geilinger, David Hahn, Jonas Zehnder, Moritz Bächer, Bernhard Thomaszewski, Stelian Coros:
ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional Contact. - Dongyoon Han, Sangdoo Yun, Byeongho Heo, Young Joon Yoo:
ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network. - Dhammika Pieris, M. C. Wijegunesekera, N. G. J. Dias:
ER model Partitioning: Towards Trustworthy Automated Systems Development. - Xiang Pan, Minghua Chen, Tianyu Zhao, Steven H. Low:
DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems. - Fabian Latorre, Paul Rolland, Nadav Hallak, Volkan Cevher:
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks. - Ali Ghadirzadeh, Xi Chen, Wenjie Yin, Zhengrong Yi, Mårten Björkman, Danica Kragic:
Human-centered collaborative robots with deep reinforcement learning. - Alex Nowak-Vila, Francis R. Bach, Alessandro Rudi:
Consistent Structured Prediction with Max-Min Margin Markov Networks. - Thierry Jéron, Nicolas Markey, David Mentré, Reiya Noguchi, Ocan Sankur:
Incremental methods for checking real-time consistency. - Boyu Zhang, A. Kai Qin, Hong Pan, Timos Sellis:
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization. - Xabier Echeberria-Barrio, Amaia Gil-Lerchundi, Ines Goicoechea-Telleria, Raul Orduna Urrutia:
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment. - David Fuenmayor, Christoph Benzmüller:
Higher-order Logic as Lingua Franca - Integrating Argumentative Discourse and Deep Logical Analysis. - Lukas Lange, Heike Adel, Jannik Strötgen:
NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection. - Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori:
Quantum Ensemble for Classification. - Yuichiro Chinen, Naoto Yanai, Jason Paul Cruz, Shingo Okamura:
Hunting for Re-Entrancy Attacks in Ethereum Smart Contracts via Static Analysis. - Lukas Lange, Heike Adel, Jannik Strötgen:
NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification. - Caroline Brosse, Aurélie Lagoutte, Vincent Limouzy, Arnaud Mary, Lucas Pastor:
Efficient enumeration of maximal split subgraphs and sub-cographs and related classes. - Paul Wild, Lutz Schröder:
Characteristic Logics for Behavioural Metrics via Fuzzy Lax Extensions. - Biswarup Biswas, Harish Kumar, Anshu Yadav:
Entropy stable discontinuous Galerkin methods for ten-moment Gaussian closure equations. - Yaniv Blumenfeld, Dar Gilboa, Daniel Soudry:
Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization? - Shiqing Fan, Yi Rong, Chen Meng, Zongyan Cao, Siyu Wang, Zhen Zheng, Chuan Wu, Guoping Long, Jun Yang, Lixue Xia, Lansong Diao, Xiaoyong Liu, Wei Lin:
DAPPLE: A Pipelined Data Parallel Approach for Training Large Models. - Maya Dotan, Saar Tochner:
Proofs of Useless Work - Positive and Negative Results for Wasteless Mining Systems. - Yinghao Xu, Ceyuan Yang, Ziwei Liu, Bo Dai, Bolei Zhou:
Unsupervised Landmark Learning from Unpaired Data. - Dima Kagan, Galit Fuhrmann Alpert, Michael Fire:
Zooming Into Video Conferencing Privacy and Security Threats. - Luca Piccolboni, Giuseppe Di Guglielmo, Luca P. Carloni, Simha Sethumadhavan:
CRYLOGGER: Detecting Crypto Misuses Dynamically. - Ella M. Gale, Nicholas Martin, Ryan Blything, Anh Nguyen, Jeffrey S. Bowers:
Are there any 'object detectors' in the hidden layers of CNNs trained to identify objects or scenes? - Ziyang Song, Ziyi Yin, Zejian Yuan, Chong Zhang, Wanchao Chi, Yonggen Ling, Shenghao Zhang:
Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction. - Marcel Hildebrandt, Hang Li, Rajat Koner, Volker Tresp, Stephan Günnemann:
Scene Graph Reasoning for Visual Question Answering. - Hugo Courté, Titouan-Joseph Revol, Clément Lagneau-Donzelle, Albert Nicolás López:
The use of personal data in French public services: e-mails, websites, apps. - Remis Balaniuk, Olga Isupova, Steven Reece:
Mining and Tailings Dam Detection In Satellite Imagery Using Deep Learning. - Orowa Sikder:
Modelling heterogeneous outcomes in multi-agent systems. - Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp:
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. - Jide Yuan, Elisabeth de Carvalho, Petar Popovski:
Wireless Communication through Frequency Modulating Reflective Intelligent Surfaces. - Carlos Gonzalez, Victor Barasuol, Marco Frigerio, Roy Featherstone, Darwin G. Caldwell, Claudio Semini:
Line Walking and Balancing for Legged Robots with Point Feet. - Tamami Nakano, Atsuya Sakata, Akihiro Kishimoto:
Estimating Blink Probability for Highlight Detection in Figure Skating Videos. - Daniel Reiss Harris:
PrototypeML: A Neural Network Integrated Design and Development Environment. - Ajay Subramanian, Sharad Chitlangia, Veeky Baths:
Psychological and Neural Evidence for Reinforcement Learning: A Survey. - Xiao Huang, Zhenlong Li, Yuqin Jiang, Xiaoming Li, Dwayne Porter:
Twitter, human mobility, and COVID-19. - Carlos Galindo, Fernando Hernando, Diego Ruano:
Entanglement-Assisted Quantum Error Correcting Codes From RS Codes and BCH Codes with Extension Degree 2. - Giovanni Barbieri, Mauro Conti, Nils Ole Tippenhauer, Federico Turrin:
Sorry, Shodan is not Enough! Assessing ICS Security via IXP Network Traffic Analysis. - Valentin P. Bakoev:
A Method for Fast Computing the Algebraic Degree of Boolean Functions. - Christoph Grunau, Václav Rozhon:
Adapting k-means algorithms for outliers. - Jianren Wang, Yihui He:
Motion Prediction in Visual Object Tracking. - Partoo Vafaeikia, Khashayar Namdar, Farzad Khalvati:
A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning. - Shivaji Alaparthi, Manit Mishra:
Bidirectional Encoder Representations from Transformers (BERT): A sentiment analysis odyssey. - Hirah Malik, Cédric Adjih, Claudio Weidmann, Michel Kieffer:
MICN: a network coding protocol for ICN with multiple distinct interests per generation. - Rasheed el-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton:
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location. - Nicholas Napolitano:
Testing match-3 video games with Deep Reinforcement Learning. - Siddhartha Mishra, Roberto Molinaro:
Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating PDEs II: A class of inverse problems. - Mohammed Javed, P. Nagabhushan:
Automatic Page Segmentation Without Decompressing the Run-Length Compressed Text Documents. - Lucas Mourot, François Le Clerc, Cédric Thébault, Pierre Hellier:
JUMPS: Joints Upsampling Method for Pose Sequences. - Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates. - Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari, Mehrdad Mahdavi:
Federated Learning with Compression: Unified Analysis and Sharp Guarantees. - Jorge Peña Queralta, Li Qingqing, Zhuo Zou, Tomi Westerlund:
Enhancing Autonomy with Blockchain and Multi-Access Edge Computing in Distributed Robotic Systems. - Blair L. Bilodeau, Dylan J. Foster, Daniel M. Roy:
Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance. - Xiu Ye, Shangyou Zhang:
A conforming discontinuous Galerkin finite element method for the Stokes problem on polytopal meshes. - Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith:
Tilted Empirical Risk Minimization. - Woubishet Zewdu Taffese:
Data-Driven Method for Enhanced Corrosion Assessment of Reinforced Concrete Structures. - Jingyi He, Xiaojun Zhou, Rundong Zhang, Chunhua Yang:
An ensemble learning framework based on group decision making. - Vladimir P. Gerdt, Mikhail D. Malykh, Leonid A. Sevastianov, Yu Ying:
On conservative difference schemes for the many-body problem. - Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Volkan Cevher:
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch. - Brian Roark, Lawrence Wolf-Sonkin, Christo Kirov, Sabrina J. Mielke, Cibu Johny, Isin Demirsahin, Keith B. Hall:
Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset. - Yuge Shi, Brooks Paige, Philip H. S. Torr, N. Siddharth:
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models. - Andrés Muñoz Medina, Umar Syed, Sergei Vassilvitskii, Ellen Vitercik:
Private Optimization Without Constraint Violations. - Keiichi Morikuni:
Projection method for partial eigenproblems of linear matrix pencils. - Tom Bewley:
Am I Building a White Box Agent or Interpreting a Black Box Agent? - André C. M. Ran, Michal Wojtylak:
Global properties of eigenvalues of parametric rank one perturbations for unstructured and structured matrices. - Avinash Madasu, Vijjini Anvesh Rao:
Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis. - Michael Feldmann, Kristian Hinnenthal, Christian Scheideler:
Fast Hybrid Network Algorithms for Shortest Paths in Sparse Graphs. - Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat:
Multiclass Classification with an Ensemble of Binary Classification Deep Networks. - Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat:
Reinforcement Learning Based Handwritten Digit Recognition with Two-State Q-Learning. - Mayalen Etcheverry, Clément Moulin-Frier, Pierre-Yves Oudeyer:
Hierarchically-Organized Latent Modules for Exploratory Search in Morphogenetic Systems. - Lukas Gianinazzi, Torsten Hoefler:
Parallel Planar Subgraph Isomorphism and Vertex Connectivity. - Caio Davi, Ulisses M. Braga-Neto:
A Semi-Supervised Generative Adversarial Network for Prediction of Genetic Disease Outcomes. - Corinna Hertweck, Carlos Castillo, Michael Mathioudakis:
Towards Data-Driven Affirmative Action Policies under Uncertainty. - Jibin Wu, Chenglin Xu, Daquan Zhou, Haizhou Li, Kay Chen Tan:
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks. - Congcong Zhang, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Shanzhen Lu:
Exponentially Weighted l_2 Regularization Strategy in Constructing Reinforced Second-order Fuzzy Rule-based Model. - Hennes Hajduk:
Monolithic convex limiting in discontinuous Galerkin discretizations of hyperbolic conservation laws. - Joon Son Chung, Jaesung Huh, Arsha Nagrani, Triantafyllos Afouras, Andrew Zisserman:
Spot the conversation: speaker diarisation in the wild. - Zhiang Chen, Sarah Bearman, J. Ramon Arrowsmith, Jnaneshwar Das:
Localization and Mapping of Sparse Geologic Features with Unpiloted Aircraft Systems. - Alim Ul Gias, Giuliano Casale:
COCOA: Cold Start Aware Capacity Planning for Function-as-a-Service Platforms. - Nathan Hunt, Nathan Fulton, Sara Magliacane, Nghia Hoang, Subhro Das, Armando Solar-Lezama:
Verifiably Safe Exploration for End-to-End Reinforcement Learning. - Matthew A. Bliss, Nicolò Michelusi:
Adaptive Scheduling and Trajectory Design for Power-Constrained Wireless UAV Relays. - Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau, Reihaneh Rabbany:
Laplacian Change Point Detection for Dynamic Graphs. - Zichang Liu, Zhaozhuo Xu, Alan Baonan Ji, Jonathan Li, Beidi Chen, Anshumali Shrivastava:
Climbing the WOL: Training for Cheaper Inference. - Kian Ahrabian, Daniel Tarlow, Hehuimin Cheng, Jin L. C. Guo:
Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs. - Bartosz Bednarczyk, Jakub Michaliszyn:
"Most of" leads to undecidability: Failure of adding frequencies to LTL. - Gustau Camps-Valls, Dino Sejdinovic, Jakob Runge, Markus Reichstein:
A Perspective on Gaussian Processes for Earth Observation. - Benjamin Zorn, Tom Conte, Keith Marzullo, Suresh Venkatasubramanian:
Evolving Methods for Evaluating and Disseminating Computing Research. - Juan I. Forcen, Miguel Pagola, Edurne Barrenechea, Humberto Bustince:
Learning ordered pooling weights in image classification. - Jaspreet Singh, Yahuza Bello, Ahmed Refaey, Amr Mohamed:
Five-Layers SDP-Based Hierarchical Security Paradigm for Multi-access Edge Computing. - Dimitrios I. Koutras, Athanasios Ch. Kapoutsis, Elias B. Kosmatopoulos:
Autonomous and cooperative design of the monitor positions for a team of UAVs to maximize the quantity and quality of detected objects. - Danny Hermelin, Leon Kellerhals, Rolf Niedermeier, Rami Pugatch:
Approximating Sparse Quadratic Programs. - Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis. - Hui Xie, Zhe Pan, Leixin Zhou, Fahim A. Zaman, Danny Ziyi Chen, Jost B. Jonas, Yaxing Wang, Xiaodong Wu:
Globally Optimal Segmentation of Mutually Interacting Surfaces using Deep Learning. - Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet:
S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams. - Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava:
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation. - Matthew Cook, Alina Zare, Paul D. Gader:
Outlier Detection through Null Space Analysis of Neural Networks. - Sven Linker, Fabio Papacchini, Michele Sevegnani:
Analysing Spatial Properties on Neighbourhood Spaces. - Villiam Bortolotti, Germana Landi, Fabiana Zama:
2DNMR data inversion using locally adapted multi-penalty regularization. - Sébastien Ehrhardt, Oliver Groth, Áron Monszpart, Martin Engelcke, Ingmar Posner, Niloy J. Mitra, Andrea Vedaldi:
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces. - Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Sadiq Hussain, Roohallah Alizadehsani, Parisa Moridian, Abbas Khosravi, Hossein Hosseini-Nejad, Modjtaba Rouhani, Assef Zare, Ali Khadem, Saeid Nahavandi, Amir F. Atiya, U. Rajendra Acharya:
Epileptic seizure detection using deep learning techniques: A Review. - Ao Li, Bojian Zheng, Gennady Pekhimenko, Fan Long:
Automatic Horizontal Fusion for GPU Kernels. - Joseph Benzaken, John A. Evans, Stephen F. McCormick, Rasmus Tamstorf:
Weak Boundary Condition Enforcement for Linear Kirchhoff-Love Shells: Formulation, Error Analysis, and Verification. - Nikhil Kumar:
Multicommodity Flows in Planar Graphs with Demands on Faces. - Gautier Izacard, Edouard Grave:
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. - Marjane Khodatars, Afshin Shoeibi, Navid Ghassemi, Mahboobeh Jafari, Ali Khadem, Delaram Sadeghi, Parisa Moridian, Sadiq Hussain, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Michael Berk:
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review. - David Mestel:
Robust ambiguity for contact tracing. - Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen:
Deep Single Image Manipulation. - Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing:
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning. - Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong:
A Closer Look at Local Aggregation Operators in Point Cloud Analysis. - Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat:
Image Classification by Reinforcement Learning with Two-State Q-Learning. - Renzhi Wang, Tianwei Zhang, Xiaofei Xie, Lei Ma, Cong Tian, Felix Juefei-Xu, Yang Liu:
Generating Adversarial Examples withControllable Non-transferability. - Michal Derezinski, Burak Bartan, Mert Pilanci, Michael W. Mahoney:
Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization. - Lixiu Wang, Qian Zhang, Jiguang Sun, Zhimin Zhang:
A priori and a posteriori error estimates for the quad-curl eigenvalue problem. - Umang Varma, Lalit Jain, Anna C. Gilbert:
Spectral Methods for Ranking with Scarce Data. - Hasan Unlu:
Efficient Neural Network Deployment for Microcontroller. - Jirí Navrátil, Matthew Arnold, Benjamin Elder:
Uncertainty Prediction for Deep Sequential Regression Using Meta Models. - (Withdrawn) Bayesian multilingual topic model for zero-shot cross-lingual topic identification.
- Abhinav Goel, Caleb Tung, Sarah Aghajanzadeh, Isha Ghodgaonkar, Shreya Ghosh, George K. Thiruvathukal, Yung-Hsiang Lu:
Low-Power Object Counting with Hierarchical Neural Networks. - Makai Mann, Amalee Wilson, Cesare Tinelli, Clark W. Barrett:
Smt-Switch: a solver-agnostic C++ API for SMT Solving. - Christen Ford:
LSTFCoDel: CoDel with LSTF-Style Priority Queuing. - Oliver Gebhard, Oliver Johnson, Philipp Loick, Maurice Rolvien:
Improved bounds for noisy group testing with constant tests per item. - Somdip Dey, Amit Kumar Singh, Xiaohang Wang, Klaus Dieter McDonald-Maier:
DATE: Defense Against TEmperature Side-Channel Attacks in DVFS Enabled MPSoCs. - Mariano Maisonnave, Fernando Delbianco, Fernando Tohmé, Ana Gabriela Maguitman, Evangelos E. Milios:
Improving Event Detection using Contextual Word and Sentence Embeddings. - C. P. Andriotis, K. G. Papakonstantinou:
Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints. - Renu Sharma, Arun Ross:
D-NetPAD: An Explainable and Interpretable Iris Presentation Attack Detector. - Srinivasan Iyengar, Stephen Lee, David E. Irwin, Prashant J. Shenoy, Benjamin Weil:
WattScale: A Data-driven Approach for Energy Efficiency Analytics of Buildings at Scale. - Jim Davis:
Posterior Model Adaptation With Updated Priors. - Emad Gad, Julio C. G. Pimentel:
An Algebraic Approach for the Stability Analysis of BLDC Motor Controllers. - Farshid Varno, Lucas May Petry, Lisa Di-Jorio, Stan Matwin:
Learn Faster and Forget Slower via Fast and Stable Task Adaptation. - Omer Waqar, Hina Tabassum, Raviraj Adve:
Secure Beamforming and Ergodic Secrecy Rate Analysis for Amplify-and-Forward Relay Networks with Wireless Powered Jammer. - Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma:
Scalable Comparative Visualization of Ensembles of Call Graphs. - Abhinav Venigalla, Atli Kosson, Vitaliy Chiley, Urs Köster:
Adaptive Braking for Mitigating Gradient Delay. - Chaoyang Song, Jianxi Luo, Katja Hölttä-Otto, Warren P. Seering, Kevin Otto:
Crowdfunding for Design Innovation: Prediction Model with Critical Factors. - Edgar Fajardo Hernandez, Marián Zvada, Derek Weitzel, Mats Rynge, John Hicks, Matyas Selmeci, Brian Lin, Pascal Paschos, Brian Bockelman, Igor Sfiligoi, Andrew Hanushevsky, Frank Würthwein:
Creating a content delivery network for general science on the internet backbone using XCaches. - Anna R. Karlin, Nathan Klein, Shayan Oveis Gharan:
A (Slightly) Improved Approximation Algorithm for Metric TSP. - Volodymyr L. Makarov, Nataliya V. Mayko:
Weighted estimates of the Cayley transform method for boundary value problems in a Banach space. - Hugo Carrillo, Emanuele Macca, Giovanni Russo, Carlos Parés, David Zorío:
An order-adaptive compact approximation Taylor method for systems of conservation laws. - Brian Okorn, Mengyun Xu, Martial Hebert, David Held:
Learning Orientation Distributions for Object Pose Estimation. - Yimeng Min:
Persistent Neurons. - Jie Bu, Mohannad Elhamod, Christopher Singh, Matthew Redell, Wei-Cheng Lee, Anuj Karpatne:
Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics. - M. Maruf, Anuj Karpatne:
Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach. - Paul Zhang, Daryl R. DeFord, Justin Solomon:
Medial Axis Isoperimetric Profiles. - Ruoyu Sun, Dawei Li, Shiyu Liang, Tian Ding, R. Srikant:
The Global Landscape of Neural Networks: An Overview. - Celso A. Weffort-Santos, Rafael C. S. Schouery:
Graphs without gap-vertex-labellings: families and bounds. - Ishaan Gulrajani, David Lopez-Paz:
In Search of Lost Domain Generalization. - Renate Sachse, Manfred Bischoff:
A variational formulation for motion design of adaptive compliant structures. - Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland:
Joint Frequency- and Image-Space Learning for Fourier Imaging. - Ronshee Chawla, Abishek Sankararaman, Sanjay Shakkottai:
Multi-Agent Low-Dimensional Linear Bandits. - Haotian Jiang:
Minimizing Convex Functions with Integral Minimizers. - Jinshan Xu, Zhenqin Chen, Yanpei Lu, Xi Yang, Alain Pumir:
Improved Preterm Prediction Based on Optimized Synthetic Sampling of EHG Signal. - John Kalung Leung, Igor Griva, William G. Kennedy:
Text-based Emotion Aware Recommender. - Jooyoung Moon, Jihyo Kim, Younghak Shin, Sangheum Hwang:
Confidence-Aware Learning for Deep Neural Networks. - Quan-Lin Li, Yan-Xia Chang, Xiaole Wu, Guoqing Zhang:
A New Theoretical Framework of Pyramid Markov Processes for Blockchain Selfish Mining. - Shaolin Liao, Lu Ou:
Rigorous Quantum Formulation of Parity-Time Symmetric Coupled Resonators. - Yanting Chen, Jingui Xie, Taozeng Zhu:
The prolonged service time at non-dedicated servers in a pooling system. - Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Cheng, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao:
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images. - Ghasem Pasandi, Mackenzie Peterson, Moisés Herrera, Shahin Nazarian, Massoud Pedram:
Deep-PowerX: A Deep Learning-Based Framework for Low-Power Approximate Logic Synthesis. - Meng Cao, Haozhi Huang, Hao Wang, Xuan Wang, Li Shen, Sheng Wang, Linchao Bao, Zhifeng Li, Jiebo Luo:
Task-agnostic Temporally Consistent Facial Video Editing. - Zhanjing Tao, Juntao Huang, Yuan Liu, Wei Guo, Yingda Cheng:
An adaptive multiresolution ultra-weak discontinuous Galerkin method for nonlinear Schrodinger equations. - Zhihui Shao, Jianyi Yang, Shaolei Ren:
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring. - Xinjing Cheng, Peng Wang, Yanqi Zhou, Chenye Guan, Ruigang Yang:
ODE-CNN: Omnidirectional Depth Extension Networks. - Shipeng Fu, Zhen Li, Jun Xu, Ming-Ming Cheng, Gwanggil Jeon, Xiaomin Yang:
Interactive Knowledge Distillation. - Chih-Hsing Ho, Shang-Ho Tsai:
RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous Learning. - Mark J. Kilgard:
Ordinary Facet Angles of a Stroked Path Tessellated by Uniform Tangent Angle Steps Are Bounded by Twice the Step Angle. - Jiarong Lin, Xiyuan Liu, Fu Zhang:
A decentralized framework for simultaneous calibration, localization and mapping with multiple LiDARs. - Shibo Shen, Rongpeng Li, Zhifeng Zhao, Honggang Zhang, Yugeng Zhou:
Learning to Prune in Training via Dynamic Channel Propagation. - Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation. - Chong Yu, Jeff Pool:
Self-Supervised GAN Compression. - Arthur Choi, Andy Shih, Anchal Goyanka, Adnan Darwiche:
On Symbolically Encoding the Behavior of Random Forests. - Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu:
Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations. - Yuqian Jiang, Sudarshanan Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone:
Temporal-Logic-Based Reward Shaping for Continuing Learning Tasks. - Qing Li, Siyuan Huang, Yining Hong, Song-Chun Zhu:
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering. - Sapir Kaplan, Raja Giryes:
Self-supervised Neural Architecture Search. - Alejandro Mera, Bo Feng, Long Lu, Engin Kirda, William K. Robertson:
DICE: Automatic Emulation of DMA Input Channels for Dynamic Firmware Analysis. - Yarema Boryshchak:
Mathematical Perspective of Machine Learning. - Mengxi Jia, Yunpeng Zhai, Shijian Lu, Siwei Ma, Jian Zhang:
A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification. - Yuting Liang, Reza Samavi:
Towards Robust Deep Learning with Ensemble Networks and Noisy Layers. - Yusi Zhang, Chuanjie Liu, Angen Luo, Hui Xue, Xuan Shan, Yuxiang Luo, Yiqian Xia, Yuanchi Yan, Haidong Wang:
MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks. - Jiayu Zhang, Min Li, Shihao Yan, Chunshan Liu, Xihan Chen, Min-Jian Zhao, Philip Whiting:
Joint Beam Training and Data Transmission Design for Covert Millimeter-Wave Communication. - Shinya Matsubara, Akihiko Honda, Yonghoon Ji, Kazunori Umeda:
Three-dimensional Human Tracking of a Mobile Robot by Fusion of Tracking Results of Two Cameras. - Deepak Sharma, Audrey Durand, Marc-André Legault, Louis-Philippe Lemieux Perreault, Audrey Lemaçon, Marie-Pierre Dubé, Joelle Pineau:
Deep interpretability for GWAS. - Jianxiong Guo, Yapu Zhang, Weili Wu:
Overall Evaluations on Benefits of Influence When Disturbed by Rivals. - Alexander L. Mitchell, Martin Engelcke, Oiwi Parker Jones, David Surovik, Ioannis Havoutis, Ingmar Posner:
First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion. - Yasmeen M. George, Suman Sedai, Bhavna Josephine Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi:
Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes. - Youngeun Kim, Sungeun Hong, Donghyeon Cho, Hyoungseob Park, Priyadarshini Panda:
Domain Adaptation without Source Data. - Hai Wang, David McAllester:
On-The-Fly Information Retrieval Augmentation for Language Models. - Stefan Mach, Fabian Schuiki, Florian Zaruba, Luca Benini:
FPnew: An Open-Source Multi-Format Floating-Point Unit Architecture for Energy-Proportional Transprecision Computing. - Francesco Bonchi, David García-Soriano, Atsushi Miyauchi, Charalampos E. Tsourakakis:
Finding Densest k-Connected Subgraphs. - Binbin Liao, Guangxing Zhang, Qinghua Wu, Zhenyu Li, Gaogang Xie:
Cross-layer Path Selection in Multi-path Transport Protocol for Mobile Devices. - Helmut Harbrecht, Michael D. Multerer:
A fast direct solver for nonlocal operators in wavelet coordinates. - Jeppe Theiss Kristensen, Paolo Burelli:
Strategies for Using Proximal Policy Optimization in Mobile Puzzle Games. - Adam Bignold, Francisco Cruz, Matthew E. Taylor, Tim Brys, Richard Dazeley, Peter Vamplew, Cameron Foale:
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review. - Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian:
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification. - Robin M. Schmidt, Frank Schneider, Philipp Hennig:
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers. - Ammar Mansoor Kamoona, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar, Reza Hoseinnezhad:
Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-Decoding. - Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Xiangbo Su, Yuchen Yuan, Hongwu Zhang, Shilei Wen, Errui Ding, Liusheng Huang:
PointTrack++ for Effective Online Multi-Object Tracking and Segmentation. - Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Huan Huang, Shilei Wen, Errui Ding, Liusheng Huang:
Segment as Points for Efficient Online Multi-Object Tracking and Segmentation. - Carlos Segarra, Ricard Delgado-Gonzalo, Valerio Schiavoni:
MQT-TZ: Secure MQTT Broker for Biomedical Signal Processing on the Edge. - Bin Wang, Bing Xue, Mengjie Zhang:
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification. - Alistair Stewart, Eleftherios Kokoris-Kogia:
GRANDPA: a Byzantine Finality Gadget. - Matthias Forstmann, Alberto Giaretta, Jennifer Renoux:
Users' Concern for Privacy in Context-Aware Reasoning Systems. - Shuai Yu, Xu Chen, Shuai Wang, Lingjun Pu, Di Wu:
An Edge Computing-based Photo Crowdsourcing Framework for Real-time 3D Reconstruction. - Jiankang Shi, Minghua Chen:
Correction of BDFk for fractional Feynman-Kac equation with Lévy flight. - Yikun Li, Mohamed Soliman, Paris Avgeriou:
Identification and Remediation of Self-Admitted Technical Debt in Issue Trackers. - Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann:
Scaling Graph Neural Networks with Approximate PageRank. - Zhenwei He, Lei Zhang:
Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN. - Sören Dittmer, Carola-Bibiane Schönlieb, Peter Maass:
Ground Truth Free Denoising by Optimal Transport. - Amnon Geifman, Abhay Kumar Yadav, Yoni Kasten, Meirav Galun, David W. Jacobs, Ronen Basri:
On the Similarity between the Laplace and Neural Tangent Kernels. - Dashan Gao, Ben Tan, Ce Ju, Vincent W. Zheng, Qiang Yang:
Privacy Threats Against Federated Matrix Factorization. - Ganqu Cui, Jie Zhou, Cheng Yang, Zhiyuan Liu:
Adaptive Graph Encoder for Attributed Graph Embedding. - Dávid Rozenberszki, Andras Majdik:
LOL: Lidar-Only Odometry and Localization in 3D Point Cloud Maps. - Jean Christoph Jung, Frank Wolter:
Living without Beth and Craig: Explicit Definitions and Interpolants in the Guarded Fragment. - Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang, Tongliang Liu:
Weakly Supervised Temporal Action Localization with Segment-Level Labels. - Joris Mollinga, Herke van Hoof:
An Autonomous Free Airspace En-route Controller using Deep Reinforcement Learning Techniques. - Alexandre Poulain:
Scalar auxiliary variable finite element scheme for the parabolic-parabolic Keller-Segel model. - Ricky Lamberty, Alexander Poddey:
Regulation conform DLT-operable payment adapter based on trustless - justified trust combined generalized state channels. - Jean Christoph Jung, Carsten Lutz, Hadrien Pulcini, Frank Wolter:
Logical Separability of Incomplete Data under Ontologies. - Gergely Neu, Julia Olkhovskaya:
Online learning in MDPs with linear function approximation and bandit feedback. - Feifei Huang, Jie Li, Xuelin Zhu:
Balanced Symmetric Cross Entropy for Large Scale Imbalanced and Noisy Data. - Immanuel Bayer, Anastasios Zouzias:
Team voyTECH: User Activity Modeling with Boosting Trees. - Loris Cannelli, Giuseppe Nuti, Marzio Sala, Oleg Szehr:
Hedging using reinforcement learning: Contextual k-Armed Bandit versus Q-learning. - Jefferson Antonio Ribeiro Passerini, Fabricio Aparecido Breve:
Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach. - Marine Le Morvan, Julie Josse, Thomas Moreau, Erwan Scornet, Gaël Varoquaux:
Neumann networks: differential programming for supervised learning with missing values. - Daniel Preuß, Tino Weinkauf, Jens H. Krüger:
A Discrete Probabilistic Approach to Dense Flow Visualization. - Christina Maria Mayr, Gerta Köster:
Social distancing with the Optimal Steps Model. - Léo Henry, Nicolas Markey, Thierry Jéron:
Active learning of timed automata with unobservable resets. - Martin Stetter, Elmar Wolfgang Lang:
Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps. - Rashmi S. Agrawal, Lake Bu, Alan Ehret, Michel A. Kinsy:
Fast Arithmetic Hardware Library For RLWE-Based Homomorphic Encryption. - Hüseyin Alpaslan Yildiz, Leyla Gören Sümer:
Stabilizing of a Class of Underactuated Euler Lagrange System Using an Approximate Model. - Heng-Da Xu, Xian-Ling Mao, Zewen Chi, Jing-Jing Zhu, Fanshu Sun, Heyan Huang:
Generating Informative Dialogue Responses with Keywords-Guided Networks. - Randhir Singh:
Analytic solution of system of singular nonlinear differential equations with Neumann-Robin boundary conditions arising in astrophysics. - Martin Malmsten, Love Börjeson, Chris Haffenden:
Playing with Words at the National Library of Sweden - Making a Swedish BERT. - Christopher Blöcker, Martin Rosvall:
Mapping Flows in Bipartite Networks. - Katerina Macková, Milan Straka:
Reading Comprehension in Czech via Machine Translation and Cross-lingual Transfer. - Yuya Yoshikawa, Tomoharu Iwata:
Gaussian Process Regression with Local Explanation. - Youssef Dawoud, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis:
Few-Shot Microscopy Image Cell Segmentation. - Valentin Bartier, Nicolas Bousquet, Clément Dallard, Kyle Lomer, Amer E. Mouawad:
On girth and the parameterized complexity of token sliding and token jumping. - Dongyan Guo, Miao Tian, Ying Cui, Xiang Pan, Shengyong Chen:
Improving auto-encoder novelty detection using channel attention and entropy minimization. - Elena Arseneva, John Iacono, Grigorios Koumoutsos, Stefan Langerman, Boris Zolotov:
Sublinear Explicit Incremental Planar Voronoi Diagrams. - Tristan Allard, Louis Béziaud, Sébastien Gambs:
Online publication of court records: circumventing the privacy-transparency trade-off. - Chunhui Zhou, Shangding Gu, Yuanqiao Wen, Zhe Du, Changshi Xiao, Liang Huang, Man Zhu:
The Review Unmanned Surface Vehicle Path Planning: Based on Multi-modality Constraint. - Jinhua Liang, Tao Zhang, Guoqing Feng:
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture. - Ali Baheri:
Safe Reinforcement Learning with Mixture Density Network: A Case Study in Autonomous Highway Driving. - Daniel J. Gonzalez, H. Harry Asada:
Passive Quadrupedal Gait Synchronization for Extra Robotic Legs Using a Dynamically Coupled Double Rimless Wheel Model. - Daniel J. Gonzalez, H. Harry Asada:
Hybrid Open-Loop Closed-Loop Control of Coupled Human-Robot Balance During Assisted Stance Transition with Extra Robotic Legs. - Yichao Liu, Riccardo M. G. Ferrari, Ping Wu, Xiaoli Jiang, Sunwei Li, Jan-Willem van Wingerden:
Fault Diagnosis of the 10MW Floating Offshore Wind Turbine Benchmark: a Mixed Model and Signal-based Approach. - Ioana Leustean, Natalia Moanga, Traian-Florin Serbanuta:
Many-Sorted Hybrid Modal Languages. - Yue Wang, Yuke Li, James H. Elder, Huchuan Lu, Runmin Wu:
Synergistic saliency and depth prediction for RGB-D saliency detection. - Bruno Costa, Paulo F. Pires, Flávia Coimbra Delicato:
Towards the Adoption of OMG Standards in the Development of SOA-Based IoT Systems. - Halcyon Davys Pereira De Carvalho, Marília Nayara Clemente de Almeida Lima, Wylliams Barbosa Santos, Roberta A. de A. Fagunde:
Ensemble Regression Models for Software Development Effort Estimation: A Comparative Study. - Hsiao-Ying Huang, Soteris Demetriou, Rini Banerjee, Güliz Seray Tuncay, Carl A. Gunter, Masooda N. Bashir:
Smartphone Security Behavioral Scale: A New Psychometric Measurement for Smartphone Security. - Hu Fu, Tao Lin:
Learning Utilities and Equilibria in Non-Truthful Auctions. - Paritosh Mittal, Shankar M. Venkatesan, Viswanath Veera, Aloknath De:
Deep Fence Estimation using Stereo Guidance and Adversarial Learning. - Gianluca Curzi, Luca Roversi:
Probabilistic Soft Type Assignment. - Thi-Thao-Phuong Hoang, Hyesuk Lee:
A global-in-time domain decomposition method for the coupled nonlinear Stokes and Darcy flows. - Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell:
Video Prediction via Example Guidance. - Bilge Yigit Ozkan, Marco Spruit:
Assessing and Improving Cybersecurity Maturity for SMEs: Standardization aspects. - Elena Arseneva, Stefan Langerman, Boris Zolotov:
A Complete List of All Convex Polyhedra Made by Gluing Regular Pentagons. - Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien, Alexandre Drouin:
Differentiable Causal Discovery from Interventional Data. - Bin-Bin Gao, Hong-Yu Zhou:
Multi-Label Image Recognition with Multi-Class Attentional Regions. - Shanyan Guan, Ying Tai, Bingbing Ni, Feida Zhu, Feiyue Huang, Xiaokang Yang:
Collaborative Learning for Faster StyleGAN Embedding. - Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller:
Explainable Deep One-Class Classification. - Colin M. Werner, Ze Shi Li, Neil A. Ernst, Daniela E. Damian:
The Lack of Shared Understanding of Non-Functional Requirements in Continuous Software Engineering: Accidental or Essential? - Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua:
Disentangled Graph Collaborative Filtering. - Thomas Eboli, Jian Sun, Jean Ponce:
End-to-end Interpretable Learning of Non-blind Image Deblurring. - Bin-Bin Gao, Xinxin Liu, Hong-Yu Zhou, Jianxin Wu, Xin Geng:
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation. - Rupak Majumdar, Anne-Kathrin Schmuck:
Supervisory Controller Synthesis for Non-terminating Processes is an Obliging Game. - Dat Hong, Stephen S. Baek, Tong Wang:
Interpretable Sequence Classification Via Prototype Trajectory. - Caterina Viola, Stanislav Zivný:
The combined basic LP and affine IP relaxation for promise VCSPs on infinite domains. - Amelia Elizabeth Pollard, Jonathan L. Shapiro:
Visual Question Answering as a Multi-Task Problem. - Swaroop Bhandary K, Nico Hochgeschwender, Paul Plöger, Frank Kirchner, Matias Valdenegro-Toro:
Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds. - Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, William Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur:
TICO-19: the Translation Initiative for Covid-19. - Xiaowei Chu, Jeff LeFevre, Aldrin Montana, Dana Robinson, Quincey Koziol, Peter Alvaro, Carlos Maltzahn:
Mapping Datasets to Object Storage System. - Anis Elgabli, Jihong Park, Chaouki Ben Issaid, Mehdi Bennis:
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning. - Wen Guan, Tadashi Maeno, Gancho Dimitrov, Brian Paul Bockelman, Torre J. Wenaus, Vakhtang Tsulaia, Nicolò Magini:
Towards an Intelligent Data Delivery Service. - Yihao Fang, Shervin Manzuri Shalmani, Rong Zheng:
CacheNet: A Model Caching Framework for Deep Learning Inference on the Edge. - Martin Lackner, Piotr Skowron:
Approval-Based Committee Voting: Axioms, Algorithms, and Applications. - Maximilian Schäfer, Wayan Wicke, Lukas Brand, Rudolf Rabenstein, Robert Schober:
Transfer Function Models for Cylindrical MC Channels with Diffusion and Laminar Flow. - Jingxuan Tu, Marc Verhagen, Brent Cochran, James Pustejovsky:
Exploration and Discovery of the COVID-19 Literature through Semantic Visualization. - Alina Matei, Andreea Glavan, Estefanía Talavera:
Deep learning for scene recognition from visual data: a survey. - Hao Wang, Hao He, Dina Katabi:
Continuously Indexed Domain Adaptation. - Tamas Foldi, Chris von Csefalvay, Nicolas A. Perez:
JAMPI: efficient matrix multiplication in Spark using Barrier Execution Mode. - Tong Qin, Tongqing Chen, Yilun Chen, Qing Su:
AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking Lot. - Soheil Sadeghi Eshkevari, Martin Takác, Shamim N. Pakzad, Majid Jahani:
DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction. - Emily Clement, Thierry Jéron, Nicolas Markey, David Mentré:
Computing maximally-permissive strategies in acyclic timed automata. - Shih Yu Chang:
Sherman-Morrison-Woodbury Identity for Tensors. - Quang Truong, Hy Dang, Zhankai Ye, Minh Nguyen, Bo Mei:
Image-based Vehicle Re-identification Model with Adaptive Attention Modules and Metadata Re-ranking. - Swapnil Nitin Shah:
Addressing the interpretability problem for deep learning using many valued quantum logic. - Arash Fouman Ajirlou, Inna Partin-Vaisband:
A Machine Learning Pipeline Stage for Adaptive Frequency Adjustment. - B. G. Mukanova, M. A. Akhmetzhanov, D. N. Azimova:
Regularization of the movement of a material point along a flat trajectory: application to robotics problems. - Young-Sam Kwon, Antonín Novotný:
Construction of weak solutions to compressible Navier-Stokes equations with general inflow/outflow boundary conditions via a numerical approximation. - Michael Soltys, Katharine Soltys:
WordPress on AWS: a Communication Framework. - Georg Gottlob, Matthias Lanzinger, Reinhard Pichler, Igor Razgon:
Fractional Covers of Hypergraphs with Bounded Multi-Intersection. - Prakash Rajan, Krishna P. Miyapuram:
PsychFM: Predicting your next gamble. - Issam H. Laradji, Rafael Pardinas, Pau Rodríguez, David Vázquez:
LOOC: Localize Overlapping Objects with Count Supervision. - Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, André Barreto, Diana Borsa:
Expected Eligibility Traces. - Dhiraj Gandhi, Abhinav Gupta, Lerrel Pinto:
Swoosh! Rattle! Thump! - Actions that Sound. - Fangxiaoyu Feng, Yinfei Yang, Daniel Cer, Naveen Arivazhagan, Wei Wang:
Language-agnostic BERT Sentence Embedding. - Ehsan Kazemi, Thomas Kerdreux, Liqiang Wang:
Trace-Norm Adversarial Examples. - Muriel Mazzetto, Marcelo Teixeira, Érick Oliveira Rodrigues, Dalcimar Casanova:
Deep Learning Models for Visual Inspection on Automotive Assembling Line. - Mamoru Doi:
Improved flat-back 3D gadgets in origami extrusions completely downward compatible with the conventional pyramid-supported 3D gadgets. - M. Shazmin Marikar, H. M. N. Dilum Bandara:
An Analysis of Data Driven, Decision-Making Capabilities of Managers in Banks. - Di Yuan, Xiaojun Chang, Zhenyu He:
Accurate Bounding-box Regression with Distance-IoU Loss for Visual Tracking. - Wenxin Liu, David Caruso, Eddy Ilg, Jing Dong, Anastasios I. Mourikis, Kostas Daniilidis, Vijay Kumar, Jakob Engel:
TLIO: Tight Learned Inertial Odometry. - Juan-Manuel Pérez-Rúa, Antoine Toisoul, Brais Martínez, Victor Escorcia, Li Zhang, Xiatian Zhu, Tao Xiang:
Egocentric Action Recognition by Video Attention and Temporal Context. - Gergely Neu, Ciara Pike-Burke:
A Unifying View of Optimism in Episodic Reinforcement Learning. - Raed Jaberi:
b-articulation points and b-bridges in strongly biconnected directed graphs. - Negin Sokhandan, Pegah Kamousi, Alejandro Posada, Eniola Alese, Negar Rostamzadeh:
A Few-Shot Sequential Approach for Object Counting. - Hans Dermot Doran, Monika Reif:
Examining Redundancy in the Context of Safe Machine Learning. - Christopher K. I. Williams:
The Effect of Class Imbalance on Precision-Recall Curves. - Sirin Haddad, Siew Kei Lam:
Graph2Kernel Grid-LSTM: A Multi-Cued Model for Pedestrian Trajectory Prediction by Learning Adaptive Neighborhoods. - Roger Barrull, Jugal Kalita:
Abstractive and mixed summarization for long-single documents. - Gonçalo M. Correia, Vlad Niculae, Wilker Aziz, André F. T. Martins:
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity. - Ruisen Liu, Manisha Natarajan, Matthew Craig Gombolay:
Human-Robot Team Coordination with Dynamic and Latent Human Task Proficiencies: Scheduling with Learning Curves. - Fahad Sarfraz, Elahe Arani, Bahram Zonooz:
Knowledge Distillation Beyond Model Compression. - Yaofeng Desmond Zhong, Naomi Ehrich Leonard:
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control. - Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman:
A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces. - Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman:
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data. - Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman:
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism. - Yufei Wang, Tianwei Ni:
Meta-SAC: Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient. - Tristan Konolige, Jed Brown:
Multigrid for Bundle Adjustment. - Charles Lorenzini, Luís Fernando Alves Pereira, Alexandre Sanfelice Bazanella, Gustavo R. Gonçalves da Silva:
A model-free tuning method for proportional-multi-resonant controllers. - Tomas Martin, Guy Francoeur, Petko Valtchev:
CICLAD: A Fast and Memory-efficient Closed Itemset Miner for Streams. - Guolei Sun, Wenguan Wang, Jifeng Dai, Luc Van Gool:
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation. - Chrysostomos Chatzigeorgiou, Dimitrios Garyfallou, George Floros, Nestor E. Evmorfopoulos, George I. Stamoulis:
Exploiting Extended Krylov Subspace for the Reduction of Regular and Singular Circuit Models. - Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu:
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation. - Ali H. Majeed, Esam Alkaldy, Mohd Shamian Zainal, Danial Md. Nor:
Novel Memory Structures in QCA Nano Technology. - Maria Khvalchik, Mikhail Galkin:
El Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC Tasks. - Subodh Mishra, Philip R. Osteen, Gaurav Pandey, Srikanth Saripalli:
Experimental Evaluation of 3D-LIDAR Camera Extrinsic Calibration. - Cristian Cortés, Hamed Valizadeh Haghi, Changfu Li, Jan Kleissl:
Dynamic Weight-Based Collaborative Optimization for Power Grid Voltage Regulation. - Cyrus Neary, Zhe Xu, Bo Wu, Ufuk Topcu:
Reward Machines for Cooperative Multi-Agent Reinforcement Learning. - Ramin Moradi, Katrina M. Groth:
On the application of transfer learning in prognostics and health management. - José A. Carrillo, Li Wang, Wuzhe Xu, Ming Yan:
Variational Asymptotic Preserving Scheme for the Vlasov-Poisson-Fokker-Planck System. - Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen:
Structure-Aware Human-Action Generation. - Nitakshi Sood, Osmar R. Zaïane:
Building a Competitive Associative Classifier. - Besat Kassaie, Frank Wm. Tompa:
Detecting Opportunities for Differential Maintenance of Extracted Views. - Guillaume Baudart, Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar:
Lale: Consistent Automated Machine Learning. - Yingjie Hu:
Building benchmarking frameworks for supporting replicability and reproducibility: spatial and textual analysis as an example. - Yufei Ruan, Jiaqi Yang, Yuan Zhou:
Linear Bandits with Limited Adaptivity and Learning Distributional Optimal Design. - Qi Liu, Shihua Yuan, Zirui Li:
A Survey on Sensor Technologies for Unmanned Ground Vehicles. - Hang Lai, Jian Shen, Weinan Zhang, Yong Yu:
Bidirectional Model-based Policy Optimization. - Tess E. Smidt, Mario Geiger, Benjamin Kurt Miller:
Finding Symmetry Breaking Order Parameters with Euclidean Neural Networks. - Nozomi Hata, Shizuo Kaji, Akihiro Yoshida, Katsuki Fujisawa:
Nested Subspace Arrangement for Representation of Relational Data. - Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao:
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths. - Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe:
PPaaS: Privacy Preservation as a Service. - Prageeth Jayathissa, Matias Quintana, Mahmoud Abdelrahman, Clayton Miller:
Humans-as-a-sensor for buildings: Intensive longitudinal indoor comfort models. - Linjie Yang, Qing Jin:
FracBits: Mixed Precision Quantization via Fractional Bit-Widths. - Phanindra Palagummi, Krishna M. Sivalingam:
Design and Implementation of SMARTHO - A Network Initiated Handover mechanism in NG-RAN, on P4-based Xilinx NetFPGA switches. - Max Burian, Christian Meisenbichler, Denys Naumenko, Heinz Amenitsch:
SAXSDOG: open software for real-time azimuthal integration of 2D scattering images. - (Withdrawn) Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation.
- Monica Sunkara, Srikanth Ronanki, Kalpit Dixit, Sravan Bodapati, Katrin Kirchhoff:
Robust Prediction of Punctuation and Truecasing for Medical ASR. - Farzan Shenavarmasouleh, Hamid R. Arabnia:
DRDr: Automatic Masking of Exudates and Microaneurysms Caused By Diabetic Retinopathy Using Mask R-CNN and Transfer Learning. - Mehdi Regina, Maxime Meyer, Sébastien Goutal:
Text Data Augmentation: Towards better detection of spear-phishing emails. - Quande Liu, Qi Dou, Pheng-Ann Heng:
Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains. - Junyeong Kim, Minuk Ma, Trung X. Pham, Kyungsu Kim, Chang D. Yoo:
Modality Shifting Attention Network for Multi-modal Video Question Answering. - Saurav Sahay, Eda Okur, Shachi H. Kumar, Lama Nachman:
Low Rank Fusion based Transformers for Multimodal Sequences. - Ron Amit, Ron Meir, Kamil Ciosek:
Discount Factor as a Regularizer in Reinforcement Learning. - Pengyu Zhang, Jie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang:
Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking. - Chaobing Zheng, Zhengguo Li, Yi Yang, Shiqian Wu:
Single Image Brightening via Multi-Scale Exposure Fusion with Hybrid Learning. - R. Praveen Jain, A. Pedro Aguiar, João Borges de Sousa:
Three Dimensional Moving Path Following Control for Robotic Vehicles with Minimum Positive Forward Speed. - Rui Gong, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Self-Calibration Supported Robust Projective Structure-from-Motion. - Zijian Jiang, Jianwen Zhou, Haiping Huang:
Relationship between manifold smoothness and adversarial vulnerability in deep learning with local errors. - Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets. - Jianfeng Zhang, Xuecheng Nie, Jiashi Feng:
Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation. - Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor:
RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network. - Xuesong Li, José E. Guivant:
Efficient and accurate object detection with simultaneous classification and tracking. - Yun Li, Weiqun Wu, Zechun Liu, Chi Zhang, Xiangyu Zhang, Haotian Yao, Baoqun Yin:
Weight-dependent Gates for Network Pruning. - Andrea Cherubini, David Navarro-Alarcon:
Sensor-Based Control for Collaborative Robots: Fundamentals, Challenges and Opportunities. - Ziyu Lin, Jingliang Duan, Shengbo Eben Li, Haitong Ma, Yuming Yin:
Continuous-time finite-horizon ADP for automated vehicle controller design with high efficiency. - Pranay Gupta, Anirudh Thatipelli, Aditya Aggarwal, Shubh Maheshwari, Neel Trivedi, Sourav Das, Ravi Kiran Sarvadevabhatla:
Quo Vadis, Skeleton Action Recognition ? - Tianshu Yang, Ye Guo, Lirong Deng, Hongbin Sun, WenChuan Wu:
A Linear Branch Flow Model for Radial Distribution Networks and its Application to Reactive Power Optimization and Network Reconfiguration. - Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition. - Amir Hossein Sayyad Abdi, Mohsen Sharifi:
Avoiding Register Overflow in the Bakery Algorithm. - George C. Bourantas, D. L. Lampropoulos, Benjamin F. Zwick, Vassilios C. Loukopoulos, Adam Wittek, Karol Miller:
Immersed boundary finite element method for blood flow simulation. - Gabriela Purri R. Gomes, Sydney Rubin, Leah I. Stein Duker, Donna Benton, Andreas Kratky, Sze Yu A. Chen, Maryalice Jordan-Marsh, Marientina Gotsis:
Healing Spaces: Feasibility of a Multisensory Experience for Older Adults with Advanced Dementia and their Caregivers. - Mikko Lauri, Joni Pajarinen, Jan Peters, Simone Frintrop:
Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization. - Zhuoyue Xiao, Yutao Zhang, Bo Chen, Xiaozhao Liu, Jie Tang:
A framework for constructing a huge name disambiguation dataset: algorithms, visualization and human collaboration. - Huayi Wei, Xuehai Huang, Ao Li:
Piecewise Divergence-Free H(div)-Nonconforming Virtual Elements for Stokes Problem in Any Dimensions. - Deepak Edakkattil Gopinath, Mahdieh Nejati Javaremi, Brenna D. Argall:
Customized Handling of Unintended Interface Operation in Assistive Robots. - Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin:
Neural Interactive Collaborative Filtering. - Jianan Li, Jiashi Feng:
Local Grid Rendering Networks for 3D Object Detection in Point Clouds. - Alberto Cetoli:
Pynsett: A programmable relation extractor. - Odysseas Kechagias-Stamatis:
Automatic Target Recognition on Synthetic Aperture Radar Imagery: A Survey. - Yang Li, Tianwei Zhang, Yoshihiko Nakamura, Tatsuya Harada:
SplitFusion: Simultaneous Tracking and Mapping for Non-Rigid Scenes. - Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Alex Yakovlev, Adrian Wheeldon, Jie Lei, Morten Goodwin:
A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. - Ningcheng Li, Guy Maresh, Maxwell Cretcher, Khashayar Farsad, Ramsey Al-Hakim, John Kaufman, Judy Gichoya:
A Modern Non-SQL Approach to Radiology-Centric Search Engine Design with Clinical Validation. - Hengguan Huang, Fuzhao Xue, Hao Wang, Ye Wang:
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition. - Arman Maesumi:
Playing Chess with Limited Look Ahead. - Paola Ardón, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan:
Self-Assessment of Grasp Affordance Transfer. - Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li:
Simple and Deep Graph Convolutional Networks. - Indika Kumara, Zoe Vasileiou, Georgios Meditskos, Damian A. Tamburri, Willem-Jan van den Heuvel, Anastasios Karakostas, Stefanos Vrochidis, Ioannis Kompatsiaris:
Towards Semantic Detection of Smells in Cloud Infrastructure Code. - Kenshi Abe, Yusuke Kaneko:
Off-Policy Exploitability-Evaluation and Equilibrium-Learning in Two-Player Zero-Sum Markov Games. - Antony Samuels, John Mcgonical:
Sentiment Analysis on Social Media Content. - Marc Masana, Bartlomiej Twardowski, Joost van de Weijer:
On Class Orderings for Incremental Learning. - Piyush Yadav, Dipto Sarkar, Shailesh Deshpande, Edward Curry:
Human Assisted Artificial Intelligence Based Technique to Create Natural Features for OpenStreetMap. - Junyu Zhang, Alec Koppel, Amrit Singh Bedi, Csaba Szepesvári, Mengdi Wang:
Variational Policy Gradient Method for Reinforcement Learning with General Utilities. - Zitong Yu, Xiaobai Li, Xuesong Niu, Jingang Shi, Guoying Zhao:
Face Anti-Spoofing with Human Material Perception. - Bakri Awaji, Ellis Solaiman, Lindsay F. Marshall:
Blockchain-Based Trusted Achievement Record System Design. - Bakri Awaji, Ellis Solaiman, Lindsay F. Marshall:
Investigating the Requirements for Building a Blockchain- Based Achievement Record System. - Mohsin Ur Rahman:
Scalable Role-based Access Control Using The EOS Blockchain. - Yigeng Zhang, Fan Yang, Yifan Zhang, Eduard C. Dragut, Arjun Mukherjee:
Birds of a Feather Flock Together: Satirical News Detection via Language Model Differentiation. - Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Scalable Differentiable Physics for Learning and Control. - Gunjan Aggarwal, Devi Parikh:
Neuro-Symbolic Generative Art: A Preliminary Study. - Jeonghun J. Lee:
A mixed method for time-transient acoustic wave propagation in metamaterials. - Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
BézierSketch: A generative model for scalable vector sketches. - Emre Ozfatura, Sennur Ulukus, Deniz Gündüz:
Coded Distributed Computing with Partial Recovery. - Chaima Abid, Vahid Alizadeh, Marouane Kessentini, Thiago do Nascimento Ferreira, Danny Dig:
30 Years of Software Refactoring Research: A Systematic Literature Review. - Jaya Krishna Mandivarapu, Blake Camp, Rolando Estrada:
Deep Active Learning via Open Set Recognition. - Yun Zhao, Richard M. Jiang, Zhenni Xu, Elmer Guzman, Paul K. Hansma, Linda R. Petzold:
Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings. - Kaylea Champion:
Characterizing Online Vandalism: A Rational Choice Perspective. - Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches. - A. Feder Cooper, Karen Levy, Christopher De Sa:
Regulating Accuracy-Efficiency Trade-Offs in Distributed Machine Learning Systems. - Ishat E. Rabban, Pratap Tokekar:
Improved Resilient Coverage Maximization with Multiple Robots. - Yiwen Guo, Long Chen, Yurong Chen, Changshui Zhang:
On Connections between Regularizations for Improving DNN Robustness. - Shihao Song, Anup Das:
A Case for Lifetime Reliability-Aware Neuromorphic Computing. - Chenhui Lin, Wenchuan Wu:
A Nested Decomposition Method and Its Application for Coordinated Operation of Hierarchical Electrical Power Grids. - Yongqian Xiao, Xinglong Zhang, Xin Xu, Xueqing Liu, Jiahang Liu:
A deep learning framework based on Koopman operator for data-driven modeling of vehicle dynamics. - Roei Schuster, Congzheng Song, Eran Tromer, Vitaly Shmatikov:
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion. - Jialin Hong, Chuying Huang:
Super-convergence analysis on exponential integrator for stochastic heat equation driven by additive fractional Brownian motion. - Yi Li, Kevin Gao, Yitao Duan, Wei Xu:
Octopus: Privacy-Preserving Collaborative Evaluation of Loan Stacking. - Yu-Ting Chou, Gang Niu, Hsuan-Tien Lin, Masashi Sugiyama:
Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels. - Antony Samuels, John Mcgonical:
Sentiment Analysis on Customer Responses. - Antony Samuels, John Mcgonical:
News Sentiment Analysis. - Pritha Ganguly, Nitesh Methani, Mitesh M. Khapra, Pratyush Kumar:
A Systematic Evaluation of Object Detection Networks for Scientific Plots. - Wo-Tak Wu:
A Ring Router Microarchitecture for NoCs. - A. B. Siddique, Samet Oymak, Vagelis Hristidis:
Unsupervised Paraphrasing via Deep Reinforcement Learning. - Hao Xu, Ka-Hei Hui, Chi-Wing Fu, Hao Zhang:
Computational LEGO Technic Design. - Anik Khan, Kishor Datta Gupta, Deepak Venugopal, Nirman Kumar:
CIDMP: Completely Interpretable Detection of Malaria Parasite in Red Blood Cells using Lower-dimensional Feature Space. - Shengyang Chen, Chih-Yung Wen, Yajing Zou, Wu Chen:
Stereo Visual Inertial Pose Estimation Based on Feedforward-Feedback Loops. - Wei-Yao Wang, Kai-Shiang Chang, Yu-Chien Tang:
EmotionGIF-Yankee: A Sentiment Classifier with Robust Model Based Ensemble Methods. - Maksym Bortin:
A Framework for Modelling, Verification and Transformation of Concurrent Imperative Programs. - Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei:
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. - Lijie Wang, Xueting Wang, Toshihiko Yamasaki:
Image Aesthetics Prediction Using Multiple Patches Preserving the Original Aspect Ratio of Contents. - Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
Rethinking Bottleneck Structure for Efficient Mobile Network Design. - Yulong Gao, Alessandro Abate, Frank J. Jiang, Mirco Giacobbe, Lihua Xie, Karl Henrik Johansson:
Temporal Logic Trees for Model Checking and Control Synthesis of Uncertain Discrete-time Systems. - Xiaoling Huang, Feng Liao:
Automatically Generating Codes from Graphical Screenshots Based on Deep Autocoder. - Javed Iqbal, Mohsen Ali:
Weakly Supervised Domain Adaptation for Built-up Region Segmentation in Aerial and Satellite Imagery. - Hao Xu, Ka-Hei Hui, Chi-Wing Fu, Hao Zhang:
TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network. - Yong Li, Andrea Turrini, Xuechao Sun, Lijun Zhang:
Proving Non-Inclusion of Büchi Automata based on Monte Carlo Sampling. - Xiaoyuan Liu, Ni Trieu, Evgenios M. Kornaropoulos, Dawn Song:
BeeTrace: A Unified Platform for Secure Contact Tracing that Breaks Data Silos. - Bithin Alangot, Daniël Reijsbergen, Sarad Venugopalan, Pawel Szalachowski:
Decentralized Lightweight Detection of Eclipse Attacks on Bitcoin Clients. - Elisavet Konstantina Stathopoulou, Fabio Remondino:
Multi view stereo with semantic priors. - Hui Yin, Shuiqiao Yang, Jianxin Li:
Detecting Topic and Sentiment Dynamics Due to COVID-19 Pandemic Using Social Media. - Bart Iver van Blokland, Theoharis Theoharis:
Radial Intersection Count Image: a Clutter Resistant 3D Shape Descriptor. - Ali Abbasi, Jos Wetzels, Thorsten Holz, Sandro Etalle:
Challenges in Designing Exploit Mitigations for Deeply Embedded Systems. - Jannik Pewny, Philipp Koppe, Thorsten Holz:
Steroids for DOPed Applications: A Compiler for Automated Data-Oriented Programming. - Behrad Garmany, Martin Stoffel, Robert Gawlik, Thorsten Holz:
Static Detection of Uninitialized Stack Variables in Binary Code. - Wenchao Xia, Tony Q. S. Quek, Kun Guo, Wanli Wen, Howard H. Yang, Hongbo Zhu:
Multi-Armed Bandit Based Client Scheduling for Federated Learning. - Ramesh Raskar, Abhishek Singh, Sam Zimmerman, Shrikant Kanaparti:
Adding Location and Global Context to the Google/Apple Exposure Notification Bluetooth API. - Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Chris Pal:
Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track. - Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen:
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. - Jannik Pewny, Thorsten Holz:
EvilCoder: Automated Bug Insertion. - Viktoria Stray, Nils Brede Moe:
Understanding coordination in global software engineering: A mixed-methods study on the use of meetings and Slack. - Bruno Bauwens, Marius Zimand:
Universal codes in the shared-randomness model for channels with general distortion capabilities. - Xing He, Rui Zhang, Jordan Alpert, Sicheng Zhou, Terrence J. Adam, Aantaki Raisa, Yifan Peng, Hansi Zhang, Jiang Bian:
When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information? - Kyuyong Shin, Young-Jin Park, Kyung-Min Kim, Sunyoung Kwon:
Multi-Manifold Learning for Large-scale Targeted Advertising System. - Yifan Zhang, Maohua Wang, Yongjian Huang, Qianrong Gu:
Improving Chinese Segmentation-free Word Embedding With Unsupervised Association Measure. - Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu:
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks. - Sebastian P. Bayerl, Tommaso Frassetto, Patrick Jauernig, Korbinian Riedhammer, Ahmad-Reza Sadeghi, Thomas Schneider, Emmanuel Stapf, Christian Weinert:
Offline Model Guard: Secure and Private ML on Mobile Devices. - Xinrui Liu:
Mission schedule of agile satellites based on Proximal Policy Optimization Algorithm. - Charles-Edouard Bréhier, David Cohen:
Analysis of a splitting scheme for a class of nonlinear stochastic Schrödinger equations. - Nermin Samet, Samet Hicsonmez, Emre Akbas:
HoughNet: Integrating near and long-range evidence for bottom-up object detection. - Maryam Farahnak-Ghazani, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari:
On Molecular Flow Velocity Meters. - Wei Lian, Wangmeng Zuo, Lei Zhang:
Aligning Partially Overlapping Point Sets: an Inner Approximation Algorithm. - Vlado Keselj:
Starfish: A Prototype for Universal Preprocessing and Text-Embedded Programming. - Adel Nabli, Margarida Carvalho, Pierre Hosteins:
Complexity of the Multilevel Critical Node Problem. - Giuliano Cornacchia, Giulio Rossetti, Luca Pappalardo:
Modelling Human Mobility considering Spatial, Temporal and Social Dimensions. - Naama Ben-David, Guy E. Blelloch, Panagiota Fatourou, Eric Ruppert, Yihan Sun, Yuanhao Wei:
Constant-Time Lazy Snapshots Supporting General Queries on Concurrent Data Structures. - Wenxiao Zhang, Qingan Yan, Chunxia Xiao:
Detail Preserved Point Cloud Completion via Separated Feature Aggregation. - Yingwei Pan, Yehao Li, Jianjie Luo, Jun Xu, Ting Yao, Tao Mei:
Auto-captions on GIF: A Large-scale Video-sentence Dataset for Vision-language Pre-training. - Zilong Bai, Hoa Nguyen, Ian Davidson:
Block Model Guided Unsupervised Feature Selection. - Amir Abboud, Vincent Cohen-Addad, Philip N. Klein:
New Hardness Results for Planar Graph Problems in P and an Algorithm for Sparsest Cut. - Baoquan Zhang, Ka-Cheong Leung, Yunming Ye, Xutao Li:
MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning. - Charu Sharma, Manohar Kaul:
Simplicial Complex based Point Correspondence between Images warped onto Manifolds. - Michael Chang, Sidhant Kaushik, S. Matthew Weinberg, Thomas L. Griffiths, Sergey Levine:
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions. - Bortik Bandyopadhyay, Pranav Maneriker, Vedang Patel, Saumya Yashmohini Sahai, Ping Zhang, Srinivasan Parthasarathy:
DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings. - Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang:
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. - Heming Zhang, Xuewen Yang, Jianchao Tan, Chi-Hao Wu, Jue Wang, C.-C. Jay Kuo:
Learning Color Compatibility in Fashion Outfits. - Dimitris Fotakis, Alkis Kalavasis, Christos Tzamos:
Efficient Parameter Estimation of Truncated Boolean Product Distributions. - Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Myung-Joon Kwon, Minseok Son, Heung-Kyu Lee:
Deep Convolutional Neural Network for Identifying Seam-Carving Forgery. - Yulin Wang, Jiayi Guo, Shiji Song, Gao Huang:
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning. - Alexander A. Davydov, Stefano Marcugini, Fernanda Pambianco:
On integral weight spectra of the MDS codes cosets of weight 1, 2, and 3. - Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach:
Adversarial Learning in the Cyber Security Domain. - Alexander Lindermayr, Sebastian Siebertz, Alexandre Vigny:
Elimination distance to bounded degree on planar graphs. - Alessandro Ecclesie Agazzi:
Business Email Compromise (BEC) and Cyberpsychology. - Han van der Aa, Henrik Leopold, Matthias Weidlich:
Partial Order Resolution of Event Logs for Process Conformance Checking. - Daniel J. Gonzalez, Mark C. Lesak, Andres H. Rodriguez, Joseph A. Cymerman, Christopher M. Korpela:
Dynamics and Aerial Attitude Control for Rapid Emergency Deployment of the Agile Ground Robot AGRO. - Zaheer Abbas, Samuel Sokota, Erin J. Talvitie, Martha White:
Selective Dyna-style Planning Under Limited Model Capacity. - Keval Morabia, Jatin Arora, Tara Vijaykumar:
Attention-based Joint Detection of Object and Semantic Part. - Mona Sloane, Emanuel Moss, Olaitan Awomolo, Laura Forlano:
Participation is not a Design Fix for Machine Learning. - Jiaxing Huang, Shijian Lu, Dayan Guan, Xiaobing Zhang:
Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation. - Daniel Esashika, Carlos Denner dos Santos:
The influence of sponsors on organizational structure of free software communities. - Philipp Czerner, Harald Räcke:
Compact Oblivious Routing in Weighted Graphs. - Xinyu Wu:
A stochastic calculus approach to the oracle separation of BQP and PH. - (Withdrawn) Estimation of Ground Contacts from Human Gait by a Wearable Inertial Measurement Unit using machine learning.
- Hui Ye, Zhiyu Chen, Da-Han Wang, Brian D. Davison:
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification. - Katja Schwarz, Yiyi Liao, Michael Niemeyer, Andreas Geiger:
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis. - Kirill Shevkunov, Liudmila Prokhorenkova:
Overlaying Spaces and Practical Applicability of Complex Geometries. - Zhengyang Shen, Zhenlin Xu, Sahin Olut, Marc Niethammer:
Anatomical Data Augmentation via Fluid-based Image Registration. - Marc Harper, Joshua Safyan:
Momentum Accelerates Evolutionary Dynamics. - Hyeju Jang, Emily Rempel, Giuseppe Carenini, Naveed Z. Janjua:
Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes. - Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang:
Self-Challenging Improves Cross-Domain Generalization. - Xin Zhong, Pei-Chi Huang, Spyridon Mastorakis, Frank Y. Shih:
An Automated and Robust Image Watermarking Scheme Based on Deep Neural Networks. - Xiao Guo, Hengameh Mirzaalian, Ekraam Sabir, Ayush Jaiswal, Wael Abd-Almageed:
CORD19STS: COVID-19 Semantic Textual Similarity Dataset. - Fang Liu, Wei-Guo Zhang:
A modified axiomatic foundation of the analytic hierarchy process. - Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang:
Understanding Echo Chambers in E-commerce Recommender Systems. - Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang:
Learning Personalized Risk Preferences for Recommendation. - Florian Richter:
Logic, Language, and Calculus. - Florian Richter:
Inferences and Modal Vocabulary. - Yuhuan Yuan, Huazhong Tang:
On the explicit two-stage fourth-order accurate time discretizations. - Florian Richter:
Space of Reasons and Mathematical Model. - Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang, Liang Lin:
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. - Vincent Nguyen, Maciej Rybinski, Sarvnaz Karimi, Zhenchang Xing:
Searching Scientific Literature for Answers on COVID-19 Questions. - Zhentong Shao, Qiaozhu Zhai, Jiang Wu, Xiaohong Guan:
Data Based Linearization: Least-Squares Based Approximation. - Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel:
Deep Learning for Anomaly Detection: A Review. - Zixu Zhao, Yueming Jin, Xiaojie Gao, Qi Dou, Pheng-Ann Heng:
Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video. - Xun Yang, Jianfeng Dong, Yixin Cao, Xun Wang, Meng Wang, Tat-Seng Chua:
Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval. - Erhan Öztop, Minoru Asada:
On the weight and density bounds of polynomial threshold functions. - Bowei Wu, Per-Gunnar Martinsson:
Corrected Trapezoidal Rules for Boundary Integral Equations in Three Dimensions. - Tao Yang, Zhixiong Nan, He Zhang, Shitao Chen, Nanning Zheng:
Traffic Agent Trajectory Prediction Using Social Convolution and Attention Mechanism. - Yingnan Fu, Tingting Liu, Ming Gao, Aoying Zhou:
EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression Recognition. - Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi:
In the Wild: From ML Models to Pragmatic ML Systems. - Xinyan Yan, Byron Boots, Ching-An Cheng:
Explaining Fast Improvement in Online Policy Optimization. - Amrith Setlur, Saket Dingliwal, Barnabás Póczos:
Covariate Distribution Aware Meta-learning. - Thomas J. Ringstrom, Mohammadhosein Hasanbeig, Alessandro Abate:
Jump Operator Planning: Goal-Conditioned Policy Ensembles and Zero-Shot Transfer. - Meng Zhou, Ziyu Liu, Pengwei Sui, Yixuan Li, Yuk Ying Chung:
Learning Implicit Credit Assignment for Multi-Agent Actor-Critic. - Yifan Gu, Qian Wang, He Chen, Yonghui Li, Branka Vucetic:
Optimizing Information Freshness in Two-Hop Status Update Systems under a Resource Constraint. - Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges:
ModeNet: Mode Selection Network For Learned Video Coding. - Lin Chen, Ahmed Sunny, Lei Xu, Shouhuai Xu, Zhimin Gao, Yang Lu, Weidong Shi, Nolan Shah:
Computational Complexity Characterization of Protecting Elections from Bribery. - Pierre Humbert, Laurent Oudre, Nicolas Vayatis, Julien Audiffren:
Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis. - Shilei Liu, Yu Guo, Bochao Li, Feiliang Ren:
LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation using Pretraining Language Model. - Eleftherios Stergiou:
A study of multistage interconnection networks operating with wormhole routing and equipped with multi-lane storage. - Jesse Michael Han:
Enhancing SAT solvers with glue variable predictions. - Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin:
Learning from Failure: Training Debiased Classifier from Biased Classifier. - Erik Burman, Peter Hansbo, Mats G. Larson:
Low Regularity Estimates for CutFEM Approximations of an Elliptic Problem with Mixed Boundary Conditions. - Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev:
Geometric Attention for Prediction of Differential Properties in 3D Point Clouds. - Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte:
A Novel Random Forest Dissimilarity Measure for Multi-View Learning. - Chenxu Luo, Lin Sun, Dariush Dabiri, Alan L. Yuille:
Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles. - Yifei Zhang, Chang Liu, Yu Zhou, Wei Wang, Weiping Wang, Qixiang Ye:
Progressive Cluster Purification for Unsupervised Feature Learning. - Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli:
Learning Graph-Convolutional Representations for Point Cloud Denoising. - Siang-Yun Lee, Heinz Riener, Alan Mishchenko, Robert K. Brayton, Giovanni De Micheli:
Simulation-Guided Boolean Resubstitution. - Syed Muhammad Atif, Shujaat Khan, Imran Naseem, Roberto Togneri, Mohammed Bennamoun:
Multi-Kernel Fusion for RBF Neural Networks. - Xiaocong Li, Haiyue Zhu, Jun Ma, Tat Joo Teo, Chek Sing Teo, Masayoshi Tomizuka, Tong Heng Lee:
Data-Driven Multi-Objective Controller Optimization for a Magnetically-Levitated Nanopositioning System. - Sanli Tang, Zhanzhan Cheng, Shiliang Pu, Dashan Guo, Yi Niu, Fei Wu:
Learning a Domain Classifier Bank for Unsupervised Adaptive Object Detection. - Yoichi Ishibashi, Katsuhito Sudoh, Koichiro Yoshino, Satoshi Nakamura:
Reflection-based Word Attribute Transfer. - Egor Bogomolov, Yaroslav Golubev, Artyom Lobanov, Vladimir Kovalenko, Timofey Bryksin:
Sosed: a tool for finding similar software projects. - Roozbeh Rezakhani, Emil R. Gallyamov, Jean-François Molinari:
Meso-scale Finite Element Modeling of Alkali-Silica-Reaction. - Isabel Bennett, Jobie Budd, Erin M. Manning, Ed Manley, Mengdie Zhuang, Ingemar J. Cox, Michael Short, Anne M. Johnson, Deenan Pillay, Rachel A. McKendry:
Go local: The key to controlling the COVID-19 pandemic in the post lockdown era. - Carlos Gemmell, Federico Rossetto, Jeffrey Dalton:
Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback. - Vladimir Tchuiev, Vadim Indelman:
Distributed Consistent Multi-Robot Semantic Localization and Mapping. - David Banks, Víctor Gallego, Roi Naveiro, David Ríos Insua:
Adversarial Risk Analysis (Overview). - Maksym Andriushchenko, Nicolas Flammarion:
Understanding and Improving Fast Adversarial Training. - Xing Liu, Weihua Deng:
Higher order approximation for stochastic wave equation. - Djoerd Hiemstra:
Reducing Misinformation in Query Autocompletions. - Dingwen Yuan, Hsuan-Yin Lin, Jörg Widmer, Matthias Hollick:
Optimal and Approximation Algorithms for Joint Routing and Scheduling in Millimeter-Wave Cellular Networks. - Albert Bou, Gianni De Fabritiis:
NAPPO: Modular and scalable reinforcement learning in pytorch. - Cristian Hernandez Benet, Andreas J. Kassler, Gianni Antichi, Theophilus A. Benson, Gergely Pongrácz:
Providing In-network Support to Coflow Scheduling. - Alessandro Ecclesie Agazzi:
Smart Home, security concerns of IoT. - Chao-Wei Huang, Yun-Nung Chen:
Learning Spoken Language Representations with Neural Lattice Language Modeling. - Mahsa Ehsanpour, Alireza Abedin, Fatemeh Sadat Saleh, Javen Shi, Ian D. Reid, Hamid Rezatofighi:
Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos. - Johannes Hofmanninger, Matthias Perkonigg, James A. Brink, Oleg S. Pianykh, Christian Herold, Georg Langs:
Dynamic memory to alleviate catastrophic forgetting in continuous learning settings. - Javier Fumanal-Idocin, Amparo Alonso-Betanzos, Oscar Cordón, Humberto Bustince, Maria Minárová:
Community detection and Social Network analysis based on the Italian wars of the 15th century. - Sang-Woo Lee, Hyunhoon Jung, SukHyun Ko, Sunyoung Kim, Hyewon Kim, Kyoungtae Doh, Hyunjung Park, Joseph Yeo, Sang-Houn Ok, Joonhaeng Lee, Seongjae Choi, SeungTae Hwang, Eun-Young Park, Gwang-Ja Ma, Seok-Joo Han, Kwang-Seung Cha, Nako Sung, Jung-Woo Ha:
CareCall: a Call-Based Active Monitoring Dialog Agent for Managing COVID-19 Pandemic. - Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han:
GCN for HIN via Implicit Utilization of Attention and Meta-paths. - Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Over-The-Air Computation for Distributed Machine Learning. - Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus, Verena Haunschmid, Michal Lewandowski, Werner Zellinger, Bernhard Alois Moser, Gerhard Widmer:
On Data Augmentation and Adversarial Risk: An Empirical Analysis. - John Wickström, Magnus Westerlund, Göran Pulkkis:
Rethinking IoT Security: A Protocol Based on Blockchain Smart Contracts for Secure and Automated IoT Deployments. - Max Bannach, Sebastian Berndt, Marten Maack, Matthias Mnich, Alexandra Lassota, Malin Rau, Malte Skambath:
Solving Packing Problems with Few Small Items Using Rainbow Matchings. - Md. Tanvir Rahman, Risala T. Khan, Muhammad R. A. Khandaker, Md. Sifat Ar Salan:
An Automated Contact Tracing Approach for Controlling Covid-19 Spread Based on Geolocation Data from Mobile Cellular Networks. - Huy V. Vo, Patrick Pérez, Jean Ponce:
Toward unsupervised, multi-object discovery in large-scale image collections. - Jean Christoph Jung, Carsten Lutz, Hadrien Pulcini, Frank Wolter:
Separating Positive and Negative Data Examples by Concepts and Formulas: The Case of Restricted Signatures. - James F. Allen, Hannah An, Ritwik Bose, William de Beaumont, Choh Man Teng:
A Broad-Coverage Deep Semantic Lexicon for Verbs. - Xiangyu Duan, Baijun Ji, Hao Jia, Min Tan, Min Zhang, Boxing Chen, Weihua Luo, Yue Zhang:
Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences. - Thomas Johnson, Eiman Kanjo, Kieran Woodward:
Sensor Data and the City: Urban Visualisation and Aggregation of Well-Being Data. - Angelo Barboni, Thomas Parisini:
Towards Distributed Accommodation of Covert Attacks in Interconnected Systems. - (Withdrawn) Multi-Sensor State Estimation Fusion on Quadruped Robot Locomotion.
- Renátó Besenczi, Norbert Bátfai, Péter Jeszenszky, Roland Major, Fanny Monori, Márton Ispány:
Large-scale Analysis and Simulation of Traffic Flow using Markov Models. - Sushma Venkatesh, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
On the Influence of Ageing on Face Morph Attacks: Vulnerability and Detection. - Elias Najarro, Sebastian Risi:
Meta-Learning through Hebbian Plasticity in Random Networks. - Anna Bleakley, Vincent Wade, Benjamin R. Cowan:
Finally a Case for Collaborative VR?: The Need to Design for Remote Multi-Party Conversations. - Aviv Navon, Idan Achituve, Haggai Maron, Gal Chechik, Ethan Fetaya:
Auxiliary Learning by Implicit Differentiation. - Anoosheh Heidarzadeh, Krishna R. Narayanan:
Two-Stage Adaptive Pooling with RT-qPCR for COVID-19 Screening. - Paul Pop, Bahram Zarrin, Mohammadreza Barzegaran, Stefan Schulte, Sasikumar Punnekkat, Jan Ruh, Wilfried Steiner:
The FORA Fog Computing Platform for Industrial IoT. - K. R. Chowdhary:
On the Evolution of Programming Languages. - Artemij Amiranashvili, Nicolai Dorka, Wolfram Burgard, Vladlen Koltun, Thomas Brox:
Scaling Imitation Learning in Minecraft. - Gabriel de Albuquerque Gleizer, Manuel Mazo Jr.:
Self-Triggered Output-Feedback Control of LTI Systems Subject to Disturbances and Noise. - Deng-Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, Ling Shao:
BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network. - (Withdrawn) Splintering with distributions: A stochastic decoy scheme for private computation.
- Gregor Cerar, Halil Yetgin, Mihael Mohorcic, Carolina Fortuna:
On Designing a Machine Learning Based Wireless Link Quality Classifier. - Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes:
Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-On. - Aocheng Li, Jie Guo, Yanwen Guo:
Image Stitching Based on Planar Region Consensus. - Aritz Bercher, Lukas Gonon, Arnulf Jentzen, Diyora Salimova:
Weak error analysis for stochastic gradient descent optimization algorithms. - Sandareka Wickramanayake, H. M. N. Dilum Bandara, Nishal A. Samarasekara:
Real-Time Monitoring and Driver Feedback to Promote Fuel Efficient Driving. - Aude Le Gluher, Pierre-Jean Spaenlehauer, Emmanuel Thomé:
Refined Analysis of the Asymptotic Complexity of the Number Field Sieve. - Didrik Nielsen, Priyank Jaini, Emiel Hoogeboom, Ole Winther, Max Welling:
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows. - Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Black-box Adversarial Example Generation with Normalizing Flows. - Maximilian Bachl, Joachim Fabini, Tanja Zseby:
LFQ: Online Learning of Per-flow Queuing Policies using Deep Reinforcement Learning. - Alessandro Artale, Jean Christoph Jung, Andrea Mazzullo, Ana Ozaki, Frank Wolter:
Living Without Beth and Craig: Explicit Definitions and Interpolants in Description Logics with Nominals. - Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang:
Optimization from Structured Samples for Coverage Functions. - Susanna F. de Rezende, Or Meir, Jakob Nordström, Toniann Pitassi, Robert Robere:
KRW Composition Theorems via Lifting. - Vanessa Volz, Boris Naujoks:
Towards Game-Playing AI Benchmarks via Performance Reporting Standards. - Ivana Balazevic, Carl Allen, Timothy M. Hospedales:
Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows. - Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen:
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. - Chunnan Wang, Hongzhi Wang, Guocheng Feng, Fei Geng:
Multi-Objective Neural Architecture Search Based on Diverse Structures and Adaptive Recommendation. - Matteo Lucchi, Friedemann Zindler, Stephan Mühlbacher-Karrer, Horst Pichler:
robo-gym - An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots. - Dimitris Vyzovitis, Yusef Napora, Dirk McCormick, David Dias, Yiannis Psaras:
GossipSub: Attack-Resilient Message Propagation in the Filecoin and ETH2.0 Networks. - Liliana Alcón, María Pía Mazzoleni, Tanilson Dias dos Santos:
On B1-EPG and EPT graphs. - Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque:
Sentiment Polarity Detection on Bengali Book Reviews Using Multinomial Naive Bayes. - Qingqing Wu, Shuowen Zhang, Beixiong Zheng, Changsheng You, Rui Zhang:
Intelligent Reflecting Surface Aided Wireless Communications: A Tutorial. - Feilong Zhang:
A New Model-Free Method for MIMO Systems and Discussion on Model-Free or Model-Based. - Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza, Robert F. Harrison:
Information Theoretic Data Injection Attacks with Sparsity Constraints. - Samiran Ganguly, Avik W. Ghosh:
Building Reservoir Computing Hardware Using Low Energy-Barrier Magnetics. - Stefano Calzavara, Pietro Ferrara, Claudio Lucchese:
Certifying Decision Trees Against Evasion Attacks by Program Analysis. - A. Torres-Hernandez, F. Brambila-Paz, P. M. Rodrigo:
Reduction of a nonlinear system and its numerical solution using a fractional iterative method. - Pietro Vertechi, Patrizio Frosini, Mattia G. Bergomi:
Parametric machines: a fresh approach to architecture search. - Stylianos Ioannis Mimilakis, Konstantinos Drossos, Gerald Schuller:
Revisiting Representation Learning for Singing Voice Separation with Sinkhorn Distances. - Weihong Guo, Yifei Lou, Jing Qin, Ming Yan:
A Novel Regularization Based on the Error Function for Sparse Recovery. - Julian Koellermeier, Ullika Scholz:
Spline Moment Models for the one-dimensional Boltzmann-BGK equation. - Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau:
TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning? - Vincenzo Riccio, Paolo Tonella:
Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing. - Sam Bond-Taylor, Chris G. Willcocks:
Gradient Origin Networks. - Nicolás Poggi, Alejandro Montero, David Carrera:
Characterizing BigBench queries, Hive, and Spark in multi-cloud environments. - Stephen Pasteris, Ting He, Fabio Vitale, Shiqiang Wang, Mark Herbster:
Online Learning of Facility Locations. - Álvaro Villalba, David Carrera:
Multi-tenant Pub/Sub Processing for Real-time Data Streams. - Franck Legendre, Mathias Humbert, Alain Mermoud, Vincent Lenders:
Contact Tracing: An Overview of Technologies and Cyber Risks. - Mohamed Ilyes Lakhal, Davide Boscaini, Fabio Poiesi, Oswald Lanz, Andrea Cavallaro:
Novel-View Human Action Synthesis. - Fatemeh Serpush, Mahdi Rezaei:
Complex Human Action Recognition in Live Videos Using Hybrid FR-DL Method. - Aaron Call, Jordà Polo, David Carrera, Francesc Guim, Sujoy Sen:
Disaggregating Non-Volatile Memory for Throughput-Oriented Genomics Workloads. - Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier:
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. - Matthew Fahrbach, Gramoz Goranci, Richard Peng, Sushant Sachdeva, Chi Wang:
Faster Graph Embeddings via Coarsening. - Abhimanyu Gupta, Ton J. J. van den Boom, Jacob van der Woude, Bart De Schutter:
Framework for Studying Stability of Switching Max-Plus Linear Systems. - Yue Liu, Adam Ghandar, Georgios Theodoropoulos:
Online NEAT for Credit Evaluation - a Dynamic Problem with Sequential Data. - Joseph Y. Halpern, Evan Piermont:
Dynamic Awareness. - Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba:
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. - Amelia Elizabeth Pollard, Jonathan L. Shapiro:
Eliminating Catastrophic Interference with Biased Competition. - Jørgen Bang-Jensen, Stéphane Bessy, Anders Yeo:
Non-separating spanning trees and out-branchings in digraphsof independence number 2. - Vivek Parmar, Narayani Bhatia, Shubham Negi, Manan Suri:
Exploration of Optimized Semantic Segmentation Architectures for edge-Deployment on Drones. - Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang:
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. - Francisco Javier Ibarrola, Nishant Ravikumar, Alejandro F. Frangi:
Partially Conditioned Generative Adversarial Networks. - Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, Stephen Lin:
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation. - Hamad Zogan, Xianzhi Wang, Shoaib Jameel, Guandong Xu:
Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media. - Daniel A. Messenger, David M. Bortz:
Weak SINDy For Partial Differential Equations. - Noor Akhmad Setiawan, Paruvachi Ammasai Venkatachalam, Ahmad Fadzil M. Hani:
Diagnosis of Coronary Artery Disease Using Artificial Intelligence Based Decision Support System. - Yingkai Ouyang, Narayanan Rengaswamy:
Weight Distribution of Classical Codes Influences Robust Quantum Metrology. - Luka V. Petrovic, Ingo Scholtes:
Learning the Markov order of paths in a network. - Silviu Pitis, Elliot Creager, Animesh Garg:
Counterfactual Data Augmentation using Locally Factored Dynamics. - Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Nazneen Fatema Rajani, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Murori Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher:
DART: Open-Domain Structured Data Record to Text Generation. - Derek Anderson, Matthew Deardorff, Timothy C. Havens, Siva K. Kakula, Timothy Wilkin, Muhammad Aminul Islam, Anthony Pinar, Andrew R. Buck:
Fuzzy Integral = Contextual Linear Order Statistic. - Roberta Raileanu, Maxwell Goldstein, Arthur Szlam, Rob Fergus:
Fast Adaptation via Policy-Dynamics Value Functions. - Prakamya Mishra, Pranav Mathur:
Contextualized Spoken Word Representations from Convolutional Autoencoders. - Mathias Unberath, Kevin Yu, Roghayeh Barmaki, Alex Johnson, Nassir Navab:
Augment Yourself: Mixed Reality Self-Augmentation Using Optical See-through Head-mounted Displays and Physical Mirrors. - Robert Long:
Fairness in machine learning: against false positive rate equality as a measure of fairness. - Joymallya Chakraborty, Kewen Peng, Tim Menzies:
Making Fair ML Software using Trustworthy Explanation. - Kuntoro Adi Nugroho, Noor Akhmad Setiawan, Teguh Bharata Adji:
Coronary Heart Disease Diagnosis Based on Improved Ensemble Learning. - Xinliang Zhang, Mojtaba Vaezi:
Multi-Objective DNN-based Precoder for MIMO Communications. - Péter Mernyei, Catalina Cangea:
Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks. - Jason D. Hartline, Yingkai Li, Liren Shan, Yifan Wu:
Optimization of Scoring Rules. - Zhu Chen, Xiao Liang, Minghui Zheng:
Including Image-based Perception in Disturbance Observer for Warehouse Drones. - Stefan Steinerberger:
A Weighted Randomized Kaczmarz Method for Solving Linear Systems. - Toghrul Karimov, Joël Ouaknine, James Worrell:
On LTL Model Checking for Low-Dimensional Discrete Linear Dynamical Systems. - Ruqi Zhang, Yingzhen Li, Christopher De Sa, Sam Devlin, Cheng Zhang:
Meta-Learning for Variational Inference. - Lin Lan, Pinghui Wang, Xuefeng Du, Kaikai Song, Jing Tao, Xiaohong Guan:
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding. - Weijian Deng, Liang Zheng:
Are Labels Necessary for Classifier Accuracy Evaluation? - Xiang Xu, Megha Nawhal, Greg Mori, Manolis Savva:
MCMI: Multi-Cycle Image Translation with Mutual Information Constraints. - Yuhuai Wu, Albert Q. Jiang, Jimmy Ba, Roger B. Grosse:
INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving. - Mark van Hoeij, Moulay A. Barkatou, Johannes Middeke:
A Family of Denominator Bounds for First Order Linear Recurrence Systems. - Benjamin Flamm, Guillermo Ramos, Annika Eichler, John Lygeros:
Multiperiod Stochastic Peak Shaving Using Storage. - Rooholla Khorrambakht, Hamed Damirchi, Hamid D. Taghirad:
Preintegrated IMU Features For Efficient Deep Inertial Odometry. - Marvin Zhang, Henrik Marklund, Abhishek Gupta, Sergey Levine, Chelsea Finn:
Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Shift. - Allan Zhou, Tom Knowles, Chelsea Finn:
Meta-Learning Symmetries by Reparameterization. - Hanlin Lu, Changchang Liu, Ting He, Shiqiang Wang, Kevin S. Chan:
Sharing Models or Coresets: A Study based on Membership Inference Attack. - Asif Iqbal Khan, S. M. K. Quadri, Saba Banday:
Deep Learning for Apple Diseases: Classification and Identification. - Meng-Lun Lee, Sara Behdad, Xiao Liang, Minghui Zheng:
A Real-Time Receding Horizon Sequence Planner for Disassembly in A Human-Robot Collaboration Setting. - Nitzan Zamir, Yoram Moses:
Probably Approximately Knowing. - Yuanqi Gao, Wei Wang, Nanpeng Yu:
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks. - Julien Brenneck, Eric Polizzi:
An Iterative Method for Contour-Based Nonlinear Eigensolvers. - Tom Kocmi, Martin Popel, Ondrej Bojar:
Announcing CzEng 2.0 Parallel Corpus with over 2 Gigawords. - Shiva Navabi, Ashutosh Nayyar:
Optimal Dynamic Mechanism Design with Stochastic Supply and Flexible Consumers. - Ahmed Al-Baghdadi, Xiang Lian:
Topic-based Community Search over Spatial-Social Networks (Technical Report). - Sarah Jane Hamilton, David Isaacson, Ville Kolehmainen, Peter A. Muller, Jussi Toivanen, Patrick F. Bray:
3D EIT Reconstructions from Electrode Data using Direct Inversion D-bar and Calderon Methods. - Abdulkareem Alsudais:
Incorrect Data in the Widely Used Inside Airbnb Dataset. - Shreyas Mangalgi, Lakshya Kumar, T. Ravindra Babu:
Deep Contextual Embeddings for Address Classification in E-commerce. - Dmitry Pozdnyakov:
Determination of the most representative descriptor among a set of feature vectors for the same object. - Xiaorui Liu, Juan Ospina, Charalambos Konstantinou:
Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems. - Chen-Han Tsai, Nahum Kiryati, Eli Konen, Miri Sklair-Levy, Arnaldo Mayer:
Labeling of Multilingual Breast MRI Reports. - Saurav Jha, Martin Schiemer, Juan Ye:
Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization. - Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici:
Nonlinear Transform Coding. - Amit Chakrabarti, Prantar Ghosh, Justin Thaler:
Streaming Verification for Graph Problems: Optimal Tradeoffs and Nonlinear Sketches. - Arun Ganesh, Aaron Sy:
Near-Linear Time Edit Distance for Indel Channels. - Sadegh Abbaszadeh, Eyke Hüllermeier:
Machine Learning with the Sugeno Integral: The Case of Binary Classification. - Vivien Sainte Fare Garnot, Loïc Landrieu:
Metric-Guided Prototype Learning. - Jairo Viola, Carlos Rodriguez, YangQuan Chen:
PHELP: Pixel Heating Experiment Learning Platform for Education and Research on IAI-based Smart Control Engineering. - Lasse F. Wolff Anthony, Benjamin Kanding, Raghavendra Selvan:
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models. - Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Learning to Segment Anatomical Structures Accurately from One Exemplar. - Srijan Das, Saurav Sharma, Rui Dai, François Brémond, Monique Thonnat:
VPN: Learning Video-Pose Embedding for Activities of Daily Living. - Kelin Luo, Frits C. R. Spieksma:
Approximation algorithms for car-sharing problems. - Valentin Deschaintre, George Drettakis, Adrien Bousseau:
Guided Fine-Tuning for Large-Scale Material Transfer. - Hamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad:
ARC-Net: Activity Recognition Through Capsules. - Fabio Alberto Schreiber, Maria Elena Valcher:
A Boolean Control Network Approach to the Formal Verification of Feedback Context-Aware Pervasive Systems. - Zhongnan Qu, Cong Liu, Junfeng Guo, Lothar Thiele:
Deep Partial Updating. - Jiayi Wang, Franziska Mueller, Florian Bernard, Christian Theobalt:
Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation. - David A. Plaisted, Lee Barnett:
A Term-Rewriting Semantics for Imperative Style Programming. - Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao:
Wasserstein Distances for Stereo Disparity Estimation. - Rex Ying, Zhaoyu Lou, Jiaxuan You, Chengtao Wen, Arquimedes Canedo, Jure Leskovec:
Neural Subgraph Matching. - Klára Janousková, Jiri Matas, Lluís Gómez, Dimosthenis Karatzas:
Text Recognition - Real World Data and Where to Find Them. - Ankur Deka, Katia P. Sycara:
Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams. - Sarvesh Soni, Kirk Roberts:
An Evaluation of Two Commercial Deep Learning-Based Information Retrieval Systems for COVID-19 Literature. - Amol Kapoor, Xue Ben, Luyang Liu, Bryan Perozzi, Matt Barnes, Martin Blais, Shawn O'Banion:
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks. - Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay:
Relaxed Conformal Prediction Cascades for Efficient Inference Over Many Labels. - Shibo Li, Wei W. Xing, Mike Kirby, Shandian Zhe:
Multi-Fidelity Bayesian Optimization via Deep Neural Networks. - Wenbo Ren, Xingyu Zhou, Jia Liu, Ness B. Shroff:
Multi-Armed Bandits with Local Differential Privacy. - Kalun Ho, Janis Keuper, Franz-Josef Pfreundt, Margret Keuper:
Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches. - Nihat Ay:
Confounding Ghost Channels and Causality: A New Approach to Causal Information Flows. - Amel Awadelkarim, Johan Ugander:
Prioritized Restreaming Algorithms for Balanced Graph Partitioning. - Luke B. Hewitt, Tuan Anh Le, Joshua B. Tenenbaum:
Learning to learn generative programs with Memoised Wake-Sleep. - Wenbo Ren, Jia Liu, Ness B. Shroff:
The Sample Complexity of Best-k Items Selection from Pairwise Comparisons. - Adewale Adeagbo:
Predicting Afrobeats Hit Songs Using Spotify Data. - Guang Liu, Gang Tu, Zheng Li, Yi-Jian Liu:
Research on Annotation Rules and Recognition Algorithm Based on Phrase Window. - Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Dual Mixup Regularized Learning for Adversarial Domain Adaptation. - Huy Truong Dinh, Daehee Kim:
An Energy-Saving Home Energy Management Supporting Selling Operation and User Comfort. - Adel Nabli, Margarida Carvalho:
Curriculum learning for multilevel budgeted combinatorial problems. - Jason Lowe-Power, Abdul Mutaal Ahmad, Ayaz Akram, Mohammad Alian, Rico Amslinger, Matteo Andreozzi, Adrià Armejach, Nils Asmussen, Srikant Bharadwaj, Gabe Black, Gedare Bloom, Bobby R. Bruce, Daniel Rodrigues Carvalho, Jerónimo Castrillón, Lizhong Chen, Nicolas Derumigny, Stephan Diestelhorst, Wendy Elsasser, Marjan Fariborz, Amin Farmahini Farahani, Pouya Fotouhi, Ryan Gambord, Jayneel Gandhi, Dibakar Gope, Thomas Grass, Bagus Hanindhito, Andreas Hansson, Swapnil Haria, Austin Harris, Timothy Hayes, Adrian Herrera, Matthew Horsnell, Syed Ali Raza Jafri, Radhika Jagtap, Hanhwi Jang, Reiley Jeyapaul, Timothy M. Jones, Matthias Jung, Subash Kannoth, Hamidreza Khaleghzadeh, Yuetsu Kodama, Tushar Krishna, Tommaso Marinelli, Christian Menard, Andrea Mondelli, Tiago Mück, Omar Naji, Krishnendra Nathella, Hoa Nguyen, Nikos Nikoleris, Lena E. Olson, Marc S. Orr, Binh Pham, Pablo Prieto, Trivikram Reddy, Alec Roelke, Mahyar Samani, Andreas Sandberg, Javier Setoain, Boris Shingarov, Matthew D. Sinclair, Tuan Ta, Rahul Thakur, Giacomo Travaglini, Michael Upton, Nilay Vaish, Ilias Vougioukas, Zhengrong Wang, Norbert Wehn, Christian Weis, David A. Wood, Hongil Yoon, Éder F. Zulian:
The gem5 Simulator: Version 20.0+. - Yunjie Tian, Chang Liu, Lingxi Xie, Jianbin Jiao, Qixiang Ye:
Discretization-Aware Architecture Search. - Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda:
Policy learning with partial observation and mechanical constraints for multi-person modeling. - Harm van Seijen, Hadi Nekoei, Evan Racah, Sarath Chandar:
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning. - Yufan He, Aaron Carass, Lianrui Zuo, Blake E. Dewey, Jerry L. Prince:
Self domain adapted network. - Kevin Shen-Hoong Ong, Yang Zhang, Dusit Niyato:
Cognitive Radio Network Throughput Maximization with Deep Reinforcement Learning. - Baihong Jin, Yingshui Tan, Yuxin Chen, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults? - Dongsu Zhang, Junha Chun, Sang Kyun Cha, Young Min Kim:
Spatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric Learning. - Osama T. Ibrahim, Walid Gomaa, Moustafa Youssef:
CrossCount: A Deep Learning System for Device-free Human Counting using WiFi. - Rahul Pandey, Hemant Purohit, Carlos Castillo, Valerie L. Shalin:
Modeling and Mitigating Human Annotation Errors to Design Efficient Stream Processing Systems with Human-in-the-loop Machine Learning. - Guyue Huang, Guohao Dai, Yu Wang, Huazhong Yang:
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks. - Zhiwen Zhang, Chuang Yang, Zipei Fan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki:
EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control. - Xinyuan Liu, Jihua Zhu, Qinghai Zheng, Zhongyu Li, Ruixin Liu, Jun Wang:
Bidirectional Loss Function for Label Enhancement and Distribution Learning. - Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu:
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. - Yang Fang, Xiang Zhao, Weidong Xiao:
Exploring Heterogeneous Information Networks via Pre-Training. - Hoda Bidkhori, John P. Dickerson, Duncan C. McElfresh, Ke Ren:
Kidney Exchange with Inhomogeneous Edge Existence Uncertainty. - Vishwanath A. Sindagi, Rajeev Yasarla, Deepak Babu Sam, R. Venkatesh Babu, Vishal M. Patel:
Learning to Count in the Crowd from Limited Labeled Data. - Zhongkai Hao, Chengqiang Lu, Zheyuan Hu, Hao Wang, Zhenya Huang, Qi Liu, Enhong Chen, Cheekong Lee:
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. - Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem:
Regional Image Perturbation Reduces Lp Norms of Adversarial Examples While Maintaining Model-to-model Transferability. - Fan Yang, Xin Chang, Chenyu Dang, Ziqiang Zheng, Sakriani Sakti, Satoshi Nakamura, Yang Wu:
ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation. - Yuwen Yang, Jayant Rajgopal:
Learning Combined Set Covering and Traveling Salesman Problem. - Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu, Chris J. Maddison, Roger B. Grosse, Edward A. Lee, Sanjit A. Seshia, Fahiem Bacchus:
Learning Branching Heuristics for Propositional Model Counting. - Haoran Yu, Ermin Wei, Randall A. Berry:
Learning to Price Vehicle Service with Unknown Demand. - Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei:
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks. - Doyup Lee, Yeongjae Cheon:
Soft Labeling Affects Out-of-Distribution Detection of Deep Neural Networks. - Yawen Wu, Zhepeng Wang, Yiyu Shi, Jingtong Hu:
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning. - Takashi Matsumoto, Arisa Ema:
RCModel, a Risk Chain Model for Risk Reduction in AI Services. - Anuraganand Sharma, Dinesh Kumar:
Classification with 2-D Convolutional Neural Networks for breast cancer diagnosis. - Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu:
Meta-Learning with Network Pruning. - Wenhao Lyu, Youyou Lu, Jiwu Shu, Wei Zhao:
Sapphire: Automatic Configuration Recommendation for Distributed Storage Systems. - Zixuan Xu, Banghuai Li, Miao Geng, Ye Yuan, Gang Yu:
AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses. - Hassan Saber, Pierre Ménard, Odalric-Ambrym Maillard:
Optimal Strategies for Graph-Structured Bandits. - Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity. - Rafael Makrigiorgis, Panayiotis Kolios, Stelios Timotheou, Theocharis Theocharides, Christos G. Panayiotou:
Extracting the fundamental diagram from aerial footage. - Li-Huang Tsai, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Cheng Juan:
Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks. - Eric T. Chung, Jiuhua Hu, Sai-Mang Pun:
Convergence of the CEM-GMsFEM for Stokes flows in heterogeneous perforated domains. - Bichuan Guo, Jiangtao Wen, Zhen Xia, Shan Liu, Yuxing Han:
Learning Model-Blind Temporal Denoisers without Ground Truths. - Weiyu Guo, Yidong Ouyang:
Robust Learning with Frequency Domain Regularization. - Alessandro Bregoli, Marco Scutari, Fabio Stella:
Constraint-Based Learning for Continuous-Time Bayesian Networks. - Thomas Seiller, Jakob Grue Simonsen:
An Embellished Account of Agafonov's Proof of Agafonov's Theorem. - Andrea Peruffo, Daniele Ahmed, Alessandro Abate:
Automated Formal Synthesis of Neural Barrier Certificates for Dynamical Models. - Tianyu Mu, Hongzhi Wang, Chunnan Wang, Zheng Liang:
Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network. - Xiaohan Ding, Tianxiang Hao, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding:
Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization. - Zhengzheng Tu, Yan Ma, Zhun Li, Chenglong Li, Jieming Xu, Yongtao Liu:
RGBT Salient Object Detection: A Large-scale Dataset and Benchmark. - Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition. - Prathmesh Sawant, Yashwant Temburu, Mandar Datar, Imran Ahmed, Vinayak Shriniwas, Sachin B. Patkar:
Single Storage Semi-Global Matching for Real Time Depth Processing. - Jialin Ji, Xin Zhou, Chao Xu, Fei Gao:
CMPCC: Corridor-based Model Predictive Contouring Control for Aggressive Drone Flight. - Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Amir Salman Avestimehr, Nageen Himayat:
Coded Computing for Federated Learning at the Edge. - Sébastien Salva, Loukmen Regainia:
An Advanced Approach for Choosing Security Patterns and Checking their Implementation. - Minh N. H. Nguyen, Shashi Raj Pandey, Nguyen Dang Tri, Eui-Nam Huh, Choong Seon Hong, Nguyen Hoang Tran, Walid Saad:
Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems. - Mohammad Idrees Bhat, B. Sharada:
Spectral Graph-based Features for Recognition of Handwritten Characters: A Case Study on Handwritten Devanagari Numerals. - Miao Hao, Yitao Liu, Xiangyu Zhang, Jian Sun:
LabelEnc: A New Intermediate Supervision Method for Object Detection. - Kieran Greer:
An Entropy Equation for Energy. - Javier Esparza, Fabian Reiter:
A Classification of Weak Asynchronous Models of Distributed Computing. - Kai Brach, Beate Sick, Oliver Dürr:
Single Shot MC Dropout Approximation. - Weiyan Wang, Cengguang Zhang, Liu Yang, Jiacheng Xia, Kai Chen, Kun Tan:
Divide-and-Shuffle Synchronization for Distributed Machine Learning. - Andre Pawlowski, Victor van der Veen, Dennis Andriesse, Erik van der Kouwe, Thorsten Holz, Cristiano Giuffrida, Herbert Bos:
VPS: Excavating High-Level C++ Constructs from Low-Level Binaries to Protect Dynamic Dispatching. - Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Learning to Generate Novel Domains for Domain Generalization. - Qi Shen, Shijun Wu, Yanzhen Zou, Zixiao Zhu, Bing Xie:
From API to NLI: A New Interface for Library Reuse. - Xiaoze Jiang, Jing Yu, Yajing Sun, Zengchang Qin, Zihao Zhu, Yue Hu, Qi Wu:
DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue. - Kevin Shen-Hoong Ong, Dusit Niyato, Chau Yuen:
Predictive Maintenance for Edge-Based Sensor Networks: A Deep Reinforcement Learning Approach. - Yi Han, Shanika Karunasekera, Christopher Leckie:
Graph Neural Networks with Continual Learning for Fake News Detection from Social Media. - Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu:
Efficient Learning of Generative Models via Finite-Difference Score Matching. - Bart Smeulders, Danny Blom, Frits C. R. Spieksma:
The Stackelberg Kidney Exchange Problem is Σ2p-complete. - Graham Spinks, Marie-Francine Moens:
Structured (De)composable Representations Trained with Neural Networks. - Gabriele Libardi, Gianni De Fabritiis:
Guided Exploration with Proximal Policy Optimization using a Single Demonstration. - Mohammad Hossein Chinaei, Hassan Habibi Gharakheili, Vijay Sivaraman:
Optimal Witnessing of Healthcare IoT Data Using Blockchain Logging Contract. - Kaifeng Bi, Lingxi Xie, Xin Chen, Longhui Wei, Qi Tian:
GOLD-NAS: Gradual, One-Level, Differentiable. - George T. Hall, Pietro Simone Oliveto, Dirk Sudholt:
Fast Perturbative Algorithm Configurators. - Marzi Heidari, Mehdi Ghatee, Ahmad Nickabadi, Arash Pourhasan Nezhad:
Diverse and Styled Image Captioning Using SVD-Based Mixture of Recurrent Experts. - Mario Gleirscher, Radu Calinescu:
Safety Controller Synthesis for Collaborative Robots. - Hussain Mohammed Dipu Kabir, Moloud Abdar, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan:
SpinalNet: Deep Neural Network with Gradual Input. - Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou:
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr. - Kun Xiao, Yuxin Chen, Wuyao Jiang, Chenyao Wang, Longfei Zhao:
Modeling, Simulation and Implementation of a Bird-Inspired Morphing Wing Aircraft. - Jack W. Rae, Ali Razavi:
Do Transformers Need Deep Long-Range Memory. - Mobarakol Islam, Seenivasan Lalithkumar, Lim Chwee Ming, Hongliang Ren:
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery. - Florian Wiesweg, Andreas Vogelsang, Daniel Méndez:
Data-driven Risk Management for Requirements Engineering: An Automated Approach based on Bayesian Networks. - Ithan Moreira, Javier Rivas, Francisco Cruz, Richard Dazeley, Angel Ayala, Bruno J. T. Fernandes:
Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment. - Marta Kwiatkowska, Gethin Norman, David Parker, Gabriel Santos:
Multi-player Equilibria Verification for Concurrent Stochastic Games. - Louis Béthune, Yacouba Kaloga, Pierre Borgnat, Aurélien Garivier, Amaury Habrard:
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening. - Raul Gomez, Jaume Gibert, Lluís Gómez, Dimosthenis Karatzas:
Location Sensitive Image Retrieval and Tagging. - Paul Wright, Catherine White, Ryan C. Parker, Jean-Sébastien Pegon, Marco Menchetti, Joseph Pearse, Arash Bahrami, Anastasia Moroz, Adrian Wonfor, Richard V. Penty, Timothy P. Spiller, Andrew Lord:
5G Network Slicing with QKD and Quantum-Safe Security. - Laurin Herbsthofer, Barbara Prietl, Martina Tomberger, Thomas Pieber, Pablo López-García:
C2G-Net: Exploiting Morphological Properties for Image Classification. - Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, Jianbing Shen:
Re-thinking Co-Salient Object Detection. - Kang Liu, Feng Xue, Richang Hong:
RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding. - Roberto Casula, Giulia Orrù, Daniele Angioni, Xiaoyi Feng, Gian Luca Marcialis, Fabio Roli:
Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors? - Andris Ambainis, Kaspars Balodis, Janis Iraids, Kamil Khadiev, Vladislavs Klevickis, Krisjanis Prusis, Yixin Shen, Juris Smotrovs, Jevgenijs Vihrovs:
Quantum Lower and Upper Bounds for 2D-Grid and Dyck Language. - Jong Won Park:
Continual BERT: Continual Learning for Adaptive Extractive Summarization of COVID-19 Literature. - Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin:
Wasserstein Generative Models for Patch-based Texture Synthesis. - Darius Burschka, Christian Robl, Sebastian Ohrendorf-Weiss:
Optical Navigation in Unstructured Dynamic Railroad Environments. - Mahmoud Darwich, Yasser Ismail, Talal Darwich, Magdy A. Bayoumi:
Cost-Efficient Storage for On-Demand Video Streaming on Cloud. - Mingyuan Ma, Sen Na, Hongyu Wang, Jin Xu:
AEGCN: An Autoencoder-Constrained Graph Convolutional Network. - Igor Averbakh, Jordi Pereira:
Tree Optimization Based Heuristics and Metaheuristics in Network Construction Problems. - Tak Shing Au Yeung, Eric T. Chung, Simon See:
A deep learning based nonlinear upscaling method for transport equations. - Jin Guo:
Decentralized Deep Reinforcement Learning for Network Level Traffic Signal Control. - Arnab Kumar Mondal, Pratheeksha Nair, Kaleem Siddiqi:
Group Equivariant Deep Reinforcement Learning. - Mengjiao Yang, Ofir Nachum, Bo Dai, Lihong Li, Dale Schuurmans:
Off-Policy Evaluation via the Regularized Lagrangian. - Sho Sonoda, Isao Ishikawa, Masahiro Ikeda:
Gradient Descent Converges to Ridgelet Spectrum. - Liz McQuillan, Erin McAweeney, Alicia Bargar, Alex Ruch:
Cultural Convergence: Insights into the behavior of misinformation networks on Twitter. - Birgitta Dresp-Langley:
Children's health in the digital age. - Ian J. Costello, Abhinav Bhatele:
Analytics of Longitudinal System Monitoring Data for Performance Prediction. - Xinchun Yu, Shuangqin Wei, Yuan Luo:
Total Variation Distance Based Performance Analysis of Covert Communication over AWGN Channels in Non-asymptotic Regime. - Santiago R. Simanca:
The vibrations of thin plates. - Emna Zedini, Abla Kammoun, Hamza Soury, Mounir Hamdi, Mohamed-Slim Alouini:
Performance Analysis of Dual-Hop Underwater Wireless Optical Communication Systems over Mixture Exponential-Generalized Gamma Turbulence Channels. - Boyu Zhou, Jie Pan, Fei Gao, Shaojie Shen:
RAPTOR: Robust and Perception-aware Trajectory Replanning for Quadrotor Fast Flight. - Bruno Messias Farias de Resende, Luciano da F. Costa:
Characterization and comparison of large directed graphs through the spectra of the magnetic Laplacian. - Dang Quang A, Nguyen Quoc Hung, Vu Vinh Quang:
Numerical method for solving the Dirichlet boundary value problem for nonlinear triharmonic equation. - Donya Nojavanzadeh, Zhenwei Liu, Ali Saberi, Anton A. Stoorvogel:
Scale-free Design for Delayed Regulated Synchronization of Homogeneous and Heterogeneous Discrete-time Multi-agent Systems Subject to Unknown Non-uniform and Arbitrarily Large Communication Delays. - Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou:
Dynamic Regret of Convex and Smooth Functions. - Kunal Pattanayak, Vikram Krishnamurthy:
Inverse Reinforcement Learning for Sequential Hypothesis Testing and Search. - Andreas Bærentzen, Eva Rotenberg:
Skeletonization via Local Separators. - Florent Chave, Daniele A. Di Pietro, Simon Lemaire:
A discrete Weber inequality on three-dimensional hybrid spaces with application to the HHO approximation of magnetostatics. - Simon Yusuf Enoch, Jin B. Hong, Mengmeng Ge, Dong Seong Kim:
Composite Metrics for Network Security Analysis. - Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel López-Ibáñez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise:
Benchmarking in Optimization: Best Practice and Open Issues. - Brian Bockelman, Andrea Ceccanti, Fabrizio Furano, A. Paul Millar, Dmitry Litvintsev, Alessandra Forti:
Third-party transfers in WLCG using HTTP. - Nicolas Grelier:
Computing a maximum clique in geometric superclasses of disk graphs. - Benjin Zhu, Jianfeng Wang, Zhengkai Jiang, Fuhang Zong, Songtao Liu, Zeming Li, Jian Sun:
AutoAssign: Differentiable Label Assignment for Dense Object Detection. - Matthew Ciolino, David Noever, Josh Kalin:
The Go Transformer: Natural Language Modeling for Game Play. - Kevin Yu, Jason M. O'Kane, Pratap Tokekar:
Coverage of an Environment Using Energy-Constrained Unmanned Aerial Vehicles. - Mirko Zichichi, Stefano Ferretti, Gabriele D'Angelo:
On the Efficiency of Decentralized File Storage for Personal Information Management Systems. - Diego Doimo, Aldo Glielmo, Alessio Ansuini, Alessandro Laio:
Hierarchical nucleation in deep neural networks. - Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka:
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations. - Daniel T. Chang:
Distance-Geometric Graph Convolutional Network (DG-GCN). - Mikita Sazanovich, Konstantin Chaika, Kirill Krinkin, Aleksei Shpilman:
Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously. - Tongwen Huang, Qingyun She, Zhiqiang Wang, Junlin Zhang:
GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction. - Huawei Huang, Wei Kong, Sicong Zhou, Zibin Zheng, Song Guo:
A Survey of State-of-the-Art on Blockchains: Theories, Modelings, and Tools. - Matt Luckcuck:
Monitoring Robotic Systems using CSP: From Safety Designs to Safety Monitors. - Michele Girfoglio, Francesco Ballarin, Giuseppe Infantino, Francesca Nicolò, Andrea Montalto, Gianluigi Rozza, Roberto Scrofani, Marina Comisso, Francesco Musumeci:
Non-intrusive PODI-ROM for patient-specific aortic blood flow in presence of a LVAD device. - David Yakira, Avi Asayag, Ido Grayevsky, Idit Keidar:
Economically Viable Randomness. - Luca Stornaiuolo, Nima Dehmamy, Albert-László Barabási, Mauro Martino:
3D Topology Transformation with Generative Adversarial Networks. - Kun Li, Fanglan Zheng, Jiang Tian, Xiaojia Xiang:
A Federated F-score Based Ensemble Model for Automatic Rule Extraction. - Jixin Wang, Sanping Zhou, Chaowei Fang, Le Wang, Jinjun Wang:
Meta Corrupted Pixels Mining for Medical Image Segmentation. - Frits W. Vaandrager, Abhisek Midya:
A Myhill-Nerode Theorem for Register Automata and Symbolic Trace Languages. - Lalita Lowphansirikul, Charin Polpanumas, Attapol T. Rutherford, Sarana Nutanong:
scb-mt-en-th-2020: A Large English-Thai Parallel Corpus. - Zheng Wang, Xiaojun Ye, Chaokun Wang, Jian Cui, Philip S. Yu:
Network Embedding with Completely-imbalanced Labels. - Haowen Fang, Amar Shrestha, Qinru Qiu:
Multivariate Time Series Classification Using Spiking Neural Networks. - Jannik Pewny, Philipp Koppe, Lucas Davi, Thorsten Holz:
Breaking and Fixing Destructive Code Read Defenses. - Benjamin Kollenda, Philipp Koppe, Marc Fyrbiak, Christian Kison, Christof Paar, Thorsten Holz:
An Exploratory Analysis of Microcode as a Building Block for System Defenses. - Robert Gawlik, Philipp Koppe, Benjamin Kollenda, Andre Pawlowski, Behrad Garmany, Thorsten Holz:
Detile: Fine-Grained Information Leak Detection in Script Engines. - Andrei Ivanov, Ilya Agapov:
Physics-Based Deep Neural Networks for Beam Dynamics in Charged Particle Accelerators. - Diego P. Rubert, Fábio Viduani Martinez, Marília D. V. Braga:
Natural family-free genomic distance. - Jiajun Deng, Yingwei Pan, Ting Yao, Wengang Zhou, Houqiang Li, Tao Mei:
Single Shot Video Object Detector. - Titouan Carette, Simon Perdrix:
Colored props for large scale graphical reasoning. - Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao:
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. - Jiacheng Zhuo, Liu Liu, Constantine Caramanis:
Robust Structured Statistical Estimation via Conditional Gradient Type Methods. - Zhibin Niu, Runlin Li, Junqi Wu, Yaqi Xue, Jiawan Zhang:
regvis.net - A Visual Bibliography of Regulatory Visualization. - Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter:
Provably Safe PAC-MDP Exploration Using Analogies. - Lun Yang:
Resolving Head-On Conflicts for Multi-Agent Path Finding with Conflict-Based Search. - Mirko Myllykoski:
A Task-based Multi-shift QR/QZ Algorithm with Aggressive Early Deflation. - Daniyar B. Nurseitov, Kairat Bostanbekov, Daniyar Kurmankhojayev, Anel Alimova, Abdelrahman Abdallah:
HKR For Handwritten Kazakh & Russian Database. - Lukas Malburg, Patrick Klein, Ralph Bergmann:
Using Semantic Web Services for AI-Based Research in Industry 4.0. - Wolfgang Dvorák, Atefeh Keshavarzi Zafarghandi, Stefan Woltran:
Expressiveness of SETAFs and Support-Free ADFs under 3-valued Semantics. - Bo Jiang, Sheng Wang, Xiao Wang, Aihua Zheng:
SaADB: A Self-attention Guided ADB Network for Person Re-identification. - Shaojie Tang, Jing Yuan:
Adaptive Cascade Submodular Maximization. - Wang Han, Wesley Yeung, Angeline Tung, Joey Tay Ai Meng, Davin Ryanputera, Mengling Feng, Shalini Arulanadam:
An Emergency Medical Services Clinical Audit System driven by Named Entity Recognition from Deep Learning. - Brian Bockelman, Andrea Ceccanti, Ian Collier, Linda Cornwall, Thomas Dack, Jaroslav Guenther, Mario Lassnig, Maarten Litmaath, A. Paul Millar, Mischa Sallé, Hannah Short, Jeny Teheran, Romain Wartel:
WLCG Authorisation from X.509 to Tokens. - Christian Wischnewski:
The Disruptive Potential of FinTechs in the German Consumer Finance Sector - A Blue Ocean Scenario? - Stefano Cresci:
A Decade of Social Bot Detection. - Longbing Cao:
Data Science: A Comprehensive Overview. - Yang Liu, Zhihao Yi, Tianjian Chen:
Backdoor attacks and defenses in feature-partitioned collaborative learning. - Yiqi Gu, Chunmei Wang, Haizhao Yang:
Structure Probing Neural Network Deflation. - PAN IIT Survey on Online Education: A Report.
- Rafael Poyiadzi, Weisong Yang, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez, James Selwood, Niall Twomey:
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data. - Michael Falk:
Artificial Stupidity. - Katherine McLeod, Petros Spachos, Konstantinos N. Plataniotis:
Smartphone-based Wellness Assessment Using Mobile Environmental Sensor. - Rakshit Trivedi, Jiachen Yang, Hongyuan Zha:
GraphOpt: Learning Optimization Models of Graph Formation. - Sushma Venkatesh, Haoyu Zhang, Raghavendra Ramachandra, Kiran B. Raja, Naser Damer, Christoph Busch:
Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? - Vulnerability and Detection. - Jianing Yang, Yuying Zhu, Yongxin Wang, Ruitao Yi, Amir Zadeh, Louis-Philippe Morency:
What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets. - Yujia Li, Felix Gimeno, Pushmeet Kohli, Oriol Vinyals:
Strong Generalization and Efficiency in Neural Programs. - Christian Ariza-Porras, Valentin Kuznetsov, Federica Legger:
The CMS monitoring infrastructure and applications. - Uma Girish, Ran Raz, Wei Zhan:
Lower Bounds for XOR of Forrelations. - Reuben Dorent, Samuel Joutard, Jonathan Shapey, Sotirios Bisdas, Neil Kitchen, Robert Bradford, Shakeel R. Saeed, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Scribble-based Domain Adaptation via Co-segmentation. - Alexandr Andoni, Collin Burns, Yi Li, Sepideh Mahabadi, David P. Woodruff:
Streaming Complexity of SVMs. - Aditya Pal, Chantat Eksombatchai, Yitong Zhou, Bo Zhao, Charles Rosenberg, Jure Leskovec:
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest. - Parth Kothari, Sven Kreiss, Alexandre Alahi:
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective. - Rogan Morrow, Wei-Chen Chiu:
Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization. - Jie Shen:
One-Bit Compressed Sensing via One-Shot Hard Thresholding. - Ardavan Bidgoli, Manuel Ladron de Guevara, Cinnie Hsiung, Jean Oh, Eunsu Kang:
Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human Artists. - Francisco Noriega, Alejandro Díaz-Caro:
The Vectorial Lambda Calculus Revisited. - Cheah Huei Yoong, Venkata Reddy Palleti, Arlindo Silva, Christopher M. Poskitt:
Towards Systematically Deriving Defence Mechanisms from Functional Requirements of Cyber-Physical Systems. - Xingran Chen, Xinyu Liao, Shirin Saeedi Bidokhti:
Remote Estimation in Decentralized Random Access Channels. - Hiroshi Unno, Yuki Satake, Tachio Terauchi, Eric Koskinen:
Program Verification via Predicate Constraint Satisfiability Modulo Theories. - Shaun K. Kane, Richard E. Ladner, Clayton Lewis:
Promoting Strategic Research on Inclusive Access to Rich Online Content and Services. - Yiling Chen, Arpita Ghosh, Michael Kearns, Tim Roughgarden, Jennifer Wortman Vaughan:
Mathematical Foundations for Social Computing. - Badih Ghazi, Noah Golowich, Ravi Kumar, Pasin Manurangsi:
Near-tight closure bounds for Littlestone and threshold dimensions. - Victoria Dean, Shubham Tulsiani, Abhinav Gupta:
See, Hear, Explore: Curiosity via Audio-Visual Association. - Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik:
Long-term Human Motion Prediction with Scene Context. - Ioannis Mavromatis, Robert J. Piechocki, Mahesh Sooriyabandara, Arjun Parekh:
DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems. - Rajeev Alur, Richard G. Baraniuk, Rastislav Bodík, Ann W. Drobnis, Sumit Gulwani, Bjoern Hartmann, Yasmin B. Kafai, Jeff Karpicke, Ran Libeskind-Hadas, Debra J. Richardson, Armando Solar-Lezama, Candace Thille, Moshe Y. Vardi:
Computer-Aided Personalized Education. - Yuqing Li, Tao Luo, Nung Kwan Yip:
Towards an Understanding of Residual Networks Using Neural Tangent Hierarchy (NTH). - Alireza Sadeghi, Gang Wang, Meng Ma, Georgios B. Giannakis:
Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data. - Maria Inês Silva, Roberto Henriques:
TripMD: Driving patterns investigation via Motif Analysis. - Jianlin Xia:
Robust and effective eSIF preconditioning for general SPD matrices. - Ping-yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John P. Dickerson, Tom Goldstein:
Detection as Regression: Certified Object Detection by Median Smoothing. - Ran Ben Basat, Sivaramakrishnan Ramanathan, Yuliang Li, Gianni Antichi, Minlan Yu, Michael Mitzenmacher:
PINT: Probabilistic In-band Network Telemetry. - Peter V. Coveney, Roger R. Highfield:
When we can trust computers (and when we can't). - Mariah L. Schrum, Mark J. Connolly, Eric R. Cole, Mihir Ghetiya, Robert E. Gross, Matthew C. Gombolay:
Meta-active Learning in Probabilistically-Safe Optimization. - Sivapriya Mothilal Bhagavathy, Malcolm McCulloch:
Electric Vehicle transition in the UK. - Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer:
Resonator networks for factoring distributed representations of data structures. - Ahmed Touati, Pascal Vincent:
Sharp Analysis of Smoothed Bellman Error Embedding. - Matthew M. Botvinick, Jane X. Wang, Will Dabney, Kevin J. Miller, Zeb Kurth-Nelson:
Deep Reinforcement Learning and its Neuroscientific Implications. - George Christodoulou, Vasilis Gkatzelis, Mohamad Latifian, Alkmini Sgouritsa:
Resource-Aware Protocols for Network Cost-Sharing Games. - Yangyuanchen Liu, Cheng Cheng, Vahid Ziaei-Rad, Yongxing Shen:
A micromechanics-informed phase field model for brittle fracture accounting for the unilateral constraint. - Quercus Hernandez, Alberto Badías, David González, Francisco Chinesta, Elías Cueto:
Deep learning of thermodynamics-aware reduced-order models from data. - Ming Yin, Yu Bai, Yu-Xiang Wang:
Near Optimal Provable Uniform Convergence in Off-Policy Evaluation for Reinforcement Learning. - Karolina Zaczynska, Nils Feldhus, Robert Schwarzenberg, Aleksandra Gabryszak, Sebastian Möller:
Evaluating German Transformer Language Models with Syntactic Agreement Tests. - Mustafa Safa Özdayi, Murat Kantarcioglu, Yulia R. Gel:
Defending Against Backdoors in Federated Learning with Robust Learning Rate. - Kartikey Pant, Tanvi Dadu:
Cross-lingual Inductive Transfer to Detect Offensive Language. - Xin Wang:
The curious case of developmental BERTology: On sparsity, transfer learning, generalization and the brain. - Sungho Park, Dohyung Kim, Sunhee Hwang, Hyeran Byun:
README: REpresentation learning by fairness-Aware Disentangling MEthod. - Maciej Besta, Jens Domke, Marcel Schneider, Marek Konieczny, Salvatore Di Girolamo, Timo Schneider, Ankit Singla, Torsten Hoefler:
High-Performance Routing with Multipathing and Path Diversity in Supercomputers and Data Centers. - Huaiyi Huang, Yuqi Zhang, Qingqiu Huang, Zhengkui Guo, Ziwei Liu, Dahua Lin:
Placepedia: Comprehensive Place Understanding with Multi-Faceted Annotations. - Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal:
3D Shape Reconstruction from Vision and Touch. - Anpei Chen, Ruiyang Liu, Ling Xie, Jingyi Yu:
A Free Viewpoint Portrait Generator with Dynamic Styling. - Helin Wang, Yuexian Zou, Dading Chong:
Acoustic Scene Classification with Spectrogram Processing Strategies. - Anya E. Vostinar, Barbara Z. Johnson, Kevin Connors:
Artificial Life in Game Mods for Intuitive Evolution Education. - Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher:
Conditional gradient methods for stochastically constrained convex minimization. - Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang:
Personalized Federated Learning: An Attentive Collaboration Approach. - Cristian Rusu, Paul Irofti:
Efficient and Parallel Separable Dictionary Learning. - Yi Qin, Yanren Hou, Wenlong Pei:
A variable timestepping algorithm for the unsteady Stokes/Darcy model. - Tuan Manh Lai, Trung Bui, Nedim Lipka:
ISA: An Intelligent Shopping Assistant. - Vincent Liu, Adam White, Hengshuai Yao, Martha White:
Towards a practical measure of interference for reinforcement learning. - Saul A. Johnson, João F. Ferreira, Alexandra Mendes, Julien Cordry:
Skeptic: Automatic, Justified and Privacy-Preserving Password Composition Policy Selection. - Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Multi-Armed Bandits. - Yingxue Zhou, Zhiwei Steven Wu, Arindam Banerjee:
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification. - Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff:
Real-time Semantic Segmentation with Fast Attention. - Charles Welch, Allison Lahnala, Verónica Pérez-Rosas, Siqi Shen, Sarah Seraj, Larry An, Kenneth Resnicow, James W. Pennebaker, Rada Mihalcea:
Expressive Interviewing: A Conversational System for Coping with COVID-19. - Ikechukwu E. Onyenwe, Samuel Nwagbo, Njideka Mbeledogu, Ebele G. Onyedinma:
The impact of political party/candidate on the election results from a sentiment analysis perspective using #AnambraDecides2017 tweets. - Eduardo Espíndola-López, Yu Tang Xu:
Global exponential attitude tracking for spacecraft with gyro bias estimation. - Md. Zoheb Hassan, Md. Jahangir Hossain, Julian Cheng, Victor C. M. Leung:
Decentralized Content Dissemination in Fog Radio Access Network Using Unsupervised Learning Empowered Rate-Splitting Framework. - Huairui Chu, Mingyu Xiao, Zhe Zhang:
An Improved Upper Bound for SAT. - Justin A. Goodwin, Olivia M. Brown, Victoria Helus:
Fast Training of Deep Neural Networks Robust to Adversarial Perturbations. - Tai-Danae Bradley, Yiannis Vlassopoulos:
Language Modeling with Reduced Densities. - Junhua Zou, Zhisong Pan, Junyang Qiu, Yexin Duan, Xin Liu, Yu Pan:
Making Adversarial Examples More Transferable and Indistinguishable. - S. M. Usman Hashmi, Muntazir Hussain, S. M. Nashit Arshad, Kashif Inayat, Seong Oun Hwang:
Energy Efficient Cross Layer Time Synchronization in Cognitive Radio Networks. - Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai:
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Image Classification. - Erik Burman, Rebecca Durst, Miguel A. Fernández, Johnny Guzmán:
Fully discrete loosely coupled Robin-Robin scheme for incompressible fluid-structure interaction: stability and error analysis. - Shijie Geng, Peng Gao, Chiori Hori, Jonathan Le Roux, Anoop Cherian:
Spatio-Temporal Scene Graphs for Video Dialog. - Xiaofeng Zhang, Feng Chen, Cailing Wang, Songsong Wu, Ming Tao, Guoping Jiang:
SiENet: Siamese Expansion Network for Image Extrapolation. - Vaikkunth Mugunthan, Ravi Rahman, Lalana Kagal:
BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning. - Zerong Zheng, Tao Yu, Yebin Liu, Qionghai Dai:
PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction. - Toshiki Saitoh, Ryo Yoshinaka, Hans L. Bodlaender:
Fixed-Treewidth-Efficient Algorithms for Edge-Deletion to Intersection Graph Classes. - Zheng Li, Gang Tu, Guang Liu, Zhi-Qiang Zhan, Yi-Jian Liu:
Research on multi-dimensional end-to-end phrase recognition algorithm based on background knowledge. - Miika Hannula, Juha Kontinen, Martin Lück, Jonni Virtema:
On the Complexity of Horn and Krom Fragments of Second-Order Boolean Logic. - Gonglei Shi, Li Xiao, Yang Chen, S. Kevin Zhou:
Marginal loss and exclusion loss for partially supervised multi-organ segmentation. - Jiaxin Shi, Shulin Cao, Liangming Pan, Yutong Xiang, Lei Hou, Juanzi Li, Hanwang Zhang, Bin He:
KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base. - Eda Okur, Shachi H. Kumar, Saurav Sahay, Lama Nachman:
Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents. - Dooseop Choi, Seung-Jun Han, Kyoungwook Min, Jeongdan Choi:
PathGAN: Local Path Planning with Generative Adversarial Networks. - Sanchu Han, Yong He, Yin Ding:
Enable an Open Software Defined Mobility Ecosystem through VEC-OF. - Rubing Huang, Weifeng Sun, Yinyin Xu, Haibo Chen, Dave Towey, Xin Xia:
A Survey on Adaptive Random Testing. - Yunhan Zhao, Shu Kong, Charless C. Fowlkes:
When Perspective Comes for Free: Improving Depth Prediction with Camera Pose Encoding. - Qi Zhang, Antoni B. Chan:
Single-Frame based Deep View Synchronization for Unsynchronized Multi-Camera Surveillance. - Abdullah Khanfor, Amal Nammouchi, Hakim Ghazzai, Ye Yang, Mohammad Rafiqul Haider, Yehia Massoud:
Graph Neural Networks-based Clustering for Social Internet of Things. - Paul Diac:
Automatic Web Service Composition - Models, Complexity and Applications. - Masanari Kimura, Ryohei Izawa:
Density Fixing: Simple yet Effective Regularization Method based on the Class Prior. - Abdullah Khanfor, Raby Hamadi, Hakim Ghazzai, Ye Yang, Mohammad Rafiqul Haider, Yehia Massoud:
Computational Resource Allocation for Edge Computing in Social Internet-of-Things. - Weixian Yao, Yexuan Li, Weiye Lin, Tianhui Hu, Imran Chowdhury, Rahat Masood, Suranga Seneviratne:
Security Apps under the Looking Glass: An Empirical Analysis of Android Security Apps. - Clara Meister, Tim Vieira, Ryan Cotterell:
Best-First Beam Search. - Koji Maruhashi, Heewon Park, Rui Yamaguchi, Satoru Miyano:
Linear Tensor Projection Revealing Nonlinearity. - Yan Zhou, Zhiguo Wan, Zhangshuang Guan:
Open-Pub: A Transparent yet Privacy-Preserving Academic Publication System based on Blockchain. - Andrii Trelin, Ales Procházka:
Binary Stochastic Filtering: feature selection and beyond. - Zhaoxia Yin, Xiaomeng She, Jin Tang, Bin Luo:
Reversible data hiding in encrypted images based on pixel prediction and multi-MSB planes rearrangement. - Umair bin Waheed, Ahmed Shaheen, Mike Fehler, Ben D. Fulcher:
Winning with Simple Learning Models: Detecting Earthquakes in Groningen, the Netherlands. - Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi:
Non-parametric Models for Non-negative Functions. - David P. Woodruff, Amir Zandieh:
Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling. - Nicolas Turpault, Romain Serizel:
Training Sound Event Detection On A Heterogeneous Dataset. - Nicolas Turpault, Scott Wisdom, Hakan Erdogan, John R. Hershey, Romain Serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon:
Improving Sound Event Detection In Domestic Environments Using Sound Separation. - Loukas Georgiadis, Evangelos Kosinas:
Linear-Time Algorithms for Computing Twinless Strong Articulation Points and Related Problems. - Chukri Soueidi, Ali Kassem, Yliès Falcone:
BISM: Bytecode-Level Instrumentation for Software Monitoring. - Tommaso Cesari, Roberto Colomboni:
A Nearest Neighbor Characterization of Lebesgue Points in Metric Measure Spaces. - Minsoo Kang, Bohyung Han:
Operation-Aware Soft Channel Pruning using Differentiable Masks. - Pirmin Lemberger, Denis Oblin:
Reconciling Causality and Statistics. - Laura Aymerich-Franch, Iliana Ferrer:
The implementation of social robots during the COVID-19 pandemic. - Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan:
Remix: Rebalanced Mixup. - Georg Anegg, Haris Angelidakis, Adam Kurpisz, Rico Zenklusen:
A Technique for Obtaining True Approximations for k-Center with Covering Constraints. - Kaan Yilmaz, Neil Yorke-Smith:
Learning Efficient Search Approximation in Mixed Integer Branch and Bound. - Polina Rozenshtein, Giulia Preti, Aristides Gionis, Yannis Velegrakis:
Mining Dense Subgraphs with Similar Edges. - Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck:
IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic. - Fanchen Bu, Dong Eui Chang:
Double Prioritized State Recycled Experience Replay. - Jingjie Lv, Ruihu Li:
Algebraic structure of Fq-linear conjucyclic codes over finite field Fq2. - Xin-Yu Zhang, Hao-Lin Jia, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang:
Semi-Supervised Learning with Meta-Gradient. - Matthias Langer, Zhen He, Wenny Rahayu, Yanbo Xue:
Distributed Training of Deep Learning Models: A Taxonomic Perspective. - Nitish Mital, Cong Ling, Deniz Gündüz:
Secure Distributed Matrix Computation with Discrete Fourier Transform. - Qizhi Zhang, Lichun Li, Shan Yin, Juanjuan Sun:
MPC Protocol for G-module and its Application in Secure Compare and ReLU. - Amandeep Singh Bhatia, Shenggen Zheng:
A Quantum Finite Automata Approach to Modeling the Chemical Reactions. - Kun Li, Jing Yang, Nianhong Jiao, Jinsong Zhang, Yu-Kun Lai:
Adaptive 3D Face Reconstruction from a Single Image. - Johann Knechtel, Satwik Patnaik, Mohammed Nabeel, Mohammed Ashraf, Yogesh Singh Chauhan, Jörg Henkel, Ozgur Sinanoglu, Hussam Amrouch:
Power Side-Channel Attacks in Negative Capacitance Transistor (NCFET). - Yu Liu, Quanming Yao, Yong Li:
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases. - Haocheng Li, Satwik Patnaik, Abhrajit Sengupta, Haoyu Yang, Johann Knechtel, Bei Yu, Evangeline F. Y. Young, Ozgur Sinanoglu:
Attacking Split Manufacturing from a Deep Learning Perspective. - Nabeel Seedat:
MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts. - Kangquan Li, Chunlei Li, Tor Helleseth, Longjiang Qu:
A complete characterization of the APN property of a class of quadrinomials. - Chaoran Yang, Linbin Huang, Huanhai Xin, Ping Ju:
Placing Grid-Forming Converters to Enhance Small Signal Stability of PLL-Integrated Power Systems. - Pim Verschuuren, Serena Palazzo, Tom Powell, Steve Sutton, Alfred Pilgrim, Michele Faucci Giannelli:
Supervised machine learning techniques for data matching based on similarity metrics. - Daisuke Moriwaki, Yuta Hayakawa, Isshu Munemasa, Yuta Saito, Akira Matsui:
Unbiased Lift-based Bidding System. - Mehdi Imani, Maaruf Ali, Hamid Reza Arabnia:
Power-saving Asynchronous Quorum-based Protocols for Maximal Neighbour Discovery. - Simon Schierreich, Ondrej Suchý:
Waypoint Routing on Bounded Treewidth Graphs. - Naveed Ahmed, Gabriel R. Barrenechea, Erik Burman, Johnny Guzmán, Alexander Linke, Christian Merdon:
A pressure-robust discretization of Oseen's equation using stabilization in the vorticity equation. - Noa Garnett, Roy Uziel, Netalee Efrat, Dan Levi:
Synthetic-to-Real Domain Adaptation for Lane Detection. - Sylvain Chatel, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux:
Privacy and Integrity Preserving Computations with CRISP. - Christian Deppe, Vladimir S. Lebedev, Georg Maringer, Nikita Polyanskii:
Coding with Noiseless Feedback over the Z-channel. - Amartya Sanyal, Puneet K. Dokania, Varun Kanade, Philip H. S. Torr:
How benign is benign overfitting? - Deepak Maurya, Sivadurgaprasad Chinta, Abhishek Sivaram, Raghunathan Rengaswamy:
Incorporating prior knowledge about structural constraints in model identification. - Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu:
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion. - Michele Battagliola, Riccardo Longo, Alessio Meneghetti, Massimiliano Sala:
Threshold ECDSA with an Offline Recovery Party. - Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier:
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning. - Tianyi Zhang, Ikko Yamane, Nan Lu, Masashi Sugiyama:
A One-step Approach to Covariate Shift Adaptation. - Hao Jiang, Zhanchi Wang, Yusong Jin, Xiaotong Chen, Peijin Li, Yinghao Gan, Sen Lin, Xiaoping Chen:
Design, Control, and Applications of a Soft Robotic Arm. - Murat Bayraktar, Gökhan Muzaffer Güvensen:
General Framework and Novel Transceiver Architecture based on Hybrid Beamforming for NOMA in Massive MIMO Channels. - Youqing Wu, Wenjing Ma, Yinyin Peng, Ruiling Zhang, Zhaoxia Yin:
Reversible Data Hiding in Encrypted Images Based on Bit plane Compression of Prediction Error. - Xinrui Jia, Kshiteej Sheth, Ola Svensson:
Fair Colorful k-Center Clustering. - Andik Asmara:
Study on Computational Thinking as Problem-solving Skill: Comparison Based on Students Mindset in Engineering and Social Science. - Carlos Pachajoa, Christina Pacher, Markus Levonyak, Wilfried N. Gansterer:
Algorithm-Based Checkpoint-Recovery for the Conjugate Gradient Method. - Shakir Mohamed, Marie-Therese Png, William Isaac:
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence. - Siyu Wang, Yi Rong, Shiqing Fan, Zhen Zheng, Lansong Diao, Guoping Long, Jun Yang, Xiaoyong Liu, Wei Lin:
Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads. - Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham, Hieu Xuan Phan, Massimo Piccardi:
Learning Neural Textual Representations for Citation Recommendation. - Qian Wang, He Chen, Changhong Zhao, Yonghui Li, Petar Popovski, Branka Vucetic:
Optimizing Information Freshness via Multiuser Scheduling with Adaptive NOMA/OMA. - Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer, Frank Hutter:
Auto-Sklearn 2.0: The Next Generation. - Luca Parrinello, Panagiotis Dafnakis, Giovanni Bracco, Peiman Naseradinmousavi, Giuliana Mattiazzo, Amneet Pal Singh Bhalla:
An adaptive and energy-maximizing control of wave energy converters using extremum-seeking approach. - Ling-Hua Chang, Po-Ning Chen, Fady Alajaji, Yunghsiang S. Han:
Tightness of the Asymptotic Generalized Poor-Verdú Error Bound for the Memoryless Symmetric Channel. - Noureddine Lasla, Lina Alsahan, Mohamed Abdallah, Mohamed F. Younis:
Green-PoW: An Energy-Efficient Blockchain Proof-of-Work Consensus Algorithm. - Minsu Cho, Mohammadreza Soltani, Chinmay Hegde:
Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery. - Michela Paganini, Jessica Zosa Forde:
Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding. - Hashim Abu-gellban:
A Survey of Real-Time Social-Based Traffic Detection. - Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang:
On Learning Semantic Representations for Million-Scale Free-Hand Sketches. - Matteo Dunnhofer, Niki Martinel, Christian Micheloni:
A Distilled Model for Tracking and Tracker Fusion. - Sajedul Rahim Talukder, Md. Iftekharul Islam Sakib, Zahidur Talukder:
Giving Up Privacy For Security: A Survey On Privacy Trade-off During Pandemic Emergency. - Fabian Braesemann, Fabian Stephany:
Social media self-branding and success: Quantitative evidence from a model competition. - Patrick Wollgast, Robert Gawlik, Behrad Garmany, Benjamin Kollenda, Thorsten Holz:
Automated Multi-Architectural Discovery of CFI-Resistant Code Gadgets. - Xiao Yang, Dingcheng Yang, Yinpeng Dong, Wenjian Yu, Hang Su, Jun Zhu:
Delving into the Adversarial Robustness on Face Recognition. - Matthias Schopp, Peter Hillmann:
Agile Approach for IT Forensics Management. - Philip Bille, Inge Li Gørtz, Max Rishøj Pedersen, Eva Rotenberg, Teresa Anna Steiner:
String Indexing for Top-k Close Consecutive Occurrences. - Martin Aleksandrov, Toby Walsh:
Two Algorithms for Additive and Fair Division of Mixed Manna. - Metin Öztürk, Attai Ibrahim Abubakar, João Pedro Battistella Nadas, Rao Naveed Bin Rais, Sajjad Hussain, Muhammad Ali Imran:
Energy Optimization in Ultra-Dense Radio Access Networks via Traffic-Aware Cell Switching. - Giulio Lovisotto, Henry Turner, Ivo Sluganovic, Martin Strohmeier, Ivan Martinovic:
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations. - Tian Yu, Jing Huang, Qing Chang:
Mastering the working sequence in human-robot collaborative assembly based on reinforcement learning. - Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp:
Few-Shot One-Class Classification via Meta-Learning. - Grégory Etangsale, Marwan Fahs, Vincent Fontaine, Nalitiana Rajaonison:
Error estimates of hybridizable interior penalty methods using a variable penalty for highly anisotropic diffusion problems. - Simon Wimmer, Frédéric Herbreteau, Jaco van de Pol:
Certifying Emptiness of Timed Büchi Automata. - Francisco Carpio, Wolfgang Bziuk, Admela Jukan:
On Optimal Placement of Hybrid Service Function Chains (SFCs) of Virtual Machines and Containers in a Generic Edge-Cloud Continuum. - Geoff Ward, Sean Kamkar, Jay Budzik:
An exploration of the influence of path choice in game-theoretic attribution algorithms. - Carl Leake, Hunter Johnston, Daniele Mortari:
The Multivariate Theory of Functional Connections: Theory, Proofs, and Application in Partial Differential Equations. - Jian Liang, Dapeng Hu, Jiashi Feng:
Combating Domain Shift with Self-Taught Labeling. - Angelo Porrello, Luca Bergamini, Simone Calderara:
Robust Re-Identification by Multiple Views Knowledge Distillation. - Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. - Dylan Grosz, Patricia Conde Céspedes:
Automatic Detection of Sexist Statements Commonly Used at the Workplace. - Alan F. Smeaton, Hyowon Lee, Niamh Morris, David Hanley:
Using Online Implicit Association Tests in Opinion Polling. - Affan Shoukat, Seyed M. Moghadas:
Agent-Based Modelling: An Overview with Application to Disease Dynamics. - Shreya Ghosh, Soumya K. Ghosh:
Mobility driven Cloud-Fog-Edge Framework for Location-aware Services: A Comprehensive Review. - Yusheng Xiang, Hongzhe Wang, Tianqing Su, Ruoyu Li, Christine Brach, Samuel S. Mao, Marcus Geimer:
KIT MOMA: A Mobile Machines Dataset. - Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas:
Stochastic Hamiltonian Gradient Methods for Smooth Games. - Thomas Spooner, Rahul Savani:
A Natural Actor-Critic Algorithm with Downside Risk Constraints. - María Andrea Cruz Blandón, Okko Räsänen:
Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets. - Asa Cooper Stickland, Iain Murray:
Diverse Ensembles Improve Calibration. - Altan Cakir, Yousef Alkhanafseh, Esra Karabiyik, Erhan Kurubas, Rabia Burcu Bunyak, Cenk Anil Bahcevan:
Cloud Based Big Data DNS Analytics at Turknet. - Yuhuai Wu, Honghua Dong, Roger B. Grosse, Jimmy Ba:
The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning. - Davide Castelnovo, Marino Miculan:
Closure hyperdoctrines, with paths. - Shaojie Tang:
Linear-Time Algorithms for Adaptive Submodular Maximization. - Samuel Glass, Simeon E. Spasov, Pietro Liò:
RicciNets: Curvature-guided Pruning of High-performance Neural Networks Using Ricci Flow. - Jonas Israel, Leon Sering:
The Impact of Spillback on the Price of Anarchy for Flows Over Time. - Laura Jarin-Lipschitz, Rebecca Li, Ty Nguyen, Vijay Kumar, Nikolai Matni:
Evaluating Robust, Perception Based Control with Quadrotors. - Leila Amgoud, Srdjan Vesic:
Dung's semantics satisfy attack removal monotonicity. - Pedro Carvalho, Nuno Lourenço, Filipe Assunção, Penousal Machado:
AutoLR: An Evolutionary Approach to Learning Rate Policies. - Alexei Bazavov:
Commutator-free Lie group methods with minimum storage requirements and reuse of exponentials. - Xingyi Yang, Xuehai He, Yuxiao Liang, Yue Yang, Shanghang Zhang, Pengtao Xie:
Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms. - Myriam Bontonou, Louis Béthune, Vincent Gripon:
Predicting the Accuracy of a Few-Shot Classifier. - Zaid Alyafeai, Maged Saeed AlShaibani, Irfan Ahmad:
A Survey on Transfer Learning in Natural Language Processing. - Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen, Li Liu:
Dynamic Group Convolution for Accelerating Convolutional Neural Networks. - Mohammadmehdi Ataei, Markus Bussmann, Vahid Shaayegan, Franco Costa, Sejin Han, Chul B. Park:
NPLIC: A Machine Learning Approach to Piecewise Linear Interface Construction. - Ka Chun Lam, Francisco Pereira, Maryam Vaziri-Pashkam, Kristin Woodard, Emalie McMahon:
Understanding Object Affordances Through Verb Usage Patterns. - Mehmet Aydar, Ozge Bozal, Furkan Özbay:
Neural relation extraction: a survey. - Nazakat Ali:
Chatbot: A Conversational Agent employed with Named Entity Recognition Model using Artificial Neural Network. - Subramaniam Kazhuparambil, Abhishek Kaushik:
Cooking Is All About People: Comment Classification On Cookery Channels Using BERT and Classification Models (Malayalam-English Mix-Code). - Tianshi Cao, Chinwei Huang, David Yu-Tung Hui, Joseph Paul Cohen:
A Benchmark of Medical Out of Distribution Detection. - Zheyuan Xu, Hongche Yin, Jian Yao:
Deformable spatial propagation network for depth completion. - Felipe de Castro Belém, Silvio Jamil Ferzoli Guimarães, Alexandre Xavier Falcão:
Superpixel Segmentation using Dynamic and Iterative Spanning Forest. - Tao Wang, Yuanzheng Cai, Lingyu Liang, Dongyi Ye:
A Multi-Level Approach to Waste Object Segmentation. - Gerard Casas Saez:
Social Media Analysis for Crisis Informatics in the Cloud. - Yuhui Yuan, Jingyi Xie, Xilin Chen, Jingdong Wang:
SegFix: Model-Agnostic Boundary Refinement for Segmentation. - Serim Ryou, Michael R. Maser, Alexander Y. Cui, Travis J. DeLano, Yisong Yue, Sarah E. Reisman:
Graph Neural Networks for the Prediction of Substrate-Specific Organic Reaction Conditions. - Kürsat Tekbiyik, Günes Karabulut-Kurt, Ali Riza Ekti, Ali Görçin, Halim Yanikomeroglu:
Reconfigurable Intelligent Surface Empowered Terahertz Communication for LEO Satellite Networks. - Tianshu Yang, Ye Guo, Lirong Deng, Hongbin Sun, WenChuan Wu:
A Quadratic Convex Approximation of Optimal Power Flow in Distribution System with Application in Loss Allocation. - Saiful A. Mojumder, Yifan Sun, Leila Delshadtehrani, Yenai Ma, Trinayan Baruah, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi:
HALCONE : A Hardware-Level Timestamp-based Cache Coherence Scheme for Multi-GPU systems. - Mariia Drozdova, Anton Broilovskiy, Andrey Ustyuzhanin, Denys Malyshev:
A study of Neural networks point source extraction on simulated Fermi/LAT Telescope images. - Shreya Singal, Tanishq Goel, Shivang Chopra, Sonika Dahiya:
Open Domain Suggestion Mining Leveraging Fine-Grained Analysis. - Die Zhang, Huilin Zhou, Xiaoyi Bao, Da Huo, Ruizhao Chen, Xu Cheng, Hao Zhang, Mengyue Wu, Quanshi Zhang:
Interpreting Hierarchical Linguistic Interactions in DNNs. - Wilson Estécio Marcílio-Jr, Danilo Medeiros Eler, Rogério Eduardo Garcia, Ronaldo C. M. Correia, Rafael M. B. Rodrigues:
Visual analytics of COVID-19 dissemination in São Paulo state, Brazil. - Gustavo Plensack, Paulo Finardi:
Normalizador Neural de Datas e Endereços. - Aref Jafari, Ali Ghodsi:
Segmentation Approach for Coreference Resolution Task. - Akhilesh Kumar Gangwar, Vadlamani Ravi:
A Novel BGCapsule Network for Text Classification. - Aditya Sharma, Alex Daniels:
Tweets Sentiment Analysis via Word Embeddings and Machine Learning Techniques. - Oliver Roesler:
Unsupervised Online Grounding of Natural Language during Human-Robot Interactions. - Nicklas Hansen, Yu Sun, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Self-Supervised Policy Adaptation during Deployment. - Hugo Proença:
The UU-Net: Reversible Face De-Identification for Visual Surveillance Video Footage. - Sophia Bano, Francisco Vasconcelos, Luke M. Shepherd, Emmanuel B. Vander Poorten, Tom Vercauteren, Sébastien Ourselin, Anna L. David, Jan Deprest, Danail Stoyanov:
Deep Placental Vessel Segmentation for Fetoscopic Mosaicking. - Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen:
Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles. - Sagar Uprety, Dimitris Gkoumas, Dawei Song:
A Survey of Quantum Theory Inspired Approaches to Information Retrieval. - Dawid Przyczyna, Maria Szacilowska, Marek Przybylski, Marcin Strzelecki, Konrad Szacilowski:
Information, communication and music: Recognition of musical dissonance and consonance in a simple reservoir computing system. - Daniel Sullivan, Carlos Caminha, Victor Dantas, Elizabeth Furtado, Vasco Furtado, Virgílio A. F. Almeida:
Understanding the impact of the alphabetical ordering of names in user interfaces: a gender bias analysis. - Shahar Dobzinski, Ariel Shaulker:
Improved Lower Bounds for Truthful Scheduling. - Andreea Birhala, Catalin Nicolae Ristea, Anamaria Radoi, Liviu-Cristian Dutu:
Temporal aggregation of audio-visual modalities for emotion recognition. - M. A. Awal, Iqbal Husain, Md Rashed Hassan Bipu, Oscar Andreas Montes, Fei Teng, Hao Feng, Mehnaz Khan, Srdjan M. Lukic:
Modular Medium Voltage AC to Low Voltage DC Converter for Extreme Fast Charging Applications. - Lillian Clark, Charles Andre, Joseph Galante, Bhaskar Krishnamachari, Konstantinos Psounis:
TEAM: Trilateration for Exploration and Mapping with Robotic Networks. - Joshua J. Daymude, Andréa W. Richa, Jamison Weber:
Bio-Inspired Energy Distribution for Programmable Matter. - Simon Flandin, Deli Salini, Artémis Drakos, Germain Poizat:
Training design fostering the emergence of new meanings toward unprecedented and critical events. - Azmi Can Özgen, Hazim Kemal Ekenel:
Words as Art Materials: Generating Paintings with Sequential GANs. - Baris Özcan, Furkan Kinli, Furkan Kiraç:
Quaternion Capsule Networks. - Liwei Song, Vikash Sehwag, Arjun Nitin Bhagoji, Prateek Mittal:
A Critical Evaluation of Open-World Machine Learning. - Paula Gradu, Elad Hazan, Edgar Minasyan:
Adaptive Regret for Control of Time-Varying Dynamics. - Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji:
Hierarchical Graph Matching Networks for Deep Graph Similarity Learning. - Pai Chet Ng, Petros Spachos, Stefano Gregori, Konstantinos N. Plataniotis:
Epidemic Exposure Notification with Smartwatch: A Proximity-Based Privacy-Preserving Approach. - Weifan Zhang, Vishnu S. Chipade, Dimitra Panagou:
Herding an Adversarial Swarm in Three-dimensional Spaces. - Vishnu S. Chipade, Dimitra Panagou:
Multi-Swarm Herding: Protecting against Adversarial Swarms. - F. O. Bunnin, Aditi Shenvi, James Q. Smith:
Network Modelling of Criminal Collaborations with Dynamic Bayesian Steady Evolutions. - Suman Banerjee, Bithika Pal:
An Efficient Updation Approach for Enumerating Maximal (Δ, γ)-Cliques of a Temporal Network. - Kevin Trebing, Siamak Mehrkanoon:
SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture. - Vatsal Goel, Mohit Chandak, Ashish Anand, Prithwijit Guha:
IQ-VQA: Intelligent Visual Question Answering. - Baber Khalid, Malihe Alikhani, Michael Fellner, Brian McMahan, Matthew Stone:
Discourse Coherence, Reference Grounding and Goal Oriented Dialogue. - Lucinda Hadley, Ioannis Chatzigeorgiou:
Low Complexity Optimization of the Asymptotic Spectral Efficiency in Massive MIMO NOMA. - Xianping Du, Hongyi Xu, Feng Zhu:
Understanding the effect of hyperparameter optimization on machine learning models for structure design problems. - Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, Milind Tambe:
Collapsing Bandits and Their Application to Public Health Interventions. - Akshunna S. Dogra:
A blueprint for building efficient Neural Network Differential Equation Solvers. - Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter:
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction. - Matthew L. Leavitt, Ari S. Morcos:
On the relationship between class selectivity, dimensionality, and robustness. - Tanusree Sharma, Masooda N. Bashir:
Are PETs (Privacy Enhancing Technologies) Giving Protection for Smartphones? - A Case Study. - Mari Kawakatsu, Philip S. Chodrow, Nicole Eikmeier, Daniel B. Larremore:
Emergence of Hierarchy in Networked Endorsement Dynamics. - Daniil Pakhomov, Nassir Navab:
Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery. - Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer:
T-REx: Table Repair Explanations. - Kalina Jasinska-Kobus, Marek Wydmuch, Devanathan Thiruvenkatachari, Krzysztof Dembczynski:
Online probabilistic label trees. - Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Helen Li, Yiran Chen:
NASGEM: Neural Architecture Search via Graph Embedding Method. - Naama Boer, Daniel Deutch, Nave Frost, Tova Milo:
Just in Time: Personal Temporal Insights for Altering Model Decisions. - Daniel Deutch, Nave Frost, Amir Gilad:
Explaining Natural Language Query Results. - Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Dave Pugmire, Nicholas Thompson, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky:
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. - Viet Anh Nguyen, Nian Si, Jose H. Blanchet:
Robust Bayesian Classification Using an Optimistic Score Ratio. - Ademola Oladosu, Tony Xu, Philip Ekfeldt, Brian A. Kelly, Miles D. Cranmer, Shirley Ho, Adrian M. Price-Whelan, Gabriella Contardo:
Meta-Learning One-Class Classification with DeepSets: Application in the Milky Way. - Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen:
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks. - Manos N. Kamarianakis, George Papagiannakis:
Deform, Cut and Tear a skinned model using Conformal Geometric Algebra. - Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin:
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks. - Tobias Leibner, Mario Ohlberger:
A new coordinate-transformed discretization method for minimum entropy moment approximations of linear kinetic equations. - Guilherme de C. M. Gomes, Vinícius Fernandes dos Santos, Murilo V. G. da Silva, Jayme Luiz Szwarcfiter:
FPT and kernelization algorithms for the k-in-a-tree problem. - Rana Abou Khamis, Ashraf Matrawy:
Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSs. - Nicholas Kluge Corrêa:
The Automation of Acceleration: AI and the Future of Society. - Mingliang Chen, Aria Shahverdi, Sarah Anderson, Se Yong Park, Justin Zhang, Dana Dachman-Soled, Kristin E. Lauter, Min Wu:
Transparency Tools for Fairness in AI (Luskin). - Noman Haider, Muhammad Zeeshan Baig, Muhammad Imran:
Artificial Intelligence and Machine Learning in 5G Network Security: Opportunities, advantages, and future research trends. - Dominic Kao, Christos Mousas, Alejandra J. Magana, D. Fox Harrell, Rabindra A. Ratan, Edward F. Melcer, Brett Sherrick, Paul Parsons, Dmitri A. Gusev:
Hack.VR: A Programming Game in Virtual Reality. - Shirin Joshi, Sulabh Kumra, Ferat Sahin:
Robotic Grasping using Deep Reinforcement Learning. - Hongbo Yin:
Efficient Trajectory Compression and Queries. - Jacob Kelly, Jesse Bettencourt, Matthew James Johnson, David Duvenaud:
Learning Differential Equations that are Easy to Solve. - Daniil Pakhomov, Wei Shen, Nassir Navab:
Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks. - Dustin S. Stoltz, Marshall A. Taylor:
Cultural Cartography with Word Embeddings. - Muhammad Syifa'ul Mufid, Dieky Adzkiya, Alessandro Abate:
Symbolic Reachability Analysis of High Dimensional Max-Plus Linear Systems. - Gabriel L. Duarte, Hiroshi Eto, Tesshu Hanaka, Yasuaki Kobayashi, Yusuke Kobayashi, Daniel Lokshtanov, Lehilton L. C. Pedrosa, Rafael C. S. Schouery, Uéverton S. Souza:
Computing the Largest Bond and the Maximum Connected Cut of a Graph. - Rui Zhao, Tianshan Liu, Jun Xiao, Daniel Pak-Kong Lun, Kin-Man Lam:
Deep Multi-task Learning for Facial Expression Recognition and Synthesis Based on Selective Feature Sharing. - Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta:
Aligning Videos in Space and Time. - Guanyu Gao, Yonggang Wen, Xiaohu Wu, Ran Wang:
Distributed Energy Trading and Scheduling among Microgrids via Multiagent Reinforcement Learning. - Jimin Wang, Yingjie Hu:
Enhancing spatial and textual analysis with EUPEG: an extensible and unified platform for evaluating geoparsers. - Saeid Asgari Taghanaki, Kaveh Hassani, Pradeep Kumar Jayaraman, Amir Hosein Khas Ahmadi, Tonya Custis:
PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing. - Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cécile Paris:
Less is More: Rejecting Unreliable Reviews for Product Question Answering. - Fartash Faghri, David Duvenaud, David J. Fleet, Jimmy Ba:
A Study of Gradient Variance in Deep Learning. - Jia Zhao:
Discovering Phase Field Models from Image Data with the Pseudo-spectral Physics Informed Neural Networks. - Jianrong Wang, Xiaosheng Hu, Li Liu, Wei Liu, Mei Yu, Tianyi Xu:
Attention-based Residual Speech Portrait Model for Speech to Face Generation. - Junming Zhang, Weijia Chen, Yuping Wang, Ram Vasudevan, Matthew Johnson-Roberson:
Point Set Voting for Partial Point Cloud Analysis. - Kunyuan Li, Jun Zhang, Rui Sun, Xudong Zhang, Jun Gao:
EPI-based Oriented Relation Networks for Light Field Depth Estimation. - Takanori Fujiwara, Tzu-Ping Liu:
Contrastive Multiple Correspondence Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups. - Colby L. Wight, Jia Zhao:
Solving Allen-Cahn and Cahn-Hilliard Equations using the Adaptive Physics Informed Neural Networks. - Sungkwon An, Hyungmin Roh, Myungjoo Kang:
Long-Term Residual Blending Network for Blur Invariant Single Image Blind deblurring. - Mengye Ren, Michael L. Iuzzolino, Michael C. Mozer, Richard S. Zemel:
Wandering Within a World: Online Contextualized Few-Shot Learning. - Yifan Yuan, Mohammad Alian, Yipeng Wang, Ilia Kurakin, Ren Wang, Tsung-Yuan Charlie Tai, Nam Sung Kim:
IOCA: High-Speed I/O-Aware LLC Management for Network-Centric Multi-Tenant Platform. - Tadashi Ogura, Aly Magassouba, Komei Sugiura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Hisashi Kawai:
Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network. - Jizu Huang, Chao Yang, Ying Wei:
Parallel energy-stable solver for a coupled Allen-Cahn and Cahn-Hilliard system. - Joel Ye, Dhruv Batra, Erik Wijmans, Abhishek Das:
Auxiliary Tasks Speed Up Learning PointGoal Navigation. - Parag Tarwadi, Yuta Shiraki, Ori Ganoni, Shanghai Wei, Ho Seok Ahn, Bruce A. MacDonald:
Design and Development of a Robotic Vehicle for Shallow-Water Marine Inspections. - Yanjun Han, Zhengyuan Zhou, Aaron Flores, Erik Ordentlich, Tsachy Weissman:
Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions. - Mesbah Uddin, Md. Badruddoja Majumder, Md Sakib Hasan, Garrett S. Rose:
A Secure Back-up and Restore for Resource-Constrained IoT based on Nanotechnology. - Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad Ali Balafar, Meysam Asgari-Chenaghlu, Ali-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Mehrdad Ranjbar-Khadivi, Zoleikha Jahanbakhsh-Nagadeh, Elnaz Zafarani-Moattar, Taymaz Rahkar-Farshi:
Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling. - Mohammed S. Al-Abiad, Md. Jahangir Hossain:
Completion Time Minimization in Fog-RANs using D2D Communications and Rate-Aware Network Coding. - Dongjae Kim, Jeehang Lee, Jae Hoon Shin, Minsu Abel Yang, Sang Wan Lee:
On the Reliability and Generalizability of Brain-inspired Reinforcement Learning Algorithms. - Hibiki Taguchi, Xin Liu, Tsuyoshi Murata:
Graph Convolutional Networks for Graphs Containing Missing Features. - Dazhen Deng, Yihong Wu, Xinhuan Shu, Mengye Xu, Jiang Wu, Siwei Fu, Yingcai Wu:
VisImages: A Large-scale, High-quality Image Corpus in Visualization Publications. - Kaikai Zheng, Dawei Shi, Ling Shi:
Learning Hidden Markov Models for Linear Gaussian Systems with Applications to Event-based State Estimation. - Kwot Sin Lee, Ngoc-Trung Tran, Ngai-Man Cheung:
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning. - Hemang Chawla, Matti Jukola, Elahe Arani, Bahram Zonooz:
Monocular Vision based Crowdsourced 3D Traffic Sign Positioning with Unknown Camera Intrinsics and Distortion Coefficients. - Haoya Li, Yuwei Fan, Lexing Ying:
A Simple Multiscale Method for Mean Field Games. - Yuanzhi Li, Tengyu Ma, Hongyang R. Zhang:
Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTK. - Linda Nanan Vallée, Christophe Lohr, Sao Mai Nguyen, Ioannis Kanellos, Olivier Asseu:
Building an Automated Gesture Imitation Game for Teenagers with ASD. - Shengping Lv, Jinsong Hu, Youjia Chen, Zhimeng Xu, Zhizhang Chen:
Establishing Secrecy Region for Directional Modulation Scheme with Random Frequency Diverse Array. - Geoffrey Goodell:
Serverless Electronic Mail. - Gregory Palmer, Mark Green, Emma Boyland, Yales Stefano Rios Vasconcelos, Rahul Savani, Alex Singleton:
A deep learning approach to identify unhealthy advertisements in street view images. - Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang:
Concept Bottleneck Models. - Lei Zhang, Wei Bai, Shize Guo, Shiming Xia, Hongmei Li, Zhisong Pan:
Weakness Analysis of Cyberspace Configuration Based on Reinforcement Learning. - Kui Du, Xiaohui Sun:
Stochastic gradient descent for linear least squares problems with partially observed data. - Hossein Hosseini, Sungrack Yun, Hyunsin Park, Christos Louizos, Joseph Soriaga, Max Welling:
Federated Learning of User Authentication Models. - Markus Hecher, Jorge Fandinno:
Treewidth-Aware Complexity in ASP: Not all Positive Cycles are Equally Hard. - Yuichi Nishiwaki, Toshiya Asai:
Logic of computational semi-effects and categorical gluing for equivariant functors. - Alberto Barbado, Víctor Fresno, Angeles Manjarrés Riesco, Salvador Ros:
DISCO PAL: Diachronic Spanish Sonnet Corpus with Psychological and Affective Labels. - Ali Basirat, Christian Hardmeier, Joakim Nivre:
Principal Word Vectors. - Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin:
Maximum-and-Concatenation Networks. - Christoffer Löffler, Karthik Ayyalasomayajula, Sascha Riechel, Christopher Mutschler:
IALE: Imitating Active Learner Ensembles. - Mohbat Tharani, Abdul Wahab Amin, Mohammad Maaz, Murtaza Taj:
Attention Neural Network for Trash Detection on Water Channels. - Mirco Mutti, Lorenzo Pratissoli, Marcello Restelli:
A Policy Gradient Method for Task-Agnostic Exploration. - Gunarto Sindoro Njoo, Baihua Zheng, Kuo-Wei Hsu, Wen-Chih Peng:
Probabilistic Value Selection for Space Efficient Model. - Chaoping Tu, Yin Zhao, Longjun Cai:
ESA-ReID: Entropy-Based Semantic Feature Alignment for Person re-ID. - Prem Raj, Vinay P. Namboodiri, Laxmidhar Behera:
Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing. - Linpu Fang, Xingyan Liu, Li Liu, Hang Xu, Wenxiong Kang:
JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image. - Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Learning to Teach with Deep Interactions. - Changxu Cheng, Wuheng Xu, Xiang Bai, Bin Feng, Wenyu Liu:
Maximum Entropy Regularization and Chinese Text Recognition. - Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Björn M. Eskofier, Andreas K. Maier:
Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee. - Timothy Callemein, Wiebe Van Ranst, Toon Goedemé:
The autonomous hidden camera crew. - Emre Çakir, Konstantinos Drossos, Tuomas Virtanen:
Multi-task Regularization Based on Infrequent Classes for Audio Captioning. - Vihari Piratla, Shiv Shankar:
Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint. - Charu Agarwal, Rushikesh K. Joshi:
Automation Strategies for Unconstrained Crossword Puzzle Generation. - Steven Puttemans, Timothy Callemein, Toon Goedemé:
Building Robust Industrial Applicable Object Detection Models Using Transfer Learning and Single Pass Deep Learning Architectures. - Xiangru Tang, Haoyuan Wang, Xiang Pan, Jiyang Qi:
Multi-Granularity Modularized Network for Abstract Visual Reasoning. - Timothy Callemein, Kristof Van Beeck, Geert Brône, Toon Goedemé:
Automated analysis of eye-tracker-based human-human interaction studies. - Piyush Kumar Sharma, Shashwat Chaudhary, Nikhil Hassija, Mukulika Maity, Sambuddho Chakravarty:
The Road Not Taken: Re-thinking the Feasibility of Voice Calling Over Tor. - Francesco Grassi, Giorgio Manganini, Michele Garraffa, Laura Mainini:
Resource Aware Multifidelity Active Learning for Efficient Optimization. - Xiangming Meng:
Training Restricted Boltzmann Machines with Binary Synapses using the Bayesian Learning Rule. - Radoslaw Kotaba, Carles Navarro i Manchon, Tommaso Balercia, Petar Popovski:
How URLLC can Benefit from NOMA-based Retransmissions. - Timothy Callemein, Kristof Van Beeck, Toon Goedemé:
How low can you go? Privacy-preserving people detection with an omni-directional camera. - Lorenzo Federici, Boris Benedikter, Alessandro Zavoli:
EOS: a Parallel, Self-Adaptive, Multi-Population Evolutionary Algorithm for Constrained Global Optimization. - Ali Basirat, Joakim Nivre:
Greedy Transition-Based Dependency Parsing with Discrete and Continuous Supertag Features. - Peng Wu, Jing Liu, Yujia Shi, Yujia Sun, Fangtao Shao, Zhaoyang Wu, Zhiwei Yang:
Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision. - Sebastiano Battiato, Alessandro Ortis, Francesca Trenta, Lorenzo Ascari, Mara Politi, Consolata Siniscalco:
Pollen13K: A Large Scale Microscope Pollen Grain Image Dataset. - Marco Maggesi, Massimo Nocentini:
Kanren Light: A Dynamically Semi-Certified Interactive Logic Programming System. - Abhishek Gupta, Erick Galinkin:
Green Lighting ML: Confidentiality, Integrity, and Availability of Machine Learning Systems in Deployment. - Anastasija Nikiforova, Zane Bicevska:
Application of LEAN Principles to Improve Business Processes: a Case Study in Latvian IT Company. - Anastasija Nikiforova:
Open Data Quality Evaluation: A Comparative Analysis of Open Data in Latvia. - Guozhen Rong, Wenjun Li, Jianxin Wang, Yongjie Yang:
Cycle Extendability of Hamiltonian Strongly Chordal Graphs. - Michele Annese, Miguel A. Fernández, Lucia Gastaldi:
Splitting schemes for a Lagrange multiplier formulation of FSI with immersed thin-walled structure: stability and convergence analysis. - Ijaz Ahmad, Shahriar Shahabuddin, Tanesh Kumar, Erkki Harjula, Marcus Meisel, Markku J. Juntti, Thilo Sauter, Mika Ylianttila:
Challenges of AI in Wireless Networks for IoT. - Oliver Giudice, Dario Allegra, Francesco Guarnera, Filippo Stanco, Sebastiano Battiato:
Animated GIF optimization by adaptive color local table management. - Anyue Wang, Lei Lei, Eva Lagunas, Ana I. Pérez-Neira, Symeon Chatzinotas, Björn E. Ottersten:
NOMA-Enabled Multi-Beam Satellite Systems: Joint Optimization to Overcome Offered-Requested Data Mismatches. - Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryosuke Yamanishi, Takahiro Fukumori, Yoichi Yamashita:
RWCP-SSD-Onomatopoeia: Onomatopoeic Word Dataset for Environmental Sound Synthesis. - Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid:
EVO-RL: Evolutionary-Driven Reinforcement Learning. - Massimo Cairo, Shahbaz Khan, Romeo Rizzi, Sebastian S. Schmidt, Alexandru I. Tomescu:
Safety in s-t Paths, Trails and Walks. - Ofir Lindenbaum, Uri Shaham, Jonathan Svirsky, Erez Peterfreund, Yuval Kluger:
Let the Data Choose its Features: Differentiable Unsupervised Feature Selection. - Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan, Arno Solin:
Fast Variational Learning in State-Space Gaussian Process Models. - Aditya A. Ramesh, Paulo E. Rauber, Jürgen Schmidhuber:
Recurrent Neural-Linear Posterior Sampling for Non-Stationary Contextual Bandits. - Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani:
Generalized Many-Way Few-Shot Video Classification. - Manas Gupta, Siddharth Aravindan, Aleksandra Kalisz, Vijay Chandrasekhar, Jie Lin:
Learning to Prune Deep Neural Networks via Reinforcement Learning. - Ingo Gühring, Mones Raslan, Gitta Kutyniok:
Expressivity of Deep Neural Networks. - Lynsay A. Shepherd, Stefano De Paoli, Jim Conacher:
Human-Computer Interaction Considerations When Developing Cyber Ranges. - Daniel Bosk, Yérom-David Bromberg, Sonja Buchegger, Adrien Luxey, François Taïani:
Spores: Stateless Predictive Onion Routing for E-Squads. - Han Zhang, Jialin Liu, Xin Yao:
A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem. - João F. Ferreira, Pedro Cruz, Thomas Durieux, Rui Abreu:
SmartBugs: A Framework to Analyze Solidity Smart Contracts. - Aleksandra Kalinowska, Kyra Rudy, Millicent Schlafly, Kathleen Fitzsimons, Julius P. A. Dewald, Todd D. Murphey:
Shoulder abduction loading affects motor coordination in individuals with chronic stroke, informing targeted rehabilitation. - Ali Lotfi-Rezaabad, Sriram Vishwanath:
Long Short-Term Memory Spiking Networks and Their Applications. - Igor André Pegoraro Santana, Marcos Aurélio Domingues:
A Systematic Review on Context-Aware Recommender Systems using Deep Learning and Embeddings. - Alexandru-Sabin Bana, Luca Sanguinetti, Elisabeth de Carvalho, Petar Popovski:
Outage Analysis of Downlink URLLC in Massive MIMO systems with Power Allocation. - Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu:
Neural Architecture Search with GBDT. - Wei Chen, Faez Ahmed:
MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement. - David Schlangen:
Targeting the Benchmark: On Methodology in Current Natural Language Processing Research. - Xiaoyang Guo, Aditi Basu Bal, Tom Needham, Anuj Srivastava:
Statistical shape analysis of brain arterial networks (BAN). - Mehrdad Shafiei Dizaji:
Training of Deep Learning Neuro-Skin Neural Network. - Sebastian Bordt, Ulrike von Luxburg:
When Humans and Machines Make Joint Decisions: A Non-Symmetric Bandit Model. - Laura Rieger, Rasmus M. Th. Høegh, Lars Kai Hansen:
Client Adaptation improves Federated Learning with Simulated Non-IID Clients. - Massimiliano Mattetti, Akihiro Kishimoto, Adi Botea, Elizabeth Daly, Inge Vejsbjerg, Bei Chen, Öznur Alkan:
Client Network: An Interactive Model for Predicting New Clients. - Tapajit Dey, Audris Mockus:
Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem. - Fabrice Muhlenbach, Long Nguyen Phuoc, Isabelle Sayn:
Predicting Court Decisions for Alimony: Avoiding Extra-legal Factors in Decision made by Judges and Not Understandable AI Models. - Apoorv Vyas, Angelos Katharopoulos, François Fleuret:
Fast Transformers with Clustered Attention. - Disheng Tang, Wenbo Du, Louis M. Shekhtman, Yijie Wang, Shlomo Havlin, Xianbin Cao, Gang Yan:
Predictability of real temporal networks. - Nan Gao, Wei Shao, Mohammad Saiedur Rahaman, Flora D. Salim:
n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild. - Qitian Wu, Hengrui Zhang, Hongyuan Zha:
Inductive Relational Matrix Completion. - Bernadette Charron-Bost:
Geometric Bounds for Convergence Rates of Averaging Algorithms. - Edmond Lezmi, Jules Roche, Thierry Roncalli, Jiali Xu:
Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks. - Gianluca Amato, Marco Maggesi, Maurizio Parton, Cosimo Perini Brogi:
Universal Algebra in UniMath. - Jim Mainprice, Nathan D. Ratliff, Marc Toussaint, Stefan Schaal:
An Interior Point Method Solving Motion Planning Problems with Narrow Passages. - Sonja Wogrin, Diego Tejada-Arango, Stefanos Delikaraoglou, Audun Botterud:
Assessing the impact of inertia and reactive power constraints in generation expansion planning. - Vikas Jaiman, Visara Urovi:
A Consent Model for Blockchain-based Distributed Data Sharing Platforms. - Angus Main, Mick Grierson:
Guru, Partner, or Pencil Sharpener? Understanding Designers' Attitudes Towards Intelligent Creativity Support Tools. - Wei N. Tang, Shuai D. Han, Jingjin Yu:
Computing High-Quality Clutter Removal Solutions for Multiple Robots. - Stefano Massei:
Some algorithms for maximum volume and cross approximation of symmetric semidefinite matrices. - Lennart Bramlage, Aurelio Cortese:
Attention or memory? Neurointerpretable agents in space and time. - Jonghye Woo, Fangxu Xing, Jerry L. Prince, Maureen Stone, Arnold D. Gomez, Timothy G. Reese, Van J. Wedeen, Georges El Fakhri:
A Deep Joint Sparse Non-negative Matrix Factorization Framework for Identifying the Common and Subject-specific Functional Units of Tongue Motion During Speech. - Filippo Mantovani, Marta Garcia-Gasulla, José Gracia, Esteban Stafford, Fabio Banchelli, Marc Josep-Fabrego, Joel Criado-Ledesma, Mathias Nachtmann:
Performance and energy consumption of HPC workloads on a cluster based on Arm ThunderX2 CPU. - Joseph Y. Cheng, Hanlin Goh, Kaan Dogrusoz, Oncel Tuzel, Erdrin Azemi:
Subject-Aware Contrastive Learning for Biosignals. - Yuming Shen, Jie Qin, Lei Huang:
Invertible Zero-Shot Recognition Flows. - Effi Levi, Guy Mor, Shaul R. Shenhav, Tamir Sheafer:
CompRes: A Dataset for Narrative Structure in News. - Kefan Dong, Yingkai Li, Qin Zhang, Yuan Zhou:
Multinomial Logit Bandit with Low Switching Cost. - Zhaonan Dong, Emmanuil H. Georgoulis, Thomas Kappas:
GPU-accelerated discontinuous Galerkin methods on polytopic meshes. - Jonas D. Hasbach, Maren Bennewitz:
A Neuro-inspired Theory of Joint Human-Swarm Interaction. - Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang:
PIE-NET: Parametric Inference of Point Cloud Edges. - Ayçil Çesmelioglu, Sander Rhebergen:
A compatible embedded-hybridized discontinuous Galerkin method for the Stokes-Darcy-transport problem. - Gongyang Li, Zhi Liu, Linwei Ye, Yang Wang, Haibin Ling:
Cross-Modal Weighting Network for RGB-D Salient Object Detection. - Lukasz Wandzik, Raul Vicente-Garcia, Jörg Krüger:
Uncertainty Quantification in Deep Residual Neural Networks. - Rustam, Koredianto Usman, Mudyawati Kamaruddin, Dina Chamidah, Nopendri, Khaerudin Saleh, Yulinda Eliskar, Ismail Marzuki:
Modified Possibilistic Fuzzy C-Means Algorithm for Clustering Incomplete Data Sets. - Pieter Gijsbers, Joaquin Vanschoren:
GAMA: a General Automated Machine learning Assistant. - Mokhtar Ben Henda:
GUIDE for a blended learning system. - Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel:
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems. - Salomón Wollenstein-Betech, Christian Muise, Christos G. Cassandras, Ioannis Ch. Paschalidis, Yasaman Khazaeni:
Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case. - Sontje Ihler, Max-Heinrich Laves, Tobias Ortmaier:
Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer. - Daniel D. Johnson, Hugo Larochelle, Daniel Tarlow:
Learning Graph Structure With A Finite-State Automaton Layer. - Oliver Giudice, Mattia Litrico, Sebastiano Battiato:
Single architecture and multiple task deep neural network for altered fingerprint analysis. - Rosana Montanez Rodriguez, Edward Golob, Shouhuai Xu:
Human Cognition through the Lens of Social Engineering Cyberattacks. - Luigi Asprino, Paolo Ciancarini, Andrea Giovanni Nuzzolese, Valentina Presutti, Alessandro Russo:
A Reference Software Architecture for Social Robots. - Timothy Callemein, Kristof Van Beeck, Toon Goedemé:
Anyone here? Smart embedded low-resolution omnidirectional video sensor to measure room occupancy. - Zeev Nutov, Elad Shoham:
Practical Budgeted Submodular Maximization. - Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel:
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning. - Cristian Ramon-Cortes, Francesc Lordan, Jorge Ejarque, Rosa M. Badia:
A Programming Model for Hybrid Workflows: combining Task-based Workflows and Dataflows all-in-one. - Jingjing Shen, Thomas J. Cashman, Qi Ye, Tim Hutton, Toby Sharp, Federica Bogo, Andrew William Fitzgibbon, Jamie Shotton:
The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization. - Robin Schrijvers, Steven Puttemans, Timothy Callemein, Toon Goedemé:
Real-time Embedded Person Detection and Tracking for Shopping Behaviour Analysis. - Francisco de la Hoz, Sandeep Kumar, Luis Vega:
Vortex Filament Equation for a regular polygon in the hyperbolic plane. - Niclas Boehmer, Robert Bredereck, Klaus Heeger, Rolf Niedermeier:
Bribery and Control in Stable Marriage. - Amal Nammouchi, Hakim Ghazzai, Yehia Massoud:
A Generative Graph Method to Solve the Travelling Salesman Problem. - Alpana Dubey, Nitish Bhardwaj, Kumar Abhinav, Mani Suma Kuriakose, Sakshi Jain, Veenu Arora:
AI Assisted Apparel Design. - Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel M. Bear, Dan Gutfreund, David D. Cox, James J. DiCarlo, Josh H. McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins:
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. - Zackory Erickson, Yijun Gu, Charles C. Kemp:
Assistive VR Gym: Interactions with Real People to Improve Virtual Assistive Robots. - Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk, Rolf Niedermeier:
Line-Up Elections: Parallel Voting with Shared Candidate Pool. - Aviv Gabbay, Yedid Hoshen:
Improving Style-Content Disentanglement in Image-to-Image Translation. - Colin White, Willie Neiswanger, Sam Nolen, Yash Savani:
A Study on Encodings for Neural Architecture Search. - Shaheer U. Saeed, Zeike A. Taylor, Mark A. Pinnock, Mark Emberton, Dean C. Barratt, Yipeng Hu:
Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes. - Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph E. Gonzalez, Ion Stoica:
Contrastive Code Representation Learning. - Wenlong Huang, Igor Mordatch, Deepak Pathak:
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control. - Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine:
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning. - Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing:
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks. - Alexandros Arvanitakis:
Recursion and evolution: Part II. - Rolf Huesmann, Alexander Zeier, Andreas Heinemann, Alexander Wiesmaier:
Zur Benutzbarkeit und Verwendung von API-Dokumentationen. - Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates:
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation. - Pietro Antonio Cicalese, Aryan Mobiny, Pengyu Yuan, Jan U. Becker, Chandra Mohan, Hien Van Nguyen:
StyPath: Style-Transfer Data Augmentation For Robust Histology Image Classification. - Pengyu Yuan, Aryan Mobiny, Jahandar Jahanipour, Xiaoyang Li, Pietro Antonio Cicalese, Badrinath Roysam, Vishal M. Patel, Maric Dragan, Hien Van Nguyen:
Few Is Enough: Task-Augmented Active Meta-Learning for Brain Cell Classification. - Kuntal Deka, Sanjeev Sharma:
Design of Puncturing for Length-Compatible Polar Codes Using Differential Evolution. - Georgios Amanatidis, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser:
Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint. - Rohit Agrawal:
𝓁1SABMIS: 𝓁1-minimization and sparse approximation based blind multi-image steganography scheme. - Li Wang, Ren-Cang Li, Wen-Wei Lin:
Multi-view Orthonormalized Partial Least Squares: Regularizations and Deep Extensions. - Adarsh K. Jeewajee, Leslie Pack Kaelbling:
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models. - Wentao Weng, Harsh Gupta, Niao He, Lei Ying, R. Srikant:
Provably-Efficient Double Q-Learning. - Mohammed Javed, Md. Meraz, Pavan Chakraborty:
A Quick Review on Recent Trends in 3D Point Cloud Data Compression Techniques and the Challenges of Direct Processing in 3D Compressed Domain. - Timothy J. Hazen, Alexandra Olteanu, Gabriella Kazai, Fernando Diaz, Michael Golebiewski:
On the Social and Technical Challenges of Web Search Autosuggestion Moderation. - Robert M. Corless, Erik Postma:
Blends in Maple. - Alaa Tharwat:
Behavioral analysis of support vector machine classifier with Gaussian kernel and imbalanced data. - Alexey Bukhtiyarov, Ilya Gusev:
Advances of Transformer-Based Models for News Headline Generation. - Sahar Mehrpour, Thomas D. LaToza, Hamed Sarvari:
RulePad: Interactive Authoring of Checkable Design Rules. - Michael G. Jabbour, Nilanjana Datta:
A tight uniform continuity bound for the Arimoto-Rényi conditional entropy and its extension to classical-quantum states. - Selçuk Yazar:
SARS-CoV-2 virus RNA sequence classification and geographical analysis with convolutional neural networks approach. - Aidin Zehtab-Salmasi, Ali-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Saeideh Nabipour:
Multimodal price prediction. - Taylor W. Webb, Zachary Dulberg, Steven M. Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan D. Cohen:
Learning Representations that Support Extrapolation. - Yewen Pu, Kevin Ellis, Marta Kryven, Josh Tenenbaum, Armando Solar-Lezama:
Program Synthesis with Pragmatic Communication. - Stefan Kiefer, Richard Mayr, Mahsa Shirmohammadi, Patrick Totzke:
Strategy Complexity of Parity Objectives in Countable MDPs. - Sami Ben Elhaj Salah, Azdine Nait-Ali, Mikael Gueguen, Carole Nadot-Martin:
Non-local modeling with asymptotic expansion homogenization of random materials. - Alessandra Vizzaccaro, Loïc Salles, Cyril Touzé:
Comparison of nonlinear mappings for reduced-order modelling of vibrating structures: normal form theory and quadratic manifold method with modal derivatives. - Matteo Cusini, Joshua A. White, Nicola Castelletto, Randolph R. Settgast:
Simulation of coupled multiphase flow and geomechanics in porous media with embedded discrete fractures. - Bamelak Tadele, Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani:
Age-Limited Capacity of Massive MIMO. - Boumediene Hamzi, Houman Owhadi:
Learning dynamical systems from data: a simple cross-validation perspective. - R. Pito Salas:
Reusable Learning Objects: An Agile Approach. - Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko:
A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces. - Sanaz Aliari, Kaveh Farokhi Sadabadi:
Automatic Detection of Major Freeway Congestion Events Using Wireless Traffic Sensor Data: A Machine Learning Approach. - Furkan Kinli, Baris Özcan, Furkan Kiraç:
A Benchmark for Inpainting of Clothing Images with Irregular Holes. - Girish Sathyanarayana, Arun Patro:
Intelligent Warehouse Allocator for Optimal Regional Utilization. - Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos:
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning. - Yaoqing Yang, Rajiv Khanna, Yaodong Yu, Amir Gholami, Kurt Keutzer, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney:
Boundary thickness and robustness in learning models. - Laurens van der Maaten, Awni Y. Hannun:
The Trade-Offs of Private Prediction. - Dan Shen, Afshin Izadian:
Extremum Power Seeking Control of A Hybrid Wind-Solar-Storage DC Power System. - Deshana Desai, Etai Shuchatowitz, Zhongshi Jiang, Teseo Schneider, Daniele Panozzo:
ACORNS: An Easy-To-Use Code Generator for Gradients and Hessians. - Quinlan Sykora, Mengye Ren, Raquel Urtasun:
Multi-Agent Routing Value Iteration Network. - Xu Ma, Jingda Guo, Sihai Tang, Zhinan Qiao, Qi Chen, Qing Yang, Song Fu:
DCANet: Learning Connected Attentions for Convolutional Neural Networks. - Boyuan Feng, Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding:
SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization. - Elizaveta Lazareva, Oleg Rogov, Olga Shegai, Denis Larionov, Dmitry V. Dylov:
Learnable Hollow Kernels for Anatomical Segmentation. - Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
n-Reference Transfer Learning for Saliency Prediction. - Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin:
AdaScale SGD: A User-Friendly Algorithm for Distributed Training. - Hendrik Weerts:
Physics Letters B publications from 1967 to 2020. An analysis of the WEB page content of PLB. - Mahsa Teymourzadeh, Roshanak Vahed, Soulmaz Alibeygi, Narges Dastanpour:
Security in Wireless Sensor Networks: Issues and Challenges. - Xugong Qin, Yu Zhou, Dayan Wu, Yinliang Yue, Weiping Wang:
FC2RN: A Fully Convolutional Corner Refinement Network for Accurate Multi-Oriented Scene Text Detection. - Dalila Kessira, Mohand Tahar Kechadi:
Multi-objective Clustering Algorithm with Parallel Games. - Joshua Bridge, Simon P. Harding, Yalin Zheng:
Development and Validation of a Novel Prognostic Model for Predicting AMD Progression Using Longitudinal Fundus Images. - Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Phung:
Improving Adversarial Robustness by Enforcing Local and Global Compactness. - Rustam, Agus Yodi Gunawan, Made Tri Ari Penia Kresnowati:
Artificial Neural Network Approach for the Identification of Clove Buds Origin Based on Metabolites Composition. - Ashutosh Saxena, David R. Cheriton:
Senior Living Communities: Made Safer by AI. - Shreyas Padhy, Zachary Nado, Jie Ren, Jeremiah Z. Liu, Jasper Snoek, Balaji Lakshminarayanan:
Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks. - Zelun Kong, Yaswanth Yadlapalli, Soroush Bateni, Junfeng Guo, Cong Liu:
LINTS^RT: A Learning-driven Testbed for Intelligent Scheduling in Embedded Systems. - Fangwei Ye, Hyunghoon Cho, Salim El Rouayheb:
Mechanisms for Hiding Sensitive Genotypes with Information-Theoretic Privacy. - Shafi Goldwasser, Adam Tauman Kalai, Yael Tauman Kalai, Omar Montasser:
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples. - Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu:
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. - Yuta Sakai, Vincent Y. F. Tan:
Third-Order Asymptotics of Variable-Length Compression Allowing Errors. - Vishnu S. Chipade, Dimitra Panagou:
Approximate Time-Optimal Trajectories for Damped Double Integrator in 2D Obstacle Environments under Bounded Inputs. - Xuan Di, Rongye Shi:
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning. - Daniel Alabi, Audra McMillan, Jayshree Sarathy, Adam D. Smith, Salil P. Vadhan:
Differentially Private Simple Linear Regression. - Ryuji Koshikawa, Akira Terui, Masahiko Mikawa:
Solving System of Nonlinear Equations with the Genetic Algorithm and Newton's Method. - Leonard K. M. Poon, Nevin L. Zhang, Haoran Xie, Gary Cheng:
Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling. - Natalie Collina, S. Matthew Weinberg:
On the (in)-approximability of Bayesian Revenue Maximization for a Combinatorial Buyer. - Ifigeneia Apostolopoulou, Elan Rosenfeld, Artur Dubrawski:
Self-Reflective Variational Autoencoder. - John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak:
SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation. - Rachit Agarwal, Shikhar Barve, Sandeep Kumar Shukla:
Detecting Malicious Accounts in Permissionless Blockchains using Temporal Graph Properties. - He-Feng Yin, Xiao-Jun Wu, Zhenhua Feng, Josef Kittler:
Affine Non-negative Collaborative Representation Based Pattern Classification. - Adham Atyabi, Somaiyeh Mahmoud Zadeh, Samia Nefti-Meziani:
Current Advancements on Autonomous Mission Planning and Management Systems: an AUV and UAV perspective. - Yunho Jeon, Yongseok Choi, Jaesun Park, Subin Yi, Dong-Yeon Cho, Jiwon Kim:
Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization. - Konstantinos Drossos, Stylianos Ioannis Mimilakis, Tuomas Virtanen:
Conditioned Time-Dilated Convolutions for Sound Event Detection. - Jingwei Hu, Kunlun Qi, Tong Yang:
A new stability and convergence proof of the Fourier-Galerkin spectral method for the spatially homogeneous Boltzmann equation. - Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Angen Luo, Yuxiang Luo:
BISON: BM25-weighted Self-Attention Framework for Multi-Fields Document Search. - Hang Miao, Kui Zhao, Zhun Wang, Linbo Jiang, Quanhui Jia, Yanming Fang, Quan Yu:
Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference. - Kamil Nar, Yuan Xue, Andrew M. Dai:
Learning Unstable Dynamical Systems with Time-Weighted Logarithmic Loss. - Jae-Bin Kim, Seongkyu Mun, Myungwoo Oh, Soyeon Choe, Yong-Hyeok Lee, Hyung-Min Park:
Overcoming label noise in audio event detection using sequential labeling. - Uga Sprogis, Matiss Rikters:
What Can We Learn From Almost a Decade of Food Tweets. - Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré:
Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning. - Immanuel Kunz, Valentina Casola, Angelika Schneider, Christian Banse, Julian Schütte:
Towards Tracking Data Flows in Cloud Architectures. - Sajan Kedia, Samyak Jain, Abhishek Sharma:
Price Optimization in Fashion E-commerce. - Liang Yang, Fanxu Meng, Qingqing Wu, Daniel Benevides da Costa, Mohamed-Slim Alouini:
Accurate Closed-Form Approximations to Channel Distributions of RIS-Aided Wireless Systems. - Jianming Ye, Shiliang Zhang, Jingdong Wang:
Distillation Guided Residual Learning for Binary Convolutional Neural Networks. - Qingsong Yao, Zecheng He, Hu Han, S. Kevin Zhou:
Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection. - Lina S. Mohjazi, Sami Muhaidat, Qammer H. Abbasi, Muhammad Ali Imran, Octavia A. Dobre, Marco Di Renzo:
Battery Recharging Time Models for Reconfigurable Intelligent Surface-Assisted Wireless Power Transfer Systems. - Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Continual Adaptation for Deep Stereo. - Anita Ramm, Ekaterina Lapshinova-Koltunski, Alexander M. Fraser:
Pragmatic information in translation: a corpus-based study of tense and mood in English and German. - Luc Bonnet, Jean-Luc Akian, Éric Savin, Timothy John Sullivan:
Adaptive reconstruction of imperfectly-observed monotone functions, with applications to uncertainty quantification. - Antoine Saverimoutou, Bertrand Mathieu, Sandrine Vaton:
Web View: A Measurement Platform for Depicting Web Browsing Performance and Delivery. - Kai Bergermann, Martin Stoll, Toni Volkmer:
Semi-supervised Learning for Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix Vector Products. - Felix Petzke, Ali Mesbah, Stefan Streif:
PoCET: a Polynomial Chaos Expansion Toolbox for Matlab. - Lucas Keiler, Carlos Vinícius G. C. Lima, Ana Karolinna Maia, Rudini M. Sampaio, Ignasi Sau:
Target set selection with maximum activation time. - Yongliang Lu, Jin-Kao Hao, Qinghua Wu:
Solving the Clustered Traveling Salesman Problem via TSP methods. - Camilla Nadja Fleron, Jonas Kofod Jørgensen, Oksana Kulyk, Elda Paja:
"It's Not Something We Have Talked to Our Team About": Results From a Preliminary Investigation of Cybersecurity Challenges in Denmark. - Yangshuai Wang, Huajie Chen, Mingjie Liao, Christoph Ortner, Hao Wang, Lei Zhang:
A Posteriori Error Estimates for Adaptive QM/MM Coupling Methods. - Jovan Nikolic, Nursultan Jubatyrov, Evangelos Pournaras:
Self-healing Dilemmas in Distributed Systems: Fault-correction vs. Fault-tolerance. - Gulshan Kumar, Rahul Saha, William J. Buchanan, G. Geetha, Reji Thomas, Tai-Hoon Kim, Mamoun Alazab:
Decentralized Accessibility of e-commerce Products through Blockchain Technology. - Meher Preetam Korukonda:
Towards Fast, Flexible and Sensor-Free Control of Standalone PVDG Systems. - Philippe Schnoebelen:
On flat lossy channel machines. - Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf:
Learning to plan with uncertain topological maps. - Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Learning to Play Sequential Games versus Unknown Opponents. - Kangjian Qin, Zhaoyang Zhang:
Convolutional Polar Coded Modulation. - Rajesh Kumar Vashishtha, Vibhati Burman, Rajan Kumar, Srividhya Sethuraman, Abhinaya R. Sekar, Sharadha Ramanan:
Product age based demand forecast model for fashion retail. - Florian Kraus, Nicolas Scheiner, Werner Ritter, Klaus Dietmayer:
Using Machine Learning to Detect Ghost Images in Automotive Radar. - Matthijs Vákár:
Denotational Correctness of Foward-Mode Automatic Differentiation for Iteration and Recursion. - Matthijs Vákár:
Reverse AD at Higher Types: Pure, Principled and Denotationally Correct. - Guilherme Paulino-Passos, Francesca Toni:
Cautious Monotonicity in Case-Based Reasoning with Abstract Argumentation. - Ping Wang, Ping Chen, Zhimin Luo, Gaofeng Dong, Mengce Zheng, Nenghai Yu, Honggang Hu:
Enhancing the Performance of Practical Profiling Side-Channel Attacks Using Conditional Generative Adversarial Networks. - Kieran Woodward, Eiman Kanjo, David J. Brown, Becky Inkster:
TangToys: Smart Toys that can Communicate and Improve Children's Wellbeing. - Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu:
Learn to Use Future Information in Simultaneous Translation. - Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp:
Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing. - Ijaz Ahmad:
Improving Software Defined Cognitive and Secure Networking. - Zakaria Laskar, Juho Kannala:
Data-Efficient Ranking Distillation for Image Retrieval. - Kim Julian Gülle, Nicholas Ford, Patrick Ebel, Florian Brokhausen, Andreas Vogelsang:
Topic Modeling on User Stories using Word Mover's Distance. - Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang, Liang Wang:
Multi-future Merchant Transaction Prediction. - Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen:
ExpertNet: Adversarial Learning and Recovery Against Noisy Labels. - Mehmet Emin Akdogan:
Control Hardware-in-the-loop for Voltage Controlled Inverters with Unbalanced and Non-linear Loads in Stand-alone Photovoltaic(PV) Islanded Microgrids. - Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner:
TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification. - Sjouke Mauw, Yunior Ramírez-Cruz, Rolando Trujillo-Rasua:
Preventing active re-identification attacks on social graphs via sybil subgraph obfuscation. - João Batista Pereira Matos Jr., Lucas Carvalho Cordeiro, Marcelo d'Amorim, Xiaowei Huang:
Generating Adversarial Inputs Using A Black-box Differential Technique. - Keren Censor-Hillel, François Le Gall, Dean Leitersdorf:
On Distributed Listing of Cliques. - Dadja Anade, Jean-Marie Gorce, Philippe Mary, Samir Perlaza:
An Upper Bound on the Error Induced by Saddlepoint Approximations - Applications to Information Theory. - Michael Herty, Jonathan J. Hüser, Uwe Naumann, Thomas Schilden, Wolfgang Schröder:
Algorithmic differentiation of hyperbolic flow problems. - Tigran Galstyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan:
Robust Classification under Class-Dependent Domain Shift. - Alejandro Cabrera Aldaya, Billy Bob Brumley:
Online Template Attacks: Revisited. - Aryan Mobiny, Pengyu Yuan, Pietro Antonio Cicalese, Hien Van Nguyen:
DECAPS: Detail-Oriented Capsule Networks. - Jay P. Lim, Mridul Aanjaneya, John L. Gustafson, Santosh Nagarakatte:
A Novel Approach to Generate Correctly Rounded Math Libraries for New Floating Point Representations. - Eduard Eiben, Robert Ganian, Thekla Hamm, Fabian Klute, Martin Nöllenburg:
Extending Nearly Complete 1-Planar Drawings in Polynomial Time. - Darko Volkov:
A stochastic approach to mixed linear and nonlinear inverse problems with applications to seismology. - Christof A. Bertram, Mitko Veta, Christian Marzahl, Nikolas Stathonikos, Andreas K. Maier, Robert Klopfleisch, Marc Aubreville:
Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels. - Antoine Cully:
Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emitters. - Mohammad Rowshan, Emanuele Viterbo:
List Viterbi Decoding of PAC Codes. - Wanhong Huang, Chunxi Yang, TianHong Hou:
Spine Landmark Localization with combining of Heatmap Regression and Direct Coordinate Regression. - Le Hui, Rui Xu, Jin Xie, Jianjun Qian, Jian Yang:
Progressive Point Cloud Deconvolution Generation Network. - Mohammad Moltafet, Markus Leinonen, Marian Codreanu, Nikolaos Pappas:
Power Minimization for Age of Information Constrained Dynamic Control in Wireless Sensor Networks. - Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli, Marek J. Sergot:
Evaluating the Apperception Engine. - Jide Yuan, Hien Quoc Ngo, Michail Matthaiou:
Towards Large Intelligent Surface (LIS)-based Communications. - Hassan Khodaiemehr, Daniel Panario, Mohammad-Reza Sadeghi:
Design and Practical Decoding of Full-Diversity Construction A Lattices for Block-Fading Channels. - Martyna Soszynska, Thomas Richter:
Adaptive time-step control for a monolithic multirate scheme coupling the heat and wave equation. - Joris Duguépéroux, Tristan Allard:
From Task Tuning to Task Assignment in Privacy-Preserving Crowdsourcing Platforms. - Daniel Deutsch, Dan Roth:
SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics. - Philipp Grohs, Lukas Herrmann:
Deep neural network approximation for high-dimensional elliptic PDEs with boundary conditions. - Daniel Deutch, Yuval Moskovitch, Noam Rinetzky:
COBRA: Compression via Abstraction of Provenance for Hypothetical Reasoning. - Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang:
Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation. - Linda Nanan Vallée, Sao Mai Nguyen, Christophe Lohr, Ioannis Kanellos, Olivier Asseu:
How An Automated Gesture Imitation Game Can Improve Social Interactions With Teenagers With ASD. - Adithya Ranga, Filippo Giruzzi, Jagdish Bhanushali, Émilie Wirbel, Patrick Pérez, Tuan-Hung Vu, Xavier Perrotton:
VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users. - Daniel Deutch, Yuval Moskovitch, Noam Rinetzky:
Hypothetical Reasoning via Provenance Abstraction. - Jinho Lee, Raehyun Kim, Seok-Won Yi, Jaewoo Kang:
MAPS: Multi-agent Reinforcement Learning-based Portfolio Management System. - Umang Bhatt, McKane Andrus, Adrian Weller, Alice Xiang:
Machine Learning Explainability for External Stakeholders. - Koen Holtman:
AGI Agent Safety by Iteratively Improving the Utility Function. - Manuela Bastidas, Carina Bringedal, Iuliu Sorin Pop:
An adaptive multi-scale iterative scheme for a phase-field model for precipitation and dissolution in porous media. - Mikael Zayenz Lagerkvist, Magnus Rattfeldt:
Half-checking propagators. - Christoph Raab, Moritz Heusinger, Frank-Michael Schleif:
Reactive Soft Prototype Computing for Concept Drift Streams. - Joachim Sicking, Maram Akila, Tim Wirtz, Sebastian Houben, Asja Fischer:
Characteristics of Monte Carlo Dropout in Wide Neural Networks. - Jinbin Huang, Xin Huang, Jianliang Xu:
Truss-based Structural Diversity Search in Large Graphs. - Gongfan Fang, Xinchao Wang, Haofei Zhang, Jie Song, Mingli Song:
Impression Space from Deep Template Network. - René F. Kizilcec, Hansol Lee:
Algorithmic Fairness in Education. - Hugo A. Pipino, Marcelo Menezes Morato, Emanuel Bernardi, Eduardo J. Adam, Julio E. Normey-Rico:
Nonlinear Temperature Regulation of Solar Collectors with a Fast Adaptive Polytopic LPV MPC Formulation. - Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan, Kang Li, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas:
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images. - Federico Chiariotti, Olga G. Vikhrova, Beatriz Soret, Petar Popovski:
Information Freshness of Updates Sent over LEO Satellite Multi-Hop Networks. - Giuseppe Vietri, Grace Tian, Mark Bun, Thomas Steinke, Zhiwei Steven Wu:
New Oracle-Efficient Algorithms for Private Synthetic Data Release. - Ronan Fruit, Matteo Pirotta, Alessandro Lazaric:
Improved Analysis of UCRL2 with Empirical Bernstein Inequality. - Anuj Dawar, Abhisekh Sankaran:
Extension Preservation in the Finite and Prefix Classes of First Order Logic. - Ranwa Al Mallah, Bilal Farooq, Alejandro Quintero:
Prediction of Traffic Flow via Connected Vehicles. - Abhishek Singhania, Abhishek Unnam, Varun Aggarwal:
Grading video interviews with fairness considerations. - Pierre Bourhis, Daniel Deutch, Yuval Moskovitch:
Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries. - A. John Woodill, Maria Kavanaugh, Michael Harte, James R. Watson:
Predicting Illegal Fishing on the Patagonia Shelf from Oceanographic Seascapes. - Xiao-Chang Liu, Xuan-Yi Li, Ming-Ming Cheng, Peter Hall:
Geometric Style Transfer. - Ognjen Stanojev, Ognjen Kundacina, Uros Markovic, Evangelos Vrettos, Petros Aristidou, Gabriela Hug:
A Reinforcement Learning Approach for Fast Frequency Control in Low-Inertia Power Systems. - Amit Kadan, Hu Fu:
Exponential Convergence of Gradient Methods in Concave Network Zero-sum Games. - Adrien Bibal, Michael Lognoul, Alexandre de Streel, Benoît Frénay:
Impact of Legal Requirements on Explainability in Machine Learning. - Pierre Godet, Alexandre Boulch, Aurélien Plyer, Guy Le Besnerais:
STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation. - Julie Stephany Berrio, Mao Shan, Stewart Worrall, Eduardo M. Nebot:
Camera-Lidar Integration: Probabilistic sensor fusion for semantic mapping. - Begum Taskazan, Jirí Navrátil, Matthew Arnold, Anupama Murthi, Ganesh Venkataraman, Benjamin Elder:
Not Your Grandfathers Test Set: Reducing Labeling Effort for Testing. - Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Greg Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Rory Sayres, Abigail E. Huang, Siva Balasubramanian, Michael P. Brenner, Philip Q. Nelson, Avinash V. Varadarajan:
Scientific Discovery by Generating Counterfactuals using Image Translation. - Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann:
Neural Knowledge Extraction From Cloud Service Incidents. - A. J. Piergiovanni, Michael S. Ryoo:
AViD Dataset: Anonymized Videos from Diverse Countries. - Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran:
A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal. - Dibya Ghosh, Marc G. Bellemare:
Representations for Stable Off-Policy Reinforcement Learning. - Bernardo A. Huberman, Bob Lund, Jing Wang:
Quantum Secured Internet Transport. - Rogers Epstein:
Local Access to Sparse Connected Subgraphs Via Edge Sampling. - Cristina González, Laura Bravo Sánchez, Pablo Arbeláez:
ISINet: An Instance-Based Approach for Surgical Instrument Segmentation. - Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter L. Choyke, Bradford J. Wood, Daguang Xu:
Multi-Domain Image Completion for Random Missing Input Data. - Ryan Levy, Edgar Solomonik, Bryan K. Clark:
Distributed-Memory DMRG via Sparse and Dense Parallel Tensor Contractions. - Janarthanan Rajendran, Alex Irpan, Eric Jang:
Meta-Learning Requires Meta-Augmentation. - Yang Liu, Alex Kale, Tim Althoff, Jeffrey Heer:
Boba: Authoring and Visualizing Multiverse Analyses. - Maija Kale, Ebenezer Agbozo:
Tracing Complexity in Food Blogging Entries. - Mikko A. Heikkilä, Antti Koskela, Kana Shimizu, Samuel Kaski, Antti Honkela:
Differentially private cross-silo federated learning. - Gonçalo Pestana, Iñigo Querejeta-Azurmendi, Panagiotis Papadopoulos, Benjamin Livshits:
THEMIS: Decentralized and Trustless Ad Platform with Reporting Integrity. - Yingyu Liang, Hui Yuan:
Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model. - Neil C. Thompson, Kristjan H. Greenewald, Keeheon Lee, Gabriel F. Manso:
The Computational Limits of Deep Learning. - John K. Golden, Daniel O'Malley:
Reverse Annealing for Nonnegative/Binary Matrix Factorization. - Jim Winkens, Rudy Bunel, Abhijit Guha Roy, Robert Stanforth, Vivek Natarajan, Joseph R. Ledsam, Patricia MacWilliams, Pushmeet Kohli, Alan Karthikesalingam, Simon Kohl, A. Taylan Cemgil, S. M. Ali Eslami, Olaf Ronneberger:
Contrastive Training for Improved Out-of-Distribution Detection. - Qirun Zhang:
Conditional Lower Bound for Inclusion-Based Points-to Analysis. - Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen:
Variable Skipping for Autoregressive Range Density Estimation. - Yutong Gao, Yi Pan:
Improved Detection of Adversarial Images Using Deep Neural Networks. - Shuby Deshpande, Jeff Schneider:
Vizarel: A System to Help Better Understand RL Agents. - Ömer Uludag, Pascal Philipp, Abheeshta Putta, Maria Paasivaara, Casper Lassenius, Florian Matthes:
Revealing the State-of-the-Art in Large-Scale Agile Development: A Systematic Mapping Study. - Joshua Brody, Jae Tak Kim, Peem Lerdputtipongporn, Hariharan Srinivasulu:
A Strong XOR Lemma for Randomized Query Complexity. - Philip N. Brown:
Partial Altruism is Worse than Complete Selfishness in Nonatomic Congestion Games. - Hong Xu, David E. Timm, Shireen Y. Elhabian:
Attention-guided Quality Assessment for Automated Cryo-EM Grid Screening. - Mohammad Mohammadinodoushan:
Hardware Implementation of Keyless Encryption Scheme for Internet of Things Based on Image of Memristors. - Philippe Reiter, Geet Rose Jose, Spyridon Bizmpikis, Ionela-Ancuta Cîrjila:
Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking. - Junjiao Tian, Jean Oh:
Image Captioning with Compositional Neural Module Networks. - Rongqing Huang, Ossama Abdel-Hamid, Xinwei Li, Gunnar Evermann:
Class LM and word mapping for contextual biasing in End-to-End ASR. - Rohan S. Kodialam, Rebecca Boiarsky, David A. Sontag:
Deep Contextual Clinical Prediction with Reverse Distillation. - Bashar Talafha, Mohammad Ali, Muhy Eddin Za'ter, Haitham Seelawi, Ibraheem Tuffaha, Mostafa Samir, Wael Farhan, Hussein T. Al-Natsheh:
Multi-Dialect Arabic BERT for Country-Level Dialect Identification. - Roi Bar Zur, Ittay Eyal, Aviv Tamar:
Efficient MDP Analysis for Selfish-Mining in Blockchains. - R. Austin McEver, B. S. Manjunath:
PCAMs: Weakly Supervised Semantic Segmentation Using Point Supervision. - Chieh-En Tsai, Jean Oh:
NaviGAN: A Generative Approach for Socially Compliant Navigation. - Yuhao Chen, Yifan Wu, Linlin Xu, Alexander Wong:
Quantization in Relative Gradient Angle Domain For Building Polygon Estimation. - Vaibhav Jain:
GloVeInit at SemEval-2020 Task 1: Using GloVe Vector Initialization for Unsupervised Lexical Semantic Change Detection. - Ondrej Kuzelka:
Weighted First-Order Model Counting in the Two-Variable Fragment With Counting Quantifiers. - Valentijn van de Scheur, Sjoerd Boersma:
A Distributed Model Predictive Wind Farm Controller for Active Power Control. - Hani Mavalizadeh, Luis A. Duffaut Espinosa, Mads R. Almassalkhi:
Decentralized Frequency Control using Packet-based Energy Coordination. - Ed Bueler:
Conservation laws for free-boundary fluid layers. - Tomohiro Koana, Christian Komusiewicz, Frank Sommer:
Computing Dense and Sparse Subgraphs of Weakly Closed Graphs. - Indu L. Shakya, Falah H. Ali:
Joint Access Point Selection and Interference Cancellation for Cell-Free Massive MIMO. - Victor Reis, Thomas Rothvoss:
Vector Balancing in Lebesgue Spaces. - Gautam Mahapatra, Priodyuti Pradhan, Ranjan Chattaraj, Soumya Banerjee:
Dynamic Graph Streaming Algorithm for Digital Contact Tracing. - Yi Liu, Paul H. Siegel:
On the Performance of Direct Shaping Codes. - Lucas Correia Ribas, Leonardo F. S. Scabini, Jarbas Joaci de Mesquita Sá Junior, Odemir M. Bruno:
Learning Local Complex Features using Randomized Neural Networks for Texture Analysis. - Tom Bertalan, Felix Dietrich, Ioannis G. Kevrekidis:
Transformations between deep neural networks. - Wenshuo Guo, Mihaela Curmei, Serena Lutong Wang, Benjamin Recht, Michael I. Jordan:
Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty. - Jinfeng Li, Yuliang Li, Xiaolan Wang, Wang-Chiew Tan:
Deep or Simple Models for Semantic Tagging? It Depends on your Data [Experiments]. - Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation. - Mostafa Rahimi Azghadi, Corey Lammie, Jason Kamran Eshraghian, Melika Payvand, Elisa Donati, Bernabé Linares-Barranco, Giacomo Indiveri:
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications. - Dongbo Zhang, Zheng Fang, Xuequan Lu, Hong Qin, Antonio Robles-Kelly, Chao Zhang, Ying He:
Deep Patch-based Human Segmentation. - Mark Bun:
A Computational Separation between Private Learning and Online Learning. - Sara Elkerdawy, Mostafa Elhoushi, Abhineet Singh, Hong Zhang, Nilanjan Ray:
To filter prune, or to layer prune, that is the question. - Nguyen Quang Hieu, Dinh Thai Hoang, Nguyen Cong Luong, Dusit Niyato:
iRDRC: An Intelligent Real-time Dual-functional Radar-Communication System for Automotive Vehicles. - Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa, Julian Togelius, Amy K. Hoover, Stefanos Nikolaidis:
Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network. - Jinhai Yang, Hua Yang, Lin Chen:
Coarse-to-Fine Pseudo-Labeling Guided Meta-Learning for Inexactly-Supervised Few-Shot Classification. - Brent A. Griffin, Jason J. Corso:
Learning Object Depth from Camera Motion and Video Object Segmentation. - Zijian Zhang, Linglong Dai:
Capacity Improvement in Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network. - Zheda Mai, Hyunwoo Kim, Jihwan Jeong, Scott Sanner:
Batch-level Experience Replay with Review for Continual Learning. - Yunxia Zhao:
Fast Real-time Counterfactual Explanations. - Manish Goyal, Parasara Sridhar Duggirala:
NeuralExplorer: State Space Exploration of Closed Loop Control Systems Using Neural Networks. - Xuhua Huang, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang:
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching. - Zhaonan Qu, Kaixiang Lin, Jayant Kalagnanam, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou:
Federated Learning's Blessing: FedAvg has Linear Speedup. - Ugurkan Ates:
Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones. - Jiajun Zhou, Jie Shen, Shanqing Yu, Guanrong Chen, Qi Xuan:
M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification. - Zhi Chen, Fan Yang, Wenbing Tao:
Cascade Network with Guided Loss and Hybrid Attention for Two-view Geometry. - Claude Brezinski, Stefano Cipolla, Michela Redivo-Zaglia, Yousef Saad:
Shanks and Anderson-type acceleration techniques for systems of nonlinear equations. - Yuexin Ma, Xinge Zhu, Xinjing Cheng, Ruigang Yang, Jiming Liu, Dinesh Manocha:
AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points. - Fu Xiong, Yang Xiao, Zhiguo Cao, Yancheng Wang, Joey Tianyi Zhou, Jianxi Wu:
ECML: An Ensemble Cascade Metric Learning Mechanism towards Face Verification. - Takashi Oya, Shohei Iwase, Ryota Natsume, Takahiro Itazuri, Shugo Yamaguchi, Shigeo Morishima:
Do We Need Sound for Sound Source Localization? - Mohd Zeeshan Ansari, Tanvir Ahmad, Ana Fatima:
Feature Selection on Noisy Twitter Short Text Messages for Language Identification. - Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian:
Usefulness of interpretability methods to explain deep learning based plant stress phenotyping. - Giulia Denevi, Dimitris Stamos, Massimiliano Pontil:
Online Parameter-Free Learning of Multiple Low Variance Tasks. - Mengfan Zheng, Yongpeng Wu, Wenjun Zhang:
Polar Coding and Sparse Spreading for Massive Unsourced Random Access. - Uppala Sumanth, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning. - Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu:
Relation-Guided Representation Learning. - Manik Sharma, Ganapathy Krishnamurthi:
Distangling Biological Noise in Cellular Images with a focus on Explainability. - Zirui Li, Chao Lu, Cheng Gong, Jianwei Gong, Jinghang Li, Lianzhen Wei:
Driver Behavior Modelling at the Urban Intersection via Canonical Correlation Analysis. - Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky:
Generative Graph Perturbations for Scene Graph Prediction. - Yi-Jin Pan, Cunhua Pan, Kezhi Wang, Huiling Zhu, Jiangzhou Wang:
Cost Minimization for Cooperative Computation Framework in MEC Networks. - Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel:
Feature Interactions in XGBoost. - Eduardo Smil Prutchi, Leonardo Gresta Paulino Murta:
How the adoption of feature toggles affects branch merges and defects in open-source projects? - Dana Halabi, Ebaa Fayyoumi, Arafat Awajan:
I3rab: A New Arabic Dependency Treebank Based on Arabic Grammatical Theory. - Kasper Grispino, Damian M. Lyons, Truong-Huy D. Nguyen:
Evaluating the Potential of Drone Swarms in Nonverbal HRI Communication. - Junhao Cheng, Zhuojun Chen, Xinyu Zhang, Yizhou Li, Xiaoyuan Jing:
Exploit the potential of Multi-column architecture for Crowd Counting. - Romit S. Beed, Sunita Sarkar, Arindam Roy, Suvranil D. Biswas, Suhana Biswas:
A Hybrid Multi-Objective Carpool Route Optimization Technique using Genetic Algorithm and A* Algorithm. - Dong Xu, Xiao Huang, Joseph Mango, Xiang Li, Zhenlong Li:
Simulating multi-exit evacuation using deep reinforcement learning. - Wei Fang:
Leaky Integrate-and-Fire Spiking Neuron with Learnable Membrane Time Parameter. - Nazanin Mashhaditafreshi, Amara Tariq, Judy Wawira Gichoya, Imon Banerjee:
Generalization of Deep Convolutional Neural Networks - A Case-study on Open-source Chest Radiographs. - Charles Tim Batista Garrocho, Célio Marcio Soares Ferreira, Carlos Frederico Marcelo da Cunha Cavalcanti, Ricardo Augusto Rabelo Oliveira:
Blockchain-Based Process Control and Monitoring Architecture for Vertical Integration of Industry 4.0. - Florian Horn, Arnaud Sangnier:
Deciding the existence of cut-off in parameterized rendez-vous networks. - Mahmoud Elfar, Yu Wang, Miroslav Pajic:
Context-Aware Temporal Logic for Probabilistic Systems. - Ke Sun, Brent Schlotfeldt, Stephen Chaves, Paul Martin, Gulshan Mandhyan, Vijay Kumar:
Feedback Enhanced Motion Planning for Autonomous Vehicles. - Martijn A. Goorden, Joanna M. van de Mortel-Fronczak, Michel A. Reniers, Martin Fabian, Wan J. Fokkink, Jacobus E. Rooda:
Model Properties for Efficient Synthesis of Nonblocking Modular Supervisors. - Sascha Rosbach, Xing Li, Simon Großjohann, Silviu Homoceanu, Stefan Roth:
Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning. - Ravi Tejwani, Felipe Moreno, Sooyeon Jeong, Hae Won Park, Cynthia Breazeal:
Migratable AI. - Ruslan Alexandrovich Morozov:
Efficient List Decoding of Convolutional Polar Codes. - Guanxiong Liu, Issa Khalil, Abdallah Khreishah, Abdulelah Abdallah Algosaibi, Adel Aldalbahi, Mohammed Alaneem, Abdulaziz Alhumam, Mohammed Anan:
ManiGen: A Manifold Aided Black-box Generator of Adversarial Examples. - Jiteng Ma, Adnan Aijaz, Mark A. Beach:
Recent Results on Proportional Fair Scheduling for mmWave-based Industrial Wireless Networks. - Taiji Suzuki:
Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics. - Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
Understanding Object Detection Through An Adversarial Lens. - Abu Quwsar Ohi, Muhammad Firoz Mridha, Farisa Benta Safir, Md. Abdul Hamid, Muhammad Mostafa Monowar:
AutoEmbedder: A semi-supervised DNN embedding system for clustering. - Md. Abu Sayeed Mondol, Brooke Bell, Meiyi Ma, Ridwan Alam, Ifat Afrin Emi, Sarah Masud Preum, Kayla de la Haye, Donna Spruijt-Metz, John C. Lach, John A. Stankovic:
MFED: A System for Monitoring Family Eating Dynamics. - Vikram Sreekanti, Harikaran Subbaraj, Chenggang Wu, Joseph E. Gonzalez, Joseph M. Hellerstein:
Optimizing Prediction Serving on Low-Latency Serverless Dataflow. - Avisek Lahiri, Sourav Bairagya, Sutanu Bera, Siddhant Haldar, Prabir Kumar Biswas:
Lightweight Modules for Efficient Deep Learning based Image Restoration. - Görkem Algan, Ilkay Ulusoy:
Meta Soft Label Generation for Noisy Labels. - Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley:
Control as Hybrid Inference. - Anoop Cherian, Shuchin Aeron:
Representation Learning via Adversarially-Contrastive Optimal Transport. - Julian Posada:
The Future of Work Is Here: Toward a Comprehensive Approach to Artificial Intelligence and Labour. - Claudia Flores-Saviaga, Saiph Savage:
Fighting Disaster Misinformation in Latin America: The #19S Mexican Earthquake Case Study. - Arman Adibi, Aryan Mokhtari, Hamed Hassani:
Submodular Meta-Learning. - Ritin Raveendran, Aviral Singh, Rajesh Kumar Muthu:
Complex Wavelet SSIM based Image Data Augmentation. - Bapireddy Karri:
Efficient resource management in UAVs for Visual Assistance. - Yashasvi Baweja, Poojan Oza, Pramuditha Perera, Vishal M. Patel:
Anomaly Detection-Based Unknown Face Presentation Attack Detection. - Alberto Del Pia, Silvia Di Gregorio:
On the complexity of binary polynomial optimization over acyclic hypergraphs. - M. A. Vasquez Beltran, Bayu Jayawardhana, Reynier Peletier:
Recursive algorithm for the control of output remnant of Preisach hysteresis operator. - Francisco Utrera, Evan Kravitz, N. Benjamin Erichson, Rajiv Khanna, Michael W. Mahoney:
Adversarially-Trained Deep Nets Transfer Better. - Andrej Brodnik, Aleksander Malnic, Rok Pozar:
A subquadratic algorithm for the simultaneous conjugacy problem. - Reguia Lamia Bouzara, Kenza Guenda, Edgar Martínez-Moro:
Lifted Codes and Lattices from Codes Over Finite Chain Rings. - Esma Wali, Yan Chen, Christopher Mahoney, Thomas Middleton, Marzieh Babaeianjelodar, Mariama Njie, Jeanna Neefe Matthews:
Is Machine Learning Speaking my Language? A Critical Look at the NLP-Pipeline Across 8 Human Languages. - MohammadReza Besharati, Mohammad Izadi:
KARB Solution: Compliance to Quality by Rule Based Benchmarking. - Lan Luo, Yue Zhang, Cliff C. Zou, Xinhui Shao, Zhen Ling, Xinwen Fu:
On Runtime Software Security of TrustZone-M based IoT Devices. - Philip Avery, Daniel Zhengyu Huang, Wanli He, Johanna Ehlers, Armen Derkevorkian, Charbel Farhat:
A computationally tractable framework for nonlinear dynamic multiscale modeling of membrane fabric. - Gaurav Rajavendra Reddy, Constantinos Xanthopoulos, Yiorgos Makris:
On Improving Hotspot Detection Through Synthetic Pattern-Based Database Enhancement. - Marko Smilevski:
Applying recent advances in Visual Question Answering to Record Linkage. - Sri Krishna Vadlamani, Tianyao Patrick Xiao, Eli Yablonovitch:
Physics Successfully Implements Lagrange Multiplier Optimization. - Feiyu Yang, Zhan Song, Zhenzhong Xiao, Yu Chen, Zhe Pan, Min Zhang, Min Xue, Yaoyang Mo, Yao Zhang, Guoxiong Guan, Beibei Qian:
Train Your Data Processor: Distribution-Aware and Error-Compensation Coordinate Decoding for Human Pose Estimation. - Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan:
HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections. - Zhenliang He, Meina Kan, Jichao Zhang, Shiguang Shan:
PA-GAN: Progressive Attention Generative Adversarial Network for Facial Attribute Editing. - Evan Zheran Liu, Ramtin Keramati, Sudarshan Seshadri, Kelvin Guu, Panupong Pasupat, Emma Brunskill, Percy Liang:
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer. - Yang Liu, Cunsheng Ding, Chunming Tang:
Shortened Linear Codes over Finite Fields. - Kartik Chugh, Andrea Y. Solis, Thomas D. LaToza:
Editable AI: Mixed Human-AI Authoring of Code Patterns. - Aidin Ferdowsi, AbdelRahman Eldosouky, Walid Saad:
Interdependence-Aware Game-Theoretic Framework for Secure Intelligent Transportation Systems. - Erik Ordentlich:
Denoising as well as the best of any two denoisers. - Khawar Islam, Uzma Afzal:
Framework for Passenger Seat Availability Using Face Detection in Passenger Bus. - Dongbo Xi, Fuzhen Zhuang, Yongchun Zhu, Pengpeng Zhao, Xiangliang Zhang, Qing He:
Graph Factorization Machines for Cross-Domain Recommendation. - Daniel M. Kane:
Robust Learning of Mixtures of Gaussians. - Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis. - Prashasti Singh, Vivek Kumar Singh, Parveen Arora, Sujit Bhattacharya:
Indias rank and proportionate share in the global research output part 1: how data sourced from different databases can produce different outcomes. - Vivek Kumar Singh, Parveen Arora, Ashraf Uddin, Sujit Bhattacharya:
India's rank and proportionate share in the global research output part 2: how publication counting method and subject selection can vary the outcomes. - Amir Andalib, Vahid Tabataba Vakili:
A Novel Dimension Reduction Scheme for Intrusion Detection Systems in IoT Environments. - Can Xiang, Chunming Tang, Cunsheng Ding:
Shortened linear codes from APN and PN functions. - Mousumi Karmakar, Sumit Kumar Banshal, Vivek Kumar Singh:
Does presence of social media plugins in a journal website result in higher social media attention of its research publications. - Yanpei Huang, Wenjie Lai, Lin Cao, Jiajun Liu, Xiaoguo Li, Etienne Burdet, Soo Jay Phee:
A Three-limb Teleoperated Robotic System with Foot Control for Flexible Endoscopic Surgery. - Max Schwarzer, Ankesh Anand, Rishab Goel, R. Devon Hjelm, Aaron C. Courville, Philip Bachman:
Data-Efficient Reinforcement Learning with Momentum Predictive Representations. - Guang Liang, Shangfei Wang, Can Wang:
Pose-aware Adversarial Domain Adaptation for Personalized Facial Expression Recognition. - Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng:
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition. - Raiyan Abdul Baten, Gourab Ghoshal, Mohammed Ehsan Hoque:
Availability of demographic cues can negatively impact creativity in dynamic social networks. - Mohit Dandekar, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Fruit classification using deep feature maps in the presence of deceptive similar classes. - Sandor Szedmak Eric Bach:
On the generalization of Tanimoto-type kernels to real valued functions. - Lambert Theisen, Manuel Torrilhon:
fenicsR13: A Tensorial Mixed Finite Element Solver for the Linear R13 Equations Using the FEniCS Computing Platform. - Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng:
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation. - Tiago Matias, Filipe Figueiredo Correia, Jonas Fritzsch, Justus Bogner, Hugo Sereno Ferreira, André Restivo:
Determining Microservice Boundaries: A Case Study Using Static and Dynamic Software Analysis. - Hengli Wang, Yuxiang Sun, Ming Liu:
Self-Supervised Drivable Area and Road Anomaly Segmentation using RGB-D Data for Robotic Wheelchairs. - John Galea, Daniel Kroening:
The Taint Rabbit: Optimizing Generic Taint Analysis with Dynamic Fast Path Generation. - Faruk Küçüksubasi, Elif Sürer:
Relational-Grid-World: A Novel Relational Reasoning Environment and An Agent Model for Relational Information Extraction. - Miguel A. López-Carmona:
CellEVAC: An adaptive guidance system for crowd evacuation through behavioral optimization. - Tian Bian, Xi Xiao, Tingyang Xu, Yu Rong, Wenbing Huang, Peilin Zhao, Junzhou Huang:
Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels? - Liwen Li, Zequn Wei, Jin-Kao Hao, Kun He:
Probability Learning based Tabu Search for the Budgeted Maximum Coverage Problem. - Tobias Edwards, Benjamin I. P. Rubinstein, Zuhe Zhang, Sanming Zhou:
A Graph Symmetrisation Bound on Channel Information Leakage under Blowfish Privacy. - Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh:
Stance Detection in Web and Social Media: A Comparative Study. - Giulia Belgiovine, Francesco Rea, Jacopo Zenzeri, Alessandra Sciutti:
A Humanoid Social Agent Embodying Physical Assistance Enhances Motor Training Experience. - Di Xu, Zhen Li, Yanning Zhang, Qi Cao:
IllumiNet: Transferring Illumination from Planar Surfaces to Virtual Objects in Augmented Reality. - George Bissias:
Radium: Improving Dynamic PoW Targeting. - John Janiczek, Parth Thaker, Gautam Dasarathy, Christopher S. Edwards, Philip Christensen, Suren Jayasuriya:
Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model. - Chiranjib Saha, Mehrnaz Afshang, Harpreet S. Dhillon:
Meta Distribution of Downlink SIR in a Poisson Cluster Process-based HetNet Model. - Xueying Wang, Guangli Li, Xiao Dong, Jiansong Li, Lei Liu, Xiaobing Feng:
Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs. - Yige Peng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search. - Paulo Tabuada, Bahman Gharesifard:
Universal Approximation Power of Deep Neural Networks via Nonlinear Control Theory. - Liang Zhang, Johann Li, Ping Li, Xiaoyuan Lu, Peiyi Shen, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Kun Qian, Björn W. Schuller:
MeDaS: An open-source platform as service to help break the walls between medicine and informatics. - Shaolin Liao, Thomas W. Elmer, Sasan Bakhtiari, Nachappa Gopalsami, Nicholas M. Cox, J. Wiencek, Apostolos C. Raptis:
Standoff Through-the-Wall Sensing at Ka-Band Microwave. - Muhammad Baqer Mollah, Jun Zhao, Dusit Niyato, Yong Liang Guan, Chau Yuen, Sumei Sun, Kwok-Yan Lam, Leong Hai Koh:
Blockchain for the Internet of Vehicles towards Intelligent Transportation Systems: A Survey. - Kailash Karthik S:
The Impossibility Theorem of Machine Fairness - A Causal Perspective. - Selin S. Aslan, Eric de Sturler, Serkan Gugercin:
Randomization for the Efficient Computation of Parametric Reduced Order Models for Inversion. - Debmalya Mandal, Samuel Deng, Suman Jana, Jeannette M. Wing, Daniel Hsu:
Ensuring Fairness Beyond the Training Data. - Robert Samuel Ralph Myers:
Nondeterministic Automata and JSL-dfas. - António Loison, Théo Combey, Hatem Hajri:
Probabilistic Jacobian-based Saliency Maps Attacks. - Michel C. Meneses, Leonardo N. Matos, Bruno O. Prado, André Carlos Ponce de Leon Ferreira de Carvalho, Hendrik T. Macedo:
Learning to associate detections for real-time multiple object tracking. - M. A. Awal, Iqbal Husain:
Unified Virtual Oscillator Control for Grid-Forming and Grid-Following Converters. - Eric Heiden, David Millard, Erwin Coumans, Gaurav S. Sukhatme:
Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap. - Vaibhav Shekhar, Nachiketa Mishra, Debasisha Mishra:
Convergence of two-stage iterative scheme for K-weak regular splittings of type II with application to Covid-19 pandemic model. - Jie Meng, Andreas Atle, Henri Calandra, Mauricio Araya-Polo:
Minimod: A Finite Difference solver for Seismic Modeling. - Scott Fujimoto, David Meger, Doina Precup:
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay. - Ovidiu Daescu, Hemant Malik:
City Guarding with Limited Field of View. - Mark Hamilton, Evan Shelhamer, William T. Freeman:
It Is Likely That Your Loss Should be a Likelihood. - Mathew C. Francis, Rian Neogi, Venkatesh Raman:
Recognizing k-Clique Extendible Orderings. - Yuchao Ma, Andrew T. Campbell, Diane J. Cook, John C. Lach, Shwetak N. Patel, Thomas Ploetz, Majid Sarrafzadeh, Donna Spruijt-Metz, Hassan Ghasemzadeh:
Transfer Learning for Activity Recognition in Mobile Health. - Yingshui Tan, Baihong Jin, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI. - Bilal Alsallakh, Zhixin Yan, Shabnam Ghaffarzadegan, Zeng Dai, Liu Ren:
Visualizing Classification Structure of Large-Scale Classifiers. - Krushi Patel, Kaidong Li, Ke Tao, Quan Wang, Ajay Bansal, Amit Rastogi, Guanghui Wang:
A Comparative Study on Polyp Classification using Convolutional Neural Networks. - Daniel Halpern, Ariel D. Procaccia, Alexandros Psomas, Nisarg Shah:
Fair Division with Binary Valuations: One Rule to Rule Them All. - Aditya Mogadala, Marius Mosbach, Dietrich Klakow:
Sparse Graph to Sequence Learning for Vision Conditioned Long Textual Sequence Generation. - Jiangda Zhao:
Robotic Non-Destructive Testing of Manmade Structures: A Review of the Literature. - Tianyi Chen, Xiao Jin, Yuejiao Sun, Wotao Yin:
VAFL: a Method of Vertical Asynchronous Federated Learning. - Zi Wang, Aws Albarghouthi, Somesh Jha:
Abstract Universal Approximation for Neural Networks. - Sepehr Assadi, Deeparnab Chakrabarty, Sanjeev Khanna:
Graph Connectivity and Single Element Recovery via Linear and OR Queries. - Jocelyn T. Chi, Ilse C. F. Ipsen:
Multiplicative Perturbation Bounds for Multivariate Multiple Linear Regression in Schatten p-Norms. - Seyed Majid Azimi, Corentin Henry, Lars Sommer, Arne Schumann, Eleonora Vig:
SkyScapes - Fine-Grained Semantic Understanding of Aerial Scenes. - Martin Ferianc, Hongxiang Fan, Miguel Rodrigues:
VINNAS: Variational Inference-based Neural Network Architecture Search. - José María Hoya Quecedo, Maximilian W. Koppatz, Giacomo Furlan, Roman Yangarber:
Neural disambiguation of lemma and part of speech in morphologically rich languages. - Maciej Duleba, Pawel Gawrychowski, Wojciech Janczewski:
Efficient Labeling for Reachability in Digraphs. - Martin Palazzo, Pierre Beauseroy, Patricio Yankilevich:
Unsupervised Feature Selection for Tumor Profiles using Autoencoders and Kernel Methods. - Matthew Guzdial, Devi Acharya, Max Kreminski, Michael Cook, Mirjam Eladhari, Antonios Liapis, Anne Sullivan:
Tabletop Roleplaying Games as Procedural Content Generators. - José Correa, Paul Dütting, Felix A. Fischer, Kevin Schewior, Bruno Ziliotto:
Streaming Algorithms for Online Selection Problems. - Terry A. Loring, Fredy Vides:
Computing Floquet Hamiltonians with Symmetries. - Lisa Singh, Katharine M. Donato, Ali Arab, Tomas Alvarez Belon, Abraham Fraifeld, Sean Fulmer, Douglas Post, Yanchen Wang:
Identifying Meaningful Indirect Indicators of Migration for Different Conflicts. - Delin Chu, Wenya Shi, Srinivas Eswar, Haesun Park:
An Alternating Rank-K Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization. - Nazanin Takbiri, Minting Chen, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Asymptotic Privacy Loss due to Time Series Matching of Dependent Users. - Ya Xiao, Yang Zhao, Nicholas Allen, Nathan Keynes, Danfeng Yao, Cristina Cifuentes:
Industrial Experience of Finding Cryptographic Vulnerabilities in Large-scale Codebases. - Omkar Ranadive, Grant Gasser, David Terpay, Prem Seetharaman:
OtoWorld: Towards Learning to Separate by Learning to Move. - Seyed Majid Azimi, Reza Bahmanyar, Corentin Henry, Franz Kurz:
EAGLE: Large-scale Vehicle Detection Dataset inReal-World Scenarios using Aerial Imagery. - Junwen Bai, Shufeng Kong, Carla P. Gomes:
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. - Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker:
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images. - Randy Tan, Naimul Mefraz Khan, Ling Guan:
Locality Guided Neural Networks for Explainable Artificial Intelligence. - Jie Shen, Jie Xu:
Unconditionally positivity preserving and energy dissipative schemes for Poisson-Nernst-Planck equations. - Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu:
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability. - Peng Jiang, Gagan Agrawal:
Adaptive Periodic Averaging: A Practical Approach to Reducing Communication in Distributed Learning. - Chris Cannella, Mohammadreza Soltani, Vahid Tarokh:
Projected Latent Markov Chain Monte Carlo: Conditional Inference with Normalizing Flows. - Wenying Wu, Pavlos Protopapas, Zheng Yang, Panagiotis Michalatos:
Gender Classification and Bias Mitigation in Facial Images. - Jinglin Xu, Wenbin Li, Jiantao Shen, Xinwang Liu, Peicheng Zhou, Xiangsen Zhang, Xiwen Yao, Junwei Han:
Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning. - Cong Chen, Shouyang Dong, Ye Tian, Kunlin Cao, Li Liu, Yuanhao Guo:
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection. - Jia Wan, Nikil Senthil Kumar, Antoni B. Chan:
Fine-Grained Crowd Counting. - Peisen Zhao, Lingxi Xie, Ya Zhang, Qi Tian:
Universal-to-Specific Framework for Complex Action Recognition. - Mehdi Mousavi, Aashis Khanal, Rolando Estrada:
AI Playground: Unreal Engine-based Data Ablation Tool for Deep Learning. - (Withdrawn) Deep Reinforced Attention Learning for Quality-Aware Visual Recognition.
- Tyler Ward:
Implementing the ICE Estimator in Multilayer Perceptron Classifiers. - Yuguang Yue, Zhendong Wang, Mingyuan Zhou:
Implicit Distributional Reinforcement Learning. - Ning Miao, Yuxuan Song, Hao Zhou, Lei Li:
Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods. - Kausic Gunasekar, Qiang Qiu, Yezhou Yang:
Low to High Dimensional Modality Hallucination using Aggregated Fields of View. - Daniel Roodt, Ulrich Speidel, Vimal Kumar, Ryan K. L. Ko:
Local Editing in LZ-End Compressed Data. - Sebastian Claici, Mikhail Yurochkin, Soumya Ghosh, Justin Solomon:
Model Fusion with Kullback-Leibler Divergence. - Baoju Liu, Min Deng, Guohua Wu, Xinyu Pei, Haifeng Li, Witold Pedrycz:
Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources. - Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li:
Generating Fluent Adversarial Examples for Natural Languages. - Angel Yanguas-Gil:
Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware. - Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin:
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. - Duo Li, Anbang Yao, Qifeng Chen:
Learning to Learn Parameterized Classification Networks for Scalable Input Images. - Roshan Shariff, Csaba Szepesvári:
Efficient Planning in Large MDPs with Weak Linear Function Approximation. - Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In-So Kweon:
Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations. - Duo Li, Anbang Yao, Qifeng Chen:
PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer. - Blaine Rister, Daniel L. Rubin:
Probabilistic bounds on data sensitivity in deep rectifier networks. - Philipp Benz, Chaoning Zhang, Tooba Imtiaz, In-So Kweon:
Data from Model: Extracting Data from Non-robust and Robust Models. - Gouthaman KV, Anurag Mittal:
Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder. - Rourab Paul, Nimisha Ghosh, Amlan Chakrabarti, Prasant Mahapatra:
The Blockchain Based Auditor on Secret key Life Cycle in Reconfigurable Platform. - Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao:
Structured Policy Iteration for Linear Quadratic Regulator. - Jeongsik Choi:
Sensor-Aided Learning for Wi-Fi Positioning with Beacon Channel State Information. - Siwei Chen, Xiao Ma, David Hsu:
DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space. - Eric Rosen, Stefanie Tellex, George Konidaris:
Steps Towards Best Practices For Robot Videos. - Ahmed Elnaggar, Michael Heinzinger, Christian Dallago, Ghalia Rehawi, Yu Wang, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Martin Steinegger, Debsindhu Bhowmik, Burkhard Rost:
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing. - Mauro J. Sanchirico III, Xun Jiao, Chandrasekhar Nataraj:
Neural Network Verification through Replication. - Youwei Pang, Lihe Zhang, Xiaoqi Zhao, Huchuan Lu:
Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection. - Byung-Hak Kim, Seshadri Sridharan, Andy Atwal, Varun Ganapathi:
Deep Claim: Payer Response Prediction from Claims Data with Deep Learning. - Aman Agarwal, Aditya Mishra, Priyanka Sharma, Swati Jain, Sutapa Ranjan, Ranjana Manchanda:
Using LSTM for the Prediction of Disruption in ADITYA Tokamak. - Wenchi Ma, Kaidong Li, Guanghui Wang:
Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection. - Balázs Pejó:
The Good, The Bad, and The Ugly: Quality Inference in Federated Learning. - Rebecca Vandenberg, Madison A. Elliott, Nicholas Harvey, Tamara Munzner:
LSQT: Low-Stretch Quasi-Trees for Bundling and Layout. - Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Embracing the Unreliability of Memory Devices for Neuromorphic Computing. - Yucan Zhou, Yu Wang, Jianfei Cai, Yu Zhou, Qinghua Hu, Weiping Wang:
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification. - Siddharth Barman, Umang Bhaskar, Nisarg Shah:
Settling the Price of Fairness for Indivisible Goods. - Martin Engelcke, Oiwi Parker Jones, Ingmar Posner:
Reconstruction Bottlenecks in Object-Centric Generative Models. - A. R. Balasubramanian, Javier Esparza, Marijana Lazic:
Complexity of Verification and Synthesis of Threshold Automata. - Victor Costa, Nuno Lourenço, João Correia, Penousal Machado:
Exploring the Evolution of GANs through Quality Diversity. - Pedro Hermosilla, Marco Schäfer, Matej Lang, Gloria Fackelmann, Pere-Pau Vázquez, Barbora Kozlíková, Michael Krone, Tobias Ritschel, Timo Ropinski:
ProteiNN: Intrinsic-Extrinsic Convolution and Pooling for Scalable Deep Protein Analysis. - Philipp Foehn, Davide Scaramuzza:
CPC: Complementary Progress Constraints for Time-Optimal Quadrotor Trajectories. - Hongfei Xu, Qiuhui Liu, Deyi Xiong, Josef van Genabith:
Transformer with Depth-Wise LSTM. - Johannes Reich:
A theory of interaction semantics. - Mingshang Hu, Lianzi Jiang:
An Effective Discrete Recursive Method for Stochastic Optimal Control Problems. - Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori:
BoxE: A Box Embedding Model for Knowledge Base Completion. - Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer:
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning. - Simona Treivase, Alberto Gómez, Jacqueline Matthew, Emily Skelton, Julia A. Schnabel, Nicolas Toussaint:
Screen Tracking for Clinical Translation of Live Ultrasound Image Analysis Methods. - Amandeep Singh Bhatia, Shenggen Zheng:
RNA-2QCFA: Evolving Two-way Quantum Finite Automata with Classical States for RNA Secondary Structures. - Grzegorz Ficht, Sven Behnke:
Fast Whole-Body Motion Control of Humanoid Robots with Inertia Constraints. - John E. Vargas, Shivangi Srivastava, Devis Tuia, Alexandre X. Falcão:
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing. - Felix von Haxthausen, Jannis Hagenah, Mark Kaschwich, Markus Kleemann, Verónica García-Vázquez, Floris Ernst:
Robotized Ultrasound Imaging of the Peripheral Arteries - a Phantom Study. - Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng:
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation. - Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo:
Distributed Graph Convolutional Networks. - Martin C. Cooper:
Strengthening neighbourhood substitution. - Gustav Sourek, Filip Zelezný, Ondrej Kuzelka:
Beyond Graph Neural Networks with Lifted Relational Neural Networks. - Lifang Wu, Zhou Yang, Qi Wang, Meng Jian, Boxuan Zhao, Junchi Yan, Chang Wen Chen:
Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos. - Yana Agafonova, Alexey Tikhonov, Ivan P. Yamshchikov:
Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativity. - Piyush Yadav, Dhaval Salwala, Edward Curry:
Knowledge Graph Driven Approach to Represent Video Streams for Spatiotemporal Event Pattern Matching in Complex Event Processing. - Ambuj Pandey, Akash Anand:
Fourier smoothed pre-corrected trapezoidal rule for solution of Lippmann-Schwinger integral equation. - Leonard E. van Dyck, Walter R. Gruber:
Seeing Eye-to-Eye? A Comparison of Object Recognition Performance in Humans and Deep Convolutional Neural Networks under Image Manipulation. - Christian Lezcano, Marta Arias:
Synthetic Dataset Generation with Itemset-Based Generative Models. - Aris Filos-Ratsikas, Alexandros A. Voudouris:
Approximate mechanism design for distributed facility location. - Alireza Shojaifar, Samuel A. Fricker:
SMEs Confidentiality Concerns for Security Information Sharing. - Yongfei Liu, Xiangyi Zhang, Songyang Zhang, Xuming He:
Part-aware Prototype Network for Few-shot Semantic Segmentation. - Dimitrios Lenis, David Major, Maria Wimmer, Astrid Berg, Gert Sluiter, Katja Bühler:
Domain aware medical image classifier interpretation by counterfactual impact analysis. - Jasper Brown, Salah Sukkarieh:
Design and Evaluation of a Modular Robotic Plum Harvesting System Utilising Soft Components. - Gyeongsik Moon, Heeseung Kwon, Kyoung Mu Lee, Minsu Cho:
IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos. - Lars Schlieper:
In-place implementation of Quantum-Gimli. - Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen:
TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise. - Lutz Klinkenberg, Kevin Batz, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Joshua Moerman, Tobias Winkler:
Generating Functions for Probabilistic Programs. - Aradhana Nayak, Ravi N. Banavar, D. H. S. Maithripala:
Stabilizing a spherical pendulum on a quadrotor. - Zhen Zhao, Miaojing Shi, Xiaoxiao Zhao, Li Li:
Active Crowd Counting with Limited Supervision. - Lei Li, Dongling Wang:
Energy and quadratic invariants preserving methods for Hamiltonian systems with holonomic constraints. - Rahul Tallamraju, Nitin Saini, Elia Bonetto, Michael Pabst, Yu Tang Liu, Michael J. Black, Aamir Ahmad:
AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning. - Xingyu Wan, Jiakai Cao, Sanping Zhou, Jinjun Wang:
End-to-End Multi-Object Tracking with Global Response Map. - Aleksandr Ermolov, Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe:
Whitening for Self-Supervised Representation Learning. - Thanh Vu, Dat Quoc Nguyen, Anthony N. Nguyen:
A Label Attention Model for ICD Coding from Clinical Text. - Willy Susilo, Dung Hoang Duong, Huy Quoc Le, Josef Pieprzyk:
Puncturable Encryption: A Generic Construction from Delegatable Fully Key-Homomorphic Encryption. - Sasikanth Avancha, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty:
Deep Graph Library Optimizations for Intel(R) x86 Architecture. - Rui Qian, Di Hu, Heinrich Dinkel, Mengyue Wu, Ning Xu, Weiyao Lin:
Multiple Sound Sources Localization from Coarse to Fine. - David Berga, Marc Masana, Joost van de Weijer:
Disentanglement of Color and Shape Representations for Continual Learning. - Vishesh Jain, Ashwin Sah, Mehtaab Sawhney:
Perfectly Sampling k≥ (8/3 +o(1))Δ-Colorings in Graphs. - Bo Li, Tommy Sonne Alstrøm:
On uncertainty estimation in active learning for image segmentation. - Vesa Kaarnioja, Yoshihito Kazashi, Frances Y. Kuo, Fabio Nobile, Ian H. Sloan:
Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification. - Djallel Bouneffouf, Sohini Upadhyay, Yasaman Khazaeni:
Contextual Bandit with Missing Rewards. - Dong Wei, Shilei Cao, Kai Ma, Yefeng Zheng:
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification. - Sencer Derebeyoglu, Christian Deppe, Roberto Ferrara:
Performance Analysis of Identification Codes. - Arian Garshi, Malin Wist Jakobsen, Jørgen Nyborg-Christensen, Daniel Ostnes, Maria Ovchinnikova:
Smart technology in the classroom: a systematic review.Prospects for algorithmic accountability. - Jer Shyuan Ng, Wei Yang Bryan Lim, Hong-Ning Dai, Zehui Xiong, Jianqiang Huang, Dusit Niyato, Xian-Sheng Hua, Cyril Leung, Chunyan Miao:
Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles. - S. Ilker Birbil, Mert Edali, Birol Yüceoglu:
Rule Covering for Interpretation and Boosting. - Laura Rieger, Lars Kai Hansen:
A simple defense against adversarial attacks on heatmap explanations. - H. T. Kung, Bradley McDanel, Sai Qian Zhang:
Term Revealing: Furthering Quantization at Run Time on Quantized DNNs. - Golsa Tahmasebzadeh, Sherzod Hakimov, Eric Müller-Budack, Ralph Ewerth:
A Feature Analysis for Multimodal News Retrieval. - Amir Sharifi, Ahmadreza Zibaei, Mahdi Rezaei:
DeepHAZMAT: Hazardous Materials Sign Detection and Segmentation with Restricted Computational Resources. - Hiroaki Nishikawa:
On Estimating Machine-Zero Residual. - Florian Borchert, Christina Lohr, Luise Modersohn, Thomas Langer, Markus Follmann, Jan-Philipp Sachs, Udo Hahn, Matthieu-P. Schapranow:
GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines. - Raphaël Achddou, J. Matías Di Martino, Guillermo Sapiro:
Nested Learning For Multi-Granular Tasks. - Minchul Shin, Yoonjae Cho, Seongwuk Hong:
Fashion-IQ 2020 Challenge 2nd Place Team's Solution. - Marko Angjelichinoski, Bijan Pesaran, Vahid Tarokh:
Deep Cross-Subject Mapping of Neural Activity. - Shichang Tang:
Lessons Learned from the Training of GANs on Artificial Datasets. - David A. Naumann:
Thirty-seven years of relational Hoare logic: remarks on its principles and history. - Bin Li, Jian Tian, Zhongfei Zhang, Hailin Feng, Xi Li:
Multitask Non-Autoregressive Model for Human Motion Prediction. - Konstantin Fackeldey, Jonas Röhm, Amir Niknejad, Surahit Chewle, Marcus Weber:
Analyzing Raman Spectral Data without Separability Assumption. - Iwona Piotrowska-Kurczewski, Georgia Sfakianaki:
Tikhonov functionals with a tolerance measure introduced in the regularization. - Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu:
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction. - Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric:
A Provably Efficient Sample Collection Strategy for Reinforcement Learning. - Jiawei Shen, Zhuoyan Li, Lei Yu, Gui-Song Xia, Wen Yang:
Implicit Euler ODE Networks for Single-Image Dehazing. - William Brown, Utkarsh Patange:
Targeted Intervention in Random Graphs. - Uday K. Chakraborty:
Semi-steady-state Jaya Algorithm. - Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia:
Designing Personalized Interaction of a Socially Assistive Robot for Stroke Rehabilitation Therapy. - Danilo Sorano, Fabio Carrara, Paolo Cintia, Fabrizio Falchi, Luca Pappalardo:
Automatic Pass Annotation from Soccer VideoStreams Based on Object Detection and LSTM. - Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel:
Learning Reasoning Strategies in End-to-End Differentiable Proving. - Kadir Cenk Alpay, Kadir Berkay Aydemir, Alptekin Temizel:
Accelerating Translational Image Registration for HDR Images on GPU. - Charles Jeon, Arian Maleki, Christoph Studer:
Mismatched Data Detection in Massive MU-MIMO. - Xuan-Son Vu, Thanh Vu, Mai-Vu Tran, Thanh Le-Cong, Huyen T. M. Nguyen:
HSD Shared Task in VLSP Campaign 2019: Hate Speech Detection for Social Good. - Yanjun Li, Shujian Yu, José C. Príncipe, Xiaolin Li, Dapeng Oliver Wu:
PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders. - Pingchuan Ma, Brais Martínez, Stavros Petridis, Maja Pantic:
Towards practical lipreading with distilled and efficient models. - Aishwarya Nair, Lee Braine:
Industry Adoption Scenarios for Authoritative Data Stores using the ISDA Common Domain Model. - Aarzoo Dhiman, Durga Toshniwal:
An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets. - Foad Sohrabi, Kareem M. Attiah, Wei Yu:
Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO. - Jadie Adams, Riddhish Bhalodia, Shireen Y. Elhabian:
Uncertain-DeepSSM: From Images to Probabilistic Shape Models. - Venera Khoromskaia, Boris N. Khoromskij:
Tensor-based techniques for fast discretization and solution of 3D elliptic equations with random coefficients. - Mohammed Moshiul Hoque:
A Robotic Framework for Making Eye Contact with Humans. - Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schölkopf:
S2RMs: Spatially Structured Recurrent Modules. - Anastasija Nikiforova:
Open Data Quality. - Xiaobo Wang, Shuo Wang, Cheng Chi, Shifeng Zhang, Tao Mei:
Loss Function Search for Face Recognition. - Dominik Peters, Lan Yu, Hau Chan, Edith Elkind:
Preferences Single-Peaked on a Tree: Multiwinner Elections and Structural Results. - Pranjal Awasthi, Himanshu Jain, Ankit Singh Rawat, Aravindan Vijayaraghavan:
Adversarial robustness via robust low rank representations. - Mateusz Wilinski, Andrey Y. Lokhov:
Scalable Learning of Independent Cascade Dynamics from Partial Observations. - Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie:
Graph Structure of Neural Networks. - James Garland, David Gregg:
HOBFLOPS CNNs: Hardware Optimized Bitsliced Floating-Point Operations Convolutional Neural Networks. - Gustav Sourek, Filip Zelezný:
Lossless Compression of Structured Convolutional Models via Lifting. - Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona:
Towards causal benchmarking of bias in face analysis algorithms. - Robert M. Corless:
Inverse Cubic Iteration. - Yasaman Khorsandmanesh, Mohammad Javad Emadi, Ioannis Krikidis:
Average Peak Age of Information Analysis for Wireless Powered Cooperative Networks. - Yujun Shen, Bolei Zhou:
Closed-Form Factorization of Latent Semantics in GANs. - Amihood Amir, Itai Boneh:
Update Query Time Trade-off for dynamic Suffix Arrays. - Borja Balle, Peter Kairouz, H. Brendan McMahan, Om Thakkar, Abhradeep Thakurta:
Privacy Amplification via Random Check-Ins. - Stephen Bullivant, Giovanni Radhitio Putra Sadewo:
Power, Preferment, and Patronage: Catholic Bishops, Social Networks, and the Affair(s) of Ex-Cardinal McCarrick. - Stephen F. McCormick, Joseph Benzaken, Rasmus Tamstorf:
Algebraic error analysis for mixed-precision multigrid solvers. - Mariano Maisonnave, Fernando Delbianco, Fernando Tohmé, Ana Gabriela Maguitman:
Assessing the behavior and performance of a supervised term-weighting technique for topic-based retrieval. - Xiaofeng Liu, Tong Che, Yiqun Lu, Chao Yang, Site Li, Jane You:
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation. - Hadi Abdullah, Kevin Warren, Vincent Bindschaedler, Nicolas Papernot, Patrick Traynor:
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems. - Pawel Staszewski, Maciej Jaworski, Jinde Cao, Leszek Rutkowski:
A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers. - Ioannis Zografopoulos, Charalambos Konstantinou:
DERauth: A Battery-based Authentication Scheme for Distributed Energy Resources. - Rasmus Tamstorf, Joseph Benzaken, Stephen F. McCormick:
Discretization-error-accurate mixed-precision multigrid solvers. - Guilherme Girotto, Avelino Francisco Zorzo:
Robin: A Web Security Tool. - Javier Antonio Gonzalez-Trejo, Diego Alberto Mercado-Ravell:
Dense Crowds Detection and Counting with a Lightweight Architecture. - Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool:
T-Basis: a Compact Representation for Neural Networks. - Darrick Lee, Robert Ghrist:
Path Signatures on Lie Groups. - Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi:
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities. - Ali Ayub, Alan R. Wagner:
Storing Encoded Episodes as Concepts for Continual Learning. - Faraz Ashtiani, S. Alireza Fayazi, Ardalan Vahidi:
Multi-Intersection Traffic Management for Autonomous Vehicles via Distributed Mixed Integer Linear Programming. - Kyle Min, Jason J. Corso:
Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization. - Xinyi Chen, Elad Hazan:
Black-Box Control for Linear Dynamical Systems. - Alex Berke, Jason Nawyn, Thomas Sanchez Lengeling, Kent Larson:
Urban Mobility Swarms: A Scalable Implementation. - Wenting Wang, Jinghui Cheng, Jin L. C. Guo:
How Do Open Source Software Contributors Perceive and Address Usability? Valued Factors, Practices, and Challenges. - Siamak Mehrkanoon:
Deep Neural-Kernel Machines. - Manos N. Kamarianakis:
Predicates of the 3D Apollonius Diagram. - Yuli Wu, Long Chen, Dorit Merhof:
Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation. - Megha Srivastava, Tatsunori B. Hashimoto, Percy Liang:
Robustness to Spurious Correlations via Human Annotations. - Christoph Gote, Giona Casiraghi, Frank Schweitzer, Ingo Scholtes:
Predicting Sequences of Traversed Nodes in Graphs using Network Models with Multiple Higher Orders. - Junyan Wu, Hao Jiang, Xiaowei Ding, Anudeep Konda, Jin Han, Yang Zhang, Qian Li:
Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision using Graph Convolutional Networks. - Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar:
A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral Cues. - Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman, Erin C. Carson, Terry Cojean, Jack J. Dongarra, Mark Gates, Thomas Grützmacher, Nicholas J. Higham, Xiaoye Sherry Li, Neil Lindquist, Yang Liu, Jennifer A. Loe, Piotr Luszczek, Pratik Nayak, Srikara Pranesh, Sivasankaran Rajamanickam, Tobias Ribizel, Barry Smith, Kasia Swirydowicz, Stephen J. Thomas, Stanimire Tomov, Yaohung M. Tsai, Ichitaro Yamazaki, Ulrike Meier Yang:
A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic. - Varun Ravi Kumar, Senthil Kumar Yogamani, Markus Bach, Christian Witt, Stefan Milz, Patrick Mäder:
UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models. - Nicolas Chan, Elizabeth Polgreen, Sanjit A. Seshia:
Gradient Descent over Metagrammars for Syntax-Guided Synthesis. - Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Momentum-Based Policy Gradient Methods. - Nair Abreu, Cláudia Marcela Justel, Lilian Markenzon:
Integer Laplacian eigenvalues of strictly chordal graphs. - Robert J. Ravier, Mohammadreza Soltani, Miguel Antunes Dias Alfaiate, Denis Garagic, Vahid Tarokh:
An Interpretable Baseline for Time Series Classification Without Intensive Learning. - Richard S. Barr, Fred W. Glover, Toby Huskinson, Gary A. Kochenberger:
A Self-Organizing Extreme-Point Tabu-Search Algorithm for Fixed Charge Network Problems with Extensions. - Xiaojie Guo, Liang Zhao:
A Systematic Survey on Deep Generative Models for Graph Generation. - Yuntian Deng, Abhishek Gupta, Ness B. Shroff:
Fleet Sizing and Charger Allocation in Electric Vehicle Sharing Systems. - Richard S. Barr, Thomas McLoud:
The Invisible Hand Heuristic for Origin-Destination Integer Multicommodity Network Flows. - David Paulius, Nicholas Eales, Yu Sun:
A Motion Taxonomy for Manipulation Embedding. - Safwan Hossain, Evi Micha, Nisarg Shah:
Fair Algorithms for Multi-Agent Multi-Armed Bandits. - William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney:
Revisiting Fundamentals of Experience Replay. - Rushang Karia, Siddharth Srivastava:
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning. - Shangtong Zhang, Vivek Veeriah, Shimon Whiteson:
Learning Retrospective Knowledge with Reverse Reinforcement Learning. - Florence Regol, Soumyasundar Pal, Mark Coates:
Node Copying for Protection Against Graph Neural Network Topology Attacks. - Paul Henderson, Christoph H. Lampert:
Unsupervised object-centric video generation and decomposition in 3D. - Boyang Lyu, Thao Pham, Giles Blaney, Zachary Haga, Sergio Fantini, Shuchin Aeron:
Domain Adaptation for Robust Workload Classification using fNIRS. - Xuchun Ren:
A polynomial dimensional decomposition framework based on topology derivatives for stochastic topology sensitivity analysis of high-dimensional complex systems and a type of benchmark problems. - Taosha Fan, Hanlin Wang, Michael Rubenstein, Todd D. Murphey:
CPL-SLAM: Efficient and Certifiably Correct Planar Graph-Based SLAM Using the Complex Number Representation. - Subhadip Maji, Smarajit Bose:
Deep Image Orientation Angle Detection. - Amogh G. Warkhandkar, Baasit Sharief, Omkar B. Bhambure:
Measuring Performance of Generative Adversarial Networks on Devanagari Script. - Derek S. Prijatelj, Mel McCurrie, Walter J. Scheirer:
A Bayesian Evaluation Framework for Ground Truth-Free Visual Recognition Tasks. - Amirhossein Tavanaei:
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI. - Chiara Ravazzi, Fabrizio Dabbene, Constantino Lagoa, Anton V. Proskurnikov:
Learning hidden influences in large-scale dynamical social networks: A data-driven sparsity-based approach. - Ali Memariani, Ioannis A. Kakadiaris:
DETCID: Detection of Elongated Touching Cells with Inhomogeneous Illumination using a Deep Adversarial Network. - Samantha Robertson, Niloufar Salehi:
What If I Don't Like Any Of The Choices? The Limits of Preference Elicitation for Participatory Algorithm Design. - Nianyu Li, Christos Tsigkanos, Zhi Jin, Zhenjiang Hu, Carlo Ghezzi:
Early Validation of Cyber-Physical Space Systems via Multi-Concerns Integration. - Prajval Kumar Murali, Kourosh Darvish, Fulvio Mastrogiovanni:
Deployment and Evaluation of a Flexible Human-Robot Collaboration Model Based on AND/OR Graphs in a Manufacturing Environment. - Xuchan Bao, James Lucas, Sushant Sachdeva, Roger B. Grosse:
Regularized linear autoencoders recover the principal components, eventually. - Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou:
Representation Transfer by Optimal Transport. - Edward Moroshko, Suriya Gunasekar, Blake E. Woodworth, Jason D. Lee, Nathan Srebro, Daniel Soudry:
Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy. - Yunseo Nam, Song-Nam Hong, Namyoon Lee:
Orthogonal Sparse Superposition Codes. - João Pedro Araújo, Mário A. T. Figueiredo, Miguel Ayala Botto:
Single-partition adaptive Q-learning. - Edith Cohen, Rasmus Pagh, David P. Woodruff:
WOR and p's: Sketches for 𝓁p-Sampling Without Replacement. - P. Chaudhary, Stefano D'Aronco, João Paulo Leitão, Konrad Schindler, Jan Dirk Wegner:
Water level prediction from social media images with a multi-task ranking approach. - Sarbartha Banerjee, Prakash Ramrakhyani, Shijia Wei, Mohit Tiwari:
SESAME: Software defined Enclaves to Secure Inference Accelerators with Multi-tenant Execution. - Yuqian Zhang, Qing Qu, John Wright:
From Symmetry to Geometry: Tractable Nonconvex Problems. - Paul W. Goldberg, Alexandros Hollender, Ayumi Igarashi, Pasin Manurangsi, Warut Suksompong:
Consensus Halving for Sets of Items. - Noranart Vesdapunt, Mitch Rundle, HsiangTao Wu, Baoyuan Wang:
JNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling. - May S. Altulyan, Lina Yao, Xianzhi Wang, Chaoran Huang, Salil S. Kanhere, Quan Z. Sheng:
Recommender Systems for the Internet of Things: A Survey. - Bindita Chaudhuri, Noranart Vesdapunt, Linda G. Shapiro, Baoyuan Wang:
Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting. - Federico Mora, Kevin Cheang, Elizabeth Polgreen, Sanjit A. Seshia:
Synthesis in Uclid5. - Alex Warstadt, Samuel R. Bowman:
Can neural networks acquire a structural bias from raw linguistic data? - Will Pearce, Nick Landers, Nancy Fulda:
Machine Learning for Offensive Security: Sandbox Classification Using Decision Trees and Artificial Neural Networks. - Jonathan Chamberlain, David Starobinski:
Strategic Revenue Management of Preemptive versus Non-Preemptive Queues. - Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen:
Patch-wise Attack for Fooling Deep Neural Network. - Silvano Herculano da Luz Júnior, Francisco Ícaro Cipriano Silva, Gustavo Sousa Galisa Albuquerque, Francisco Petrônio Alencar de Medeiros, Heremita Brasileiro Lira:
Enterprise Architecture in Healthcare Systems: A systematic literature review. - Minchul Shin:
Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction. - Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram:
Analyzing and Mitigating Data Stalls in DNN Training. - Jean-Baptiste Tristan, Joseph Tassarotti, Koundinya Vajjha, Michael L. Wick, Anindya Banerjee:
Verification of ML Systems via Reparameterization. - Lifu Tu, Garima Lalwani, Spandana Gella, He He:
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models. - Nick Lamm, Shashank Jaiprakash, Malavika Srikanth, Iddo Drori:
Vehicle Trajectory Prediction by Transfer Learning of Semi-Supervised Models. - Eugene Lee, Evan Chen, Chen-Yi Lee:
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner. - Ruo Li, Qicheng Liu, Fanyi Yang:
A discontinuous least squares finite element method for time-harmonic Maxwell equations. - Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang:
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning. - Huaishao Luo, Chuishi Meng, Bowen Wu, Junbo Zhang, Tianrui Li, Yu Zheng:
ReAD: A Regional Anomaly Detection Framework Based on Dynamic Partition. - Taylor Ball, Eduardo Camps, Henry Chimal-Dzul, Delio Jaramillo-Velez, Hiram H. López, Nathan Nichols, Matthew Perkins, Ivan Soprunov, German Vera-Martínez, Gwyn Whieldon:
Coding theory package for Macaulay2. - Yaman Kumar, Mehar Bhatia, Anubha Kabra, Junyi Jessy Li, Di Jin, Rajiv Ratn Shah:
Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing. - Yuntian Deng, Hao Chen, Shiping Shao, Jiacheng Tang, Jianzong Pi, Abhishek Gupta:
Multi-Objective Vehicle Rebalancing for Ridehailing System using a Reinforcement Learning Approach. - Rui Zhu, Bo Lin, Haixu Tang:
Bounding The Number of Linear Regions in Local Area for Neural Networks with ReLU Activations. - Mrityunjay Ghosh, Nivedita Dey, Debdeep Mitra, Amlan Chakrabarti:
2D Qubit Placement of Quantum Circuits using LONGPATH. - Arun I., Murugesan Venkatapathi:
An algorithm for estimating volumes and other integrals in n dimensions. - Ehsan Asali, Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, Prasanth Sengadu Suresh, Hamid R. Arabnia:
DeepMSRF: A novel Deep Multimodal Speaker Recognition framework with Feature selection. - Jie Li, Shengbo Eben Li, Yang Guan, Jingliang Duan, Wenyu Li, Yuming Yin:
Ternary Policy Iteration Algorithm for Nonlinear Robust Control. - Xiaoqi Zhao, Lihe Zhang, Youwei Pang, Huchuan Lu, Lei Zhang:
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection. - Austin Hounsel, Paul Schmitt, Kevin Borgolte, Nick Feamster:
Measuring the Performance of Encrypted DNS Protocols from Broadband Access Networks. - Guoxiong Su, Wenyuan Yang, Zhengding Luo, Yinghong Zhang, Zhiqiang Bai, Yuesheng Zhu:
BDTF: A Blockchain-Based Data Trading Framework with Trusted Execution Environment. - (Withdrawn) Lower Bounds of Algebraic Branching Programs and Layerization.
- Laurent Valentin Jospin, Wray L. Buntine, Farid Boussaïd, Hamid Laga, Mohammed Bennamoun:
Hands-on Bayesian Neural Networks - a Tutorial for Deep Learning Users. - Dorit S. Hochbaum, Xu Rao:
Network Flow Methods for the Minimum Covariates Imbalance Problem. - Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang:
Spectrum-Guided Adversarial Disparity Learning. - Thomas Steens, Jan-Simon Telle, Benedikt Hanke, Karsten von Maydell, Carsten Agert, Gian-Luca di Modica, Bernd Engel, Matthias Grottke:
A Forecast Based Load Management Approach For Commercial Buildings - Comparing LSTM And Standardized Load Profile Techniques. - Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain, Ivan Radicek, Sriram K. Rajamani, Sumit Gulwani, Johannes Gehrke:
Programming by Rewards. - Qian Li, Nan Guo, Duo Wang, Xiaochun Ye, Dongrui Fan, Zhimin Tang:
Top-Related Meta-Learning Method for Few-Shot Detection. - Vít Dolejsí, Filip Roskovec:
Goal-oriented anisotropic hp-adaptive discontinuous Galerkin method for the Euler equations. - Zhe Liu, Xianzhi Wang, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim:
Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding. - Vida Adeli, Ehsan Adeli, Ian Reid, Juan Carlos Niebles, Hamid Rezatofighi:
Socially and Contextually Aware Human Motion and Pose Forecasting. - Po-Nan Li, Saulo Henrique Pires de Oliveira, Soichi Wakatsuki, Henry van den Bedem:
Sequence-guided protein structure determination using graph convolutional and recurrent networks. - Yifei Zhang, Hao Zhu:
Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning. - Jordi Ganzer, Natalia Criado, Maite López-Sánchez, Simon Parsons, Juan A. Rodríguez-Aguilar:
A model to support collective reasoning: Formalization, analysis and computational assessment. - Chao Li, Xiaohu Guo:
Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstruction. - Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, Takashi Sato:
BUNET: Blind Medical Image Segmentation Based on Secure UNET. - Piao Zeng, Deli Qiao, Haifeng Qian:
Joint Beamforming Design for IRS-Aided Communications with Channel Estimation Errors. - Hamed Nemati, Roberto Guanciale, Pablo Buiras, Andreas Lindner:
Speculative Leakage in ARM Cortex-A53. - Yuchi Ishikawa, Seito Kasai, Yoshimitsu Aoki, Hirokatsu Kataoka:
Alleviating Over-segmentation Errors by Detecting Action Boundaries. - Karthik Abinav Sankararaman, Anand Louis, Navin Goyal:
Robust Identifiability in Linear Structural Equation Models of Causal Inference. - Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan:
Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets. - Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen:
Attentive Graph Neural Networks for Few-Shot Learning. - Huy Quoc Le, Dung Hoang Duong, Willy Susilo, Josef Pieprzyk:
Trapdoor Delegation and HIBE from Middle-Product LWE in Standard Model. - Fabian Föll, Christoph Müller, Jonas Zeifang, Claus-Dieter Munz:
A novel regularization strategy for the local discontinuous Galerkin method for level-set reinitialization. - Huy Quoc Le, Dung Hoang Duong, Willy Susilo, Ha Thanh Nguyen Tran, Viet Cuong Trinh, Josef Pieprzyk, Thomas Plantard:
Lattice Blind Signatures with Forward Security. - Janghoon Choi, Junseok Kwon, Kyoung Mu Lee:
Visual Tracking by TridentAlign and Context Embedding. - Zeyu Hu, Mingmin Zhen, Xuyang Bai, Hongbo Fu, Chiew-Lan Tai:
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds. - Wei-Hong Li, Hakan Bilen:
Knowledge Distillation for Multi-task Learning. - Weihong Ma, Hesuo Zhang, Lianwen Jin, Sihang Wu, Jiapeng Wang, Yongpan Wang:
Joint Layout Analysis, Character Detection and Recognition for Historical Document Digitization. - Ren Komatsu, Hiromitsu Fujii, Yusuke Tamura, Atsushi Yamashita, Hajime Asama:
360° Depth Estimation from Multiple Fisheye Images with Origami Crown Representation of Icosahedron. - Huan Zhou, José Gracia, Ralf Schneider:
MPI Collectives for Multi-core Clusters: Optimized Performance of the Hybrid MPI+MPI Parallel Codes. - Jørgen Bang-Jensen, Eduard Eiben, Gregory Z. Gutin, Magnus Wahlström, Anders Yeo:
Component Order Connectivity in Directed Graphs. - Sriram Balasubramanian, Naman Jain, Gaurav Jindal, Abhijeet Awasthi, Sunita Sarawagi:
What's in a Name? Are BERT Named Entity Representations just as Good for any other Name? - Swaroop Mishra, Anjana Arunkumar, Chris Bryan, Chitta Baral:
Our Evaluation Metric Needs an Update to Encourage Generalization. - Chenming Yang, Liang Zhou, Hui Wen, Zhiheng Zhou, Yue Wu:
H-VGRAE: A Hierarchical Stochastic Spatial-Temporal Embedding Method for Robust Anomaly Detection in Dynamic Networks. - Annika Meyer, Jonas Walter, Martin Lauer:
Fast Lane-Level Intersection Estimation using Markov Chain Monte Carlo Sampling and B-Spline Refinement. - Paola Cutugno, Davide Chiarella, Roberta Lucentini, Lucia Marconi, Giovanna Morgavi:
Language, communication and society: a gender based linguistics analysis. - Taolue Chen, Matthew Hague, Jinlong He, Denghang Hu, Anthony Widjaja Lin, Philipp Rümmer, Zhilin Wu:
A Decision Procedure for Path Feasibility of String Manipulating Programs with Integer Data Type. - Andrea Cerniglia, Davide Chiarella, Paola Cutugno, Lucia Marconi, Anna Magrini, Gelsomina Di Feo, Melissa Ferretti:
Questionnaire analysis to define the most suitable survey for port-noise investigation. - Aswin Raghavan, Jesse Hostetler, Indranil Sur, Abrar Rahman, Ajay Divakaran:
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer. - Jing Liu, Bohan Zhuang, Peng Chen, Mingkui Tan, Chunhua Shen:
AQD: Towards Accurate Quantized Object Detection. - Simon B. Hengeveld, Tillmann Miltzow:
A Practical Algorithm with Performance Guarantees for the Art~Gallery Problem. - Dongming Yang, Yuexian Zou:
A Graph-based Interactive Reasoning for Human-Object Interaction Detection. - Karlson Pfannschmidt, Eyke Hüllermeier:
Learning Choice Functions via Pareto-Embeddings. - Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, Chao Yang:
Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations. - Mincheol Park, Woojeong Kim, Suhyun Kim:
REPrune: Filter Pruning via Representative Election. - Clayton Miller, Pandarasamy Arjunan, Anjukan Kathirgamanathan, Chun Fu, Jonathan Roth, June Young Park, Chris Balbach, Krishnan Gowri, Zoltán Nagy, Anthony Fontanini, Jeff Haberl:
The ASHRAE Great Energy Predictor III competition: Overview and results. - Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong, Wai Lam, Yang Liu, Zenglin Xu:
Contextualized Code Representation Learning for Commit Message Generation. - Marvin Klingner, Jan-Aike Termöhlen, Jonas Mikolajczyk, Tim Fingscheidt:
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance. - Bernd Finkbeiner, Noemi Passing:
Dependency-based Compositional Synthesis (Full Version). - Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, Yang Liu:
Modeling Voting for System Combination in Machine Translation. - Jan Nordström, Andrew R. Winters:
Stable filtering procedures for nodal discontinuous Galerkin methods. - Yanjun Zhang, Guangdong Bai, Xue Li, Caitlin Curtis, Chen Chen, Ryan K. L. Ko:
PrivColl: Practical Privacy-Preserving Collaborative Machine Learning. - Raj Kumar Gupta, Ajay Vishwanath, Yinping Yang:
COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes. - Jérôme Droniou, Robert Eymard, Thierry Gallouët, Raphaèle Herbin:
Non-conforming finite elements on polytopal meshes. - Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang:
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration. - Tomás Roubícek:
Coupled time discretisation of dynamic damage models at small strains. - Zhiwei Zhang, Shifeng Chen, Lei Sun:
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection. - Wuyang Chen, Zhiding Yu, Zhangyang Wang, Anima Anandkumar:
Automated Synthetic-to-Real Generalization. - Tristan Stérin, Damien Woods:
The Collatz process embeds a base conversion algorithm. - Mathieu Garchery, Michael Granitzer:
ADSAGE: Anomaly Detection in Sequences of Attributed Graph Edges applied to insider threat detection at fine-grained level. - Khashayar Etemadi, Niloofar Tarighat, Siddharth Yadav, Matias Martinez, Martin Monperrus:
Longitudinal Analysis of the Applicability of Program Repair on Past Commits. - Hui-Ming Wang, Shao-Di Wang:
Cooperative Pilot Spoofing in MU-MIMO Systems. - Nico Döttling, Kathrin Grosse, Michael Backes, Ian M. Molloy:
Adversarial Examples and Metrics. - Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik G. Learned-Miller, Manmohan Chandraker:
Improving Face Recognition by Clustering Unlabeled Faces in the Wild. - Tareq Al-Khraishi, Muhannad Quwaider:
Performance evaluation and enhancement of VLAN via wireless networks using OPNET modeler. - Ken Alparslan, Yigit Alparslan, Matthew Burlick:
Adversarial Attacks against Neural Networks in Audio Domain: Exploiting Principal Components. - Robert L. Peach, Sam F. Greenbury, Iain G. Johnston, Sophia N. Yaliraki, David Lefevre, Mauricio Barahona:
Data-driven modelling and characterisation of task completion sequences in online courses. - Jorge A. Mendez, Boyu Wang, Eric Eaton:
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting. - Mihai Cristian Pîrvu:
Pose2RGBD. Generating Depth and RGB images from absolute positions. - Hui Zhang, Fanhai Zeng, Xiaoyun Jiang, George Em Karniadakis:
Convergence analysis of the time-stepping numerical methods for time-fractional nonlinear subdiffusion equations. - Andrew Buzzell:
Public Goods From Private Data - An Efficacy and Justification Paradox for Digital Contact Tracing. - Luo Xiong, Yanjie Liang, Yan Yan, Hanzi Wang:
Correlation filter tracking with adaptive proposal selection for accurate scale estimation. - Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool:
Video Object Segmentation with Episodic Graph Memory Networks. - Harshdeep Singh, Robert West, Giovanni Colavizza:
Wikipedia Citations: A comprehensive dataset of citations with identifiers extracted from English Wikipedia. - Marcin Bienkowski, Björn Feldkord, Pawel Schmidt:
A Nearly Optimal Deterministic Online Algorithm for Non-Metric Facility Location. - Alireza Farhadi, MohammadTaghi Hajiaghayi, Mohamad Latifian, Masoud Seddighin, Hadi Yami:
Almost Envy-freeness, Envy-rank, and Nash Social Welfare Matchings. - Cristiane Aparecida Lana, Milena Guessi, Pablo Oliveira Antonino, H. Dieter Rombach, Elisa Yumi Nakagawa:
A Systematic Identification of Formal and Semi-formalLanguages and Techniques for Software-intensiveSystems-of-Systems Requirements Modeling. - Andrew Perkis, Christian Timmerer, Sabina Barakovic, Jasmina Barakovic Husic, Søren Bech, Sebastian Bosse, Jean Botev, Kjell Brunnström, Luís Alberto da Silva Cruz, Katrien De Moor, Andrea de Polo Saibanti, Wouter Durnez, Sebastian Egger-Lampl, Ulrich Engelke, Tiago H. Falk, Asim Hameed, Andrew Hines, Tanja Kojic, Dragan Kukolj, Eirini Liotou, Dragorad Milovanovic, Sebastian Möller, Niall Murray, Babak Naderi, Manuela Pereira, Stuart W. Perry, António M. G. Pinheiro, Andres Pinilla Palacios, Alexander Raake, Sarvesh Rajesh Agrawal, Ulrich Reiter, Rafael Rodrigues, Raimund Schatz, Peter Schelkens, Steven Schmidt, Saeed Shafiee Sabet, Ashutosh Singla, Lea Skorin-Kapov, Mirko Suznjevic, Stefan Uhrig, Sara Vlahovic, Jan-Niklas Voigt-Antons, Saman Zadtootaghaj:
QUALINET White Paper on Definitions of Immersive Media Experience (IMEx). - Manuel Kalmbach, Mathias Gottschlag, Tim Schmidt, Frank Bellosa:
TurboCC: A Practical Frequency-Based Covert Channel With Intel Turbo Boost. - Jianjun Zhao:
Quantum Software Engineering: Landscapes and Horizons. - Liam Hickey, Martin Harrigan:
The Bisq DAO: On the Privacy Cost of Participation. - Chongyi Li, Runmin Cong, Yongri Piao, Qianqian Xu, Chen Change Loy:
RGB-D Salient Object Detection with Cross-Modality Modulation and Selection. - Qiang Nie, Ziwei Liu, Yunhui Liu:
Unsupervised Human 3D Pose Representation with Viewpoint and Pose Disentanglement. - Iasson Karafyllis, Dionysios Theodosis, Markos Papageorgiou:
Nonlinear Adaptive Cruise Control of Vehicular Platoons. - Dharmen Punjani, Markos Iliakis, Theodoros Stefou, Kuldeep Singh, Andreas Both, Manolis Koubarakis, Iosif Angelidis, Konstantina Bereta, Themis Beris, Dimitris Bilidas, Theofilos Ioannidis, Nikolaos Karalis, Christoph Lange, Despina-Athanasia Pantazi, Christos Papaloukas, Georgios Stamoulis:
Template-Based Question Answering over Linked Geospatial Data. - (Withdrawn) Towards Realistic 3D Embedding via View Alignment.
- Sara Scaramuccia, Simon Nanty, Florent Masseglia:
Feedback Clustering for Online Travel Agencies Searches: a Case Study. - Amandeep Kumar, Shuvozit Ghose, Pinaki Nath Chowdhury, Partha Pratim Roy, Umapada Pal:
UDBNET: Unsupervised Document Binarization Network via Adversarial Game. - Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation. - Tanner Fiez, Nihar B. Shah, Lillian J. Ratliff:
A SUPER* Algorithm to Optimize Paper Bidding in Peer Review. - Ilia Kravets, Tal Heletz, Hayit Greenspan:
Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation. - Vladimir Bernstein, Andrei Afanassenkov:
Unsupervised Data Extraction from Computer-generated Documents with Single Line Formatting. - Shihao Li, Dekun Yang, Bufeng Zhang:
MRIF: Multi-resolution Interest Fusion for Recommendation. - Wenhui Yu, Xiao Lin, Junfeng Ge, Wenwu Ou, Zheng Qin:
Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation. - Timo Mennle, Sven Seuken:
Local Sufficiency for Partial Strategyproofness. - Christoph Raab, Frank-Michael Schleif:
Transfer learning extensions for the probabilistic classification vector machine. - Natalia Criado, Xavier Ferrer Aran, Jose M. Such:
A Normative approach to Attest Digital Discrimination. - Jacques Bou Abdo, Sherali Zeadally:
Multi-Utility Market: Framework for a Blockchain Exchange Platform for Sustainable Development. - Yupeng Cheng, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Shang-Wei Lin, Weisi Lin, Wei Feng, Yang Liu:
Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack. - Timo Mennle, Sven Seuken:
Two New Impossibility Results for the Random Assignment Problem. - Simon Jordan, Mathias Seuret, Pavel Král, Ladislav Lenc, Jirí Martínek, Barbara Wiermann, Tobias Schwinger, Andreas K. Maier, Vincent Christlein:
Re-ranking for Writer Identification and Writer Retrieval. - Gerald Onwujekwe, Kweku-Muata Osei-Bryson, Nnatubemugo Ngwum:
A Framework for Capturing and Analyzing Unstructured and Semi-structured Data for a Knowledge Management System. - Timo Mennle, Sven Seuken:
An Axiomatic Decomposition of Strategyproofness for Ordinal Mechanism with Indifferences. - Vijay Kumar Garg, Changyong Hu:
Improved Paths to Stability for the Stable Marriage Problem. - Qunsong Zeng, Yuqing Du, Kaibin Huang, Kin K. Leung:
Energy-Efficient Resource Management for Federated Edge Learning with CPU-GPU Heterogeneous Computing. - Alexander Treiss, Jannis Walk, Niklas Kühl:
An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis. - Albert Segura, José-María Arnau, Antonio González:
Irregular Accesses Reorder Unit: Improving GPGPU Memory Coalescing for Graph-Based Workloads. - Prateek Verma, Alessandro Ilic Mezza, Chris Chafe, Cristina Rottondi:
A Deep Learning Approach for Low-Latency Packet Loss Concealment of Audio Signals in Networked Music Performance Applications. - Shuhao Yan, Paul Goulart, Mark Cannon:
Stochastic MPC with Dynamic Feedback Gain Selection and Discounted Probabilistic Constraints. - Sabah Al-Fedaghi:
Modeling the Semantics of States and State Machines. - Andres Cotorruelo, Daniel R. Ramírez, Daniel Limón, Emanuele Garone:
Nonlinear MPC for Tracking for a Class of Non-Convex Admissible Output Sets. - Charilaos Efthymiou:
On sampling symmetric Gibbs distributions on sparse random graphs and hypergraphs. - Kundan Krishna, Amy Pavel, Benjamin Schloss, Jeffrey P. Bigham, Zachary C. Lipton:
Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances. - Mohammad Shojaeshafiei, Letha H. Etzkorn, Michael Anderson:
multiple layers of fuzzy logic to quantify vulnerabilies in iot. - Ming-Jun Lai, Jiaxin Xie, Zhiqiang Xu:
Graph Sparsification by Universal Greedy Algorithms. - Suraj Nair, Silvio Savarese, Chelsea Finn:
Goal-Aware Prediction: Learning to Model What Matters. - David Fuentes-Jiménez, Cristina Losada-Gutiérrez, David Casillas-Perez, Javier Macías Guarasa, Roberto Martín-López, Daniel Pizarro, Carlos A. Luna:
Towards Dense People Detection with Deep Learning and Depth images. - Alireza Abedin, Mahsa Ehsanpour, Qinfeng Shi, Hamid Rezatofighi, Damith Chinthana Ranasinghe:
Attend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors. - Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian:
Wavelet-Based Dual-Branch Network for Image Demoireing. - Wenqi Shi, Sheng Zhou, Zhisheng Niu, Miao Jiang, Lu Geng:
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning. - Abubakar Siddique, Reza Jalil Mozhdehi, Henry Medeiros:
Deep Heterogeneous Autoencoder for Subspace Clustering of Sequential Data. - Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar:
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training. - Mark Hamilton, Stephanie Fu, William T. Freeman, Mindren Lu:
Conditional Image Retrieval. - Harshit Sharma, Harsh K. Gandhi, Apoorv Jain:
Towards Credit-Fraud Detection via Sparsely Varying Gaussian Approximations. - Jack Geary, Henry Gouk:
Altruistic Decision-Making for Autonomous Driving with Sparse Rewards. - Tineke Blom, Mirthe M. van Diepen, Joris M. Mooij:
Conditional Independences and Causal Relations implied by Sets of Equations. - Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong:
Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine. - Hung-yi Lee, Cheng-Hao Ho, Chien-Fu Lin, Chiung-Chih Chang, Chih-Wei Lee, Yau-Shian Wang, Tsung-Yuan Hsu, Kuan-Yu Chen:
Investigation of Sentiment Controllable Chatbot. - Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. - Weihao Gao, Xiangjun Fan, Jiankai Sun, Kai Jia, Wenzhi Xiao, Chong Wang, Xiaobing Liu:
Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations. - Wenhui Yu, Zheng Qin:
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning. - Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li:
Security and Machine Learning in the Real World. - Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau:
Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP. - Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter:
Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes. - Mark Ainsworth, Yeonjong Shin:
Plateau Phenomenon in Gradient Descent Training of ReLU networks: Explanation, Quantification and Avoidance. - Guojun Wang, Bin Tian, Yunfeng Ai, Tong Xu, Long Chen, Dongpu Cao:
CenterNet3D: An Anchor free Object Detector for Autonomous Driving. - Tomer Ezra, Michal Feldman, Ron Kupfer:
On a Competitive Secretary Problem with Deferred Selections. - Longbing Cao:
Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting. - Simon Hecker, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Learning Accurate and Human-Like Driving using Semantic Maps and Attention. - David Gamarnik, John N. Tsitsiklis, Martin Zubeldia:
Stability, memory, and messaging tradeoffs in heterogeneous service systems. - Gabriel K. Sepulveda, Felipe Besoain, Nicolas A. Barriga:
Exploring Dynamic Difficulty Adjustment in Videogames. - Jishan Shaikh, Adya Sharma, Ankit Chouhan, Avinash Mahawar:
Alpha-Net: Architecture, Models, and Applications. - Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. - Ting-Hsiang Wang, Qingquan Song, Xiaotian Han, Zirui Liu, Haifeng Jin, Xia Hu:
AutoRec: An Automated Recommender System. - István Sárándi, Timm Linder, Kai Oliver Arras, Bastian Leibe:
MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimation. - Sarah H. Q. Li, Lillian J. Ratliff, Behçet Açikmese:
Disturbance Decoupling for Gradient-based Multi-Agent Learning with Quadratic Costs. - Narjes Nikzad-Khasmakhi, Mohammad Ali Balafar, Mohammad-Reza Feizi-Derakhshi, Cina Motamed:
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer. - Bernd Finkbeiner, Manuel Gieseking, Jesko Hecking-Harbusch, Ernst-Rüdiger Olderog:
Model Checking Branching Properties on Petri Nets with Transits (Full Version). - Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick:
Multitask Learning Strengthens Adversarial Robustness. - Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir G. Kim, Ming-Hsuan Yang:
Modeling Artistic Workflows for Image Generation and Editing. - Zhichao Zhang, Shugong Xu, Shunqing Zhang, Tianhao Qiao, Shan Cao:
Learning Frame Level Attention for Environmental Sound Classification. - Guilin Liu, Rohan Taori, Ting-Chun Wang, Zhiding Yu, Shiqiu Liu, Fitsum A. Reda, Karan Sapra, Andrew Tao, Bryan Catanzaro:
Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter. - Xianchao Wu, Chengyuan Wang, Qinying Lei:
Transformer-XL Based Music Generation with Multiple Sequences of Time-valued Notes. - Yunzhong Hou, Liang Zheng, Stephen Gould:
Multiview Detection with Feature Perspective Transformation. - Niloofar Shadab, Alejandro Salado:
Towards an Interface Description Template for AI-enabled Systems. - Roberto Bigazzi, Federico Landi, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara:
Explore and Explain: Self-supervised Navigation and Recounting. - Joel R. Bock, Akhilesh Maewal:
Adversarial learning for product recommendation. - Pavan Inguva, Lachlan Mason, Indranil Pan, Miselle Hengardi, Omar K. Matar:
Numerical simulation, clustering and prediction of multi-component polymer precipitation. - Salvador E. Barbosa:
Using Holographically Compressed Embeddings in Question Answering. - Yikun Ban, Jingrui He:
Generic Outlier Detection in Multi-Armed Bandit. - Max Bender, Jacob Gilbert, Aditya Krishnan, Kirk Pruhs:
Competitively Pricing Parking in a Tree. - Hanchi Ren, Jingjing Deng, Xianghua Xie:
Privacy Preserving Text Recognition with Gradient-Boosting for Federated Learning. - Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Hanlin Tang, Shie Mannor, Tamir Hazan, Somdeb Majumdar:
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. - Bart P. G. Van Parys, Negin Golrezaei:
Optimal Learning for Structured Bandits. - Gedas Bertasius, Lorenzo Torresani:
COBE: Contextualized Object Embeddings from Narrated Instructional Video. - Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar:
Long-tail learning via logit adjustment. - Safwan Hossain, Nisarg Shah:
The Effect of Strategic Noise in Linear Regression. - Johannes V. Lochter, Renato Moraes Silva, Tiago A. Almeida:
Deep learning models for representing out-of-vocabulary words. - Tiansi Dong, Chengjiang Li, Christian Bauckhage, Juanzi Li, Stefan Wrobel, Armin B. Cremers:
Learning Syllogism with Euler Neural-Networks. - Libo Liu, Boyang Li, Gunther Götting, Yusheng Xiang, Qusay Salem, Muhammad Hamid, Jian Xie:
Loss Minimization of Traction Systems in Battery Electric Vehicles Using Variable DC-link Voltage Technique - Experimental Study. - Michael Rotman, Lior Wolf:
Shuffling Recurrent Neural Networks. - Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan, Warren J. Gross:
High-Throughput VLSI Architecture for GRAND. - Mohammad Reza Zarrabi, Nasrollah Moghaddam Charkari:
On approximations to minimum link visibility paths in simple polygons. - Luiz F. Pinto, Carlos Denner dos Santos, Silvia Onoyama:
Individual Factors that Influence Effort and Contributions on Wikipedia. - Xiaopeng Zheng, Yiming Zhu, Na Lei, Zhongxuan Luo, Xianfeng Gu:
Quadrilateral Mesh Generation III: Optimizing Singularity Configuration Based on Abel-Jacobi Theory. - Andrew C. Kirby, Siddharth Samsi, Michael Jones, Albert Reuther, Jeremy Kepner, Vijay Gadepally:
Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks Via Nonlinear Multigrid. - Alex Spaeth, Maryam Tebyani, David Haussler, Mircea Teodorescu:
Spiking neural state machine for gait frequency entrainment in a flexible modular robot. - Jonathan T. Barron:
A Generalization of Otsu's Method and Minimum Error Thresholding. - Anirban Ghatak:
Extending Coggia-Couvreur Attack on Loidreau's Rank-metric Cryptosystem. - Ugur Demir, Yogesh S. Rawat, Mubarak Shah:
TinyVIRAT: Low-resolution Video Action Recognition. - Ruihan Zhao, Pieter Abbeel, Stas Tiomkin:
Efficient Online Estimation of Empowerment for Reinforcement Learning. - Ahmadreza Jeddi:
Tackling the Problem of Limited Data and Annotations in Semantic Segmentation. - Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. - George Petrides, Wouter Verbeke:
Misclassification cost-sensitive ensemble learning: A unifying framework. - Clive Cox, Dan Sun, Ellis Tarn, Animesh Singh, Rakesh Kelkar, David Goodwin:
Serverless inferencing on Kubernetes. - Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe:
Streaming Probabilistic Deep Tensor Factorization. - Kaidi Cao, Maria Brbic, Jure Leskovec:
Concept Learners for Generalizable Few-Shot Learning. - Laavanya Rachakonda, Anand K. Bapatla, Saraju P. Mohanty, Elias Kougianos:
SaYoPillow: A Blockchain-Enabled, Privacy-Assured Framework for Stress Detection, Prediction and Control Considering Sleeping Habits in the IoMT. - Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Samir Khuller, Aravind Srinivasan, Leonidas Tsepenekas:
A Pairwise Fair and Community-preserving Approach to k-Center Clustering. - Kai Shu, Amrita Bhattacharjee, Faisal Alatawi, Tahora H. Nazer, Kaize Ding, Mansooreh Karami, Huan Liu:
Combating Disinformation in a Social Media Age. - Weicheng Ma, Ruibo Liu, Lili Wang, Soroush Vosoughi:
Emoji Prediction: Extensions and Benchmarking. - Fredrik Svanström, Cristofer Englund, Fernando Alonso-Fernandez:
Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors. - Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole, Morgan Klaus Scheuerman:
Bringing the People Back In: Contesting Benchmark Machine Learning Datasets. - Vinay V. Ramasesh, Ethan Dyer, Maithra Raghu:
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics. - Avisha Das, Rakesh M. Verma:
Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners. - Mahmoud Saeedimoghaddam, Tomasz F. Stepinski:
Automatic extraction of road intersection points from USGS historical map series using deep convolutional neural networks. - Adalat Jabrayilov:
On the hop-constrained Steiner tree problems. - Juan Carlo Rebanal, Yuqi Tang, Jordan Combitsis, Kai-Wei Chang, Xiang 'Anthony' Chen:
XAlgo: Explaining the Internal States of Algorithms via Question Answering. - Xiang Zhang, Wei Zhang, Jinye Peng, Jianping Fan:
Automatic Image Labelling at Pixel Level. - Yifan Chen, Thomas Y. Hou, Yixuan Wang:
Exponential Convergence for Multiscale Linear Elliptic PDEs via Adaptive Edge Basis Functions. - Kittiphon Phalakarn, Toru Takisaka, Thomas Haas, Ichiro Hasuo:
Widest Paths and Global Propagation in Bounded Value Iteration for Stochastic Games. - Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng:
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations. - Yanqi Liu, Giuseppe Calderoni, R. Iris Bahar:
Hardware Acceleration of Monte-Carlo Sampling for Energy Efficient Robust Robot Manipulation. - Daniel Moghimi:
Data Sampling on MDS-resistant 10th Generation Intel Core (Ice Lake). - Kuniaki Saito, Kate Saenko, Ming-Yu Liu:
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder. - Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows. - Vahid Izadi, Amir H. Ghasemi:
Modulation of Control Authority in Adaptive HapticShared Control Paradigms. - Junwen Chen, Yi Lu, Yaran Chen, Dongbin Zhao, Zhonghua Pang:
ContourRend: A Segmentation Method for Improving Contours by Rendering. - Sinong Geng, Houssam Nassif, Carlos A. Manzanares, A. Max Reppen, Ronnie Sircar:
Identifying Reward Functions using Anchor Actions. - Nathaniel Harms, Yuichi Yoshida:
Downsampling for Testing and Learning in Product Distributions. - Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Yang Li, Richard Yi Da Xu:
RGB-IR Cross-modality Person ReID based on Teacher-Student GAN Model. - Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Graph-Based Social Relation Reasoning. - Jimin Wang, Yingjie Hu:
Are We There Yet? Evaluating State-of-the-Art Neural Network based Geoparsers Using EUPEG as a Benchmarking Platform. - João Batista Florindo:
Reorganizing local image features with chaotic maps: an application to texture recognition. - Yoo-Bin Bae, Seong-Ho Kwon, Young-Hun Lim, Hyo-Sung Ahn:
Distributed Bearing-based Formation Control and Network Localization with Exogenous Disturbances. - Kaiqing Zhang, Sham M. Kakade, Tamer Basar, Lin F. Yang:
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity. - João Batista Florindo, Konradin Metze:
A cellular automata approach to local patterns for texture recognition. - Shunki Kyoya, Kenji Yamanishi:
Mixture Complexity and Its Application to Gradual Clustering Change Detection. - Aravind V. R, Pradeep Kiran Sarvepalli, Andrew Thangaraj:
Coded Caching with Demand Privacy: Constructions for Lower Subpacketization and Generalizations. - Yu-Han Liu, Sercan Ö. Arik:
Explaining Deep Neural Networks using Unsupervised Clustering. - Jianyu Wang, Qinghua Liu, Hao Liang, Gauri Joshi, H. Vincent Poor:
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization. - Abhishek Mukhopadhyay, Imon Mukherjee, Pradipta Biswas:
Decoding CNN based Object Classifier Using Visualization. - Jihun Yun, Aurélie C. Lozano, Eunho Yang:
A General Family of Stochastic Proximal Gradient Methods for Deep Learning. - Stefan Langer, Liza Obermeier, André Ebert, Markus Friedrich, Emma Munisamy, Claudia Linnhoff-Popien:
Content-based Recommendations for Radio Stations with Deep Learned Audio Fingerprints. - Pramesh Kumar, Alireza Khani:
An algorithm for integrating peer-to-peer ridesharing and schedule-based transit system for first mile/last mile access. - Amin Coja-Oghlan, Max Hahn-Klimroth, Philipp Loick, Noëla Müller, Konstantinos Panagiotou, Matija Pasch:
Inference and mutual information on random factor graphs. - Julaiti Alafate, Yoav Freund, David T. Sandwell, Brook Tozer:
Experimental Design for Bathymetry Editing. - (Withdrawn) Observations on Symmetric Circuits.
- Tao Luo, Zhi-Qin John Xu, Zheng Ma, Yaoyu Zhang:
Phase diagram for two-layer ReLU neural networks at infinite-width limit. - Lingjuan Lyu, Sid Chi-Kin Chau, Nan Wang, Yifeng Zheng:
Cloud-based Privacy-Preserving Collaborative Consumption for Sharing Economy. - Nikolay Prudkovskiy:
Static analysis of executable files by machine learning methods. - Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo:
Learning Visual Context by Comparison. - Anuran Makur:
Coding Theorems for Noisy Permutation Channels. - Lachlan Urquhart, Peter J. Craigon:
The Moral-IT Deck: A Tool for Ethics by Design. - Yaxiong Liu, Kohei Hatano, Eiji Takimoto:
Improved algorithms for online load balancing. - Kaibo Hu, Young-Ju Lee, Jinchao Xu:
Helicity-conservative finite element discretization for MHD systems. - Vivek Kumar Singh, Rajesh Piryani, Satya Swarup Srichandan:
The Case of Significant Variations in Gold-Green and Black Open Access: Evidence from Indian Research Output. - Cedric Schockaert, Henri Hoyez:
MTS-CycleGAN: An Adversarial-based Deep Mapping Learning Network for Multivariate Time Series Domain Adaptation Applied to the Ironmaking Industry. - Wonkyung Lee, Junghyup Lee, Dohyung Kim, Bumsub Ham:
Learning with Privileged Information for Efficient Image Super-Resolution. - Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma:
Learning to Parse Wireframes in Images of Man-Made Environments. - James Chiang:
Bitcoin Trace-Net: Formal Contract Verification at Signing Time. - Kyaw L. Oo, Andreas Vogel:
Accelerating Geometric Multigrid Preconditioning with Half-Precision Arithmetic on GPUs. - Lukas Munser, Arne-Jens Hempel, Grigory Devadze, Stefan Streif:
Prototypical Description and Controller Design for a Set of Systems Using v-gap Based Clustering. - Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin, Hongbin Sun, Wayne Zhang:
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition. - Samo Gerksic, Bostjan Pregelj, Marco Ariola:
Model predictive control of resistive wall mode for ITER. - Joris Voerman, Aurélie Joseph, Mickaël Coustaty, Vincent Poulain D'Andecy, Jean-Marc Ogier:
Evaluation of Neural Network Classification Systems on Document Stream. - Jens Brunk, Matthias Stierle, Leon Papke, Kate Revoredo, Martin Matzner, Jörg Becker:
Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances. - Gordon Hoi, Sanjay Jain, Frank Stephan:
A Faster Exact Algorithm to Count X3SAT Solutions. - Mojtaba Abdolmaleki, Yafeng Yin, Neda Masoud:
Minimum Weight Pairwise Distance Preservers. - Edouard Pauwels:
Incremental Without Replacement Sampling in Nonconvex Optimization. - Rodrigo de Medrano, José Luis Aznarte:
On the Inclusion of Spatial Information for Spatio-Temporal Neural Networks. - Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin:
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks. - Marios Loizou, Melinos Averkiou, Evangelos Kalogerakis:
Learning Part Boundaries from 3D Point Clouds. - Marc Blanchon, Désiré Sidibé, Olivier Morel, Ralph Seulin, Daniel Braun, Fabrice Mériaudeau:
P2D: a self-supervised method for depth estimation from polarimetry. - Giovanni Casini, Umberto Straccia:
Defeasible RDFS via Rational Closure. - Manuel Cáceres, Massimo Cairo, Brendan Mumey, Romeo Rizzi, Alexandru I. Tomescu:
On the parameterized complexity of the Minimum Path Cover problem in DAGs. - Zhongdao Wang, Jingwei Zhang, Liang Zheng, Yixuan Liu, Yifan Sun, Yali Li, Shengjin Wang:
CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions. - Sabrina Hoppe, Marc Toussaint:
Qgraph-bounded Q-learning: Stabilizing Model-Free Off-Policy Deep Reinforcement Learning. - An-phi Nguyen, María Rodríguez Martínez:
On quantitative aspects of model interpretability. - Tobias Cloosters, Michael Rodler, Lucas Davi:
TeeRex: Discovery and Exploitation of Memory Corruption Vulnerabilities in SGX Enclaves. - Natalia Lara Nieto-Márquez, Alejandro Baldominos, Almudena González Petronila:
SARS-CoV-2 Impact on Online Teaching Methodologies and the Ed-Tech Sector: Smile and Learn Platform Case Study. - Hilde J. P. Weerts, Andreas C. Müller, Joaquin Vanschoren:
Importance of Tuning Hyperparameters of Machine Learning Algorithms. - An-phi Nguyen, María Rodríguez Martínez:
Learning Invariances for Interpretability using Supervised VAE. - Jana Wagemaker, Paul Brunet, Simon Docherty, Tobias Kappé, Jurriaan Rot, Alexandra Silva:
Partially Observable Concurrent Kleene Algebra. - Jonas Dann, Daniel Ritter, Holger Fröning:
Non-Relational Databases on FPGAs: Survey, Design Decisions, Challenges. - Alireza Shojaifar, Samuel A. Fricker, Martin Gwerder:
Automating the Communication of Cybersecurity Knowledge: Multi-Case Study. - Felix Mujkanovic, Vanja Doskoc, Martin Schirneck, Patrick Schäfer, Tobias Friedrich:
timeXplain - A Framework for Explaining the Predictions of Time Series Classifiers. - Loïc Lannelongue, Jason Grealey, Michael Inouye:
Green Algorithms: Quantifying the carbon emissions of computation. - Baoming Yan, Chen Zhou, Bo Zhao, Kan Guo, Jiang Yang, Xiaobo Li, Ming Zhang, Yizhou Wang:
Augmented Bi-path Network for Few-shot Learning. - Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy:
SpaceNet: Make Free Space For Continual Learning. - Junwu Weng, Donghao Luo, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xudong Jiang, Junsong Yuan:
Temporal Distinct Representation Learning for Action Recognition. - Juyong Zhang, Yuxin Yao, Bailin Deng:
Fast and Robust Iterative Closet Point. - Róbert Szabó, Dániel Katona, Márton Csillag, Adrián Csiszárik, Dániel Varga:
Visualizing Transfer Learning. - Dennis Craandijk, Floris Bex:
Deep Learning for Abstract Argumentation Semantics. - Kashmira Shinde, Jongseok Lee, Matthias Humt, Aydin Sezgin, Rudolph Triebel:
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry. - Yifei Shen, Yuanming Shi, Jun Zhang, Khaled B. Letaief:
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis. - Mohammad H. Mamduhi, Dipankar Maity, Sandra Hirche, John S. Baras, Karl Henrik Johansson:
Delay-sensitive Joint Optimal Control and Resource Management in Multi-loop Networked Control Systems. - David M. Beskow, Kathleen M. Carley:
Bot-Match: Social Bot Detection with Recursive Nearest Neighbors Search. - Javier Esparza, Martin Helfrich, Stefan Jaax, Philipp J. Meyer:
Peregrine 2.0: Explaining Correctness of Population Protocols through Stage Graphs. - Xiaodong Qi, Yin Yang, Zhao Zhang, Cheqing Jin, Aoying Zhou:
LinSBFT: Linear-Communication One-Step BFT Protocol for Public Blockchains. - Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. - Maria Rigaki, Sebastián García:
A Survey of Privacy Attacks in Machine Learning. - Cristina G. Fernandes, Carla Negri Lintzmayer:
Leafy Spanning Arborescences in DAGs. - Alessio Zappone, Marco Di Renzo, Xiaojun Xi, Mérouane Debbah:
On The Optimal Number of Reflecting Elements for Reconfigurable Intelligent Surfaces. - Subhadeep Maji, Rohan Kumar, Manish Bansal, Kalyani Roy, Pawan Goyal:
Logic Constrained Pointer Networks for Interpretable Textual Similarity. - Jin Cui, Zhuangzhi Xu, Yushun Wang, Chaolong Jiang:
Mass- and energy-preserving exponential Runge-Kutta methods for the nonlinear Schrödinger equation. - Jakob Bozic, Domen Tabernik, Danijel Skocaj:
End-to-end training of a two-stage neural network for defect detection. - Jonas Rauber, Matthias Bethge:
Fast Differentiable Clipping-Aware Normalization and Rescaling. - Shuai Huang, Trac D. Tran:
1-Bit Compressive Sensing via Approximate Message Passing with Built-in Parameter Estimation. - Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora:
FetchSGD: Communication-Efficient Federated Learning with Sketching. - Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jianguang Lou:
UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data. - Bo Li, Evgeniy V. Martyushev, Gim Hee Lee:
Relative Pose Estimation of Calibrated Cameras with Known SE(3) Invariants. - Vincent Christlein, Nikolaus Weichselbaumer, Saskia Limbach, Mathias Seuret:
Proof of Concept: Automatic Type Recognition. - Shashank Siripragada, Jerin Philip, Vinay P. Namboodiri, C. V. Jawahar:
A Multilingual Parallel Corpora Collection Effort for Indian Languages. - Dmitry Chistikov, Stefan Kiefer, Andrzej S. Murawski, David Purser:
The Big-O Problem for Labelled Markov Chains and Weighted Automata. - Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang:
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation. - Zehao Yu, Lei Jin, Shenghua Gao:
P2Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation. - Max Kochurov, Sergey Ivanov, Eugeny Burnaev:
Are Hyperbolic Representations in Graphs Created Equal? - Lena M. Downes, Ted J. Steiner, Jonathan P. How:
Lunar Terrain Relative Navigation Using a Convolutional Neural Network for Visual Crater Detection. - Evan Piermont, Peio Zuazo-Garin:
Failures of Contingent Thinking. - Roman V. Yampolskiy:
Human ≠ AGI. - Quentin Cohen-Solal:
Tractable Fragments of Temporal Sequences of Topological Information. - Qingshan Xu, Wenbing Tao:
PVSNet: Pixelwise Visibility-Aware Multi-View Stereo Network. - Nicola Cotumaccio, Nicola Prezza:
On Indexing and Compressing Finite Automata. - Nathaniel Lahn, Sharath Raghvendra:
An Õ(n5/4) Time ε-Approximation Algorithm for RMS Matching in a Plane. - Viswanath Nagarajan, Lily Wang:
Online Generalized Network Design Under (Dis)Economies of Scale. - Moab Arar, Noa Fish, Dani Daniel, Evgeny Tenetov, Ariel Shamir, Amit Bermano:
Focus-and-Expand: Training Guidance Through Gradual Manipulation of Input Features. - Jianhao Yan, Fandong Meng, Jie Zhou:
Dual Past and Future for Neural Machine Translation. - Yimian Dai, Stefan Oehmcke, Yiquan Wu, Kobus Barnard:
Attention as Activation. - Christoph Reisinger, Wolfgang Stockinger, Yufei Zhang:
A posteriori error estimates for fully coupled McKean-Vlasov forward-backward SDEs. - Jorge A. Mendez, Eric Eaton:
Lifelong Learning of Compositional Structures. - Fei Dong, Keyou You:
The Isoline Tracking in Unknown Scalar Fields with Concentration Feedback. - Victor A. Campos, Raul Lopes, Ana Karolinna Maia, Ignasi Sau:
Adapting the Directed Grid Theorem into an FPT Algorithm. - Nick Harmening, Marin Bilos, Stephan Günnemann:
Deep Representation Learning and Clustering of Traffic Scenarios. - Marcelo Gennari Do Nascimento, Theo W. Costain, Victor Adrian Prisacariu:
Finding Non-Uniform Quantization Schemes using Multi-Task Gaussian Processes. - Eric Rice, Laura Onasch-Vera, Graham T. DiGuiseppi, Bryan Wilder, Robin Petering, Chyna Hill, Amulya Yadav, Milind Tambe:
Preliminary Results from a Peer-Led, Social Network Intervention, Augmented by Artificial Intelligence to Prevent HIV among Youth Experiencing Homelessness. - Iuri B. C. M. Rocha, Pierre Kerfriden, F. P. van der Meer:
On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning. - Kátia Romero Felizardo, Érica Ferreira de Souza, Bianca Minetto Napoleão, Nandamudi Lankalapalli Vijaykumar, Maria Teresa Baldassarre:
Secondary Studies in the Academic Context: A Systematic Mapping and Survey. - Sandro Passarelli, Cem Gündogan, Lars Stiemert, Matthias Schopp, Peter Hillmann:
NERD: Neural Network for Edict of Risky Data Streams. - Shivam Chandhok, Vineeth N. Balasubramanian:
Enhancing Generalized Zero-Shot Learning via Adversarial Visual-Semantic Interaction. - Manuel Ladron de Guevara, Christopher George, Akshat Gupta, Daragh Byrne, Ramesh Krishnamurti:
Multimodal Word Sense Disambiguation in Creative Practice. - Nazareno Bruschi, Angelo Garofalo, Francesco Conti, Giuseppe Tagliavini, Davide Rossi:
Enabling Mixed-Precision Quantized Neural Networks in Extreme-Edge Devices. - Siladittya Manna, Saumik Bhattacharya, Umapada Pal:
Self-Supervised Representation Learning for Detection of ACL Tear Injury in Knee MRI. - Mohit Kumar Ahuja, Mohamed-Bachir Belaid, Pierre Bernabé, Mathieu Collet, Arnaud Gotlieb, Chhagan Lal, Dusica Marijan, Sagar Sen, Aizaz Sharif, Helge Spieker:
Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI. - Tiago Mendonça Lucena de Veras, Arthur F. Ramos, Ruy J. G. B. de Queiroz, Thiago D. O. Silva, Anjolina Grisi de Oliveira:
Computational Paths - A Weak Groupoid. - Eshan Chattopadhyay, Jesse Goodman:
Explicit Extremal Designs and Applications to Extractors. - (Withdrawn) Vision-Based Fall Event Detection in Complex Background Using Attention Guided Bi-directional LSTM.
- Igor Tominec, Eva Breznik:
An unfitted RBF-FD method in a least-squares setting for elliptic PDEs on complex geometries. - Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulic, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych:
AdapterHub: A Framework for Adapting Transformers. - Zhihua Liu, Lei Tong, Long Chen, Feixiang Zhou, Zheheng Jiang, Qianni Zhang, Yinhai Wang, Caifeng Shan, Ling Li, Huiyu Zhou:
CANet: Context Aware Network for 3D Brain Tumor Segmentation. - Aditya Milind Deshpande, Rumit Kumar, Ali A. Minai, Manish Kumar:
Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV with Thrust Vectoring Rotors. - Lukas Graf, Tobias Harks:
The Price of Anarchy for Instantaneous Dynamic Equilibria. - Erin Wolf Chambers, Elizabeth Munch, Tim Ophelders:
A family of metrics from the truncated smoothing of Reeb graphs. - Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen:
Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate. - Anant Khandelwal:
Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity. - Giorgia Ramponi, Marcello Restelli:
Newton-based Policy Optimization for Games. - Byeongjo Kim, Chanran Kim, Jaehoon Lee, Jein Song, Gyoungsoo Park:
Data-Efficient Deep Learning Method for Image Classification Using Data Augmentation, Focal Cosine Loss, and Ensemble. - Abderrahmen Mtibaa, Spyridon Mastorakis:
NDNTP: A Named Data Networking Time Protocol. - Lukas Graf, Tobias Harks:
A Finite Time Combinatorial Algorithm for Instantaneous Dynamic Equilibrium Flows. - Giorgia Ramponi, Gianluca Drappo, Marcello Restelli:
Inverse Reinforcement Learning from a Gradient-based Learner. - Piyush Yadav, Edward Curry:
VidCEP: Complex Event Processing Framework to Detect Spatiotemporal Patterns in Video Streams. - Marçal Mora Cantallops, Salvador Sánchez-Alonso, Elena García-Barriocanal:
A complex network analysis of the Comprehensive R Archive Network (CRAN) package ecosystem. - Alain-Jérôme Fougères, Egon Ostrosi:
Intelligent requirements engineering from natural language and their chaining toward CAD models. - Leonardo Rezende Juracy, Matheus Trevisan Moreira, Alexandre de Morais Amory, Fernando Gehm Moraes:
A Survey of Aging Monitors and Reconfiguration Techniques. - Zewen Chi, Li Dong, Furu Wei, Nan Yang, Saksham Singhal, Wenhui Wang, Xia Song, Xian-Ling Mao, Heyan Huang, Ming Zhou:
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training. - Deepak P:
Whither Fair Clustering? - Paul Tardy, David Janiszek, Yannick Estève, Vincent Nguyen:
Align then Summarize: Automatic Alignment Methods for Summarization Corpus Creation. - Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy, Yang Wang:
Few-shot Scene-adaptive Anomaly Detection. - Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin:
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. - Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber, Daniel Yamins:
Active World Model Learning with Progress Curiosity. - Jaroslav Nesetril, Patrice Ossona de Mendez, Michal Pilipczuk, Roman Rabinovich, Sebastian Siebertz:
Rankwidth meets stability. - Haneen Mohammed, Ziyun Wei, Eugene Wu, Ravi Netravali:
Continuous Prefetch for Interactive Data Applications. - Reetam Sen Biswas, Anamitra Pal, Trevor Werho, Vijay Vittal:
A Graph Theoretic Approach to Power System Vulnerability Identification. - L. Elisa Celis, Vijay Keswani:
Dialect Diversity in Text Summarization on Twitter. - Parinya Chalermsook, Syamantak Das, Bundit Laekhanukit, Yunbum Kook, Yang P. Liu, Richard Peng, Mark Sellke, Daniel Vaz:
Vertex Sparsification for Edge Connectivity. - Ruy Fabila Monroy, Daniel Perz, Ana Laura Trujillo-Negrete:
Empty Rainbow Triangles in k-colored Point Sets. - Aamir Mustafa, Rafal K. Mantiuk:
Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation. - Paul Micaelli, Amos J. Storkey:
Non-greedy Gradient-based Hyperparameter Optimization Over Long Horizons. - Xingyang Ni, Liang Fang, Heikki Huttunen:
AdaptiveReID: Adaptive L2 Regularization in Person Re-Identification. - Yunbei Xu, Assaf Zeevi:
Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits. - Uthsav Chitra, Kimberly Ding, Benjamin J. Raphael:
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies. - Aliaume Lopez:
Preservation Theorems Through the Lens of Topology. - Parinya Chalermsook, Bartosz Walczak:
Coloring and Maximum Weight Independent Set of Rectangles. - Yudhanjaya Wijeratne, Nisansa de Silva:
Sinhala Language Corpora and Stopwords from a Decade of Sri Lankan Facebook. - Ashwin Ganesan:
Performance analysis of a distributed algorithm for admission control in wireless networks under the 2-hop interference model. - Manu Goyal, Saeed Hassanpour:
A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection. - Kalliopi Basioti, George V. Moustakides:
Image De-Quantization Using Generative Models as Priors. - Abubakar Siddique, Henry Medeiros:
Tracking Passengers and Baggage Items using Multi-camera Systems at Security Checkpoints. - Jonghwa Yim, Jisung Yoo, Won-joon Do, Beomsu Kim, Jihwan Choe:
Filter Style Transfer between Photos. - Erin Wolf Chambers, Jeff Erickson, Patrick Lin, Salman Parsa:
How to Morph Graphs on the Torus. - José Daniel Pascual-Triana, David Charte, Marta Andrés Arroyo, Alberto Fernández, Francisco Herrera:
Revisiting Data Complexity Metrics Based on Morphology for Overlap and Imbalance: Snapshot, New Overlap Number of Balls Metrics and Singular Problems Prospect. - Viktor Olsson, Wilhelm Tranheden, Juliano Pinto, Lennart Svensson:
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning. - Bharat Adsul, Paul Gastin, Saptarshi Sarkar, Pascal Weil:
Wreath/cascade products and related decomposition results for the concurrent setting of Mazurkiewicz traces (extended version). - Martin Leipert, Georg Vogeler, Mathias Seuret, Andreas K. Maier, Vincent Christlein:
The Notary in the Haystack - Countering Class Imbalance in Document Processing with CNNs. - Camille Carvalho:
Layer potential identities and subtraction techniques. - Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi:
Compression strategies and space-conscious representations for deep neural networks. - Tor Anderson, Manasa Muralidharan, Priyank Srivastava, Hamed Valizadeh Haghi, Jorge Cortés, Jan Kleissl, Sonia Martínez, Byron Washom:
Frequency Regulation with Heterogeneous Energy Resources: A Realization using Distributed Control. - James B. Orlin, László A. Végh:
Directed Shortest Paths via Approximate Cost Balancing. - Joshua Dennis Booth:
Auto Adaptive Irregular OpenMP Loops. - Andreas Holm Nielsen, Alexandros Iosifidis, Henrik Karstoft:
CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds. - Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho:
Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model. - Irene Unceta, Jordi Nin, Oriol Pujol:
Differential Replication in Machine Learning. - Christopher J. Bishop:
Optimal angle bounds for quadrilateral meshes. - Lingyu Zhu, Esa Rahtu:
Separating Sounds from a Single Image. - Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang:
Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer. - Xiao Wang, Craig Macdonald, Iadh Ounis:
Deep Reinforced Query Reformulation for Information Retrieval. - Shuchi Chawla, Nikhil R. Devanur, Thodoris Lykouris:
Static pricing for multi-unit prophet inequalities. - Wenqi Wei, Qi Zhang, Ling Liu:
Bitcoin Transaction Forecasting with Deep Network Representation Learning. - Connor Colombe, Kyle Fox:
Approximating the (continuous) Fréchet distance. - Firoj Alam, Fahim Dalvi, Shaden Shaar, Nadir Durrani, Hamdy Mubarak, Alex Nikolov, Giovanni Da San Martino, Ahmed Abdelali, Hassan Sajjad, Kareem Darwish, Preslav Nakov:
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms. - Alberto Barrón-Cedeño, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Nikolay Babulkov, Bayan Hamdan, Alex Nikolov, Shaden Shaar, Zien Sheikh Ali:
Overview of CheckThat 2020: Automatic Identification and Verification of Claims in Social Media. - Xianfu Chen, Celimuge Wu, Zhi Liu, Ning Zhang, Yusheng Ji:
Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications. - Gresha Bhatia, Binoy Saha, Mansi Khamkar, Ashish Chandwani, Reshma Khot:
Stutter Diagnosis and Therapy System Based on Deep Learning. - Matt Luckcuck, Marie Farrell:
Regulating Safety and Security in Autonomous Robotic Systems. - Akshay Kumar, Jarvis D. Haupt:
Convexifying Sparse Interpolation with Infinitely Wide Neural Networks: An Atomic Norm Approach. - Kwang In Kim, Christian Richardt, Hyung Jin Chang:
Combining Task Predictors via Enhancing Joint Predictability. - Xi Chen, David M. Williams:
Versatile Mixed Methods for the Incompressible Navier-Stokes Equations. - Benjamin Sherman, Jesse Michel, Michael Carbin:
λS: Computable semantics for differentiable programming with higher-order functions and datatypes. - Albert Gordo, Filip Radenovic, Tamara L. Berg:
Attention-Based Query Expansion Learning. - Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov:
A Survey on Computational Propaganda Detection. - Hakim Hafidi, Mounir Ghogho, Philippe Ciblat, Ananthram Swami:
GraphCL: Contrastive Self-Supervised Learning of Graph Representations. - Wai Ming Tai:
New Nearly-Optimal Coreset for Kernel Density Estimation. - Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki, Frédo Durand, Hanspeter Pfister, Xavier Boix:
On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations. - Christian D. Newman, Reem S. Alsuhaibani, Michael John Decker, Anthony Peruma, Dishant Kaushik, Mohamed Wiem Mkaouer, Emily Hill:
On the Generation, Structure, and Semantics of Grammar Patterns in Source Code Identifiers. - Anupriya Vysala, Joseph Gomes:
Evaluating and Validating Cluster Results. - Hanqing Wang, Wenguan Wang, Tianmin Shu, Wei Liang, Jianbing Shen:
Active Visual Information Gathering for Vision-Language Navigation. - Minh Pham, Kaiqi Xiong:
A Survey on Security Attacks and Defense Techniques for Connected and Autonomous Vehicles. - Hiroki Tokunaga, Brian Kenji Iwana, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise:
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology. - Yuki Amano, Ayumi Igarashi, Yasushi Kawase, Kazuhisa Makino, Hirotaka Ono:
Fair Ride Allocation on a Line. - Nuno Burnay, Antónia Lopes, Vasco T. Vasconcelos:
SafeRESTScript: Statically Checking REST API Consumers. - Seth Pettie, Dingyu Wang:
Information Theoretic Limits of Cardinality Estimation: Fisher Meets Shannon. - Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang:
Inductive Link Prediction for Nodes Having Only Attribute Information. - Zongchen Chen, Andreas Galanis, Daniel Stefankovic, Eric Vigoda:
Rapid Mixing for Colorings via Spectral Independence. - Simeon E. Spasov, Alessandro Di Stefano, Pietro Liò, Jian Tang:
GRADE: Graph Dynamic Embedding. - Kanak Mahadik, Qingyun Wu, Shuai Li, Amit Sabne:
Fast Distributed Bandits for Online Recommendation Systems. - Boris Rubinstein:
A fast noise filtering algorithm for time series prediction using recurrent neural networks. - Sid Chi-Kin Chau, Shuning Shen, Yue Zhou:
Decentralized Ride-Sharing and Vehicle-Pooling Based on Fair Cost-Sharing Mechanisms. - Ryunosuke Nagayama, Ryohei Banno, Kazuyuki Shudo:
Trail: A Blockchain Architecture for Light Nodes. - Abolfazl Asudeh, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Anastasios Sidiropoulos:
Maximizing coverage while ensuring fairness: a tale of conflicting objective. - Ziyang Song, Zejian Yuan, Chong Zhang, Wanchao Chi, Yonggen Ling, Shenghao Zhang:
Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation. - Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox:
Unseen Object Instance Segmentation for Robotic Environments. - Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang:
Suppress and Balance: A Simple Gated Network for Salient Object Detection. - Austin R. Benson, Jon M. Kleinberg, Nate Veldt:
Augmented Sparsifiers for Generalized Hypergraph Cuts. - Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Memory Based Attentive Fusion. - Ali Heydarigorji, Siavash Rezaei, Mahdi Torabzadehkashi, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
HyperTune: Dynamic Hyperparameter Tuning For Efficient Distribution of DNN Training Over Heterogeneous Systems. - Saumya Bhadani, Shun Yamaya, Alessandro Flammini, Filippo Menczer, Giovanni Luca Ciampaglia, Brendan Nyhan:
Political audience diversity and news reliability in algorithmic ranking. - Yasuhiro Fujita, Kota Uenishi, Avinash Ummadisingu, Prabhat Nagarajan, Shimpei Masuda, Mario Ynocente Castro:
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators. - Peng Chang, Taskin Padir:
Model-Based Manipulation of Linear Flexible Objects with Visual Curvature Feedback. - Laurent Feuilloley, Pierre Fraigniaud, Pedro Montealegre, Ivan Rapaport, Eric Rémila, Ioan Todinca:
Local Certification of Graphs with Bounded Genus. - Yingjie Hu:
Starting with data: advancing spatial data science by building and sharing high-quality datasets. - Christopher Neff, Aneri Sheth, Steven Furgurson, Hamed Tabkhi:
EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation. - Weiming Feng, Heng Guo, Yitong Yin, Chihao Zhang:
Rapid mixing from spectral independence beyond the Boolean domain. - Langston Nashold, Rayan Krishnan:
Using LSTM and SARIMA Models to Forecast Cluster CPU Usage. - Wenxuan Zou, Haiping Huang:
Data-driven effective model shows a liquid-like deep learning. - Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song:
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis. - Jungseok Hong, Michael Fulton, Junaed Sattar:
TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris. - Paul Pu Liang, Irene Mengze Li, Emily Zheng, Yao Chong Lim, Ruslan Salakhutdinov, Louis-Philippe Morency:
Towards Debiasing Sentence Representations. - Spencer Gordon, Bijan Mazaheri, Leonard J. Schulman, Yuval Rabani:
The Sparse Hausdorff Moment Problem, with Application to Topic Models. - Kang Kim, Hee Seok Lee:
Probabilistic Anchor Assignment with IoU Prediction for Object Detection. - Amila Silva, Pei-Chi Lo, Ee-Peng Lim:
On Predicting Personal Values of Social Media Users using Community-Specific Language Features and Personal Value Correlation. - Esma Turgut, Mustafa Cenk Gursoy, Ismail Güvenç:
Energy Harvesting in Unmanned Aerial Vehicle Networks with 3D Antenna Radiation Patterns. - Yue Gao, Or Sheffet:
Private Approximations of a Convex Hull in Low Dimensions. - Pavlos Nikolopoulos, Tao Guo, Christina Fragouli, Suhas N. Diggavi:
Community aware group testing. - Xiaodong Cun, Chi-Man Pun:
Defocus Blur Detection via Depth Distillation. - Feixiang Lu, Zongdai Liu, Xibin Song, Dingfu Zhou, Wei Li, Hui Miao, Miao Liao, Liangjun Zhang, Bin Zhou, Ruigang Yang, Dinesh Manocha:
PerMO: Perceiving More at Once from a Single Image for Autonomous Driving. - Sunandan Adhikary, Ipsita Koley, Sumana Ghosh, Saurav Kumar Ghosh, Soumyajit Dey, Debdeep Mukhopadhyay:
Skip to Secure: Securing Cyber-physical Control Loops with Intentionally Skipped Executions. - David Eppstein:
Dynamic Products of Ranks. - Jian Liu, Leyang Cui, Hanmeng Liu, Dandan Huang, Yile Wang, Yue Zhang:
LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning. - Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu:
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation. - Yunxiao Qin, Weiguo Zhang, Zezheng Wang, Chenxu Zhao, Jingping Shi:
Layer-Wise Adaptive Updating for Few-Shot Image Classification. - Quanling Deng:
Analytical solutions to some generalized matrix eigenvalue problems. - Haolin Chen, Luis Rademacher:
Overcomplete order-3 tensor decomposition, blind deconvolution and Gaussian mixture models. - Yuk Heo, Yeong Jun Koh, Chang-Su Kim:
Interactive Video Object Segmentation Using Global and Local Transfer Modules. - Ron Shoham, Haim H. Permuter:
Amended Cross Entropy Cost: Framework For Explicit Diversity Encouragement. - Marzieh Edraki, Nazmul Karim, Nazanin Rahnavard, Ajmal Mian, Mubarak Shah:
Odyssey: Creation, Analysis and Detection of Trojan Models. - Eyke Hüllermeier, Johannes Fürnkranz, Eneldo Loza Mencía:
Conformal Rule-Based Multi-label Classification. - Molin Zhang, Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
Enhanced detection of fetal pose in 3D MRI by Deep Reinforcement Learning with physical structure priors on anatomy. - Emilie Charlier, Adeline Massuir, Michel Rigo, Eric Rowland:
Ultimate periodicity problem for linear numeration systems. - Rob van Glabbeek, Vincent Gramoli, Pierre Tholoniat:
Feasibility of Cross-Chain Payment with Success Guarantees. - Joanna Hong, Jung Uk Kim, Sangmin Lee, Yong Man Ro:
Comprehensive Facial Expression Synthesis using Human-Interpretable Language. - Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash:
Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning. - Gonzalo J. Anaya-Lopez, Gerardo Gómez, Francisco Javier López-Martínez:
A Product Channel Attack to Wireless Physical Layer Security. - Zhipeng Luo, Lixuan Che:
VIPriors Object Detection Challenge. - Mykhaylo Andriluka, Stefano Pellegrini, Stefan Popov, Vittorio Ferrari:
Efficient Full Image Interactive Segmentation by Leveraging Within-image Appearance Similarity. - Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin:
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. - Alireza Shojaifar, Samuel A. Fricker, Martin Gwerder:
Elicitation of SME Requirements for Cybersecurity Solutions by Studying Adherence to Recommendations. - Takuya Mieno, Solon P. Pissis, Leen Stougie, Michelle Sweering:
String Sanitization Under Edit Distance: Improved and Generalized. - Zhipeng Luo, Dawei Xu, Zhiguang Zhang:
Challenge report: VIPriors Action Recognition Challenge. - Hongyan Liu, Changtao Sheng, Li-Lian Wang, Huifang Yuan:
On diagonal dominance of FEM stiffness matrix of fractional Laplacian and maximum principle preserving schemes for fractional Allen-Cahn equation. - Maulik Bhatt, Srikant Sukumar, Amit K. Sanyal:
Rigid Body Geometric Attitude Estimator using Multi-rate Sensors. - Ning Ding, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Xiaobin Wang, Haitao Zheng:
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation. - Clément Aubert, Daniele Varacca:
Process, Systems and Tests: Three Layers in Concurrent Computation. 1-21 - Daniel Gabric, Jeffrey O. Shallit:
The Simplest Binary Word with Only Three Squares. - Olaf Op den Camp, Jacco van de Sluis:
Concept framework for the safety assessment of platooning trucks enabled by V2V communication. - Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang:
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters. - Cristina Menghini, Aris Anagnostopoulos, Eli Upfal:
Wikipedia's Network Bias on Controversial Topics. - Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee:
Learning from Noisy Labels with Deep Neural Networks: A Survey. - Alireza Shojaifar:
SMEs Confidentiality Issues and Adoption of Good Cybersecurity Practices. - Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill:
Provably Good Batch Reinforcement Learning Without Great Exploration. - Jesper Nederlof, Jakub Pawlewicz, Céline M. F. Swennenhuis, Karol Wegrzycki:
A Faster Exponential Time Algorithm for Bin Packing With a Constant Number of Bins via Additive Combinatorics. - Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Distributed Heteromodal Split Learning for Vision Aided mmWave Received Power Prediction. - Yichen Sheng, Jianming Zhang, Bedrich Benes:
SSN: Soft Shadow Network for Image Compositing. - Xuesong Niu, Zitong Yu, Hu Han, Xiaobai Li, Shiguang Shan, Guoying Zhao:
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling. - Carlos Lassance, Vincent Gripon, Gonzalo Mateos:
Graph topology inference benchmarks for machine learning. - Jion Hirose, Junya Nakamura, Fukuhito Ooshita, Michiko Inoue:
Gathering with a strong team in weakly Byzantine environments. - Luke Harries, Rebekah Storan Clarke, Timothy Chapman, Swamy V. P. L. N. Nallamalli, Levent Özgür, Shuktika Jain, Alex Leung, Steve Lim, Aaron Dietrich, José Miguel Hernández-Lobato, Tom Ellis, Cheng Zhang, Kamil Ciosek:
DRIFT: Deep Reinforcement Learning for Functional Software Testing. - Ashish Rajendra Sai, Conor Holmes, Jim Buckley, Andrew Le Gear:
Inheritance software metrics on smart contracts. - Enrico Meloni, Luca Pasqualini, Matteo Tiezzi, Marco Gori, Stefano Melacci:
SAILenv: Learning in Virtual Visual Environments Made Simple. - Po-Han Chiang, Hsuan-Kung Yang, Zhang-Wei Hong, Chun-Yi Lee:
Mixture of Step Returns in Bootstrapped DQN. - Jan Eise Fokkema, Michiel A. J. uit het Broek, Albert H. Schrotenboer, Martin J. Land, Nicky D. van Foreest:
Seasonal hydrogen storage decisions under constrained electricity distribution capacity. - Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Kayvan Najarian:
Radial basis function kernel optimization for Support Vector Machine classifiers. - Frederike Ramin, Christoph Matthies, Ralf Teusner:
More than Code: Contributions in Scrum Software Engineering Teams. - Bryn Elesedy, Varun Kanade, Yee Whye Teh:
Lottery Tickets in Linear Models: An Analysis of Iterative Magnitude Pruning. - Ioannis Caragiannis, Apostolis Kerentzis:
Simple posted pricing mechanisms for selling a divisible item. - Yassine Ouali, Céline Hudelot, Myriam Tami:
Autoregressive Unsupervised Image Segmentation. - Louis Tajan, Dirk Westhoff:
Approach for GDPR Compliant Detection of COVID-19 Infection Chains. - Alejandro Agostini, Dongheui Lee:
Efficient State Abstraction using Object-centered Predicates for Manipulation Planning. - Mohsen Ghaffari, Christoph Grunau, Václav Rozhon:
Improved Deterministic Network Decomposition. - Martín Barrère, Chris Hankin:
MaxSAT Evaluation 2020 - Benchmark: Identifying Maximum Probability Minimal Cut Sets in Fault Trees. - Ximei Wang, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Transferable Calibration with Lower Bias and Variance in Domain Adaptation. - Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen:
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning. - Vittorio Bilò, Gianpiero Monaco, Luca Moscardelli, Cosimo Vinci:
Nash Social Welfare in Selfish and Online Load Balancing. - Christoph Matthies, Franziska Dobrigkeit, Guenter Hesse:
Mining for Process Improvements: Analyzing Software Repositories in Agile Retrospectives. - Hongje Seong, Junhyuk Hyun, Euntai Kim:
Kernelized Memory Network for Video Object Segmentation. - Shaofeng Li, Shiqing Ma, Minhui Xue, Benjamin Zi Hao Zhao:
Deep Learning Backdoors. - Benjamin Doerr, Martin S. Krejca:
The Univariate Marginal Distribution Algorithm Copes Well With Deception and Epistasis. - (Withdrawn) Area- Efficient VLSI Implementation of Serial-In Parallel-Out Multiplier Using Polynomial Representation in Finite Field GF(2m).
- Troy Lee, Miklos Santha, Shengyu Zhang:
Quantum algorithms for graph problems with cut queries. - Manuel Rigger, Zhendong Su:
Detecting Optimization Bugs in Database Engines via Non-Optimizing Reference Engine Construction. - Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim:
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs. - Fady Copty, Andre Kassis, Sharon Keidar-Barner, Dov Murik:
Deep ahead-of-threat virtual patching. - Zhaoxia Yin, Longfei Ke:
Robust adaptive steganography based on dither modulation and modification with re-compression. - Jian-Jia Chen, Junjie Shi, Georg von der Brüggen, Niklas Ueter:
Scheduling of Real-Time Tasks with Multiple Critical Sections in Multiprocessor Systems. - Klaus Kursawe:
Wendy, the Good Little Fairness Widget. - Chenyang Li, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Yanfeng Wang:
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph. - Stefan Ciprian Voinea, Armir Bujari, Claudio Enrico Palazzi:
Air Quality Control through Bike Sharing Fleets. - Francisc Moldovan, Ciprian Oprisa:
A Framework for Threats Analysis Using Software-Defined Networking. - Eric Finster, David Reutter, Jamie Vicary:
A Type Theory for Strictly Unital ∞-Categories. - Jingchao Su, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Chenyang Li:
Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs. - Dan Domnita, Ciprian Oprisa:
A Genetic Algorithm for Obtaining Memory Constrained Near-Perfect Hashing. - Costas Courcoubetis, Antonis Dimakis:
The Price of Queueing. - Rafa Gálvez, Veelasha Moonsamy, Claudia Díaz:
Less is More: A privacy-respecting Android malware classifier using Federated Learning. - Andrea Brugnoli, Ghislain Haine, Anass Serhani, Xavier Vasseur:
Numerical approximation of port-Hamiltonian systems for hyperbolic or parabolic PDEs with boundary control. - Wayes Tushar, Tapan Kumar Saha, Chau Yuen, Peta Ashworth, H. Vincent Poor, Subarna Basnet:
Challenges and Prospects of Negawatt Trading in Light of Recent Technological Developments. - Bishan Wang, Jingwei He, Lei Yu, Gui-Song Xia, Wen Yang:
Event Enhanced High-Quality Image Recovery. - Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images. - Branislav M. Popovic, Peng Wang, Fredrik Berggren, Renaud-Alexandre Pitaval:
Zero Correlation Zone Sequences With Flexible Block-Repetitive Spectral Constraints. - Teng Liu, Xingyu Mu, Xiaolin Tang, Bing Huang, Hong Wang, Dongpu Cao:
Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study. - Pim de Haan, Taco Cohen, Max Welling:
Natural Graph Networks. - Waleed Ahsan, Wenqiang Yi, Zhijin Qin, Yuanwei Liu, Arumugam Nallanathan:
Resource Allocation in Uplink NOMA-IoT Networks: A Reinforcement-Learning Approach. - Leonore Winterer, Ralf Wimmer, Nils Jansen, Bernd Becker:
Strengthening Deterministic Policies for POMDPs. - Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation. - Makoto Okumura, Takeshi Fukao, Daisuke Furihata, Shuji Yoshikawa:
A second-order accurate structure-preserving scheme for the Cahn-Hilliard equation with a dynamic boundary condition. - Giulia Bernardini, Gabriele Fici, Pawel Gawrychowski, Solon P. Pissis:
Substring Complexity in Sublinear Space. - Tixiao Shan, Wei Wang, Brendan J. Englot, Carlo Ratti, Daniela Rus:
A Receding Horizon Multi-Objective Planner for Autonomous Surface Vehicles in Urban Waterways. - Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu:
Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing. - Tadas Baltrusaitis, Erroll Wood, Virginia Estellers, Charlie Hewitt, Sebastian Dziadzio, Marek Kowalski, Matthew Johnson, Thomas J. Cashman, Jamie Shotton:
A high fidelity synthetic face framework for computer vision. - Bengt J. Nilsson, David Orden, Leonidas Palios, Carlos Seara, Pawel Zylinski:
Shortest Watchman Tours in Simple Polygons under Rotated Monotone Visibility. - Yadira Lizama, Daniel Varona, Pradeep Waychal, Luiz Fernando Capretz:
The Unpopularity of the Software Tester Role among Software Practitioners: A Case Study. - Simon Bernard, Hongliu Cao, Robert Sabourin, Laurent Heutte:
Random Forest for Dissimilarity-based Multi-view Learning. - Vinkle Kumar Srivastav, Britty Baby, Ramandeep Singh, Prem Kalra, Ashish Suri:
Neuro-Endo-Trainer-Online Assessment System (NET-OAS) for Neuro-Endoscopic Skills Training. - Xinghao Chen, Yunhe Wang, Yiman Zhang, Peng Du, Chunjing Xu, Chang Xu:
Multi-Task Pruning for Semantic Segmentation Networks. - Richard Combes, Mikael Touati:
Solving Random Parity Games in Polynomial Time. - Yen-Chi Cheng, Hsin-Ying Lee, Min Sun, Ming-Hsuan Yang:
Controllable Image Synthesis via SegVAE. - Hang Du, Hailin Shi, Yuchi Liu, Jun Wang, Zhen Lei, Dan Zeng, Tao Mei:
Semi-Siamese Training for Shallow Face Learning. - Greg Bodwin, Michael Dinitz, Caleb Robelle:
Optimal Vertex Fault-Tolerant Spanners in Polynomial Time. - Susanne Röhl, Marcus Weber, Konstantin Fackeldey:
Computing the minimal rebinding effect for non-reversible processes. - Rajeev Yasarla, Vishal M. Patel:
Learning to Restore a Single Face Image Degraded by Atmospheric Turbulence using CNNs. - Abhinav Jha:
Hanging nodes in the Context of Algebraic Stabilizations for Convection-Diffusion Equations. - Santolo Leveque, John W. Pearson:
Fast Iterative Solver for the Optimal Control of Time-Dependent PDEs with Crank-Nicolson Discretization in Time. - Mickaël Zehren, Marco Alunno, Paolo Bientinesi:
Automatic Detection of Cue Points for DJ Mixing. - Martin Böhm, Franziska Eberle, Nicole Megow, Lukas Nölke, Jens Schlöter, Bertrand Simon, Andreas Wiese:
Fully Dynamic Algorithms for Knapsack Problems with Polylogarithmic Update Time. - Dou Hu, Lingwei Wei:
SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER. - Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, Iryna Gurevych:
Investigating Pretrained Language Models for Graph-to-Text Generation. - Andrea Roberti, Nicola Piccinelli, Daniele Meli, Riccardo Muradore, Paolo Fiorini:
Improving rigid 3D calibration for robotic surgery. - Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Vineeth N. Balasubramanian:
An Empirical Study on the Robustness of NAS based Architectures. - Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu:
Data Poisoning Attacks Against Federated Learning Systems. - Zhongwen Xu, Hado van Hasselt, Matteo Hessel, Junhyuk Oh, Satinder Singh, David Silver:
Meta-Gradient Reinforcement Learning with an Objective Discovered Online. - Xinqian Gu, Hong Chang, Bingpeng Ma, Hongkai Zhang, Xilin Chen:
Appearance-Preserving 3D Convolution for Video-based Person Re-identification. - Andrew W. Stephan, Steven J. Koester:
SHE-MTJ Circuits for Convolutional Neural Networks. - Hongyang Gao, Zhengyang Wang, Shuiwang Ji:
Kronecker Attention Networks. - Frederico Fernandes Afonso Silva, Juan José Quiroz-Omaña, Bruno Vilhena Adorno:
Dynamics of Serial Manipulators using Dual Quaternion Algebra. - Lingwei Wei, Dou Hu, Wei Zhou, Xuehai Tang, Xiaodan Zhang, Xin Wang, Jizhong Han, Songlin Hu:
Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis. - Dirk van der Hoeven, Ashok Cutkosky, Haipeng Luo:
Comparator-adaptive Convex Bandits. - Eric Wong, J. Zico Kolter:
Learning perturbation sets for robust machine learning. - Zhiyu Liu, Meng Jiang, Hai Lin:
Specification mining and automated task planning for autonomous robots based on a graph-based spatial temporal logic. - Ken Alparslan, Yigit Alparslan, Matthew Burlick:
Towards Evaluating Driver Fatigue with Robust Deep Learning Models. - Meng Tian, Marcelo H. Ang Jr., Gim Hee Lee:
Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation. - Vladislav Skripniuk, Ning Yu, Sahar Abdelnabi, Mario Fritz:
Black-Box Watermarking for Generative Adversarial Networks. - Alekh Agarwal, Mikael Henaff, Sham M. Kakade, Wen Sun:
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning. - Yikai Wang, Li Zhang, Yuan Yao, Yanwei Fu:
How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning. - Antonia Breuer, Jan-Aike Termöhlen, Silviu Homoceanu, Tim Fingscheidt:
openDD: A Large-Scale Roundabout Drone Dataset. - Ali Bulut Üçüncü, Gökhan Muzaffer Güvensen, Ali Özgür Yilmaz:
A Reduced Complexity Ungerboeck Receiver for Quantized Wideband Massive SC-MIMO. - Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore, Ing-Ray Chen:
Vulnerability-Aware Resilient Networks: Software Diversity-based Network Adaptation. - Julian Bitterwolf, Alexander Meinke, Matthias Hein:
Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data. - Meenakshi Das, Daniela Marghitu, Fatemeh Jamshidi, Mahender Mandala, Ayanna M. Howard:
Accessible Computer Science for K-12 Students with Hearing Impairments. - Yimin Liu, Louis J. Durlofsky:
3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels. - Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue:
Active Learning under Label Shift. - Olivia Wiles, Sébastien Ehrhardt, Andrew Zisserman:
D2D: Learning to find good correspondences for image matching and manipulation. - Ekaterina Lobacheva, Nadezhda Chirkova, Maxim Kodryan, Dmitry P. Vetrov:
On Power Laws in Deep Ensembles. - Li Yi, Boqing Gong, Thomas A. Funkhouser:
Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds. - Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry:
Do Adversarially Robust ImageNet Models Transfer Better? - Fernando Andreotti, Frank S. Heldt, Basel Abu-Jamous, Ming Li, Avelino Javer, Oliver Carr, Stojan Jovanovic, Nadezda Lipunova, Benjamin Irving, Rabia T. Khan, Robert Dürichen:
Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units. - Xin Wu, Wei Li, Danfeng Hong, Jiaojiao Tian, Ran Tao, Qian Du:
Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network. - Aaron Dharna, Julian Togelius, Lisa B. Soros:
Co-generation of game levels and game-playing agents. - Nikhila Ravi, Jeremy Reizenstein, David Novotný, Taylor Gordon, Wan-Yen Lo, Justin Johnson, Georgia Gkioxari:
Accelerating 3D Deep Learning with PyTorch3D. - Shubham Tulsiani, Nilesh Kulkarni, Abhinav Gupta:
Implicit Mesh Reconstruction from Unannotated Image Collections. - Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira:
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning. - Ari Seff, Yaniv Ovadia, Wenda Zhou, Ryan P. Adams:
SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design. - Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu:
RepPoints V2: Verification Meets Regression for Object Detection. - Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu:
World-Consistent Video-to-Video Synthesis. - Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang, Ming-Hsuan Yang, Weilong Yang:
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval. - Armaan Pishori, Brittany Rollins, Nicolas van Houten, Nisha Chatwani, Omar Uraimov:
Detecting Deepfake Videos: An Analysis of Three Techniques. - Wenjie Wan, Zhaodi Zhang, Yiwei Zhu, Min Zhang, Fu Song:
Accelerating Robustness Verification of Deep Neural Networks Guided by Target Labels. - Ananya Sheth, Joseph V. Sinfield:
Simulating Self-Organization during Strategic Change: Implications for Organizational Design. - Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, Chenliang Xu:
Talking-head Generation with Rhythmic Head Motion. - Wei Shao, Sichen Zhao, Zhen Zhang, Shiyu Wang, Mohammad Saiedur Rahaman, Andy Song, Flora Dilys Salim:
FADACS: A Few-shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing. - Diego Montezanti, Enzo Rucci, Armando De Giusti, Marcelo R. Naiouf, Dolores Rexachs, Emilio Luque:
Soft Errors Detection and Automatic Recovery based on Replication combined with different Levels of Checkpointing. - Haoyin Zhou, Jagadeesan Jayender:
Smooth Deformation Field-based Mismatch Removal in Real-time. - Neofytos Dimitriou, Ognjen Arandjelovic:
A New Look at Ghost Normalization. - Jun Wang, Shiyi Lan, Mingfei Gao, Larry S. Davis:
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling. - Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King:
Unsupervised Text Generation by Learning from Search. - Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic:
On Robustness and Transferability of Convolutional Neural Networks. - Zhiyuan Liu, Huazheng Wang, Bo Waggoner, Youjian Liu, Lijun Chen:
A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem. - Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding:
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA. - Roy D. Yates, Yin Sun, D. Richard Brown III, Sanjit K. Kaul, Eytan H. Modiano, Sennur Ulukus:
Age of Information: An Introduction and Survey. - Fernando Alonso-Fernandez, Javier Barrachina, Kevin Hernandez-Diaz, Josef Bigün:
SqueezeFacePoseNet: Lightweight Face Verification Across Different Poses for Mobile Platforms. - Farbod Khoshnoud, Ibrahim I. Esat, Shayan Javaherian, Behnam Bahr:
Quantum Entanglement and Cryptography for Automation and Control of Dynamic Systems. - Yabin Zhang, Adrianna Gillman:
An alternative extended linear system for boundary value problems on locally perturbed geometries. - Philip T. G. Jackson, Stephen Bonner, Ning Jia, Christopher J. Holder, Jonathan Stonehouse, Boguslaw Obara:
Camera Bias in a Fine Grained Classification Task. - Alexander Kozachinskiy:
Polyhedral value iteration for discounted games and energy games. - Haoyin Zhou, Jagadeesan Jayender:
Real-time Surface Deformation Recovery from Stereo Videos. - Haoyin Zhou, Tao Zhang, Jagadeesan Jayender:
Re-weighting and 1-Point RANSAC-Based PnP Solution to Handle Outliers. - Nursefa Zengin, Baris Fidan:
Lyapunov Analysis of Least Squares Based Direct Adaptive Control. - Yaowei Long, Seth Pettie:
Planar Distance Oracles with Better Time-Space Tradeoffs. - Xiong Zhou, Saurabh Prasad:
Advances in Deep Learning for Hyperspectral Image Analysis-Addressing Challenges Arising in Practical Imaging Scenarios. - Truc D. T. Nguyen, My T. Thai:
A Blockchain-based Iterative Double Auction Protocol using Multiparty State Channels. - Lan N. Nguyen, Truc D. T. Nguyen, Thang N. Dinh, My T. Thai:
OptChain: Optimal Transactions Placement for Scalable Blockchain Sharding. - Bartosz Bednarczyk, Stéphane Demri, Raul Fervari, Alessio Mansutti:
Modal Logics with Composition on Finite Forests: Expressivity and Complexity (Extra Material). - Sutanu Ghosh, Tamaghna Acharya, Santi P. Maity:
Outage Analysis in SWIPT Enabled Cooperative AF/DF Relay Assisted Two-Way Spectrum Sharing Communication. - Truc D. T. Nguyen, My T. Thai:
Denial-of-Service Vulnerability of Hash-based Transaction Sharding: Attacks and Countermeasures. - Sushant Veer, Anirudha Majumdar:
CoNES: Convex Natural Evolutionary Strategies. - Uchechi Phyllis Nwadike, Thomas Groß:
Investigation of the Effect of Incidental Fear Privacy Behavioral Intention (Technical Report). - Blagovesta Kostova, Seda F. Gürses, Carmela Troncoso:
Privacy Engineering Meets Software Engineering. On the Challenges of Engineering Privacy ByDesign. - Abhiram Iyer, Aravind Mahadevan:
Collision Avoidance Robotics Via Meta-Learning (CARML). - Christopher Thomas, Adriana Kovashka:
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval. - Alice Martin, Charles Ollion, Florian Strub, Sylvain Le Corff, Olivier Pietquin:
The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction. - Nikita Lazarev, Neil Adit, Shaojie Xiang, Zhiru Zhang, Christina Delimitrou:
Dagger: Towards Efficient RPCs in Cloud Microservices with Near-Memory Reconfigurable NICs. - Jan Kallberg:
Revisiting Strategic Cyberwar Theory Reaching Decisive Strategic Outcome. - Yang Feng, Yubao Liu, Jiebo Luo:
Universal Model for Multi-Domain Medical Image Retrieval. - Doron Laadan, Eyal Arviv, Michael Fire:
Using Data Mining for Infrastructure and Safety Violations Discovery in Cities. - Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily Robertson, Donald Loveland, Thomas Yong-Jin Han:
Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design. - Pierpaolo Loreti, Andrea Mayer, Paolo Lungaroni, Francesco Lombardo, Carmine Scarpitta, Giulio Sidoretti, Lorenzo Bracciale, Marco Ferrari, Stefano Salsano, Ahmed Abdelsalam, Rakesh Gandhi, Clarence Filsfils:
SRv6-PM: Performance Monitoring of SRv6 Networks with a Cloud-Native Architecture. - Rémy Cazabet, Souâad Boudebza, Giulio Rossetti:
Evaluating Community Detection Algorithms for Progressively Evolving Graphs. - Olivier Finkel, Dominique Lecomte:
Descriptive Set Theory and ω-Powers of Finitary Languages. - Marcin Sabok, Sam Staton, Dario Stein, Michael Wolman:
Probabilistic Programming Semantics for Name Generation. - Arnab Dey, Vivek Khatana, Ankur Mani, Murti V. Salapaka:
On Mitigating the Uncertainty in Renewable Generation in Distribution Microgrids. - Sujoy Bhore, Jean Cardinal, John Iacono, Grigorios Koumoutsos:
Dynamic Geometric Independent Set. - Max DiGiacomo-Castillo, Yiyun Liang, Advay Pal, John C. Mitchell:
Model Checking Bitcoin and other Proof-of-Work Consensus Protocols. - Haomiao Ni, Yuan Xue, Qian Zhang, Xiaolei Huang:
SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement Videos. - Christoph Heindl:
Graph Neural Networks for Node-Level Predictions. - Sondre A. Engebråten, Jonas Moen, Oleg A. Yakimenko, Kyrre Glette:
A Framework for Automatic Behavior Generation in Multi-Function Swarms. - Dominik Zurek, Marcin Pietron:
Training with reduced precision of a support vector machine model for text classification. - Andrew W. Stephan, Steven J. Koester:
Spin-Hall MTJ Cells for Intra-Column Competition in Hierarchical Temporal Memory. - Nirupama Bhattacharya, Gabriel A. Silva:
Stability and Complexity Analyses of Finite Difference Algorithms for the Time-Fractional Diffusion Equation. - Dizhong Zhu, William A. P. Smith:
Least squares surface reconstruction on arbitrary domains. - Christopher Morris, Nils M. Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, Marion Neumann:
TUDataset: A collection of benchmark datasets for learning with graphs. - Mike Zajko:
Conservative AI and social inequality: Conceptualizing alternatives to bias through social theory. - Thomas Chau, Lukasz Dudziak, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane:
BRP-NAS: Prediction-based NAS using GCNs. - Dimitris Christou, Dimitris Fotakis, Grigorios Koumoutsos:
Memoryless Algorithms for the Generalized k-server Problem on Uniform Metrics. - Ryan Blake Jackson, Tom Williams:
Enabling Morally Sensitive Robotic Clarification Requests. - Tom Williams, Torin Johnson, Will Culpepper, Kellyn Larson:
Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures. - Isadora Cardoso-Pereira, João B. Borges Neto, Pedro H. Barros, Antonio A. F. Loureiro, Osvaldo Anibal Rosso, Heitor S. Ramos:
Leveraging the Self-Transition Probability of Ordinal Pattern Transition Graph for Transportation Mode Classification. - Qisheng Zhang, Abdullah Zubair Mohammed, Zelin Wan, Jin-Hee Cho, Terrence J. Moore:
Diversity-By-Design for Dependable and Secure Cyber-Physical Systems: A Survey. - Naoki Ide, Tetsuya Asayama, Hiroshi Ueno, Masayuki Ohzeki:
Maximum-Likelihood Channel Decoding with Quantum Annealing Machine. - Oussama Smimite, Karim Afdel:
Containers Placement and Migration on Cloud System. - Karrar Abbas, Xianping Li:
Anisotropic Mesh Adaptation for Image Segmentation Based on Mumford-Shah Functional. - Wilhelm Tranheden, Viktor Olsson, Juliano Pinto, Lennart Svensson:
DACS: Domain Adaptation via Cross-domain Mixed Sampling. - Tianyu Wang, Cynthia Rudin:
Bandits for BMO Functions. - Naoki Wake, Iori Yanokura, Kazuhiro Sasabuchi, Katsushi Ikeuchi:
Verbal Focus-of-Attention System for Learning-from-Demonstration. - Zhi Zhang, Yueqiang Cheng, Dongxi Liu, Surya Nepal, Zhi Wang, Yuval Yarom:
PThammer: Cross-User-Kernel-Boundary Rowhammer through Implicit Accesses. - Sara Stoudt, Valeri N. Vasquez, Ciera C. Martinez:
Principles for data analysis workflows. - Bodo Billerbeck, Justin Zobel, Nicholas Lester, Nick Craswell:
Scalable Methods for Calculating Term Co-Occurrence Frequencies. - Alireza Tabebordbar:
Augmented Understanding and Automated Adaptation of Curation Rules. - Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho:
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources. - Haizhong Zheng, Ziqi Zhang, Honglak Lee, Atul Prakash:
Understanding and Diagnosing Vulnerability under Adversarial Attacks. - Sariel Har-Peled, Timothy Zhou:
Improved Approximation Algorithms for Tverberg Partitions. - Zhipeng Luo, Ge Li, Zhiguang Zhang:
A Technical Report for VIPriors Image Classification Challenge. - Pulkit Singh, Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths:
End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior. - Shilong Wang, Hang Liu, Anil Gaihre, Hengyong Yu:
EZLDA: Efficient and Scalable LDA on GPUs. - Francisco J. M. da Silva, Flávio Keidi Miyazawa, Ieremies V. F. Romero, Rafael C. S. Schouery:
Tight Bounds for the Price of Anarchy and Stability in Sequential Transportation Games. - Dong-Jin Kim, Xiao Sun, Jinsoo Choi, Stephen Lin, In So Kweon:
Detecting Human-Object Interactions with Action Co-occurrence Priors. - Dinh Dung, Van Kien Nguyen:
Sparse-grid sampling recovery and deep ReLU neural networks in high-dimensional approximation. - Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi:
Adaptive Task Sampling for Meta-Learning. - Sariel Har-Peled, Dániel Oláh:
Reliable Spanners for Metric Spaces. - Xinwei Sun, Wenjing Han, Lingjing Hu, Yuan Yao, Yizhou Wang:
Leveraging both Lesion Features and Procedural Bias in Neuroimaging: An Dual-Task Split dynamics of inverse scale space. - Yongjing Yin, Fandong Meng, Jinsong Su, Chulun Zhou, Zhengyuan Yang, Jie Zhou, Jiebo Luo:
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation. - Yiming Li, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shu-Tao Xia:
Backdoor Learning: A Survey. - Anurag Sarkar, Seth Cooper:
Sequential Segment-based Level Generation and Blending using Variational Autoencoders. - Benjamin Schloss, Sandeep Konam:
Towards an Automated SOAP Note: Classifying Utterances from Medical Conversations. - Kazuhiro Sasabuchi, Naoki Wake, Katsushi Ikeuchi:
Task-oriented Motion Mapping on Robots of Various Configuration using Body Role Division. - Noa Garcia, Yuta Nakashima:
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions. - Jingjie Zhu, Karthik Sundaresan, Jason W. Rupe:
Proactive Network Maintenance using Fast, Accurate Anomaly Localization and Classification on 1-D Data Series. - Kristóf Bérczi, Naonori Kakimura, Yusuke Kobayashi:
Market Pricing for Matroid Rank Valuations. - Wenbin Wang, Ruiping Wang, Shiguang Shan, Xilin Chen:
Sketching Image Gist: Human-Mimetic Hierarchical Scene Graph Generation. - Peter Gartland, Daniel Lokshtanov:
Dominated Minimal Separators are Tame (Nearly All Others are Feral). - Aiqing Fang, Xinbo Zhao, Jiaqi Yang, Shihao Cao, Yanning Zhang:
AE-Net: Autonomous Evolution Image Fusion Method Inspired by Human Cognitive Mechanism. - Danfeng Hong, Jing Yao, Xin Wu, Jocelyn Chanussot, Xiao Xiang Zhu:
Spatial-Spectral Manifold Embedding of Hyperspectral Data. - Jinglin Liu, Yi Ren, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu:
Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation. - Ayana Kawamura, Yuma Kinoshita, Takayuki Nakachi, Sayaka Shiota, Hitoshi Kiya:
A Privacy-Preserving Machine Learning Scheme Using EtC Images. - Rashmi Murthy, Yi-Hsuan Lin, Kwancheol Shin, Jennifer L. Mueller:
A direct reconstruction algorithm for the anisotropic inverse conductivity problem based on Calderón's method in the plane. - Yan Zhang, Binyu He, Li Sun:
Grad-Cam Guided Progressive Feature CutMix for Classification. - Philippe G. LeFloch, Hendrik Ranocha:
Kinetic functions for nonclassical shocks, entropy stability, and discrete summation by parts. - Viktor Seib, Benjamin Lange, Stefan Wirtz:
Mixing Real and Synthetic Data to Enhance Neural Network Training - A Review of Current Approaches. - K. V. Kadambari, Vishnu Vardhan Nimmalapudi:
Deep Learning Based Traffic Surveillance System For Missing and Suspicious Car Detection. - Kyungjin Cho, Eunjin Oh:
Optimal Algorithm for the Planar Two-Center Problem. - Yan Zhang, Zhilin Zheng, Binyu He, Li Sun:
Learning Posterior and Prior for Uncertainty Modeling in Person Re-Identification. - Subin Jeon, Seonghyeon Nam, Seoung Wug Oh, Seon Joo Kim:
Cross-Identity Motion Transfer for Arbitrary Objects through Pose-Attentive Video Reassembling. - Ramtin Afshar, Amihood Amir, Michael T. Goodrich, Pedro Matias:
Adaptive Exact Learning in a Mixed-Up World: Dealing with Periodicity, Errors, and Jumbled-Index Queries in String Reconstruction. - Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans:
Multi-Classifier selection-fusion framework: application to NDT of complex metallic parts. - Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder:
Explanation-Guided Training for Cross-Domain Few-Shot Classification. - Shiva Raj Pokhrel, Jie Ding, Jihong Park, Ok-Sun Park, Jinho Choi:
Towards Enabling Critical mMTC: A Review of URLLC within mMTC. - Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki, Zhongwen Xu, Hado van Hasselt, Satinder Singh, David Silver:
Discovering Reinforcement Learning Algorithms. - Vipin Kumar Kukkala, Sooryaa Vignesh Thiruloga, Sudeep Pasricha:
INDRA: Intrusion Detection using Recurrent Autoencoders in Automotive Embedded Systems. - Alexander A. Davydov, Stefano Marcugini, Fernanda Pambianco:
On cosets weight distributions of the doubly-extended Reed-Solomon codes of codimension 4. - Ricardo Ñanculef, Francisco Alejandro Mena, Antonio Macaluso, Stefano Lodi, Claudio Sartori:
Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing. - Hang Wang, Minghao Xu, Bingbing Ni, Wenjun Zhang:
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation. - Lei Yang, Qingqiu Huang, Huaiyi Huang, Linning Xu, Dahua Lin:
Learn to Propagate Reliably on Noisy Affinity Graphs. - Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr:
Privacy-Preserving Distributed Learning in the Analog Domain. - Philippe Loubaton, Alexis Rosuel:
Large random matrix approach for testing independence of a large number of Gaussian time series. - Alexis Rosuel, Pascal Vallet, Philippe Loubaton, Xavier Mestre:
On the frequency domain detection of high dimensional time series. - Heping Dong, Jun Lai, Peijun Li:
A highly accurate boundary integral method for the elastic obstacle scattering problem. - Jungin Park, Jiyoung Lee, Ig-Jae Kim, Kwanghoon Sohn:
SumGraph: Video Summarization via Recursive Graph Modeling. - Jérôme Bolte, Lilian Glaudin, Edouard Pauwels, Mathieu Serrurier:
A Hölderian backtracking method for min-max and min-min problems. - Yasuaki Kobayashi, Yota Otachi:
Parameterized Complexity of Graph Burning. - Nataliya Sokolovska, Pierre-Henri Wuillemin:
Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism. - Simon D. Duque Antón, Hans Dieter Schotten:
Intrusion Detection in Binary Process Data: Introducing the Hamming-distance to Matrix Profiles. - Junbin Xiao, Xindi Shang, Xun Yang, Sheng Tang, Tat-Seng Chua:
Visual Relation Grounding in Videos. - Pierre Bertrand, Michel Broniatowski, Jean-François Marcotorchino:
"Statistical Independence" versus "Logical Indetermination", two ways of generating clustering criteria through couplings : Application to graphs modularization. - Pierre Monnin, Emmanuel Bresso, Miguel Couceiro, Malika Smaïl-Tabbone, Amedeo Napoli, Adrien Coulet:
Tackling scalability issues in mining path patterns from knowledge graphs: a preliminary study. - Donglin Wang, Raja R. Sattiraju, Anjie Qiu, Sanket Partani, Hans D. Schotten:
Effect of Retransmissions on the Performance of C-V2X Communication for 5G. - Sergio Rojas, David Pardo, Pouria Behnoudfar, Victor M. Calo:
Residual minimization for goal-oriented adaptivity. - Jinyu Zhao, Yusuke Monno, Masatoshi Okutomi:
Polarimetric Multi-View Inverse Rendering. - Lu Chen, Chengfei Liu, Rui Zhou, Jiajie Xu, Jianxin Li:
Efficient Exact Algorithms for Maximum Balanced Biclique Search in Bipartite Graphs. - Alina Ene, Huy L. Nguyen, Adrian Vladu:
Adaptive Gradient Methods for Constrained Convex Optimization. - Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. - Debajit Sarma, V. Kavyasree, Manas Kamal Bhuyan:
Two-stream Fusion Model for Dynamic Hand Gesture Recognition using 3D-CNN and 2D-CNN Optical Flow guided Motion Template. - Liantao Ma, Xinyu Ma, Junyi Gao, Chaohe Zhang, Zhihao Yu, Xianfeng Jiao, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang:
CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis. - Yinzheng Gu, Yihan Pan, Shizhe Chen:
2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge. - Miao Liao, Feixiang Lu, Dingfu Zhou, Sibo Zhang, Wei Li, Ruigang Yang:
DVI: Depth Guided Video Inpainting for Autonomous Driving. - Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao:
A biological plausible audio-visual integration model for continual lifelong learning. - Tengteng Huang, Zhe Liu, Xiwu Chen, Xiang Bai:
EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection. - Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks. - Nir Ailon, Omer Leibovitch, Vineet Nair:
Sparse Linear Networks with a Fixed Butterfly Structure: Theory and Practice. - Manfred Droste, Sven Dziadek, Werner Kuich:
Greibach Normal Form for ω-Algebraic Systems and Weighted Simple ω-Pushdown Automata. - Ijaz Ahmad, Ilkka Harjula, Jarno Pinola:
Overview of Security of Virtual Mobile Networks. - Othman Sbai, Camille Couprie, Mathieu Aubry:
Impact of base dataset design on few-shot image classification. - Geeth P. Wijesiri, Jussi Haapola, Tharaka Samarasinghe:
The Effect of Multiple Access Categories on the MAC Layer Performance of IEEE 802.11p. - Christian Tiefenau, Maximilian Häring, Katharina Krombholz, Emanuel von Zezschwitz:
Security, Availability, and Multiple Information Sources: Exploring Update Behavior of System Administrators. - Matthias Lanzinger:
Tractability Beyond β-Acyclicity for Conjunctive Queries with Negation. - Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou:
A Differential Game Theoretic Neural Optimizer for Training Residual Networks. - Haoran Wang, Ying Zhang, Zhong Ji, Yanwei Pang, Lin Ma:
Consensus-Aware Visual-Semantic Embedding for Image-Text Matching. - Florian Fischer, Matthias Niedermaier, Thomas Hanka, Peter Knauer, Dominik Merli:
Analysis of Industrial Device Architectures for Real-Time Operations under Denial of Service Attacks. - Ninetta Leone, Simone Parisotto, Kasia Targonska-Hadzibabic, Spike Bucklow, Alessandro Launaro, Suzanne Reynolds, Carola-Bibiane Schönlieb:
Art Speaks Maths, Maths Speaks Art. - Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara:
Prioritized Multi-Criteria Federated Learning. - Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng:
Superpixel-Guided Label Softening for Medical Image Segmentation. - Yury Elkin, Di Liu, Vitaliy Kurlin:
A fast approximate skeleton with guarantees for any cloud of points in a Euclidean space. - Jan Niklas Böhm, Philipp Berens, Dmitry Kobak:
A Unifying Perspective on Neighbor Embeddings along the Attraction-Repulsion Spectrum. - Jian-Feng Cai, Lizhang Miao, Yang Wang, Yin Xian:
Provable Near-Optimal Low-Multilinear-Rank Tensor Recovery. - Sarah Kentsch, Savvas Karatsiolis, Andreas Kamilaris, Luca Tomhave, Maximo Larry Lopez Caceres:
Identification of Tree Species in Japanese Forests based on Aerial Photography and Deep Learning. - Ehsan Toreini, Mhairi Aitken, Kovila P. L. Coopamootoo, Karen Elliott, Vladimiro González-Zelaya, Paolo Missier, Magdalene Ng, Aad van Moorsel:
Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context. - Fabrizio Grandoni, Giuseppe F. Italiano, Aleksander Lukasiewicz, Nikos Parotsidis, Przemyslaw Uznanski:
All-Pairs LCA in DAGs: Breaking through the O(n2.5) barrier. - Krishnendu Chatterjee, Thomas A. Henzinger, Jan Otop:
Multi-dimensional Long-Run Average Problems for Vector Addition Systems with States. - Chih-Chung Hsu, Hsin-Ti Ma:
Edge-Preserving Guided Semantic Segmentation for VIPriors Challenge. - Mandy Lu, Kathleen L. Poston, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Juan Carlos Niebles, Ehsan Adeli:
Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity. - Tianheng Cheng, Xinggang Wang, Lichao Huang, Wenyu Liu:
Boundary-preserving Mask R-CNN. - Georgios Akrivis, Minghua Chen, Fan Yu, Zhi Zhou:
The energy technique for the six-step BDF method. - Håkan Runvik, Alexander Medvedev, Robin Eriksson, Stefan Engblom:
Initialization of a Disease Transmission Model. - Martín Abadi, Gordon D. Plotkin:
Smart Choices and the Selection Monad. - Eduard Enoiu, Gerald Tukseferi, Robert Feldt:
Towards a Model of Testers' Cognitive Processes: Software Testing as a Problem Solving Approach. - Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama:
Provably Consistent Partial-Label Learning. - Zhengkang He, Eric T. Chung, Jie Chen, Zhangxin Chen:
Adaptive generalized multiscale approximation of a mixed finite element method with velocity elimination. - Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit:
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild. - Zhengkang He, Eric T. Chung, Jie Chen, Zhangxin Chen:
Generalized multiscale approximation of a multipoint flux mixed finite element method for Darcy-Forchheimer model. - Jiahao Lin, Gim Hee Lee:
HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization. - Mairéad Grogan, Emin Zerman, Gareth W. Young, Aljosa Smolic:
A Case Study on Video Color Transfer: Exploring User Motivations, Expectations, and Satisfaction. - Jean Kaddour, Steindór Sæmundsson, Marc Peter Deisenroth:
Probabilistic Active Meta-Learning. - Alfio Di Mauro, Francesco Conti, Pasquale Davide Schiavone, Davide Rossi, Luca Benini:
Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node. - Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari:
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression. - Rodothea-Myrsini Tsoupidi, Roberto Castañeda Lozano, Benoit Baudry:
Constraint-Based Software Diversification for Efficient Mitigation of Code-Reuse Attacks. - Constantin-Valentin Pal, Florin Leon, Marcin Paprzycki, Maria Ganzha:
A Review of Platforms for the Development of Agent Systems. - Zachary Abel, Hugo A. Akitaya, Erik D. Demaine, Martin L. Demaine, Adam Hesterberg, Jason S. Ku, Jayson Lynch:
Escaping a Polygon. - Petrissa Zell, Bodo Rosenhahn, Bastian Wandt:
Weakly-supervised Learning of Human Dynamics. - Daniel Furrer, Marc van Zee, Nathan Scales, Nathanael Schärli:
Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures. - Rongliang Wu, Shijian Lu:
LEED: Label-Free Expression Editing via Disentanglement. - Antonia Creswell, Kyriacos Nikiforou, Oriol Vinyals, Andre Saraiva, Rishabh Kabra, Loic Matthey, Chris Burgess, Malcolm Reynolds, Richard Tanburn, Marta Garnelo, Murray Shanahan:
AlignNet: Unsupervised Entity Alignment. - Andrew J. Simmons, Scott Barnett, Jessica Rivera-Villicana, Akshat Bajaj, Rajesh Vasa:
A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects. - Taeyoung Son, Juwon Kang, Namyup Kim, Sunghyun Cho, Suha Kwak:
URIE: Universal Image Enhancement for Visual Recognition in the Wild. - Gürhan Ceylan, S. Ilker Birbil:
Low-dimensional Interpretable Kernels with Conic Discriminant Functions for Classification. - Rémi Pautrat, Viktor Larsson, Martin R. Oswald, Marc Pollefeys:
Online Invariance Selection for Local Feature Descriptors. - Tobias Harks, Max Klimm, Jannik Matuschke:
Pure Nash Equilibria in Resource Graph Games. - Eun Jung Kim, Stefan Kratsch, Marcin Pilipczuk, Magnus Wahlström:
Solving hard cut problems via flow-augmentation. - Hans L. Bodlaender, Marieke van der Wegen:
Parameterized Complexity of Scheduling Chains of Jobs with Delays. - Arnab Auddy, Ming Yuan:
Perturbation Bounds for Orthogonally Decomposable Tensors and Their Applications in High Dimensional Data Analysis. - Gregor J. Gassner, Magnus Svärd, Florian J. Hindenlang:
Stability issues of entropy-stable and/or split-form high-order schemes. - Arnold Y. S. Yeung, Shalmali Joshi, Joseph Jay Williams, Frank Rudzicz:
Sequential Explanations with Mental Model-Based Policies. - Abdolmaged Alkhulaifi, Fahad Alsahli, Irfan Ahmad:
Knowledge Distillation in Deep Learning and its Applications. - Abhijith Manchikanti Venkata, Dinesh Reddy Jeeru, Vittal K. P:
Design And Modelling An Attack on Multiplexer Based Physical Unclonable Function. - Guoxi Huang, Adrian G. Bors:
Region-based Non-local Operation for Video Classification. - Qiang Liu, Haoli Zhang, Zhaocheng Liu:
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective. - José Joaquín Bernal, Juan Jacobo Simón:
Decoding up to 4 errors in Hyperbolic-like Abelian Codes by the Sakata Algorithm. - Andreas S. Schulz, Claudio Telha:
Integer factorization and Riemann's hypothesis: Why two-item joint replenishment is hard. - Ben Weintraub, Cristina Nita-Rotaru, Stefanie Roos:
Exploiting Centrality: Attacks in Payment Channel Networks with Local Routing. - Ganchao Tan, Daqing Liu, Meng Wang, Zheng-Jun Zha:
Learning to Discretely Compose Reasoning Module Networks for Video Captioning. - Birgit van Huijgevoort, Sofie Haesaert:
Similarity quantification for linear stochastic systems as a set-theoretic control problem. - Katherine Krajovic, Nikhil Krishnaswamy, Nathaniel J. Dimick, R. Pito Salas, James Pustejovsky:
Situated Multimodal Control of a Mobile Robot: Navigation through a Virtual Environment. - Tom Le Paine, Cosmin Paduraru, Andrea Michi, Çaglar Gülçehre, Konrad Zolna, Alexander Novikov, Ziyu Wang, Nando de Freitas:
Hyperparameter Selection for Offline Reinforcement Learning. - Mehdi Elasmi, Christoph Erath, Stefan Kurz:
Non-symmetric isogeometric FEM-BEM couplings. - Camille Noufi, Prateek Verma, Jonathan Berger:
Unsupervised Representation Learning For Context of Vocal Music. - Youwei Pang, Xiaoqi Zhao, Lihe Zhang, Huchuan Lu:
Multi-scale Interactive Network for Salient Object Detection. - Gianlorenzo D'Angelo, Debashmita Poddar, Cosimo Vinci:
Improved Approximation Factor for Adaptive Influence Maximization via Simple Greedy Strategies. - Hao Liu, Pieter Abbeel:
Hybrid Discriminative-Generative Training via Contrastive Learning. - Solon Falas, Charalambos Konstantinou, Maria K. Michael:
A Modular End-to-End Framework for Secure Firmware Updates on Embedded Systems. - Xin Tang, Xu Chen, Liekang Zeng, Shuai Yu, Lin Chen:
Joint Multi-User DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence. - Umberto Michieli, Edoardo Borsato, Luca Rossi, Pietro Zanuttigh:
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild. - Kuan Cheng, Venkatesan Guruswami, Bernhard Haeupler, Xin Li:
Efficient Linear and Affine Codes for Correcting Insertions/Deletions. - Yuanyuan Zhao, Weiwei Sun, Xiaojun Wan:
Constructing a Family Tree of Ten Indo-European Languages with Delexicalized Cross-linguistic Transfer Patterns. - Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou:
Generating Person Images with Appearance-aware Pose Stylizer. - Hadi Hosseini, Vijay Menon, Nisarg Shah, Sujoy Sikdar:
Learning Desirable Matchings From Partial Preferences. - Hongge Chen, Si Si, Yang Li, Ciprian Chelba, Sanjiv Kumar, Duane S. Boning, Cho-Jui Hsieh:
Multi-Stage Influence Function. - Jan Glaubitz:
Stable High Order Quadrature Rules for Scattered Data and General Weight Functions. - Subeesh Vasu, Mateusz Kozinski, Leonardo Citraro, Pascal Fua:
TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation. - Marcel Hollenstein, David Naccache, Peter B. Rønne, Peter Y. A. Ryan, Robert Weil, Ofer Yifrach-Stav:
Preservation of DNA Privacy During the Large Scale Detection of COVID-19. - Weiwen Jiang, Lei Yang, Sakyasingha Dasgupta, Jingtong Hu, Yiyu Shi:
Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start. - Daniele Musso:
Partial local entropy and anisotropy in deep weight spaces. - Jérôme Leroux, Grégoire Sutre:
Reachability in Two-Dimensional Vector Addition Systems with States: One Test is for Free. - Omid Abbasi, Halim Yanikomeroglu, Afshin Ebrahimi, Nader Mokari Yamchi:
Trajectory Design and Power Allocation for Drone-Assisted NR-V2X Network with Dynamic NOMA/OMA. - Ranwa Al Mallah, Bilal Farooq:
Actor-based Risk Analysis for Blockchains in Smart Mobility. - Andrei A. Bulatov:
A dichotomy theorem for nonuniform CSPs simplified. - Shin Woong Sung, Hyunsuk Baek, Hyeonjun Sim, Eun Hie Kim, Hyunwoo Hwangbo, Young Jae Jang:
Breaking Moravec's Paradox: Visual-Based Distribution in Smart Fashion Retail. - Stefan Hoffmann:
Completely Reachable Automata, Primitive Groups and the State Complexity of the Set of Synchronizing Words. - Emanuele Colleoni, Philip J. Edwards, Danail Stoyanov:
Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery. - Abdallah Cheikh, Stefano Sordillo, Antonio Mastrandrea, Francesco Menichelli, Giuseppe Scotti, Mauro Olivieri:
Klessydra-T: Designing Vector Coprocessors for Multi-Threaded Edge-Computing Cores. - Álvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke:
SBI - A toolkit for simulation-based inference. - Ivan Sosnovik, Artem Moskalev, Arnold W. M. Smeulders:
Scale Equivariance Improves Siamese Tracking. - Étienne Bamas, Paritosh Garg, Lars Rohwedder:
The Combinatorial Santa Claus Problem or: How to Find Good Matchings in Non-Uniform Hypergraphs. - Daniel Schneider, Hannes Frey:
Analytical Derivation of Outage Correlation in Random Media Access with Application to Average Consensus in Wireless Networks: Extended Paper Version. - Benjamin Freixas Emery, Meredith T. Niles, Christopher M. Danforth, Peter Sheridan Dodds:
Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane María. - L. Beirão da Veiga, Claudio Canuto, Ricardo H. Nochetto, Giuseppe Vacca:
Equilibrium analysis of an immersed rigid leaflet by the virtual element method. - Rucha Kulkarni, Ruta Mehta, Setareh Taki:
Approximating Maximin Shares with Mixed Manna. - Ganga Prasad Basyal, Bhaskar Prasad Rimal, David Zeng:
A Systematic Review of Natural Language Processing for Knowledge Management in Healthcare. - Mostafa Milani, Yu Huang, Fei Chiang:
Diversifying Anonymized Data with Diversity Constraints. - Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong:
Improving Object Detection with Selective Self-supervised Self-training. - Hao-Hsiang Yang, Chao-Han Huck Yang, Yu-Chiang Frank Wang:
Wavelet Channel Attention Module with a Fusion Network for Single Image Deraining. - Antoine Hébert, Ian Marineau, Gilles Gervais, Tristan Glatard, Brigitte Jaumard:
Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning? - Taras Kucherenko, Dai Hasegawa, Naoshi Kaneko, Gustav Eje Henter, Hedvig Kjellström:
Moving fast and slow: Analysis of representations and post-processing in speech-driven automatic gesture generation. - Hendrik Bernd Petersen, Bubacarr Bah, Peter Jung:
Practical High-Throughput, Non-Adaptive and Noise-Robust SARS-CoV-2 Testing. - Nikhil Bansal, Jatin Batra, Majid Farhadi, Prasad Tetali:
Improved Approximations for Min Sum Vertex Cover and Generalized Min Sum Set Cover. - Jennifer Villareale, Ana Acosta-Ruiz, Samuel Arcaro, Thomas B. Fox, Evan Freed, Robert C. Gray, Mathias Löwe, Panote Nuchprayoon, Aleksanteri Sladek, Rush Weigelt, Yifu Li, Sebastian Risi, Jichen Zhu:
iNNk: A Multi-Player Game to Deceive a Neural Network. - Jordan R. Ubbens, Tewodros W. Ayalew, Steve Shirtliffe, Anique Josuttes, Curtis Pozniak, Ian Stavness:
AutoCount: Unsupervised Segmentation and Counting of Organs in Field Images. - Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink:
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search. - Siddharth Dixit, Meghna Chaudhary, Niteesh Sahni:
Network Learning Approaches to study World Happiness. - Leonardo Y. Schwarzstein, Rafael C. S. Schouery:
A budget-balanced and strategy-proof auction for multi-passenger ridesharing. - Xiaokang Chen, Kwan-Yee Lin, Jingbo Wang, Wayne Wu, Chen Qian, Hongsheng Li, Gang Zeng:
Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation. - Minqi Jiang, Jelena Luketina, Nantas Nardelli, Pasquale Minervini, Philip H. S. Torr, Shimon Whiteson, Tim Rocktäschel:
WordCraft: An Environment for Benchmarking Commonsense Agents. - Parminder Bhatia, Kristjan Arumae, Nima Pourdamghani, Suyog Deshpande, Ben Snively, Mona Mona, Colby Wise, George Price, Shyam Ramaswamy, Taha A. Kass-Hout:
AWS CORD19-Search: A Scientific Literature Search Engine for COVID-19. - Michael Raskin, Chana Weil-Kennedy:
Efficient Restrictions of Immediate Observation Petri Nets. - Pamela Fleischmann, Maria Kosche, Tore Koß, Florin Manea, Stefan Siemer:
The Edit Distance to k-Subsequence Universality. - Orhan Tahir Yavascan, Elif Uysal:
Analysis of Slotted ALOHA with an Age Threshold. - Miao Liao, Sibo Zhang, Peng Wang, Hao Zhu, Ruigang Yang:
Personalized Speech2Video with 3D Skeleton Regularization and Expressive Body Poses. - Yujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan M. Nguyen, Doris Y. Tsao, Anima Anandkumar:
Neural Networks with Recurrent Generative Feedback. - Arijit Bishnu, Arijit Ghosh, Gopinath Mishra, Manaswi Paraashar:
Query Complexity of Global Minimum Cut. - Daniel Garijo, Maximiliano Osorio:
OBA: An Ontology-Based Framework for Creating REST APIs for Knowledge Graphs. - Lik Hang Lee, Tristan Braud, Simo Hosio, Pan Hui:
Towards Augmented Reality-driven Human-City Interaction: Current Research and Future Challenges. - Marten van Dijk, Nhuong V. Nguyen, Toan N. Nguyen, Lam M. Nguyen, Quoc Tran-Dinh, Phuong Ha Nguyen:
Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise. - Yifan Wang, Brian Curless, Steven M. Seitz:
People as Scene Probes. - Sayed Abdullah Sadat, Mostafa Sahraei-Ardakani:
Initializing Successive Linear Programming Solver for ACOPF using Machine Learning. - Juan Du, Rui Wang, Daniel Cremers:
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization. - Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas:
Learn distributed GAN with Temporary Discriminators. - Haoran Wang, Tong Shen, Wei Zhang, Lingyu Duan, Tao Mei:
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation. - Sean Wang, Yuxiao Hu, Jason Wu:
KubeEdge.AI: AI Platform for Edge Devices. - Somaiyeh MahmoudZadeh, David M. W. Powers, Adham Atyabi:
UUV's Hierarchical DE-based Motion Planning in a Semi Dynamic Underwater Wireless Sensor Network. - Alexandra Q. Nilles, Ana Pervan, Thomas A. Berrueta, Todd D. Murphey, Steven M. LaValle:
Information Requirements of Collision-Based Micromanipulation. - Jed Mills, Jia Hu, Geyong Min:
User-Oriented Multi-Task Federated Deep Learning for Mobile Edge Computing. - Jascha Sohl-Dickstein, Peter Battaglino, Michael Robert DeWeese:
A new method for parameter estimation in probabilistic models: Minimum probability flow. - Lin Zhang, Hao Xiong, Ou Ma, Zhaokui Wang:
Multi-robot Cooperative Object Transportation using Decentralized Deep Reinforcement Learning. - Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar:
Unsupervised Controllable Generation with Self-Training. - Yoni Birman, Ziv Ido, Gilad Katz, Asaf Shabtai:
Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes. - Xingchao Peng, Yichen Li, Kate Saenko:
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation. - Dimitris Bertsimas, Vassilis Digalakis Jr.:
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme. - Caitlyn E. Seim, Steven L. Wolf, Thad E. Starner:
Wearable vibrotactile stimulation for upper extremity rehabilitation in chronic stroke: clinical feasibility trial using the VTS Glove. - Tien Do, Khiem Vuong, Stergios I. Roumeliotis, Hyun Soo Park:
Surface Normal Estimation of Tilted Images via Spatial Rectifier. - Minghua Liu, Xiaoshuai Zhang, Hao Su:
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance. - Shihao Zou, Xinxin Zuo, Yiming Qian, Sen Wang, Chi Xu, Minglun Gong, Li Cheng:
3D Human Shape Reconstruction from a Polarization Image. - Asma Aloufi, Peizhao Hu, Yongsoo Song, Kristin E. Lauter:
Computing Blindfolded on Data Homomorphically Encrypted under Multiple Keys: An Extended Survey. - Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas:
OnlineAugment: Online Data Augmentation with Less Domain Knowledge. - Yaojie Liu, Joel Stehouwer, Xiaoming Liu:
On Disentangling Spoof Trace for Generic Face Anti-Spoofing. - Hao Tang, Song Bai, Li Zhang, Philip H. S. Torr, Nicu Sebe:
XingGAN for Person Image Generation. - Tae Hyung Kim, Justin P. Haldar:
Efficient Iterative Solutions to Complex-Valued Nonlinear Least-Squares Problems with Mixed Linear and Antilinear Operators. - Bogdan Armaselu:
An APX for the Maximum-Profit Routing Problem with Variable Supply. - Boris Ginsburg:
On regularization of gradient descent, layer imbalance and flat minima. - Zhiyong Yu, Lei Han, Chao Chen, Wenzhong Guo, Zhiwen Yu:
Object Tracking by Least Spatiotemporal Searches. - Gino I. Montecinos:
An iterative scaling function procedure for solving scalar non-linear hyperbolic balance laws. - Evan Racah, Sarath Chandar:
Slot Contrastive Networks: A Contrastive Approach for Representing Objects. - Meng Liu, Hongyang Gao, Shuiwang Ji:
Towards Deeper Graph Neural Networks. - Yanting Ma, Min Kang, Jack W. Silverstein, Dror Baron:
Local Convergence of an AMP Variant to the LASSO Solution in Finite Dimensions. - S. M. Mazharul Islam, Md Ashaduzzaman Rubel Mondol, Aishwarya Pothula, Deokgun Park:
An Open-World Simulated Environment for Developmental Robotics. - Xin Deng, Ross Smith, Genevieve Quintin:
Semi-Supervised Learning Approach to Discover Enterprise User Insights from Feedback and Support. - Yuan-Hung Tsai, Jie-Hong R. Jiang, Chiao-Shan Jhang:
Bit-Slicing the Hilbert Space: Scaling Up Accurate Quantum Circuit Simulation to a New Level. - Wenzheng Tao, Riddhish Bhalodia, Erin Anstadt, Ladislav Kavan, Ross T. Whitaker, Jesse A. Goldstein:
Unsupervised Shape Normality Metric for Severity Quantification. - Artem Polyvyanyy, Alistair Moffat, Luciano García-Bañuelos:
An Entropic Relevance Measure for Stochastic Conformance Checking in Process Mining. - Rongzhe Wei, Fa Zhang, Bo Dong, Qinghua Zheng:
DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching. - Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo:
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification. - Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng:
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization. - Virginia Vassilevska Williams, Yinzhan Xu:
Monochromatic Triangles, Triangle Listing and APSP. - Tak-Wai Hui, Chen Change Loy:
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation. - Ibrahim Ahmed, Josiah P. Hanna, Stefano V. Albrecht:
Quantum-Secure Authentication via Abstract Multi-Agent Interaction. - Raj Kishore, Zohar Nussinov, Kisor Kumar Sahu:
A new nature inspired modularity function adapted for unsupervised learning involving spatially embedded networks: A comparative analysis. - Meihua Dang, Antonio Vergari, Guy Van den Broeck:
Strudel: Learning Structured-Decomposable Probabilistic Circuits. - Yong Zeng, Xiaoli Xu:
Towards Environment-Aware 6G Communications via Channel Knowledge Map. - Moritz Buchem, Lars Rohwedder, Tjark Vredeveld, Andreas Wiese:
Additive Approximation Schemes for Load Balancing Problems. - Yi Liu, Hao Yuan, Lei Cai, Shuiwang Ji:
Deep Learning of High-Order Interactions for Protein Interface Prediction. - Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun:
Drinking from a Firehose: Continual Learning with Web-scale Natural Language. - Wenshuo Ma, Tingzhong Tian, Hang Xu, Yimin Huang, Zhenguo Li:
AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling. - Sasi Kumar Murakonda, Reza Shokri:
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning. - Lorenzo Clemente, Slawomir Lasota, Radoslaw Piórkowski:
Determinisability of one-clock timed automata. - Milad Haghani, Michiel C. J. Bliemer, Bilal Farooq, Inhi Kim, Zhibin Li, Cheol Oh, Zahra Shahhoseini, Hamish MacDougall:
Applications of brain imaging methods in driving behaviour research. - Mengmeng Ge, Naeem Firdous Syed, Xiping Fu, Zubair A. Baig, Antonio Robles-Kelly:
Toward a Deep Learning-Driven Intrusion Detection Approach for Internet of Things. - Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
MTL2L: A Context Aware Neural Optimiser. - Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao:
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition. - Andrey Gorbunov, Petr Vorobev, Jimmy Chih-Hsien Peng:
Identification and Stabilization of Critical Clusters in Inverter-Based Microgrids. - Amin Jalali:
Graph-based process mining. - Yuyang Qian, Guojun Yin, Lu Sheng, Zixuan Chen, Jing Shao:
Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues. - Ruibing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen:
Temporal Complementary Learning for Video Person Re-Identification. - Weian Li, Qi Qi, Changjun Wang:
Optimally Integrating Ad Auction into E-Commerce Platforms. - Anish Krishnakumar, Samet E. Arda, A. Alper Goksoy, Sumit K. Mandal, Ümit Y. Ogras, Anderson L. Sartor, Radu Marculescu:
Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems. - Khushal Sethi:
Design Space Exploration of Algorithmic Multi-Port Memories in High-Performance Application-Specific Accelerators. - Yajie Xing, Jingbo Wang, Gang Zeng:
Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing. - Eloïse Berson, Catherine Soladié, Vincent Barrielle, Nicolas Stoiber:
A Robust Interactive Facial Animation Editing System. - Ritam Dutt, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh:
Utilizing Microblogs for Assisting Post-Disaster Relief Operations via Matching Resource Needs and Availabilities. - Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma:
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning. - Fengxiang He, Bohan Wang, Dacheng Tao:
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms. - Chaoyang Jiang, Hanqing Tian, Jibin Hu, Jiankun Zhai, Chao Wei, Jun Ni:
Learning based Predictive Error Estimation and Compensator Design for Autonomous Vehicle Path Tracking. - Parastoo Sadeghi, Shahab Asoodeh, Flávio du Pin Calmon:
Differentially Private Mechanisms for Count Queries. - Taekyung Kim, Changick Kim:
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation. - Alexander B. Veretennikov:
About a structure of easily updatable full-text indexes. - Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li:
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search. - Han Li, Hu Han, S. Kevin Zhou:
Bounding Maps for Universal Lesion Detection. - Jiaxi Wu, Songtao Liu, Di Huang, Yunhong Wang:
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection. - Placido Mursia, Vincenzo Sciancalepore, Andres Garcia-Saavedra, Laura Cottatellucci, Xavier Costa-Pérez, David Gesbert:
RISMA: Reconfigurable Intelligent Surfaces Enabling Beamforming for IoT Massive Access. - Ailing Zeng, Xiao Sun, Fuyang Huang, Minhao Liu, Qiang Xu, Stephen Lin:
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach. - Guido Montúfar, Yu Guang Wang:
Distributed Learning via Filtered Hyperinterpolation on Manifolds. - Maximilian Scholz, Richard Torkar:
An empirical study of Linespots: A novel past-fault algorithm. - Aditya Arun, C. V. Jawahar, M. Pawan Kumar:
Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances. - Ruggero Lanotte, Massimo Merro, Andrei Munteanu:
A process calculus approach to correctness enforcement of PLCs (full version). - Krishnan Srinivasarengan, Taha Boukhobza, Samir Aberkane, Vincent Laurain:
Simultaneous Detectability of Process and Sensor Faults: Application to Water Distribution Networks. - Vitaly A. Krasikov:
On Algorithmic Estimation of Analytic Complexity for Polynomial Solutions to Hypergeometric Systems. - Isha Pali, Lisa Krishania, Divya Chadha, Asmita Kandar, Gaurav Varshney, Sneha Shukla:
A Comprehensive Survey of Aadhar and Security Issues. - Yotam Sali, Aviv Zohar:
Optimizing Off-Chain Payment Networks in Cryptocurrencies. - James Scheibner, Anna Jobin, Effy Vayena:
Ethical issues with using Internet of Things devices in citizen science research: A scoping review. - Domenico Giordano, Felice Iavernaro:
Maximal-entropy driven determination of weights in least-square approximation. - Dongyun Lin, Yiqun Li, Shudong Xie, Tin Lay Nwe, Sheng Dong:
DDR-ID: Dual Deep Reconstruction Networks Based Image Decomposition for Anomaly Detection. - Seungryong Kim, Sabine Süsstrunk, Mathieu Salzmann:
Volumetric Transformer Networks. - Andreas Orthey, Sohaib Akbar, Marc Toussaint:
Multilevel Motion Planning: A Fiber Bundle Formulation. - Nikos Vasilakis, Konstantinos Kallas, Konstantinos Mamouras, Achilleas Benetopoulos, Lazar Cvetkovich:
PaSh: Light-touch Data-Parallel Shell Processing. - Jonathan Bourne:
The spring bounces back: Introducing the Strain Elevation Tension Spring embedding algorithm for network representation. - Dongyun Lin, Yanpeng Cao, Wenbing Zhu, Yiqun Li:
Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation. - Yutao Tang:
Optimal Consensus for Uncertain Multi-agent Systems by Output Feedbacks. - Purva Pruthi, Javier González, Xiaoyu Lu, Madalina Fiterau:
Structure Mapping for Transferability of Causal Models. - Alberto Santamaría-Pang, James Kubricht, Aritra Chowdhury, Chitresh Bhushan, Peter H. Tu:
Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability. - Ezio Bartocci, Laura Kovács, Miroslav Stankovic:
Analysis of Bayesian Networks via Prob-Solvable Loops. - Dong Zhang, Hanwang Zhang, Jinhui Tang, Meng Wang, Xiansheng Hua, Qianru Sun:
Feature Pyramid Transformer. - Yutao Tang, Hao Zhu, Xiaoyong Lv:
Achieving Optimal Output Consensus for Discrete-time Linear Multi-agent Systems with Disturbances Rejection. - Md Tahmid Hossain, Shyh Wei Teng, Ferdous Sohel, Guojun Lu:
Robust Image Classification Using A Low-Pass Activation Function and DCT Augmentation. - Xiaobin Hu, Wenqi Ren, John LaMaster, Xiaochun Cao, Xiaoming Li, Zechao Li, Bjoern H. Menze, Wei Liu:
Face Super-Resolution Guided by 3D Facial Priors. - Guillem Ramírez, Rumen Dangovski, Preslav Nakov, Marin Soljacic:
On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning. - Jared Tanner, Simon Vary:
Compressed sensing of low-rank plus sparse matrices. - Sergiu Ivanov, Ion Petre:
Controllability of reaction systems. - Sowmya Kamath S., Karthik K:
A Bag of Visual Words Model for Medical Image Retrieval. - Michael J. Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Heidi Howard, Faisal Nawab, Ion Stoica:
Matchmaker Paxos: A Reconfigurable Consensus Protocol [Technical Report]. - Aritra Chowdhury, James R. Kubricht, Anup Sood, Peter H. Tu, Alberto Santamaría-Pang:
ESCELL: Emergent Symbolic Cellular Language. - Rui Yan, Lingxi Xie, Jinhui Tang, Xiangbo Shu, Qi Tian:
Social Adaptive Module for Weakly-supervised Group Activity Recognition. - Hangwei Zhuang, Nabil Ettehadi:
Classification of Diabetic Retinopathy via Fundus Photography: Utilization of Deep Learning Approaches to Speed up Disease Detection. - Minghui Liao, Guan Pang, Jing Huang, Tal Hassner, Xiang Bai:
Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting. - Emma Rocheteau, Pietro Liò, Stephanie L. Hyland:
Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit. - Anna-Maria Y. Apreutesey, Anna V. Korolkova, Dmitry S. Kulyabov:
Languages for modeling the RED active queue management algorithms: Modelica vs. Julia. - Mohammadreza Baharani, Ushma Sunil, Kaustubh Manohar, Steven Furgurson, Hamed Tabkhi:
DeepDive: An Integrative Algorithm/Architecture Co-Design for Deep Separable Convolutional Neural Networks. - Yancong Lin, Silvia L. Pintea, Jan C. van Gemert:
Deep Hough-Transform Line Priors. - Rahim Dehkharghani, Hojjat Emami:
A novel approach to sentiment analysis in Persian using discourse and external semantic information. - Ali Varamesh, Tinne Tuytelaars:
MIX'EM: Unsupervised Image Classification using a Mixture of Embeddings. - Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib:
Backpropagated Gradient Representations for Anomaly Detection. - Weihong Ren, Xinchao Wang, Jiandong Tian, Yandong Tang, Antoni B. Chan:
Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets. - Mozhdeh Rouhsedaghat, Yifan Wang, Xiou Ge, Shuowen Hu, Suya You, C.-C. Jay Kuo:
FaceHop: A Light-Weight Low-Resolution Face Gender Classification Method. - Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai:
Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks. - Aditya Shinde, Prashant Doshi, Omid Setayeshfar:
Active Deception using Factored Interactive POMDPs to Recognize Cyber Attacker's Intent. - Koteswar Rao Jerripothula, Ankit Rai, Kanu Garg, Yashvardhan Singh Rautela:
Feature-level Rating System using Customer Reviews and Review Votes. - Bo-Jhang Ho, Bharathan Balaji, Mehmet Köseoglu, Sandeep Sandha, Siyou Pei, Mani B. Srivastava:
Quick Question: Interrupting Users for Microtasks with Reinforcement Learning. - Shenghe Xu, Murali S. Kodialam, T. V. Lakshman, Shivendra S. Panwar:
Tomography Based Learning for Load Distribution through Opaque Networks. - Pavithra Prabhakar, Zahra Rahimi Afzal:
Abstraction based Output Range Analysis for Neural Networks. - Rui Zhu, Xingyi Yang, Yannick Hold-Geoffroy, Federico Perazzi, Jonathan Eisenmann, Kalyan Sunkavalli, Manmohan Chandraker:
Single View Metrology in the Wild. - Bahar Taskesen, Viet Anh Nguyen, Daniel Kuhn, Jose H. Blanchet:
A Distributionally Robust Approach to Fair Classification. - Maxim A. Olshanskii, Xianmin Xu, Vladimir Yushutin:
A finite element method for Allen-Cahn equation on deforming surface. - Ming-Jun Lai, Zhaiming Shen:
A Quasi-Orthogonal Matching Pursuit Algorithm for Compressive Sensing. - Xia Tian, Sergiy Yu. Reutskiy, Zhuo-Jia Fu:
A semi-analytical collocation method for solving multi-term variable-order time fractional partial differential equations. - Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han:
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. - Adam Hastings, Simha Sethumadhavan:
A New Doctrine for Hardware Security. - Alec Dektor, Daniele Venturi:
Dynamic tensor approximation of high-dimensional nonlinear PDEs. - Arnaud Fickinger, Simon Zhuang, Dylan Hadfield-Menell, Stuart Russell:
Multi-Principal Assistance Games. - Xinwei Chen, Tong Wang, Barrett W. Thomas, Marlin W. Ulmer:
Same-Day Delivery with Fairness. - Samarth Brahmbhatt, Chengcheng Tang, Christopher D. Twigg, Charles C. Kemp, James Hays:
ContactPose: A Dataset of Grasps with Object Contact and Hand Pose. - Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi:
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding. - Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, Bernt Schiele:
Kinematic 3D Object Detection in Monocular Video. - Maunil R. Vyas, Hemanth Venkateswara, Sethuraman Panchanathan:
Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning. - Soham Dan, Hangfeng He, Dan Roth:
Understanding Spatial Relations through Multiple Modalities. - Yanyuan Qiao, Chaorui Deng, Qi Wu:
Referring Expression Comprehension: A Survey of Methods and Datasets. - Hendrik Weerts:
Physics Letters B, Physical Review Letters and arXiv publications. Correlating PLB, PRL and arXiv articles for nuclear, particle and astro-physics. - Divesh Aggarwal, Zeyong Li, Noah Stephens-Davidowitz:
A 2n/2-Time Algorithm for √n-SVP and √n-Hermite SVP, and an Improved Time-Approximation Tradeoff for (H)SVP. - Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Jon Z. Cai, Martha Palmer, Dan Roth:
From Spatial Relations to Spatial Configurations. - Yikai Wang, Fuchun Sun, Duo Li, Anbang Yao:
Resolution Switchable Networks for Runtime Efficient Image Recognition. - Yuan Cao, Yonglin Cao, San Ling, Guidong Wang:
An explicit expression for Euclidean self-dual cyclic codes of length 2k over Galois ring GR(4, m). - Lei Shi, Yuhua Cheng, Jinliang Shao, Xiaofan Wang, Yan Xu:
A Novel Nonlinear Leader-Follower Opinion Dynamics Model With Asynchronous Trust/Distrust Evolution. - Monimoy Bujarbaruah, Tony Zheng, Akhil Shetty, Martin A. Sehr, Francesco Borrelli:
Learning to Play Cup-and-Ball with Noisy Camera Observations. - Somaiyeh Mahmoud Zadeh, David M. W. Powers, Reza Bairam Zadeh:
Autonomy and Unmanned Vehicles Augmented Reactive Mission-Motion Planning Architecture for Autonomous Vehicles. - Jincheng Mei, Yangchen Pan, Martha White, Amir-massoud Farahmand, Hengshuai Yao:
Beyond Prioritized Replay: Sampling States in Model-Based RL via Simulated Priorities. - Mahmood Azhar Qureshi, Arslan Munir:
NeuroMAX: A High Throughput, Multi-Threaded, Log-Based Accelerator for Convolutional Neural Networks. - Vincent Conitzer, Zhe Feng, David C. Parkes, Eric Sodomka:
Welfare-Preserving ε-BIC to BIC Transformation with Negligible Revenue Loss. - Chaorui Deng, Ning Ding, Mingkui Tan, Qi Wu:
Length-Controllable Image Captioning. - Xihan Ma, Honglin Sun, Enwei Xu, Song Cui, Boqun Yin, Mariam Faied:
Fast Adaptable Mobile Robot Navigation in Dynamic Environment. - Zhiming Chen, Kean Chen, Weiyao Lin, John See, Hui Yu, Yan Ke, Cong Yang:
PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments. - Bin Lu, Andrew Blakers, Matthew Stocks, Cheng Cheng, Anna Nadolny:
A zero-carbon, reliable and affordable energy future in Australia. - Mahmood Azhar Qureshi, Arslan Munir:
PUF-RLA: A PUF-based Reliable and Lightweight Authentication Protocol employing Binary String Shuffling. - Chathura Widanage, Niranda Perera, Vibhatha Abeykoon, Supun Kamburugamuve, Thejaka Amila Kanewala, Hasara Maithree, Pulasthi Wickramasinghe, Ahmet Uyar, Gurhan Gunduz, Geoffrey C. Fox:
High Performance Data Engineering Everywhere. - Weiting Huang, Pengfei Ren, Jingyu Wang, Qi Qi, Haifeng Sun:
AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation. - Ruixue Tang, Chao Ma, Wei Emma Zhang, Qi Wu, Xiaokang Yang:
Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering. - Lei Yang, Wenxi Liu, Zhiming Cui, Nenglun Chen, Wenping Wang:
Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes. - Xuesu Xiao:
Risk-aware Path and Motion Planning for a Tethered Aerial Visual Assistant in Unstructured or Confined Environments. - Mrigank Rochan, Mahesh Kumar Krishna Reddy, Linwei Ye, Yang Wang:
Adaptive Video Highlight Detection by Learning from User History. - Huck Bennett, Anindya De, Rocco A. Servedio, Emmanouil-Vasileios Vlatakis-Gkaragkounis:
Reconstructing weighted voting schemes from partial information about their power indices. - Rakshit Sunil Kothari, Aayush K. Chaudhary, Reynold J. Bailey, Jeff B. Pelz, Gabriel J. Diaz:
EllSeg: An Ellipse Segmentation Framework for Robust Gaze Tracking. - Michael Poli, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, Jinkyoo Park:
Hypersolvers: Toward Fast Continuous-Depth Models. - Wenpeng Yin:
Meta-learning for Few-shot Natural Language Processing: A Survey. - Carla Schenker, Jeremy E. Cohen, Evrim Acar:
A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings. - Yu-Tong Cao, Jingya Wang, Dacheng Tao:
Symbiotic Adversarial Learning for Attribute-based Person Search. - Malong Ke, Zhen Gao, Yongpeng Wu, Xiqi Gao, Kai-Kit Wong:
Massive Access in Cell-Free Massive MIMO-Based Internet of Things: Cloud Computing and Edge Computing Paradigms. - Yufang Huang, Pingbing Ming, Siqi Song:
An Efficient Online-Offline Method for Elliptic Homogenization Problems. - Emeka Obiodu, Nishanth Sastry:
From ATM to MPLS and QCI: The Evolution of Differentiated QoS Standards and Implications for 5G Network Slicing. - Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello:
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. - Zahra Rahimi Afzal, Pavana Prabhakar, Pavithra Prabhakar:
Optimal tool path planning for 3D printing with spatio-temporal and thermal constraints. - MinKeun Chung, Liang Liu, Ove Edfors:
Phase-Noise Compensation for OFDM Systems Exploiting Coherence Bandwidth: Modeling, Algorithms, and Analysis. - Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, Junyeop Lee, Daehyun Nam, Hwalsuk Lee:
Character Region Attention For Text Spotting. - Pengfei Huang, Qingzhi Yang:
Solving the Global Optimum of a Class of Minimization Problem. - Ci Chen, Yuanfang Wan, Baowei Li, Chen Wang, Guangming Xie, Huanyu Jiang:
Motion Planning for Heterogeneous Unmanned Systems under Partial Observation from UAV. - Yanhao Wang, Michael Mathioudakis, Yuchen Li, Kian-Lee Tan:
GRMR: Generalized Regret-Minimizing Representatives. - Martin Halla:
Analysis of radial complex scaling methods: scalar resonance problems. - Kazuya Ueki, Tomoka Kojima:
Survey on Deep Learning-based Kuzushiji Recognition. - Yasset Pérez-Riverol:
Trends in Cuban research output: publications and patents. - Amos Korman, Yuval Emek, Simon Collet, Aya Goldshtein, Yossi Yovel:
Exploitation of Multiple Replenishing Resources with Uncertainty. - Kennedy E. Ehimwenma, Sujatha Krishnamoorthy:
Design and Analysis of a Multi-Agent E-Learning System Using Prometheus Design Tool. - Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng:
Adversarial Immunization for Improving Certifiable Robustness on Graphs. - Changyi Xiao, Ligang Liu:
Generative Flows with Matrix Exponential. - Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin:
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets. - Chereen Shurafa, Kareem Darwish, Wajdi Zaghouani:
Political Framing: US COVID19 Blame Game. - Yuan Zheng, Suzhi Bi, Ying-Jun Angela Zhang, Hui Wang:
Throughput Optimization of Intelligent Reflecting Surface Assisted User Cooperation in WPCNs. - Denis Lukovnikov, Jens Lehmann, Asja Fischer:
Improving the Long-Range Performance of Gated Graph Neural Networks. - Wenxi Li, Zhuoqun Cao, Qian Wang, Songjian Chen, Rui Feng:
Learning Error-Driven Curriculum for Crowd Counting. - Talip Ucar, Adrian Gonzalez-Martin, Matthew Lee, Adrian Daniel Szwarc:
One-Shot Learning for Language Modelling. - David A. Broniatowski, Daniel Kerchner, Fouzia Farooq, Xiaolei Huang, Amelia M. Jamison, Mark Dredze, Sandra Crouse Quinn:
The COVID-19 Social Media Infodemic Reflects Uncertainty and State-Sponsored Propaganda. - Haiyang He, Jay Pathak:
An unsupervised learning approach to solving heat equations on chip based on Auto Encoder and Image Gradient. - Nga Than, Maria Y. Rodriguez, Diane Yoong, Friederike Windel:
Welcome to Gab Alt Right Discourses. - Hanzhe Hu, Deyi Ji, Weihao Gan, Shuai Bai, Wei Wu, Junjie Yan:
Class-wise Dynamic Graph Convolution for Semantic Segmentation. - Xiaoqi Li, Ting Chen, Xiapu Luo, Tao Zhang, Le Yu, Zhou Xu:
STAN: Towards Describing Bytecodes of Smart Contract. - Miao He, Jianbing Ni, Dongxiao Liu, Haomiao Yang, Xuemin Shen:
Private, Fair, and Verifiable Aggregate Statistics for Mobile Crowdsensing in Blockchain Era. - Milan Pultar:
Improving the HardNet Descriptor. - Isa Inuwa-Dutse, Ioannis Korkontzelos:
A curated collection of COVID-19 online datasets. - Yi Liu, Sahil Garg, Jiangtian Nie, Yang Zhang, Zehui Xiong, Jiawen Kang, M. Shamim Hossain:
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach. - Emmanouil Rigas, Enrico H. Gerding, Sebastian Stein, Sarvapali D. Ramchurn, Nick Bassiliades:
Mechanism Design for Efficient Online and Offline Allocation of Electric Vehicles to Charging Stations. - Atchutananda Surampudi:
Analyzing Optical TDMA to Mitigate Interference in Downlink LiFi Optical Attocell Networks. - Atchutananda Surampudi:
Coverage Analysis of a Thinned LiFi Optical Attocell Network. - Weizeng Lu, Xi Jia, Weicheng Xie, Linlin Shen, Yicong Zhou, Jinming Duan:
Geometry Constrained Weakly Supervised Object Localization. - Tiago M. Vale, João Leitão, Nuno M. Preguiça, Rodrigo Rodrigues, Ricardo J. Dias, João M. Lourenço:
Lazy State Determination: More concurrency for contending linearizable transactions. - Migran N. Gevorkyan, Anna V. Korolkova, Dmitry S. Kulyabov:
Approaches to the implementation of generalized complex numbers in the Julia language. - Paul Zhang, Josh Vekhter, Edward Chien, David Bommes, Etienne Vouga, Justin Solomon:
Octahedral Frames for Feature-Aligned Cross-Fields. - Gabriel L. Oliveira, Senthil Kumar Yogamani, Wolfram Burgard, Thomas Brox:
Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation. - Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis:
A Generic Visualization Approach for Convolutional Neural Networks. - Diego de Vargas Feijó, Viviane Pereira Moreira:
Mono vs Multilingual Transformer-based Models: a Comparison across Several Language Tasks. - Yishay Mansour, Mehryar Mohri, Ananda Theertha Suresh, Ke Wu:
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data. - Shasha Li, Shitong Zhu, Sudipta Paul, Amit K. Roy-Chowdhury, Chengyu Song, Srikanth V. Krishnamurthy, Ananthram Swami, Kevin S. Chan:
Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency. - Ricardo Sanchez-Matilla, Chau Yi Li, Ali Shahin Shamsabadi, Riccardo Mazzon, Andrea Cavallaro:
Exploiting vulnerabilities of deep neural networks for privacy protection. - Yangyang Fu, Xu Han, Jessica Stershic, Wangda Zuo, Kyri Baker, Jianming Lian:
Multi-stage Power Scheduling Framework for Data Center with Chilled Water Storage in Energy and Regulation Markets. - Ali Yekkehkhany, Rakesh Nagi:
Risk-Averse Equilibrium for Autonomous Vehicles in Stochastic Congestion Games. - Sariel Har-Peled, Rajgopal Varadharajan:
Shortest Secure Path in a Voronoi Diagram. - Brielen Madureira, David Schlangen:
An Overview of Natural Language State Representation for Reinforcement Learning. - Rujeko Chinomona, Daniel R. Reynolds:
Implicit-explicit multirate infinitesimal methods. - Wen Zhang, Liang Zhan, Paul Thompson, Yalin Wang:
Deep Representation Learning For Multimodal Brain Networks. - Rohun Tripathi, Vasu Singla, Mahyar Najibi, Bharat Singh, Abhishek Sharma, Larry Davis:
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors. - Andrew Estornell, Sanmay Das, Edith Elkind, Yevgeniy Vorobeychik:
Election Control by Manipulating Issue Significance. - Deborsi Basu, Uttam Ghosh, Raja Datta:
Adaptive Control Plane Load Balancing in vSDN Enabled 5G Network. - Ariel Ruiz-Garcia, Vasile Palade, Mark Elshaw, Mariette Awad:
Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition. - Raed Jaberi:
2-blocks in strongly biconnected directed graphs. - Mucun Tian, Chun Guo, Vito Ostuni, Zhen Zhu:
Counterfactual Learning to Rank using Heterogeneous Treatment Effect Estimation. - Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen:
Performance Evaluation of Differential Privacy Mechanisms in Blockchain based Smart Metering. - Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas, Stefanos Zafeiriou:
Learning to Generate Customized Dynamic 3D Facial Expressions. - Viviana Niño-Celis, Diego Armando Rueda-Gómez, Élder Jesús Villamizar-Roa:
Convergence and positivity of finite element methods for a haptotaxis model of tumoral invasion. - Ritam Jyoti Sarmah, Yunpeng Ding, Di Wang, Cheuk Yin Phipson Lee, Toby Jia-Jun Li, Xiang 'Anthony' Chen:
Geno: A Developer Tool for Authoring Multimodal Interaction on Existing Web Applications. - Liang Zhao:
Event Prediction in Big Data Era: A Systematic Survey. - Yi-Jun Chang, Varsha Dani, Thomas P. Hayes, Seth Pettie:
The Energy Complexity of BFS in Radio Networks. - Hassan Dbouk, Hetul Sanghvi, Mahesh Mehendale, Naresh R. Shanbhag:
DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks. - Marina Dubova, Arseny Moskvichev, Robert L. Goldstone:
Reinforcement Communication Learning in Different Social Network Structures. - Yongbin Gu, Wenxuan Wu, Yunfan Li, Lizhong Chen:
UVMBench: A Comprehensive Benchmark Suite for Researching Unified Virtual Memory in GPUs. - Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri:
A Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping. - Haochuan Zhang, Qiuyun Zou, Hongwen Yang:
Estimation for High-Dimensional Multi-Layer Generalized Linear Model - Part I: The Exact MMSE Estimator. - Qiuyun Zou, Haochuan Zhang, Hongwen Yang:
Estimation for High-Dimensional Multi-Layer Generalized Linear Model - Part II: The ML-GAMP Estimator. - Fa-Ting Hong, Xuanteng Huang, Weihong Li, Wei-Shi Zheng:
MINI-Net: Multiple Instance Ranking Network for Video Highlight Detection. - Isa Inuwa-Dutse, Mark Liptrott, Ioannis Korkontzelos:
Migration and Refugee Crisis: a Critical Analysis of Online Public Perception. - Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Xue Lin, Bin Ren:
Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. - Wentao Bao, Qi Yu, Yu Kong:
Object-Aware Centroid Voting for Monocular 3D Object Detection. - Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, Amanpreet Singh:
Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation. - S. Anil Kumar, N. S. Narayanaswamy:
A polynomial time 12-approximation algorithm for restricted Santa Claus problem {\em (Subsequently a 4-Approximation Algorithm). - Jiaming Song, Stefano Ermon:
Multi-label Contrastive Predictive Coding. - Michael Horrell:
Wide Boosting. - Hao Ding, Songsong Wu, Hao Tang, Fei Wu, Guangwei Gao, Xiao-Yuan Jing:
Cross-View Image Synthesis with Deformable Convolution and Attention Mechanism. - Matheesha Fernando, Janaka Wijayanayake:
Novel Approach to Use HU Moments with Image Processing Techniques for Real Time Sign Language Communication. - Shih-Hung Liu, Shang-Yi Yu, Shao-Chi Wu, Hwann-Tzong Chen, Tyng-Luh Liu:
Learning Gaussian Instance Segmentation in Point Clouds. - Jianchao Wu, Zhanghui Kuang, Limin Wang, Wayne Zhang, Gangshan Wu:
Context-Aware RCNN: A Baseline for Action Detection in Videos. - Mohammad Ghafari, Timm Gross, Davide Fucci, Michael Felderer:
Why Research on Test-Driven Development is Inconclusive? - Chun-Hung Liu, Di-Chun Liang, Md. Asif Syed, Rung-Hung Gau:
A 3D Tractable Model for UAV-Enabled Cellular Networks With Multiple Antennas. - Boren Li, Po-Yu Zhuang, Jian Gu, Mingyang Li, Ping Tan:
Interpretable Foreground Object Search As Knowledge Distillation. - Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction. - Sariel Har-Peled, Mitchell Jones:
Stabbing Convex Bodies with Lines and Flats. - Yuan Zhou, Mingfei Wang, Ruolin Wang, Shuwei Huo:
Graph Neural Network for Video-Query based Video Moment Retrieval. - Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar, Hui Su:
Frustratingly Hard Evidence Retrieval for QA Over Books. - Yeganeh M. Marghi, Rohan Gala, Uygar Sümbül:
Joint Learning of Discrete and Continuous Variability with Coupled Autoencoding Agents. - Wenpeng Wei, Toshiko Aizono:
DeepCO: Offline Combinatorial Optimization Framework Utilizing Deep Learning. - Haisheng Su, Jinyuan Feng, Hao Shao, Zhenyu Jiang, Manyuan Zhang, Wei Wu, Yu Liu, Hongsheng Li, Junjie Yan:
Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020. - Alex Karpov, Jacob Liberman, Dillon J. Lohr, Oleg Komogortsev:
Parallel Oculomotor Plant Mathematical Model for Large Scale Eye Movement Simulation. - Barak Sober, Ingrid Daubechies, Robert Ravier:
Approximating the Riemannian Metric from Point Clouds via Manifold Moving Least Squares. - Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert:
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation. - Simin Liu, Tianrui Liu, Ali Vakilian, Yulin Wan, David P. Woodruff:
On Learned Sketches for Randomized Numerical Linear Algebra. - Sai Bi, Zexiang Xu, Kalyan Sunkavalli, Milos Hasan, Yannick Hold-Geoffroy, David J. Kriegman, Ravi Ramamoorthi:
Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images. - Shyam Narayanan:
Tolerant Distribution Testing in the Conditional Sampling Model. - Tz-Ying Wu, Pedro Morgado, Pei Wang, Chih-Hui Ho, Nuno Vasconcelos:
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier. - Hang Zhou, Xudong Xu, Dahua Lin, Xiaogang Wang, Ziwei Liu:
Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separation. - Xiangyang Mou, Brandyn Sigouin, Ian Steenstra, Hui Su:
Multimodal Dialogue State Tracking By QA Approach with Data Augmentation. - François Bry:
Coinduction Plain and Simple. - Yangyuanchen Liu, Kexin Weng, Yongxing Shen:
A Manifold Learning Approach to Accelerate Phase Field Fracture Simulations in the Representative Volume Element. - Nupur Thakur, Yuzhen Ding, Baoxin Li:
Evaluating a Simple Retraining Strategy as a Defense Against Adversarial Attacks. - Shuai Jia, Chao Ma, Yibing Song, Xiaokang Yang:
Robust Tracking against Adversarial Attacks. - Fangqing Tan, Peiran Wu, Yik-Chung Wu, Minghua Xia:
Energy-Efficient Non-Orthogonal Multicast and Unicast Transmission of Cell-Free Massive MIMO Systems with SWIPT. - Benjamin Sliwa, Rick Adam, Christian Wietfeld:
Acting Selfish for the Good of All: Contextual Bandits for Resource-Efficient Transmission of Vehicular Sensor Data. - Kenan E. Ak, Ning Xu, Zhe Lin, Yilin Wang:
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation. - Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho:
MotionSqueeze: Neural Motion Feature Learning for Video Understanding. - Shuqin Gao, Costas Courcoubetis, Lingjie Duan:
Distributed Double Auctions for Large-Scale Device-to-Device Resource Trading. - Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He:
TENet: Triple Excitation Network for Video Salient Object Detection. - Parosh Aziz Abdulla, Mohamed Faouzi Atig, Adwait Godbole, Shankaranarayanan Krishna, Viktor Vafeiadis:
The Decidability of Verification under Promising 2.0. - Jun Kwan, Chinkye Tan, Akansel Cosgun:
Gesture Recognition for Initiating Human-to-Robot Handovers. - Cornelis A. Middelburg:
Program algebra for random access machine programs. - Alvaro Valcarce, Jakob Hoydis:
Towards Joint Learning of Optimal Signaling and Wireless Channel Access. - Clément Cancès, Virginie Ehrlacher, Laurent Monasse:
Finite volumes for the Stefan-Maxwell cross-diffusion system. - Hai Victor Habi, Roy H. Jennings, Arnon Netzer:
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs. - Daniel Hein, Steffen Limmer, Thomas A. Runkler:
Interpretable Control by Reinforcement Learning. - James A. Grant, Roberto Szechtman:
Filtered Poisson Process Bandit on a Continuum. - Shaoteng Liu, Lijun Gong, Kai Ma, Yefeng Zheng:
GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy. - Christopher J. Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-Robert Müller, Pan Kessel:
Fairwashing Explanations with Off-Manifold Detergent. - Simone Balloccu, Ehud Reiter, Alexandra Johnstone, Claire Fyfe:
How are you? Introducing stress-based text tailoring. - Riccardo Barbano, Chen Zhang, Simon R. Arridge, Bangti Jin:
Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent. - Rajeev Muralidhar, Renata Borovica-Gajic, Rajkumar Buyya:
Energy Efficient Computing Systems: Architectures, Abstractions and Modeling to Techniques and Standards. - Lijun Gong, Kai Ma, Yefeng Zheng:
Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications. - Ivano Lauriola, Fabio Aiolli:
MKLpy: a python-based framework for Multiple Kernel Learning. - Amani Abusafia, Athman Bouguettaya, Sajib Mistry:
Incentive-Based Selection and Composition of IoT Energy Services. - Pedro F. Da Costa, Romy Lorenz, Ricardo Pio Monti, Emily J. H. Jones, Robert Leech:
Bayesian optimization for automatic design of face stimuli. - Wonjik Kim, Asako Kanezaki, Masayuki Tanaka:
Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering. - Pranay Pasula:
Lagrangian Duality in Reinforcement Learning. - Kristijan Bartol, David Bojanic, Tomislav Pribanic, Tomislav Petkovic, Yago Diez Donoso, Joaquim Salvi Mas:
On the Comparison of Classic and Deep Keypoint Detector and Descriptor Methods. - Ming Zeng, Wanming Hao, Octavia A. Dobre, Zhiguo Ding, H. Vincent Poor:
Power Minimization for Multi-cell Uplink NOMA with Imperfect SIC. - Ming Zeng, E. B. Mohamed, Octavia A. Dobre, Paul Fortier, Quoc-Viet Pham:
Energy-Efficient Resource Allocation for IRS-Assisted Multi-Antenna Uplink Systems. - Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng:
Deep Image Clustering with Category-Style Representation. - Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng:
A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation. - Kent-André Mardal, Marie E. Rognes, Travis B. Thompson:
Accurate Discretization Of Poroelasticity Without Darcy Stability - Stokes-Biot Stability Revisited. - Sepehr Rezvani, Nader Mokari, Mohammad R. Javan, Eduard A. Jorswieck:
Resource Allocation in Virtualized CoMP-NOMA HetNets: Multi-Connectivity for Joint Transmission. - Juan Heredia, Miguel Altamirano Cabrera, Jonathan Tirado, Vladislav Panov, Dzmitry Tsetserukou:
CobotGear: Interaction with Collaborative Robots using Wearable Optical Motion Capturing Systems. - Teodora Popordanoska, Mohit Kumar, Stefano Teso:
Toward Machine-Guided, Human-Initiated Explanatory Interactive Learning. - Jakub Hvezda, Miroslav Kulich, Libor Preucil:
On Randomized Searching for Multi-robot Coordination. - Abhishek Singh, Surya Pratap Singh Parmar:
Voice@SRIB at SemEval-2020 Task [9, 12]: Sentiment and Offensiveness detection in Social Media. - Anthony Berthelier, Yongzhe Yan, Thierry Chateau, Christophe Blanc, Stefan Duffner, Christophe Garcia:
Learning Sparse Filters in Deep Convolutional Neural Networks with a l1/l2 Pseudo-Norm. - Haibao Yu, Qi Han, Jianbo Li, Jianping Shi, Guangliang Cheng, Bin Fan:
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization. - Y. Ugur Ozcan, Özgür Özdemir, Gunes Karabulut-Kurt:
Reconfigurable Intelligent Surfaces for the Connectivity of Autonomous Vehicles. - Alessia Patton, Pablo Antolin, John-Eric Dufour, Josef Kiendl, Alessandro Reali:
Accurate equilibrium-based interlaminar stress recovery for isogeometric laminated composite Kirchhoff plates. - Andrea Munari:
Modern Random Access: an Age of Information Perspective on Irregular Repetition Slotted ALOHA. - Daniel Barath, Michal Polic, Wolfgang Förstner, Torsten Sattler, Tomás Pajdla, Zuzana Kukelova:
Making Affine Correspondences Work in Camera Geometry Computation. - Xiangtai Li, Xia Li, Li Zhang, Guangliang Cheng, Jianping Shi, Zhouchen Lin, Shaohua Tan, Yunhai Tong:
Improving Semantic Segmentation via Decoupled Body and Edge Supervision. - Michaela Brejchová, Miroslav Kulich, Jan Petrs, Libor Preucil:
Modelling, Simulation, and Planning for the MoleMOD System. - Philipp Kratzer, Niteesh Balachandra Midlagajni, Marc Toussaint, Jim Mainprice:
Anticipating Human Intention for Full-Body Motion Prediction in Object Grasping and Placing Tasks. - Elena Morotti, Elena Loli Piccolomini:
Optimization methods for very accurate Digital Breast Tomosynthesis image reconstruction. - Louis Mahon, Eleonora Giunchiglia, Bowen Li, Thomas Lukasiewicz:
Knowledge Graph Extraction from Videos. - Christopher J. Bishop:
Nonobtuse triangulations of PSLGs. - Jinsun Park, Kyungdon Joo, Zhe Hu, Chi-Kuei Liu, In So Kweon:
Non-Local Spatial Propagation Network for Depth Completion. - Rafael C. Cardoso, Marie Farrell, Matt Luckcuck, Angelo Ferrando, Michael Fisher:
Heterogeneous Verification of an Autonomous Curiosity Rover. - Gabriela Montenegro de Barros, Valdecy Pereira:
Electre Tree A Machine Learning Approach to Infer Electre Tri B Parameters. - Dmitry A. Lachinov, Alexandra Getmanskaya, Vadim Turlapov:
Cephalometric Landmark Regression with Convolutional Neural Networks on 3D Computed Tomography Data. - William Robert Saunders, James Grant, Eike Hermann Müller:
Parallel Performance of ARM ThunderX2 for Atomistic Simulation Algorithms. - Flávio Arthur O. Santos, Hendrik T. Macedo, Thiago Dias Bispo, Cleber Zanchettin:
Morphological Skip-Gram: Using morphological knowledge to improve word representation. - Dusko Pavlovic:
Retracing some paths in categorical semantics: From process-propositions-as-types to categorified real numbers and monoidal computers. - Surabhi S. Nath, Vishaal Udandarao, Jainendra Shukla:
It's LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment. - Niloofar Yazdani, Lars Nielsen, Daniel E. Lucani:
Memory-aware Online Compression of CAN Bus Data for Future Vehicular Systems. - Gaël Écorchard, Karel Kosnar, Libor Preucil:
Wearable camera-based human absolute localization in large warehouses. - Christopher J. Bishop:
Quadrilateral meshes for PSLGs. - Tian Xu, Jennifer White, Sinan Kalkan, Hatice Gunes:
Investigating Bias and Fairness in Facial Expression Recognition. - Souhaib Douass, M'hamed Aït Kbir:
Flood zones detection using a runoff model built on Hexagonal shape based cellular automata. - Ivan Eichhardt, Daniel Barath:
Relative Pose from Deep Learned Depth and a Single Affine Correspondence. - Huimin Xu, Zhicong Chen, Ruiqi Li, Cheng-Jun Wang:
The Geometry of Information Cocoon: Analyzing the Cultural Space with Word Embedding Models. - Miroslav Kulich, Jirí Kubalík, Libor Preucil:
An Integrated Approach to Goal Selection in Mobile Robot Exploration. - Jacopo Tagliabue, Bingqing Yu:
Shopping in the Multiverse: A Counterfactual Approach to In-Session Attribution. - Anirban Lahiri, Utanko Mitra, Sunreeta Sen, Mreenal Chakraborty, Max Kleiman-Weiner, Rajlakshmi Guha, Pabitra Mitra, Anupam Basu, Partha Pratim Chakraborty:
Antarjami: Exploring psychometric evaluation through a computer-based game. - Amirhoshang Hoseinpour Dehkordi, Majid Alizadeh, Ebrahim Ardeshir-Larijani, Ali Movaghar:
MASKS: A Multi-Artificial Neural Networks System's verification approach. - Zhe Li, Lianwen Jin, Songxuan Lai, Yecheng Zhu:
Improving Attention-Based Handwritten Mathematical Expression Recognition with Scale Augmentation and Drop Attention. - Sebastian Weiss, Mustafa Isik, Justus Thies, Rüdiger Westermann:
Learning Adaptive Sampling and Reconstruction for Volume Visualization. - Mario Randazzo, Simona E. Rombo:
A Big Data Approach for Sequences Indexing on the Cloud via Burrows Wheeler Transform. - Victoria Snorovikhina, Alexey Zaytsev:
Unsupervised anomaly detection for discrete sequence healthcare data. - Reinhard Heckel, Fatih Furkan Yilmaz:
Early Stopping in Deep Networks: Double Descent and How to Eliminate it. - Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä:
Computing stable resultant-based minimal solvers by hiding a variable. - Guillaume Coiffier, Ghouthi Boukli Hacene, Vincent Gripon:
ThriftyNets : Convolutional Neural Networks with Tiny Parameter Budget. - Miroslav Kulich, Tomás Novák, Libor Preucil:
Push, Stop, and Replan: An Application of Pebble Motion on Graphs to Planning in Automated Warehouses. - Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
Monte Carlo Dropout Ensembles for Robust Illumination Estimation. - Sankalp Tiwari, Anindya Chatterjee:
Basis functions for residual stresses. - Sanghyun Lee, Teeratorn Kadeethum, Hamidreza M. Nick:
Choice of Interior Penalty Coefficient for Interior Penalty Discontinuous Galerkin Method for Biot's System by Employing Machine Learning. - Monika Jaskolka, Vera Pantelic, Alan Wassyng, Mark Lawford:
Supporting Modularity in Simulink Models. - Dilip U. Shenoy, Vinay Sharma, Shiva H. C. Prasad:
Strategic Evaluation in Optimizing the Internal Supply Chain Using TOPSIS: Evidence In A Coil Winding Machine Manufacturer. - Teng Liu, Xiaolin Tang, Xiaosong Hu, Wenhao Tan, Jinwei Zhang:
Human-like Energy Management Based on Deep Reinforcement Learning and Historical Driving Experiences. - Mete Seref Ahunbay, Adrian Vetta:
The Price of Anarchy of Two-Buyer Sequential Multiunit Auctions. - Pulkit Nahata, Mustafa S. Turan, Giancarlo Ferrari-Trecate:
Consensus-Based Current Sharing and Voltage Balancing in DC Microgrids with Exponential Loads. - Sara Mohammadinejad, Brandon Paulsen, Chao Wang, Jyotirmoy V. Deshmukh:
DiffRNN: Differential Verification of Recurrent Neural Networks. - Sayan Bandyapadhyay, Fedor V. Fomin, Kirill Simonov:
On Coresets for Fair Clustering in Metric and Euclidean Spaces and Their Applications. - David Flores-Peñaloza, Mikio Kano, Leonardo Martínez-Sandoval, David Orden, Javier Tejel, Csaba D. Tóth, Jorge Urrutia, Birgit Vogtenhuber:
Rainbow polygons for colored point sets in the plane. - Bai Xue, Miaomiao Zhang, Arvind Easwaran, Qin Li:
PAC Model Checking of Black-Box Continuous-Time Dynamical Systems. - Evan Vogelbaum, Rumen Dangovski, Li Jing, Marin Soljacic:
Contextualizing Enhances Gradient Based Meta Learning. - Guy Aridor, Yishay Mansour, Aleksandrs Slivkins, Zhiwei Steven Wu:
Competing Bandits: The Perils of Exploration Under Competition. - Laigang Guo, Chun-Ming Yuan, Xiao-Shan Gao:
Lower Bound on Derivatives of Costa's Differential Entropy. - Malin Källén, Ulf Sigvardsson, Tobias Wrigstad:
Jupyter Notebooks on GitHub: Characteristics and Code Clones. - Fangyi Zhang:
Tracking the Untrackable. - Mohammed Alasmar, Richard G. Clegg, Nickolay Zakhleniuk, George Parisis:
Internet Traffic Volumes Are Not Gaussian - They Are Log-Normal: An 18-Year Longitudinal Study With Implications for Modelling and Prediction. - Sabah Al-Fedaghi:
Conceptual Modeling of Time for Computational Ontologies. - Sagar Joglekar, Sumithra Velupillai, Rina Dutta, Nishanth Sastry:
Analysing Meso and Macro conversation structures in an online suicide support forum. - Davide Andreoletti, Omran Ayoub, Silvia Giordano, Massimo Tornatore, Giacomo Verticale:
Privacy-Preserving Multi-Operator Contact Tracing for Early Detection of Covid19 Contagions. - Roman Klokov, Edmond Boyer, Jakob Verbeek:
Discrete Point Flow Networks for Efficient Point Cloud Generation. - Dan Zeng, Hailin Shi, Hang Du, Jun Wang, Zhen Lei, Tao Mei:
NPCFace: A Negative-Positive Cooperation Supervision for Training Large-scale Face Recognition. - Hsuan-Yin Lin, Siddhartha Kumar, Eirik Rosnes, Alexandre Graell i Amat, Eitan Yaakobi:
Multi-Server Weakly-Private Information Retrieval. - Jordan J. Bird, Diego R. Faria, Cristiano Premebida, Anikó Ekárt, George Vogiatzis:
Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines. - Martin Redmann, Melina A. Freitag:
Optimization based model order reduction for stochastic systems. - Edouard Pineau, Sébastien Razakarivony, Thomas Bonald:
Time Series Source Separation with Slow Flows. - Matthew B. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi:
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data. - Xiaozhi Zhu, Yong-Tao Zhang:
Fast sparse grid simulations of fifth order WENO scheme for high dimensional hyperbolic PDEs. - Zhenning Cai, Xiaoyu Dong, Yang Kuang:
On the validity of complex Langevin method for path integral computations. - Ahmed Arafa, Karim Banawan, Karim G. Seddik, H. Vincent Poor:
Sample, Quantize and Encode: Timely Estimation Over Noisy Channels. - Wei Mao, Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen:
Can we cover navigational perception needs of the visually impaired by panoptic segmentation? - Tatsumi Oba, Tadahiro Taniguchi:
Graph Convolutional Network-based Suspicious Communication Pair Estimation for Industrial Control Systems. - Ido Ben-Shaul, Leah Bar, Nir A. Sochen:
Solving the functional Eigen-Problem using Neural Networks. - João Caldeira, Fernando Brito e Abreu, Jorge Cardoso, Toacy Cavalcante de Oliveira:
Software Development Analytics in Practice: A Systematic Literature Review. - Tobias Reinhard, Amin Timany, Bart Jacobs:
A Separation Logic to Verify Termination of Busy-Waiting for Abrupt Program Exit: Technical Report. - Seyed Shahabaldin Tohidi, Yildiray Yildiz:
A Control Theoretical Adaptive Human Pilot Model: Theory and Experimental Validation. - Reinaldo Agostinho de Souza Filho, Diego V. Cirilo do Nascimento, Samuel Xavier de Souza:
An OpenMP translator for the GAP8 MPSoC. - Wei Wang, Tixiao Shan, Pietro Leoni, David Fernández-Gutiérrez, Drew Meyers, Carlo Ratti, Daniela Rus:
Roboat II: A Novel Autonomous Surface Vessel for Urban Environments. - Fei Ye, Adrian G. Bors:
Learning latent representations across multiple data domains using Lifelong VAEGAN. - Pavithra Perumal Kumaresen, Mirgita Frasheri, Eduard Enoiu:
Agent-Based Software Testing: A Definition and Systematic Mapping Study. - Travis DeWolf, Pawel Jaworski, Chris Eliasmith:
Nengo and low-power AI hardware for robust, embedded neurorobotics. - Denis Denisov, Neil Walton:
Regret Analysis of a Markov Policy Gradient Algorithm for Multi-arm Bandits. - Sambaran Bandyopadhyay, Saley Vishal Vivek, M. Narasimha Murty:
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description. - Zahra Sadeghi:
The Effect of Top-Down Attention in Occluded Object Recognition. - Roshni Sahoo, Divya Shanmugam, John V. Guttag:
Unsupervised Domain Adaptation in the Absence of Source Data. - Diane Hosfelt, Nicole Shadowen:
Privacy Implications of Eye Tracking in Mixed Reality. - Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo:
Learning from Data to Speed-up Sorted Table Search Procedures: Methodology and Practical Guidelines. - Zehua Ma, Weiming Zhang, Han Fang, Xiaoyi Dong, Linfeng Geng, Nenghai Yu:
Local Geometric Distortions Resilient Watermarking Scheme Based on Symmetry. - Matteo Fabbri, Fabio Lanzi, Riccardo Gasparini, Simone Calderara, Lorenzo Baraldi, Rita Cucchiara:
Inter-Homines: Distance-Based Risk Estimation for Human Safety. - Nicole Shadowen, Diane Hosfelt:
Addressing the Privacy Implications of Mixed Reality: A Regulatory Approach. - Yanhong Zeng, Jianlong Fu, Hongyang Chao:
Learning Joint Spatial-Temporal Transformations for Video Inpainting. - Carlos Rodrigo Castillo-Sanchez, Leibny Paola García-Perera, Anabel Martín-González:
DNN Speaker Tracking with Embeddings. - Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou:
XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup. - Richard Peng, Santosh S. Vempala:
Solving Sparse Linear Systems Faster than Matrix Multiplication. - Cedric Schockaert, Vadim Macher, Alexander Schmitz:
VAE-LIME: Deep Generative Model Based Approach for Local Data-Driven Model Interpretability Applied to the Ironmaking Industry. - Ashwin Vaswani, Rijul Ganguly, Het Shah, Sharan Ranjit S, Shrey Pandit, Samruddhi Bothara:
An Autoencoder Based Approach to Simulate Sports Games. - Vassilis N. Ioannidis, Da Zheng, George Karypis:
Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing. - Vivek Myers, Peyton Greenside:
A Hierarchical Approach to Scaling Batch Active Search Over Structured Data. - Christian Deppe, Vladimir S. Lebedev, Georg Maringer:
How to apply the rubber method for channels with feedback. - Daniele D'Angeli, Dominik Francoeur, Emanuele Rodaro, Jan Philipp Wächter:
On the Orbits of Automaton Semigroups and Groups. - Ramya Tekumalla, Juan M. Banda:
Characterization of Potential Drug Treatments for COVID-19 using Social Media Data and Machine Learning. - Pranay Pasula:
Complex Skill Acquisition through Simple Skill Adversarial Imitation Learning. - Thomas Truong, Svetlana N. Yanushkevich:
Relatable Clothing: Detecting Visual Relationships between People and Clothing. - Yunlong Song, Davide Scaramuzza:
Learning High-Level Policies for Model Predictive Control. - Jingqi Wang, Huy Anh Pham, Frank J. Manion, Masoud Rouhizadeh, Yaoyun Zhang:
COVID-19 SignSym: A fast adaptation of general clinical NLP tools to identify and normalize COVID-19 signs and symptoms to OMOP common data model. - Chongyan Chen, Islam Akef Ebeid, Yi Bu, Ying Ding:
Coronavirus Knowledge Graph: A Case Study. - Marius Buliga:
Graph rewrites, from graphic lambda calculus, to chemlambda, to directed interaction combinators. - Benjamin S. Allen, Matthew A. Ezell, Paul Peltz, Doug Jacobsen, Eric Roman, Cory Lueninghoener, J. Lowell Wofford:
Modernizing the HPC System Software Stack. - Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim:
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling. - Fatemeh Sarvi, Nikos Voskarides, Lois Mooiman, Sebastian Schelter, Maarten de Rijke:
A Comparison of Supervised Learning to Match Methods for Product Search. - Neil Walton:
A Short Note on Soft-max and Policy Gradients in Bandits Problems. - Darshan Gera, S. Balasubramanian:
Landmark Guidance Independent Spatio-channel Attention and Complementary Context Information based Facial Expression Recognition. - Han Han, Vincent Lostanlen:
wav2shape: Hearing the Shape of a Drum Machine. - Shubham Tulsiani, Or Litany, Charles R. Qi, He Wang, Leonidas J. Guibas:
Object-Centric Multi-View Aggregation. - Micah Botkin-Levy, Alexander Engelmann, Tillmann Mühlpfordt, Timm Faulwasser, Mads R. Almassalkhi:
Distributed Control of Charging for Electric Vehicle Fleets under Dynamic Transformer Ratings. - Arvind V. Mahankali, David P. Woodruff:
Optimal 𝓁1 Column Subset Selection and a Fast PTAS for Low Rank Approximation. - Changhan Wang, Anne Wu, Juan Miguel Pino:
CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus. - Martin Uhrin, Sebastiaan P. Huber, Jusong Yu, Nicola Marzari, Giovanni Pizzi:
Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows. - Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz:
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification. - Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han:
MCUNet: Tiny Deep Learning on IoT Devices. - Xitong Yang, Xiaodong Yang, Sifei Liu, Deqing Sun, Larry Davis, Jan Kautz:
Hierarchical Contrastive Motion Learning for Video Action Recognition. - Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Thomas A. Funkhouser, Justin Solomon:
Pillar-based Object Detection for Autonomous Driving. - Hyun Chul Yoon, Sanghyun Lee, S. M. Mallikarjunaiah:
Quasi-Static Anti-Plane Shear Crack Propagation in a New Class of Nonlinear Strain-Limiting Elastic Solids using Phase-Field Regularization. - Behnam Khaleghi, Sahand Salamat, Anthony Thomas, Fatemeh Asgarinejad, Yeseong Kim, Tajana Rosing:
SHEARer: Highly-Efficient Hyperdimensional Computing by Software-Hardware Enabled Multifold Approximation. - Ioannis Avramopoulos:
Evolution toward a Nash equilibrium. - Karan Yang, Chengxi Zang, Fei Wang:
Visualizing Deep Graph Generative Models for Drug Discovery. - Mikiya Shibuya, Shinya Sumikura, Ken Sakurada:
Privacy Preserving Visual SLAM. - Yinghao Xu, Yujun Shen, Jiapeng Zhu, Ceyuan Yang, Bolei Zhou:
Generative Hierarchical Features from Synthesizing Images. - Xing Shi, Chao Wang:
Support Aggregate Analytic Window Function over Large Data by Spilling. - Tsuyoshi Okita, Hirotaka Hachiya, Sozo Inoue, Naonori Ueda:
Translation Between Waves, wave2wave. - Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search. - Yoshimichi Nakatsuka, Ercan Ozturk, Andrew Paverd, Gene Tsudik:
CACTI: Captcha Avoidance via Client-side TEE Integration. - Özgür Can, Selma Tekir:
Automatic Story Construction from News Articles in an Online Fashion. - Rahul Gupta, Subhajit Roy, Kuldeep S. Meel:
Phase Transition Behavior in Knowledge Compilation. - Edouard Leurent, Denis V. Efimov, Odalric-Ambrym Maillard:
Robust-Adaptive Interval Predictive Control for Linear Uncertain Systems. - Isaac Johnson, Florian Lemmerich, Diego Sáez-Trumper, Robert West, Markus Strohmaier, Leila Zia:
Global gender differences in Wikipedia readership. - Justus Bogner, Stefan Wagner, Alfred Zimmermann:
Collecting Service-Based Maintainability Metrics from RESTful API Descriptions: Static Analysis and Threshold Derivation. - John McConnell, John D. Martin, Brendan J. Englot:
Fusing Concurrent Orthogonal Wide-aperture Sonar Images for Dense Underwater 3D Reconstruction. - Zhengyang Shen, Lingshen He, Zhouchen Lin, Jinwen Ma:
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions. - Deniz Oktay, Nick McGreivy, Joshua Aduol, Alex Beatson, Ryan P. Adams:
Randomized Automatic Differentiation. - Jake Snell, Richard S. Zemel:
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes. - Daniel Kraus, Jeremias Rößler, Martin Sulzmann:
Visual Testing of GUIs by Abstraction. - Kate Sanders, Michael Danielczuk, Jeffrey Mahler, Ajay Kumar Tanwani, Ken Goldberg:
Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking. - Qian Zhang, Zhimin Zhang:
Curl-curl conforming elements on tetrahedra. - Keenan Crane, Marco Livesu, Enrico Puppo, Yipeng Qin:
A Survey of Algorithms for Geodesic Paths and Distances. - Benjamin Wassermann, Nina Korshunova, Stefan Kollmannsberger, Ernst Rank, Gershon Elber:
Finite Cell Method for functionally graded materials based on V-models and homogenized microstructures. - Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Conformer-Kernel with Query Term Independence for Document Retrieval. - Aliakbar Kabiri, Aref Darzi, Weiyi Zhou, Qianqian Sun, Lei Zhang:
How different age groups responded to the COVID-19 pandemic in terms of mobility behaviors: a case study of the United States. - Clint Ferrin, Greg N. Droge, Randall Christensen:
Zero-Error Tracking for Autonomous Vehicles through Epsilon-Trajectory Generation. - Ryan Zarick, Bryan Pellegrino, Noam Brown, Caleb Banister:
Unlocking the Potential of Deep Counterfactual Value Networks. - Vassilis N. Ioannidis, Da Zheng, George Karypis:
PanRep: Universal node embeddings for heterogeneous graphs. - Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani:
Sinkhorn Barycenter via Functional Gradient Descent. - Mathew Hall, Vaughn Betz:
HPIPE: Heterogeneous Layer-Pipelined and Sparse-Aware CNN Inference for FPGAs. - Jan Dufek, Xuesu Xiao, Robin R. Murphy:
Best Viewpoints for External Robots or Sensors Assisting Other Robots. - Philipp Erler, Paul Guerrero, Stefan Ohrhallinger, Michael Wimmer, Niloy J. Mitra:
Points2Surf: Learning Implicit Surfaces from Point Cloud Patches. - Sai Vineel Reddy Chittamuru, Ishan G. Thakkar, Sudeep Pasricha, Sairam Sri Vatsavai, Varun Bhat:
Exploiting Process Variations to Secure Photonic NoC Architectures from Snooping Attacks. - Sailik Sengupta, Subbarao Kambhampati:
Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense. - Suchita Pati, Shaizeen Aga, Matthew D. Sinclair, Nuwan Jayasena:
SeqPoint: Identifying Representative Iterations of Sequence-based Neural Networks. - Ying Wang, Yadong Lu, Tijmen Blankevoort:
Differentiable Joint Pruning and Quantization for Hardware Efficiency. - Zhengyang Wang, Shuiwang Ji:
Second-Order Pooling for Graph Neural Networks. - Yaron Fairstein, Ariel Kulik, Hadas Shachnai:
tight approximations for modular and submodular optimization with d-resource multiple knapsack constraints. - Hubert Dzieciol, Gabriele Liga, Eric Sillekens, Polina Bayvel, Domaniç Lavery:
Geometric Shaping of 2-Dimensional Constellations in the Presence of Laser Phase Noise. - Deepti Gupta, Smriti Bhatt, Maanak Gupta, Ali Saman Tosun:
Future Smart Connected Communities to Fight COVID-19 Outbreak. - Yuzhen Ding, Nupur Thakur, Baoxin Li:
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers. - Jaekwon Lee, Seung Yeob Shin, Shiva Nejati, Lionel C. Briand, Yago Isasi Parache:
Schedulability Analysis of Real-Time Systems with Uncertain Worst-Case Execution Times. - Jieyang Chen, Qiang Guan, Li-Ta Lo, Patricia Grubel, Tim Randles:
BeeSwarm: Enabling Scalability Tests in Continuous Integration. - András Horváth:
Sorted Pooling in Convolutional Networks for One-shot Learning. - Shayan Hassantabar, Novati Stefano, Vishweshwar Ghanakota, Alessandra Ferrari, Gregory N. Nicola, Raffaele Bruno, Ignazio R. Marino, Niraj K. Jha:
CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors and Efficient Neural Networks. - Fatemeh Rouzbeh, Ananth Grama, Paul M. Griffin, Mohammad Adibuzzaman:
Collaborative Cloud Computing Framework for Health Data with Open Source Technologies. - Min Soo Kim, Alberto A. Del Barrio, Hyunjin Kim, Nader Bagherzadeh:
Effects of Approximate Multiplication on Convolutional Neural Networks. - Gari D. Clifford:
The Future AI in Healthcare: A Tsunami of False Alarms or a Product of Experts? - Hamza Ed-Douibi, Javier Luis Cánovas Izquierdo, Gwendal Daniel, Jordi Cabot:
A Model-based Chatbot Generation Approach to Converse with Open Data Sources. - Jonathan Chung, Anna Luo, Xavier Raffin, Scott Perry:
Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop. - Sarath Shekkizhar, Antonio Ortega:
DeepNNK: Explaining deep models and their generalization using polytope interpolation. - Ayush Jain, M. Tanjidur Rahman, Ujjwal Guin:
ATPG-Guided Fault Injection Attacks on Logic Locking. - Weijie Liu, Wenhao Wang, XiaoFeng Wang, Xiaozhu Meng, Yaosong Lu, Hongbo Chen, Xinyu Wang, Qingtao Shen, Kai Chen, Haixu Tang, Yi Chen, Luyi Xing:
Confidential Attestation: Efficient in-Enclave Verification of Privacy Policy Compliance. - Elizabeth Polgreen, Sanjit A. Seshia:
SynRG: Syntax Guided Synthesis of Invariants with Alternating Quantifiers. - Saeed Khaki, Hieu Pham, Ye Han, Andy Kuhl, Wade Kent, Lizhi Wang:
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation. - Sachin Ravi, Sebastian Musslick, Maia Hamin, Theodore L. Willke, Jonathan D. Cohen:
Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks. - Chuka Oham, Regio A. Michelin, Salil S. Kanhere, Raja Jurdak, Sanjay K. Jha:
B-FERL: Blockchain based Framework for Securing Smart Vehicles. - Jinyue Song, Tianbo Gu, Xiaotao Feng, Yunjie Ge, Prasant Mohapatra:
Blockchain Meets COVID-19: A Framework for Contact Information Sharing and Risk Notification System. - Brian Barr, Ke Xu, Cláudio T. Silva, Enrico Bertini, Robert Reilly, C. Bayan Bruss, Jason D. Wittenbach:
Towards Ground Truth Explainability on Tabular Data. - Gullal S. Cheema, Sherzod Hakimov, Ralph Ewerth:
Check_square at CheckThat! Claim Detection in Social Media via Fusion of Transformer and Syntactic Features. - Guyslain Naves, F. Bruce Shepherd, Henry Xia:
Maximum Weight Disjoint Paths in Outerplanar Graphs via Single-Tree Cut Approximators. - Yulin Wang, Gao Huang, Shiji Song, Xuran Pan, Yitong Xia, Cheng Wu:
Regularizing Deep Networks with Semantic Data Augmentation. - Franck Cassez, Peter Gjøl Jensen, Kim Guldstrand Larsen:
Verification and Parameter Synthesis for Real-Time Programs using Refinement of Trace Abstraction. - Flavio L. Duarte, Rodrigo Caiado de Lamare:
Cluster-Head-Driven UAV Relaying with Recursive Maximum Minimum Distance using CRANs. - Alejandro Ranchal-Pedrosa, Vincent Gramoli:
Blockchain Is Dead, Long Live Blockchain! Accountable State Machine Replication for Longlasting Blockchain. - Wei Ouyang, Yuanxin Wu, Hongyue Chen:
INS/Odometer Land Navigation by Accurate Measurement Modeling and Multiple-Model Adaptive Estimation. - Anupam Gupta, Ravishankar Krishnaswamy, Amit Kumar, Sahil Singla:
Online Carpooling using Expander Decompositions. - Shagun Sodhani, Mayoore S. Jaiswal, Lauren Baker, Koustuv Sinha, Carl Shneider, Peter Henderson, Joel Lehman, Ryan Lowe:
Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop. - Dan Plyukhin, Gul Agha:
Scalable Termination Detection for Distributed Actor Systems. - Yapeng Tian, Dingzeyu Li, Chenliang Xu:
Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing. - Zhaoxiong Yang, Shuihai Hu, Kai Chen:
FPGA-Based Hardware Accelerator of Homomorphic Encryption for Efficient Federated Learning. - Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary. - Chi Zhang, Ryan Marcus, Anat Kleiman, Olga Papaemmanouil:
Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning. - Hashem Albhrani, Reetam Sen Biswas, Anamitra Pal:
Identification of Utility-Scale Renewable Energy Penetration Threshold in a Dynamic Setting. - Jiaqi Yang, Jiahao Chen, Zhiqiang Huang, Siwen Quan, Yanning Zhang, Zhiguo Cao:
3D Correspondence Grouping with Compatibility Features. - Daniel Richins, Dharmisha Doshi, Matthew Blackmore, Aswathy Thulaseedharan Nair, Neha Pathapati, Ankit Patel, Brainard Daguman, Daniel Dobrijalowski, Ramesh Illikkal, Kevin Long, David Zimmerman, Vijay Janapa Reddi:
AI Tax: The Hidden Cost of AI Data Center Applications. - Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa:
Domain Generalization with Optimal Transport and Metric Learning. - Wei Wang, Zijian Wang, Luis A. Mateos, Kuan Wei Huang, Mac Schwager, Carlo Ratti, Daniela Rus:
Distributed Motion Control for Multiple Connected Surface Vessels. - Jungyeon Baek, Georges Kaddoum:
Heterogeneous Task Offloading and Resource Allocations via Deep Recurrent Reinforcement Learning in Partial Observable Multi-Fog Networks. - Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
Learning to Compose Hypercolumns for Visual Correspondence. - Jinpyo Kim, Wookeun Jung, Hyungmo Kim, Jaejin Lee:
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers. - Jiahong Wu, Jianfei Lu, Xinxin Kang, Yiming Zhang, Yinhang Tang, Jianfei Song, Ze Huang, Shenglan Ben, Jiashui Huang, Faen Zhang:
AinnoSeg: Panoramic Segmentation with High Perfomance. - Venkatesan Guruswami, Johan Håstad:
Explicit two-deletion codes with redundancy matching the existential bound. - Nannan Li, Zhenzhong Chen:
Towards Visual Distortion in Black-Box Attacks. - Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory G. Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian:
Video Super-resolution with Temporal Group Attention. - Yang Liu, Jiaheng Wei:
Incentives for Federated Learning: a Hypothesis Elicitation Approach. - Zana Limani Fazliu, Carla-Fabiana Chiasserini, Francesco Malandrino, Alessandro Nordio:
Graph-based Model for Beam Management in Mmwave Vehicular Networks. - Jian Wang, Xiang Long, Yuan Gao, Errui Ding, Shilei Wen:
Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement. - Makis Arsenis, Odysseas Drosis, Robert Kleinberg:
Revenue Monotonicity Under Misspecified Bidders. - Chang Shu, Kun Yu, Zhixiang Duan, Kuiyuan Yang:
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion. - Mohd Zeeshan Ansari, Areesha Fatima Siddiqui, Mohammad Anas:
Inferring Political Preferences from Twitter. - Tanmoy Kanti Das, S. Gangopadhyay, Jianying Zhou:
SSIDS: Semi-Supervised Intrusion Detection System by Extending the Logical Analysis of Data. - Gromit Yeuk-Yin Chan, Jun Yuan, Kyle Overton, Brian Barr, Kim Rees, Luis Gustavo Nonato, Enrico Bertini, Cláudio T. Silva:
SUBPLEX: Towards a Better Understanding of Black Box Model Explanations at the Subpopulation Level. - (Withdrawn) Word Representation for Rhythms.
- Max Mathijssen, Michiel Overeem, Slinger Jansen:
Source Data for the Focus Area Maturity Model for API Management. - Gromit Yeuk-Yin Chan, Enrico Bertini, Luis Gustavo Nonato, Brian Barr, Cláudio T. Silva:
Melody: Generating and Visualizing Machine Learning Model Summary to Understand Data and Classifiers Together. - Mingyu Yin, Li Sun, Qingli Li:
Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder. - Nikhil Bansal, Haotian Jiang, Raghu Meka, Sahil Singla, Makrand Sinha:
Online Discrepancy Minimization for Stochastic Arrivals. - Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro:
Learning Structured Latent Factors from Dependent Data: A Generative Model Framework from Information-Theoretic Perspective. - Xueping Wang, Sujoy Paul, Dripta S. Raychaudhuri, Min Liu, Yaonan Wang, Amit K. Roy-Chowdhury:
Learning Person Re-identification Models from Videos with Weak Supervision. - Xuewei Zhang, Tiejun Lv, Yuan Ren, Wei Ni, Norman C. Beaulieu:
Analysis and Optimization of Service Delay for Multi-quality Videos in Multi-tier Heterogeneous Network with Random Caching. - Taewon Park, Inchul Choi, Minho Lee:
Distributed Memory based Self-Supervised Differentiable Neural Computer. - Yuxin Huang, Liwei Lin, Shuo Ma, Xiangdong Wang, Hong Liu, Yueliang Qian, Min Liu, Kazushige Ouchi:
Guided multi-branch learning systems for DCASE 2020 Task 4. - Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid:
Multi-modal Transformer for Video Retrieval. - (Withdrawn) Fair and autonomous sharing of federate learning models in mobile Internet of Things.
- Yulin Shao, Soung Chang Liew, He Chen:
Flow Sampling: Accurate and Load-balanced Sampling Policies. - Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, Liang Lin:
Fine-Grained Image Captioning with Global-Local Discriminative Objective. - Pilar de la Cruz, Justus H. Piater, Matteo Saveriano:
Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features. - Catarina Moreira, Yu-Liang Chou, Mythreyi Velmurugan, Chun Ouyang, Renuka Sindhgatta, Peter Bruza:
An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models. - Jingyi Huang, Andre Rosendo:
Deep vs. Deep Bayesian: Reinforcement Learning on a Multi-Robot Competitive Experiment. - Kaitao Song, Xu Tan, Jianfeng Lu:
Neural Machine Translation with Error Correction. - Aku Kammonen, Jonas Kiessling, Petr Plechác, Mattias Sandberg, Anders Szepessy:
Adaptive random Fourier features with Metropolis sampling. - Robert Schwarzenberg, Steffen Castle:
Pattern-Guided Integrated Gradients. - Caterina Urban:
What Programs Want: Automatic Inference of Input Data Specifications. - Kang Liao, Chunyu Lin, Yao Zhao:
A Deep Ordinal Distortion Estimation Approach for Distortion Rectification. - Yudhik Agrawal, Samyak Jain, Emily Carlson, Petri Toiviainen, Vinoo Alluri:
Towards Multimodal MIR: Predicting individual differences from music-induced movement. - Banglei Guan, Ji Zhao, Daniel Barath, Friedrich Fraundorfer:
Relative Pose Estimation for Multi-Camera Systems from Affine Correspondences. - Man M. Ho, Jinjia Zhou:
Deep Preset: Blending and Retouching Photos with Color Style Transfer. - Xueyan Wang, Jianlei Yang, Yinglin Zhao, Yingjie Qi, Meichen Liu, Xingzhou Cheng, Xiaotao Jia, Xiaoming Chen, Gang Qu, Weisheng Zhao:
TCIM: Triangle Counting Acceleration With Processing-In-MRAM Architecture. - Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid:
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos. - Daniel Schmand, Marc Schröder, Laura Vargas Koch:
A Greedy Algorithm for the Social Golfer and the Oberwolfach Problem. - Md. Rabiul Awal, Rui Cao, Sandra Mitrovic, Roy Ka-Wei Lee:
On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic. - Tianwen Zhang, Xiaoling Zhang, Jun Shi, Shunjun Wei, Jianguo Wang, Jianwei Li, Hao Su, Yue Zhou:
Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images. - Muhammad Firoz Mridha, Md. Saifur Rahman, Abu Quwsar Ohi:
Human Abnormality Detection Based on Bengali Text. - Chengzhang Zhu, Longbing Cao, Jianping Yin:
Unsupervised Heterogeneous Coupling Learning for Categorical Representation. - Simon Jenni, Givi Meishvili, Paolo Favaro:
Video Representation Learning by Recognizing Temporal Transformations. - Shuailin Li, Chuyu Zhang, Xuming He:
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images. - Fangqi Li:
The Electromagnetic Balance Game: A Probabilistic Perspective. - Florian Henkel, Rainer Kelz, Gerhard Widmer:
Learning to Read and Follow Music in Complete Score Sheet Images. - Tal Hakim:
A Comprehensive Review of Skeleton-based Movement Assessment Methods. - Jiawei Ren, Cunjun Yu, Shunan Sheng, Xiao Ma, Haiyu Zhao, Shuai Yi, Hongsheng Li:
Balanced Meta-Softmax for Long-Tailed Visual Recognition. - Thomas Eppenberger, Gianluca Cesari, Marcin Dymczyk, Roland Siegwart, Renaud Dubé:
Leveraging Stereo-Camera Data for Real-Time Dynamic Obstacle Detection and Tracking. - Christoph Treude, Justin Middleton, Thushari Atapattu:
Beyond Accuracy: Assessing Software Documentation Quality. - Pascal Heid, Dirk Praetorius, Thomas P. Wihler:
A note on energy contraction and optimal convergence of adaptive iterative linearized finite element methods. - Kaan Furkan Altinok, Afsin Peker, Alptekin Temizel:
Bit-level Parallelization of 3DES Encryption on GPU. - José A. Carrillo, Serafim Kalliadasis, Fuyue Liang, Sergio P. Perez:
Enhancement of damaged-image prediction through Cahn-Hilliard Image Inpainting. - Yao Wang, Zhengtai Chang:
Authentication against Man-in-the-Middle Attack with a Time-variant Reconfigurable Dual-LFSR-based Arbiter PUF. - Pankaj Pandey, Raunak Swarnkar, Shobhit Kakaria, Krishna Prasad Miyapuram:
Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning. - Christian Reinbold, Rüdiger Westermann:
Inverting the Feature Visualization Process for Feedforward Neural Networks. - Yansong Gao, Bao Gia Doan, Zhi Zhang, Siqi Ma, Jiliang Zhang, Anmin Fu, Surya Nepal, Hyoungshick Kim:
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review. - Ming-Min Zhao, An Liu, Rui Zhang:
Outage-Constrained Robust Beamforming for Intelligent Reflecting Surface Aided Wireless Communication. - Rabéa Ameur-Boulifa, Ludovic Henrio, Eric Madelaine:
Compositional equivalences based on Open pNets. - Irena Rusu:
Stick graphs: examples and counter-examples. - Ihor Kholoshyn, Olga V. Bondarenko, Olena Hanchuk, Iryna Varfolomyeyeva:
Cloud technologies as a tool of creating Earth Remote Sensing educational resources. - Xian Zhong, Cheng Gu, Wenxin Huang, Lin Li, Shuqin Chen, Chia-Wen Lin:
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach. - Alaettin Zubaroglu, Volkan Atalay:
Data Stream Clustering: A Review. - Allan dos Santos Costa, Rumen Dangovski, Samuel Kim, Pawan Goyal, Marin Soljacic, Joseph Jacobson:
Interpretable Neuroevolutionary Models for Learning Non-Differentiable Functions and Programs. - Afshin Shoeibi, Marjane Khodatars, Roohallah Alizadehsani, Navid Ghassemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Delaram Sadeghi, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Javad Bazeli, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Peng Shi:
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. - Teng Liu, Bin Tian, Yunfeng Ai, Long Chen, Fei Liu, Dongpu Cao:
Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles. - Yanning Zhou, Hao Chen, Huangjing Lin, Pheng-Ann Heng:
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation. - Hui-Ming Wang, Jiale Bai, Limeng Dong:
Intelligent Reflecting Surfaces Assisted Secure Transmission Without Eavesdropper's CSI. - Or Zamir:
Breaking the 2n barrier for 5-coloring and 6-coloring. - Chaohui Yu, Jindong Wang, Chang Liu, Tao Qin, Renjun Xu, Wenjie Feng, Yiqiang Chen, Tie-Yan Liu:
Learning to Match Distributions for Domain Adaptation. - Felipe Gohring de Magalhaes, Alexy Torres Aurora Dugo, Jean-Baptiste Lefoul, Gabriela Nicolescu:
On the benchmarking of partitioned real-time systems. - Anshu Ankolekar, Ben G. L. Vanneste, Esther Bloemen-van Gurp, Joep G. van Roermund, Adriana Berlanga, Cheryl Roumen, Evert J. van Limbergen, Ludy Lutgens, Tom Marcelissen, Philippe Lambin, Andre Dekker, Rianne Fijten:
Nine Recommendations for Decision Aid Implementation from the Clinician Perspective. - Congbo Ma, Xiaowei Yang, Hu Wang:
Randomized Online CP Decomposition. - Teng Liu, Xing Yang, Hong Wang, Xiaolin Tang, Long Chen, Huilong Yu, Fei-Yue Wang:
Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications. - Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han:
Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning. - Suneel Sarswat, Abhishek Kr Singh:
Formally Verified Trades in Financial Markets. - Marino Miculan, Marco Peressotti:
Software Transactional Memory with Interactions. - Elishan Christian Braun, Gabriella Bretti, Roberto Natalini:
Mass-preserving approximation of a chemotaxis multi-domain transmission model for microfluidic chips. - Chetan Mishra:
Critical Clearing Time Sensitivity for Differential-Algebraic Power System Model. - Udaya Pratap Singh:
Application of orthonormal Bernoulli polynomials for approximate solution of some Volterra integral equations. - Lin Geng Foo, Alexander Binder:
Lymphocyte counting - Error Analysis of Regression versus Bounding Box Detection Approaches. - Abbas Raza Ali, Marcin Budka, Bogdan Gabrys:
A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems. - Ayush Kumar, Harsh Agarwal, Keshav Bansal, Ashutosh Modi:
BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text. - Vipul Singhal, Sahil Dhull, Rishabh Agarwal, Ashutosh Modi:
IITK at SemEval-2020 Task 10: Transformers for Emphasis Selection. - Howard H. Yang, Tony Q. S. Quek, H. Vincent Poor:
A Unified Framework for SINR Analysis in Poisson Networks with Traffic Dynamics. - Vishal Keswani, Sakshi Singh, Suryansh Agarwal, Ashutosh Modi:
IITK at SemEval-2020 Task 8: Unimodal and Bimodal Sentiment Analysis of Internet Memes. - David G. Harris, Vladimir Kolmogorov:
Parameter estimation for Gibbs distributions. - (Withdrawn) Ratio of Products of Mixture Gamma Variates with Applications to Wireless Communications.
- Paramansh Singh, Siraj Sandhu, Subham Kumar, Ashutosh Modi:
newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations For Propaganda Classification. - Assyr Abdulle, Doghonay Arjmand, Edoardo Paganoni:
Analytical and numerical study of a modified cell problem for the numerical homogenization of multiscale random fields. - Soumya Ranjan Dash, Sandeep Routray, Prateek Varshney, Ashutosh Modi:
CS-NET at SemEval-2020 Task 4: Siamese BERT for ComVE. - Hu Wang, Qi Wu, Chunhua Shen:
Soft Expert Reward Learning for Vision-and-Language Navigation. - Hamid Jahanian, Annabelle McIver:
Reasoning with failures. - Cezar-Constantin Andrici, Stefan Ciobaca:
Who Verifies the Verifiers? A Computer-Checked Implementation of the DPLL Algorithm in Dafny. - Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Yuan-Fang Li:
Code2Que: A Tool for Improving Question Titles from Mined Code Snippets in Stack Overflow. - Zeyu Liao, Ken Hayami, Keiichi Morikuni, Jun-Feng Yin:
A Stabilized GMRES Method for Solving Underdetermined Least Squares Problems. - Jianing Li, Shiliang Zhang:
Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification. - Qian Zhang, Zhimin Zhang:
Three families of grad-div-conforming finite elements. - Shant Boodaghians, Joshua Brakensiek, Samuel B. Hopkins, Aviad Rubinstein:
Smoothed Complexity of 2-player Nash Equilibria. - Congbo Ma, Hu Wang, Steven C. H. Hoi:
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks. - Daniele Ahmed, Andrea Peruffo, Alessandro Abate:
Automated and Sound Synthesis of Lyapunov Functions with SMT Solvers. - Anirudh Anil Ojha, Rohin Garg, Shashank Gupta, Ashutosh Modi:
IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals. - Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua:
GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss. - Christoph Müller, Gagandeep Singh, Markus Püschel, Martin T. Vechev:
Neural Network Robustness Verification on GPUs. - Maik Dittman, Jonathan Schult, Felix Schmidt, Christian Hesch:
A strain-gradient formulation for fiber reinforced polymers: Hybrid phase-field model for porous-ductile fracture. - Jianfeng Yan, Zizhuang Wei, Hongwei Yi, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai:
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking. - Yu Zhao, Anxiang Zhang, Ruobing Xie, Kang Liu, Xiaojie Wang:
Connecting Embeddings for Knowledge Graph Entity Typing. - Bakheet Aljedaani, Muhammad Ali Babar:
Challenges in Developing Secure Mobile Health Applications, A Systematic Review. - Karishma Laud, Jagriti Singh, Randeep Kumar Sahu, Ashutosh Modi:
problemConquero at SemEval-2020 Task 12: Transformer and Soft label-based approaches. - Rui Wang, Min Chen, Nadra Guizani, Yong Li, Hamid Gharavi, Kai Hwang:
DeepNetQoE: Self-adaptive QoE Optimization Framework of Deep Networks. - Patrick Ebel, Florian Brokhausen, Andreas Vogelsang:
The Role and Potentials of Field User Interaction Data in the Automotive UX Development Lifecycle: An Industry Perspective. - Razieh Kaviani Baghbaderani, Ying Qu, Hairong Qi, Craig Stutts:
Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery. - Jonathan Tirado, Vladislav Panov, Vibol Yem, Dzmitry Tsetserukou, Hiroyuki Kajimoto:
ElectroAR: Distributed Electro-tactile Stimulation for Tactile Transfer. - Arnold Filtser, Omrit Filtser:
Static and Streaming Data Structures for Fréchet Distance Queries. - Christian Wellmann, Matthias Stierle, Sebastian Dunzer, Martin Matzner:
A framework to evaluate the viability of robotic process automation for business process activities. - Sebastian Dunzer, Matthias Stierle, Martin Matzner, Stephan Baier:
Conformance checking: A state-of-the-art literature review. - Wojciech Czerwinski, Diego Figueira, Piotr Hofman:
Universality Problem for Unambiguous VASS. - Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty:
Robust Hierarchical Graph Classification with Subgraph Attention. - Pascal Notin, Aidan N. Gomez, Joanna Yoo, Yarin Gal:
SliceOut: Training Transformers and CNNs faster while using less memory. - Idan Amit, Dror G. Feitelson:
The Corrective Commit Probability Code Quality Metric. - Mikolaj Jankowski, Deniz Gündüz, Krystian Mikolajczyk:
Wireless Image Retrieval at the Edge. - Giacomo Nazzaro, Enrico Puppo, Fabio Pellacini:
DecoSurf: Recursive Geodesic Patterns on Triangle Meshes. - Guoliang Xu, Daowen Qiu:
Partial Boolean functions with exact quantum 1-query complexity. - Vincent Lostanlen, Christian El-Hajj, Mathias Rossignol, Grégoire Lafay, Joakim Andén, Mathieu Lagrange:
Time-Frequency Scattering Accurately Models Auditory Similarities Between Instrumental Playing Techniques. - David H. Wolpert:
What is important about the No Free Lunch theorems? - Sarthak Bhagat, P. B. Sujit:
UAV Target Tracking in Urban Environments Using Deep Reinforcement Learning. - Qingqiu Huang, Yu Xiong, Anyi Rao, Jiaze Wang, Dahua Lin:
MovieNet: A Holistic Dataset for Movie Understanding. - Francesca Noardo, Ken Arroyo Ohori, Filip Biljecki, Claire Ellul, Lars Harrie, Thomas Krijnen, Helen Eriksson, Jordi van Liempt, Maria Pla, Antonio Ruiz, Dean Hintz, Nina Krüger, Cristina Leoni, Leire Leoz, Diana Moraru, Stelios Vitalis, Philipp Willkomm, Jantien E. Stoter:
Reference study of CityGML software support: the GeoBIM benchmark 2019 - Part II. - Ke-Wen Huang, Hui-Ming Wang:
Passive Beamforming for IRS Aided Wireless Networks. - Xiangjue Dong, Jinho D. Choi:
XD at SemEval-2020 Task 12: Ensemble Approach to Offensive Language Identification in Social Media Using Transformer Encoders. - Chenxi Yuan, Mohsen Moghaddam:
Garment Design with Generative Adversarial Networks. - Francesca Noardo, Thomas Krijnen, Ken Arroyo Ohori, Filip Biljecki, Claire Ellul, Lars Harrie, Helen Eriksson, Lorenzo Polia, Nebras Salheb, Helga Tauscher, Jordi van Liempt, Hendrik Goerne, Dean Hintz, Tim Kaiser, Cristina Leoni, Artur Warchol, Jantien E. Stoter:
Reference study of IFC software support: the GeoBIM benchmark 2019 - Part I. - David Kozhaya, Jeremie Decouchant, Vincent Rahli, Paulo Jorge Esteves Veríssimo:
PISTIS: From a Word-of-Mouth to a Gentleman's Agreement. - Siavash Alemzadeh, Ramin Moslemi, Ratnesh Sharma, Mehran Mesbahi:
Adaptive Traffic Control with Deep Reinforcement Learning: Towards State-of-the-art and Beyond. - Sungheon Park, Minsik Lee, Nojun Kwak:
Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations. - Rogério Atem de Carvalho:
Modern Design Methodologies and the Development of Mechatronic Products. - Jinxiu Liang, Jingwen Wang, Yuhui Quan, Tianyi Chen, Jiaying Liu, Haibin Ling, Yong Xu:
Recurrent Exposure Generation for Low-Light Face Detection. - Brian Brooks, Keira Brooks, Lea Hagen, Nimish Hathi, Samantha Hoffman, James Paranilam, Laura Prichard:
Recommendations for Planning Inclusive Astronomy Conferences. - Kunal Gupta, Manmohan Chandraker:
Neural Mesh Flow: 3D Manifold Mesh Generationvia Diffeomorphic Flows. - Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi:
Interactive Inference under Information Constraints. - Shubham Goel, Angjoo Kanazawa, Jitendra Malik:
Shape and Viewpoint without Keypoints. - Yuliang Zou, Pan Ji, Quoc-Huy Tran, Jia-Bin Huang, Manmohan Chandraker:
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling. - Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba:
Foley Music: Learning to Generate Music from Videos. - Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany:
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. - He Chen, Pengfei Guo, Pengfei Li, Gim Hee Lee, Gregory S. Chirikjian:
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry. - Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay:
IBM Federated Learning: an Enterprise Framework White Paper V0.1. - Fatiha Idmhand:
For a "computational" study of the intellectuals satellites. - Heming Du, Xin Yu, Liang Zheng:
Learning Object Relation Graph and Tentative Policy for Visual Navigation. - Ankur Sinha, Tanmay Khandait, Raja Mohanty:
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning. - Yosvany Medina Carbó, Iracely Milagros Santana Ges, Saily Leo González:
Sistema experto para el diagnóstico de enfermedades y plagas en los cultivos del arroz, tabaco, tomate, pimiento, maíz, pepino y frijol. - Xinyu Li, Bing Shuai, Joseph Tighe:
Directional Temporal Modeling for Action Recognition. - Pranjal Awasthi, Natalie Frank, Mehryar Mohri:
On the Rademacher Complexity of Linear Hypothesis Sets. - Slimane Larabi, Neil M. Robertson:
An Image Analogies Approach for Multi-Scale Contour Detection. - Mona Minakshi, Pratool Bharti, Tanvir Bhuiyan, Sherzod Kariev, Sriram Chellappan:
A Framework based on Deep Neural Networks to Extract Anatomy of Mosquitoes from Images. - Honorio Apaza Alanoca, Américo Ariel Rubin de Celis Vidal, Josimar Edinson Chire Saire:
Curriculum Vitae Recommendation Based on Text Mining. - Han Qiu, Yuchen Ma, Zeming Li, Songtao Liu, Jian Sun:
BorderDet: Border Feature for Dense Object Detection. - Mingxuan Chen, Ning Wang, K. P. Subbalakshmi:
Explainable Rumor Detection using Inter and Intra-feature Attention Networks. - Dripta S. Raychaudhuri, Amit K. Roy-Chowdhury:
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification. - Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing:
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis. - Srikar Kasi, Kyle Jamieson:
Towards Quantum Belief Propagation for LDPC Decoding in Wireless Networks. - Pedro Figueirêdo, Yuri Kim, Le Minh Nghia, Evan Sitt, Xue Ying, Viktória Zsók:
How to Increase Interest in Studying Functional Programming via Interdisciplinary Application. 37-54 - Muhammad Khalifa, Aminul Islam:
Will Your Forthcoming Book be Successful? Predicting Book Success with CNN and Readability Scores. - Luyu Gao, Zhuyun Dai, Jamie Callan:
Understanding BERT Rankers Under Distillation. - Martina Lofqvist, José Cano:
Accelerating Deep Learning Applications in Space. - Seyed Kamyar Seyed Ghasemipour, Dale Schuurmans, Shixiang Shane Gu:
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL. - David Furcy, Scott M. Summers, Logan Withers:
Improved lower and upper bounds on the tile complexity of uniquely self-assembling a thin rectangle non-cooperatively in 3D. - Yakov Nekrich:
New Data Structures for Orthogonal Range Reporting and Range Minima Queries. - Mario Gleirscher, Nikita Johnson, Panayiotis Karachristou, Radu Calinescu, James Law, John A. Clark:
Challenges in the Safety-Security Co-Assurance of Collaborative Industrial Robots. - Sanghyun Lee, Hyun Chul Yoon, Mallikarjunaiah S. Muddamallappa:
Nonlinear Strain-limiting Elasticity for Fracture Propagation with Phase-Field Approach. - Benjamin Biggs, Oliver Boyne, James Charles, Andrew W. Fitzgibbon, Roberto Cipolla:
Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop. - Dimitris Floros, Nikos Pitsianis, Xiaobai Sun:
Fast Graphlet Transform of Sparse Graphs. - Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia:
DBOS: A Proposal for a Data-Centric Operating System. - Jinhyun So, Basak Guler, Amir Salman Avestimehr:
Byzantine-Resilient Secure Federated Learning. - Nicholas Woolsey, Rong-Rong Chen, Mingyue Ji:
A New Combinatorial Coded Design for Heterogeneous Distributed Computing. - Mattia Carletti, Matteo Terzi, Gian Antonio Susto:
Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest. - Ollie Matthews, Koki Ryu, Tarun Srivastava:
Creating a Large-scale Synthetic Dataset for Human Activity Recognition. - Ziv Epstein, Océane Boulais, Skylar Gordon, Matthew Groh:
Interpolating GANs to Scaffold Autotelic Creativity. - Jalaj Bhandari, Daniel Russo:
A Note on the Linear Convergence of Policy Gradient Methods. - Ankit Goyal, Jia Deng:
PackIt: A Virtual Environment for Geometric Planning. - Yubo Yang, Li-Lian Wang, Fanhai Zeng:
Analysis of a Backward Euler-type Scheme for Maxwell's Equations in a Havriliak-Negami Dispersive Medium. - Dylan Randle, Pavlos Protopapas, David Sondak:
Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks. - Seung Ah Choi:
Designing a Novel Method for Personalizing Recommendations to Decrease Plastic Pollution. - Gilles Puy, Alexandre Boulch, Renaud Marlet:
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport. - Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M. Parizi, Mohsen Dorodchi, Maria Valero, Hamid R. Arabnia:
Internet of Things for Current COVID-19 and Future Pandemics: An Exploratory Study. - Sk Miraj Ahmed, Aske R. Lejbølle, Rameswar Panda, Amit K. Roy-Chowdhury:
Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning. - He Cai, Jie Huang:
Output Based Adaptive Distributed Output Observer for Leader-follower Multiagent Systems. - Kamalesh Palanisamy, Dipika Singhania, Angela Yao:
Rethinking CNN Models for Audio Classification. - Yonghui Xu, Shengjie Sun, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Hengjie Song, Chuanyan Miao:
Time-aware Graph Embedding: A temporal smoothness and task-oriented approach. - Sahand Rezaei-Shoshtari, David Meger, Inna Sharf:
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference. - Chao-Lin Liu, Chang-Ting Chu, Wei-Ting Chang, Ti-Yong Zheng:
When Classical Chinese Meets Machine Learning: Explaining the Relative Performances of Word and Sentence Segmentation Tasks. - Le Cong Dinh, Nick Bishop, Long Tran-Thanh:
Exploiting No-Regret Algorithms in System Design. - Anahita Moradmand, Mehrdad Dorostian, Bahram Shafai:
Energy Scheduling for Residential Distributed Energy Resources with Uncertainties Using Model-based Predictive Control. - Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
Instance-aware Self-supervised Learning for Nuclei Segmentation. - Madhura Jayaratne, Buddhi Jayatilleke:
Predicting job-hopping likelihood using answers to open-ended interview questions. - Wei Wang, Xiaofu Xiong, Chao Xiao, Bihui Wei:
Novel Mobility Model to Support the Routing of Mobile Energy Resources. - Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy:
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks. - Yu Du, Jiwei Zhang:
Numerical solution of a one-dimensional nonlocal Helmholtz equation by Perfectly Matched Layers. - Ming Ling, Guangmin Wang, Jiancong Ge, Xiaoqian Lu:
Analytical Modeling the Multi-Core Shared Cache Behavior with Considerations of Data-Sharing and Coherence. - Rosziati Ibrahim, Ammar Aminuddin Bani Amin, Sapiee Jamel, Jahari Abdul Wahab:
EPiT : A Software Testing Tool for Generation of Test Cases Automatically. - Austin Silveria:
Exploratory Search with Sentence Embeddings. - Jiahao Li, Meilin Cui, Jeeeun Kim, Xiang 'Anthony' Chen:
Romeo: A Design Tool for Embedding Transformable Parts in 3D Models to Robotically Augment Default Functionalities. - Vishal Keswani, Sakshi Singh, Ashutosh Modi:
IITK at the FinSim Task: Hypernym Detection in Financial Domain via Context-Free and Contextualized Word Embeddings. - Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao:
Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide. - Cambridge Yang, Eric Atkinson, Michael Carbin:
Simplifying Multiple-Statement Reductions with the Polyhedral Model. - Long H. Pham, Jiaying Li, Jun Sun:
SOCRATES: Towards a Unified Platform for Neural Network Verification. - Conrad Sanderson, Ryan R. Curtin:
An Adaptive Solver for Systems of Linear Equations. - Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Mohamed Ali Kâafar, Francesca Trevisan, Haiyue Yuan:
Exploiting Behavioral Side-Channels in Observation Resilient Cognitive Authentication Schemes. - Mikolaj firlej, Araz Taeihagh:
Regulating human control over autonomous systems. - Orkhan Baghirli, Imran Ibrahimli, Tarlan Mammadzada:
Greenhouse Segmentation on High-Resolution Optical Satellite Imagery using Deep Learning Techniques. - Zexi Chen, Xuecheng Xu, Yue Wang, Yunkai Wang, Rong Xiong:
Collaborative Localization of Aerial and Ground Mobile Robots through Orthomosaic Map. - Marco Gaboardi, Shin-ya Katsumata, Dominic Orchard, Tetsuya Sato:
Graded Hoare Logic and its Categorical Semantics. - Gusi Te, Yinglu Liu, Wei Hu, Hailin Shi, Tao Mei:
Edge-aware Graph Representation Learning and Reasoning for Face Parsing. - Yunmei Chen, Hongcheng Liu, Xiaojing Ye, Qingchao Zhang:
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction. - Mehdi Teimouri, Zahra Seyedghorban, Fatemeh Amirjani:
Fragments-Expert: A Graphical User Interface MATLAB Toolbox for Classification of File Fragments. - Wei Xiang, Xinran Yao, He Wang, Xiaogang Jin:
FASTSWARM: A Data-driven FrAmework for Real-time Flying InSecT SWARM Simulation. - Markus Horn, Nico Engel, Vasileios Belagiannis, Michael Buchholz, Klaus Dietmayer:
DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration. - Tian Chen, Shijie An, Yuan Zhang, Chongyang Ma, Huayan Wang, Xiaoyan Guo, Wen Zheng:
Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets. - Ao Luo, Ning Xie, Zhijia Tao, Feng Jiang:
Deep-VFX: Deep Action Recognition Driven VFX for Short Video. - Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto:
Adversarial Training Reduces Information and Improves Transferability. - Rafael C. Cardoso, Angelo Ferrando, Daniela Briola, Claudio Menghi, Tobias Ahlbrecht:
Proceedings of the First Workshop on Agents and Robots for reliable Engineered Autonomy, AREA@ECAI 2020, Virtual event, 4th September 2020. EPTCS 319, 2020 [contents] - Iordanis Chatzinikolaidis, Yangwei You, Zhibin Li:
Contact-Implicit Trajectory Optimization using an Analytically Solvable Contact Model for Locomotion on Variable Ground. - Peter Benner, Serkan Gugercin, Steffen W. R. Werner:
Structure-Preserving Interpolation for Model Reduction of Parametric Bilinear Systems. - Wen-Jyi Hwang, Tsung-Ming Tai, Bo-Ting Pan, Tun-Yao Lou, Yun-Jie Jhang:
An Intelligent QoS Algorithm for Home Networks. - Yury Elkin, Vitaliy Kurlin:
The mergegram of a dendrogram and its stability. - Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Storage Fit Learning with Feature Evolvable Streams. - Chris Brunsdon, Alexis J. Comber:
Big Issues for Big Data. - Martin Forsberg Lie, Mary-Luz Sánchez-Gordón, Ricardo Colomo Palacios:
DevOps in an ISO 13485 Regulated Environment: A Multivocal Literature Review. - Arno Kesper, Viola Wenz, Gabriele Taentzer:
Detecting Quality Problems in Research Data: A Model-Driven Approach. - Alexandre Carlier, Martin Danelljan, Alexandre Alahi, Radu Timofte:
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation. - Alessandro Celestini, Marco Di Giovanni, Stefano Guarino, Francesco Pierri:
Information disorders on Italian Facebook during COVID-19 infodemic. - Miroslav Bures, Matej Klima, Vaclav Rechtberger, Xavier J. A. Bellekens, Christos Tachtatzis, Robert C. Atkinson, Bestoun S. Ahmed:
Interoperability and Integration Testing Methods for IoT Systems: a Systematic Mapping Study. - Christian P. H. Salas:
Solving Schrödinger's equation by B-spline collocation. - Nicole Peinelt, Dong Nguyen, Maria Liakata:
Better Early than Late: Fusing Topics with Word Embeddings for Neural Question Paraphrase Identification. - Kenneth Lai, Steven Samoil, Svetlana N. Yanushkevich:
Multi-Spectral Facial Biometrics in Access Control. - Mobarakol Islam, Daniel Anojan Atputharuban, Ravikiran Ramesh, Hongliang Ren:
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial Learning. - Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Risk Assessment in the Face-based Watchlist Screening in e-Border. - Kenneth Lai, Svetlana N. Yanushkevich:
Watchlist Risk Assessment using Multiparametric Cost and Relative Entropy. - Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa:
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning. - Ludwig Dierks, Sven Seuken:
Revenue Maximization for Consumer Software: Subscription or Perpetual License? - The Anh Han, Cedric Perret, Simon T. Powers:
When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games. - Keyang Zhou, Bharat Lal Bhatnagar, Gerard Pons-Moll:
Unsupervised Shape and Pose Disentanglement for 3D Meshes. - Patrick Hemmer, Niklas Kühl, Jakob Schöffer:
DEAL: Deep Evidential Active Learning for Image Classification. - Jakub Gajarský, Maximilian Gorsky, Stephan Kreutzer:
Differential games, locality and model checking for FO logic of graphs. - Mononito Goswami, Minkush Manuja, Maitree Leekha:
Towards Social & Engaging Peer Learning: Predicting Backchanneling and Disengagement in Children. - Francesco Concas, Jukka K. Nurminen, Tommi Mikkonen, Sasu Tarkoma:
Validation Frameworks for Self-Driving Vehicles: A Survey. - Ori Shapira, Ran Levy:
Massive Multi-Document Summarization of Product Reviews with Weak Supervision. - Feng Cheng, Cheng Chen, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu:
Learning Directional Feature Maps for Cardiac MRI Segmentation. - Michael Pühringer, Andreas P. Hinterreiter, Marc Streit:
InstanceFlow: Visualizing the Evolution of Classifier Confusion on the Instance Level. - Sin Kit Lo, Qinghua Lu, Chen Wang, Hye-Young Paik, Liming Zhu:
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective. - Junde Wu, Shuang Yu, Wenting Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, Yefeng Zheng:
Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning. - Linyan Mei, Pouya Houshmand, Vikram Jain, Juan Sebastian Piedrahita Giraldo, Marian Verhelst:
ZigZag: A Memory-Centric Rapid DNN Accelerator Design Space Exploration Framework. - Gregor Koporec, Janez Pers:
Human-Centered Unsupervised Segmentation Fusion. - In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. - Sudhakar Kumawat, Manisha Verma, Yuta Nakashima, Shanmuganathan Raman:
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition. - Afonso Ueslei Da Fonseca, Gabriel da Silva Vieira, Fabrízzio Alphonsus A. M. N. Soares, Renato de Freitas Bulcão-Neto:
Pediatric Chest Radiography Research Agenda: Is Deep Learning Still in Childhood? - Liang Ding, Weimin Han:
α𝓁1-β𝓁2 sparsity regularization for nonlinear ill-posed problems. - Xuandong Zhao, Jinbao Xue, Jin Yu, Xi Li, Hongxia Yang:
A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning. - Caroline Pasquer, Agata Savary, Jean-Yves Antoine, Carlos Ramisch, Nicolas Labroche, Arnaud Giacometti:
To Be or Not To Be a Verbal Multiword Expression: A Quest for Discriminating Features. - Kristóf Bérczi, Matthias Mnich, Roland Vincze:
A 3/2-Approximation for the Metric Many-visits Path TSP. - Faraz Ashtiani, Vijay Sarthy M. Sreedhara, Ardalan Vahidi, Randolph Hutchison, Gregory M. Mocko:
Optimal Pacing of a Cyclist in a Time Trial Based on Experimentally Calibrated Models of Fatigue and Recovery. - Haotian Zheng, Alexios Balatsoukas-Stimming, Zizheng Cao, Ton Koonen:
Implementation of a High-Throughput Fast-SSC Polar Decoder with Sequence Repetition Node. - Peter Chini, Prakash Saivasan:
A Framework for Consistency Algorithms. - Shuai Wang, Rui Wang, Qi Hao, Yik-Chung Wu, H. Vincent Poor:
Learning Centric Power Allocation for Edge Intelligence. - Peter Gartland, Daniel Lokshtanov:
Independent Set on C≥-Free Graphs in Quasi-Polynomial Time. - Hadi Sehat, Elena Pagnin, Daniel E. Lucani:
Yggdrasil: Privacy-aware Dual Deduplication in Multi Client Settings. - Andrés Ussa, Chockalingam Senthil Rajen, Deepak Singla, Jyotibdha Acharya, Gideon Fu Chuanrong, Arindam Basu, Bharath Ramesh:
A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems. - Djallel Bouneffouf:
Spectral Clustering using Eigenspectrum Shape Based Nystrom Sampling. - Karl Norrman, Vaishnavi Sundararajan, Alessandro Bruni:
Formal Analysis of EDHOC Key Establishment for Constrained IoT Devices. - Xin Li, Xin Jin, Jianxin Lin, Tao Yu, Sen Liu, Yaojun Wu, Wei Zhou, Zhibo Chen:
Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration. - Taihong Xiao, Jinwei Yuan, Deqing Sun, Qifei Wang, Xin-Yu Zhang, Kehan Xu, Ming-Hsuan Yang:
Learnable Cost Volume Using the Cayley Representation. - Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll:
Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction. - Minzhen Chen, Peng Liu:
Deep Learning-Based FPGA Function Block Detection Method using an Image-Coded Representation of Bitstream. - Suad Krilasevic, Sergio Grammatico:
Learning generalized Nash equilibria in multi-agent dynamical systems via extremum seeking control. - Maryam Abdolali, Nicolas Gillis:
Simplex-Structured Matrix Factorization: Sparsity-based Identifiability and Provably Correct Algorithms. - Lingchao Chen, Lingming Zhang:
Fast and Precise On-the-fly Patch Validation for All. - Sepideh Aghamolaei:
Point-Location in The Arrangement of Curves. - Amine Laghaout:
Supervised learning on heterogeneous, attributed entities interacting over time. - Anjith George, Sébastien Marcel:
Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks. - Yuan Tian, Guangtao Zhai, Zhiyong Gao:
Video-ception Network: Towards Multi-Scale Efficient Asymmetric Spatial-Temporal Interactions. - Wenqing Zhang, Yang Qiu, Song Bai, Rui Zhang, Xiaolin Wei, Xiang Bai:
FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition. - Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky, Nina Tahmasebi:
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection. - Alexander Fuchs, Franz Pernkopf:
Wasserstein Routed Capsule Networks. - Guillaume Heusch, Anjith George, David Geissbühler, Zohreh Mostaani, Sébastien Marcel:
Deep Models and Shortwave Infrared Information to Detect Face Presentation Attacks. - Jonas Paccolat, Leonardo Petrini, Mario Geiger, Kevin Tyloo, Matthieu Wyart:
Compressing invariant manifolds in neural nets. - Georgios Patounas, Xenofon Foukas, Ahmed Elmokashfi, Mahesh K. Marina:
Characterization and Identification of Cloudified Mobile Network Performance Bottlenecks. - (Withdrawn) Approximate Covering with Lower and Upper Bounds via LP Rounding.
- Ralf Kornhuber, Joscha Podlesny, Harry Yserentant:
Numerical Homogenization of Fractal Interface Problems. - Tiantian Gong, Mohsen Minaei, Wenhai Sun, Aniket Kate:
Undercutting Bitcoin Is Not Profitable. - Dmitry Belyavsky, Billy Bob Brumley, Jesús-Javier Chi-Domínguez, Luis Rivera-Zamarripa, Igor Ustinov:
Set It and Forget It! Turnkey ECC for Instant Integration. - Elad Romanov, Tamir Bendory, Or Ordentlich:
Multi-reference alignment in high dimensions: sample complexity and phase transition. - Cheng Cheng, Nazar Emirov, Qiyu Sun:
Preconditioned Gradient Descent Algorithm for Inverse Filtering on Spatially Distributed Networks. - Pudong Ge, Yue Zhu, Tim C. Green, Fei Teng:
Resilient Secondary Voltage Control of Islanded Microgrids: An ESKBF-Based Distributed Fast Terminal Sliding Mode Control Approach. - Hanlin Ren:
Improved Distance Sensitivity Oracles with Subcubic Preprocessing Time. - Huan Zhou, José Gracia, Naweiluo Zhou, Ralf Schneider:
Collectives in hybrid MPI+MPI code: design, practice and performance. - Carl Doersch, Ankush Gupta, Andrew Zisserman:
CrossTransformers: spatially-aware few-shot transfer. - Mohammad Taha Bahadori, David E. Heckerman:
Debiasing Concept Bottleneck Models with Instrumental Variables. - Lili Chen, Wenjun Hu, Kyle Jamieson, Xiaojiang Chen, Dingyi Fang, Jeremy Gummeson:
Pushing the Physical Limits of IoT Devices with Programmable Metasurfaces. - Joss Wright, Robert Lennox, Diogo Veríssimo:
Online Monitoring of Global Attitudes Towards Wildlife. - James R. Wootton:
Procedural generation using quantum computation. - Thomas Ortner, Andreas Walch, Rebecca Nowak, Robert Barnes, Thomas Höllt, M. Eduard Gröller:
InCorr: Interactive Data-Driven Correlation Panels for Digital Outcrop Analysis. - Chính T. Hoàng, Nicolas Trotignon:
A class of graphs of large rankwidth. - Manish Sahu, Ronja Strömsdörfer, Anirban Mukhopadhyay, Stefan Zachow:
Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation. - Milad Nasr, Reza Shokri, Amir Houmansadr:
Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising. - Annalisa Buffa, Ondine Chanon, Rafael Vázquez Hernández:
Analysis-aware defeaturing: first results. - Saeid Alirezazadeh, Luís A. Alexandre:
Dynamic Task Allocation for Robotic Network Cloud Systems. - Uttam Ghosh, Pushpita Chatterjee, Sachin Shetty, Raja Datta:
An SDN-IoT-based Framework for Future Smart Cities: Addressing Perspective. - Wenqiang Xiao, Bo Gong, Jiguang Sun, Zhimin Zhang:
Finite Element Calculation of Photonic Band Structures for Frequency Dependent Materials. - Soroush Seifi, Tinne Tuytelaars:
Attend and Segment: Attention Guided Active Semantic Segmentation. - Joseph Cheriyan, Robert Cummings, Jack Dippel, Jasper Zhu:
An Improved Approximation Algorithm for the Matching Augmentation Problem. - Menouar Boulif, Karim Atif:
Towards a Better Modelling of the Cell Formation Problem: An Overview of Decisions and a Critical analysis of Constraints and Objectives. - Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, Christian Theobalt:
Neural Sparse Voxel Fields. - Kudakwashe Dandajena, Isabella Margarethe Venter, Mehrdad Ghaziasgar, Reg Dodds:
Complex Sequential Data Analysis: A Systematic Literature Review of Existing Algorithms. - Jialin Yuan, Chao Chen, Fuxin Li:
Deep Variational Instance Segmentation. - Marios Kountouris, Nikolaos Pappas:
Semantics-Empowered Communication for Networked Intelligent Systems. - Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong:
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. - Shabnam Nazmi, Xuyang Yan, Abdollah Homaifar, Emily A. Doucette:
Evolving Multi-label Classification Rules by Exploiting High-order Label Correlation. - Garvita Tiwari, Bharat Lal Bhatnagar, Tony Tung, Gerard Pons-Moll:
SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing. - Reihaneh Torkzadehmahani, Reza Nasirigerdeh, David B. Blumenthal, Tim Kacprowski, Markus List, Julian O. Matschinske, Julian Späth, Nina Kerstin Wenke, Béla Bihari, Tobias Frisch, Anne Hartebrodt, Anne-Christin Hauschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Markus Kastelitz, Rudolf Mayer, Cristian Nogales, Anastasia Pustozerova, Richard Röttger, Harald H. H. W. Schmidt, Ameli Schwalber, Christof Tschohl, Andrea Wohner, Jan Baumbach:
Privacy-preserving Artificial Intelligence Techniques in Biomedicine. - Han Cai, Chuang Gan, Ligeng Zhu, Song Han:
Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning. - Mengxi Li, Dylan P. Losey, Jeannette Bohg, Dorsa Sadigh:
Learning User-Preferred Mappings for Intuitive Robot Control. - Maxime Kirgo, Simone Melzi, Giuseppe Patanè, Emanuele Rodolà, Maks Ovsjanikov:
Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis. - Pavan C. Madhusudana, Xiangxu Yu, Neil Birkbeck, Yilin Wang, Balu Adsumilli, Alan C. Bovik:
Subjective and Objective Quality Assessment of High Frame Rate Videos. - Hung Le, Shay Solomon:
Light Euclidean Spanners with Steiner Points. - Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr:
Attention based Multiple Instance Learning for Classification of Blood Cell Disorders. - Frank Kammer, Andrej Sajenko:
FPT-space Graph Kernelizations. - Yifang Liu, Diego Romeres, Devesh K. Jha, Daniel Nikovski:
Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks. - Mittul Singh, Peter Smit, Sami Virpioja, Mikko Kurimo:
Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models. - Igor G. Vladimirov, Ian R. Petersen:
Mean Square Optimal Control by Interconnection for Linear Stochastic Hamiltonian Systems. - Nail Akar, Ozancan Dogan:
Discrete-time Queueing Model of Age of Information with Multiple Information Sources. - Tin Vu, Ahmed Eldawy:
R*-Grove: Balanced Spatial Partitioning for Large-scale Datasets. - Carl Johnell, Morteza Haghir Chehreghani:
Frank-Wolfe Optimization for Dominant Set Clustering. - Navya Iyengar:
Evaluation of Network Based IDS and Deployment of multi-sensor IDS. - Ozancan Dogan, Nail Akar:
The Multi-Source Preemptive M/PH/1/1 Queue with Packet Errors: Exact Distribution of the Age of Information and Its Peak. - Edgar Meij, Tara Safavi, Chenyan Xiong, Gianluca Demartini, Miriam Redi, Fatma Özcan:
Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020. - Reyhan Duezguen, Peter Mayer, Sanchari Das, Melanie Volkamer:
Towards Secure and Usable Authentication for Augmented and Virtual Reality Head-Mounted Displays. - Bo Wu, Haoyu Qin, Alireza Zareian, Carl Vondrick, Shih-Fu Chang:
Analogical Reasoning for Visually Grounded Language Acquisition. - Muhammad Hammad, Önder Babur, Hamid Abdul Basit, Mark van den Brand:
DeepClone: Modeling Clones to Generate Code Predictions. - Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan C. Russell, Ruben Villegas, Jimei Yang:
Contact and Human Dynamics from Monocular Video. - Kirill Mazur, Victor Lempitsky:
Cloud Transformers. - Charles L. A. Clarke, Alexandra Vtyurina, Mark D. Smucker:
Assessing top-k preferences. - Daniel Russo:
Approximation Benefits of Policy Gradient Methods with Aggregated States. - Alastair F. Donaldson:
A report on the first virtual PLDI conference. - Tania Martin, Georgios Karopoulos, José Luis Hernández-Ramos, Georgios Kambourakis, Igor Nai Fovino:
Demystifying COVID-19 digital contact tracing: A survey on frameworks and mobile apps. - Aditya Mogadala, Xiaoyu Shen, Dietrich Klakow:
Integrating Image Captioning with Rule-based Entity Masking. - Ali Hatamizadeh, Debleena Sengupta, Demetri Terzopoulos:
End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery. - Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin:
Robust Machine Learning via Privacy/Rate-Distortion Theory. - Sheik Mohammad Mostakim Fattah, Athman Bouguettaya:
Event-based Detection of Changes in IaaS Performance Signatures. - Wei-Ning Chen, Peter Kairouz, Ayfer Özgür:
Breaking the Communication-Privacy-Accuracy Trilemma. - Fatemeh Vakhshiteh, Raghavendra Ramachandra, Ahmad Nickabadi:
Threat of Adversarial Attacks on Face Recognition: A Comprehensive Survey. - Sourav Patel, Blake Lundstrom, Govind Saraswat, Murti V. Salapaka:
Distributed Power Apportioning with Early Dispatch for Ancillary Services in Renewable Grids. - Sai Pushpak Nandanoori, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Sutanay Choudhury:
Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes. - Jun Zeng, Bike Zhang, Koushil Sreenath:
Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function. - Ondrej Maxian, Alex Mogilner, Aleksandar Donev:
An integral-based spectral method for inextensible slender fibers in Stokes flow. - Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li:
Comprehensive Image Captioning via Scene Graph Decomposition. - Xiaochang Li, Bei Chen, Xuesong Lu:
Discovering Traveling Companions using Autoencoders. - Mehrnoosh Askarpour, Matteo Rossi, Omer Tiryakiler:
Co-Simulation of Human-Robot Collaboration: from Temporal Logic to 3D Simulation. 1-8 - Livia Lestingi, Mehrnoosh Askarpour, Marcello M. Bersani, Matteo Rossi:
Statistical Model Checking of Human-Robot Interaction Scenarios. 9-17 - Victoria Edwards, Loy McGuire, Signe A. Redfield:
Establishing Reliable Robot Behavior using Capability Analysis Tables. 19-35 - Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein:
Improving Competence for Reliable Autonomy. 37-53 - Eleonora Iotti, Giuseppe Petrosino, Stefania Monica, Federico Bergenti:
Exploratory Experiments on Programming Autonomous Robots in Jadescript. 55-67 - Davide Ancona, Chiara Bassano, Manuela Chessa, Viviana Mascardi, Fabio Solari:
Engineering Reliable Interactions in the Reality-Artificiality Continuum. 69-80 - Peter Stringer, Rafael C. Cardoso, Xiaowei Huang, Louise A. Dennis:
Adaptable and Verifiable BDI Reasoning. 117-125 - Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum:
End-to-End Optimization of Scene Layout. - Ting-Wu Chin, Ari S. Morcos, Diana Marculescu:
PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks. - Jiawei Wang, Yang Zheng, Chaoyi Chen, Qing Xu, Keqiang Li:
Leading Cruise Control in Mixed Traffic Flow. - Wei Mao, Miaomiao Liu, Mathieu Salzmann:
History Repeats Itself: Human Motion Prediction via Motion Attention. - Swati Padhee, Tanay Kumar Saha, Joel R. Tetreault, Alejandro Jaimes:
Clustering of Social Media Messages for Humanitarian Aid Response during Crisis. - Yan Sun, Chao Wang, Huan Cai, Chunming Zhao, Yiqun Wu, Yan Chen:
Deep Learning Based Equalizer for MIMO-OFDM Systems with Insufficient Cyclic Prefix. - Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu, Juwei Lu, Jin Tang, Konstantinos N. Plataniotis:
All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling. - Xiaowen Cao, Guangxu Zhu, Jie Xu, Kaibin Huang:
Cooperative Interference Management for Over-the-Air Computation Networks. - Mansi Ranjit Mane, Shashank Kedia, Aditya Mantha, Stephen D. Guo, Kannan Achan:
Product Title Generation for Conversational Systems using BERT. - Tatsumi Uezato, Naoto Yokoya, Wei He:
Illumination invariant hyperspectral image unmixing based on a digital surface model. - Dishant Goyal, Ragesh Jaiswal, Amit Kumar:
FPT Approximation for Constrained Metric k-Median/Means. - Ciaran M. Roberts, José Daniel Lara, Rodrigo Henriquez-Auba, Bala Kameshwar Poolla, Duncan S. Callaway:
Grid-Coupled Dynamic Response of Battery-Driven Voltage Source Converters. - Jefferson Viana Fonseca Abreu, Jorge Henrique Cabral Fernandes, João José Costa Gondim, Célia Ghedini Ralha:
Bot Development for Social Engineering Attacks on Twitter. - Wei Ji, Jingjing Li, Miao Zhang, Yongri Piao, Huchuan Lu:
Accurate RGB-D Salient Object Detection via Collaborative Learning. - Kyungmin Lee, Chiyoun Park, Ilhwan Kim, Namhoon Kim, Jaewon Lee:
Applying GPGPU to Recurrent Neural Network Language Model based Fast Network Search in the Real-Time LVCSR. - Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici:
End-to-end Learning of Compressible Features. - Omkar Sudhir Patil, Runhan Sun, Shubhendu Bhasin, Warren E. Dixon:
Adaptive Control of Time-Varying Parameter Systems with Asymptotic Tracking. - Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia:
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution. - Nachuan Ma:
Autonomous Removal of Perspective Distortion based on Detection Results of Robotic Elevator Button Corner. - Haoran Li, Qichao Zhang, Dongbin Zhao:
Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment. - Mei-Chen Yeh, Fang Li:
Zero-Shot Recognition through Image-Guided Semantic Classification. - Mohammad Behnia, Prateek Sahu, Riccardo Paccagnella, Jiyong Yu, Zirui Neil Zhao, Xiang Zou, Thomas Unterluggauer, Josep Torrellas, Carlos V. Rozas, Adam Morrison, Frank McKeen, Fangfei Liu, Ron Gabor, Christopher W. Fletcher, Abhishek Basak, Alaa R. Alameldeen:
Speculative Interference Attacks: Breaking Invisible Speculation Schemes. - Junli Shen, Maocai Xia:
AI Data poisoning attack: Manipulating game AI of Go. - Elad Yom-Tov, Vasileios Lampos, Ingemar J. Cox, Michael Edelstein:
Providing early indication of regional anomalies in COVID19 case counts in England using search engine queries. - Ningning Ma, Xiangyu Zhang, Jiawei Huang, Jian Sun:
WeightNet: Revisiting the Design Space of Weight Networks. - Ningning Ma, Xiangyu Zhang, Jian Sun:
Funnel Activation for Visual Recognition. - Cong Han Lim, Raquel Urtasun, Ersin Yumer:
Hierarchical Verification for Adversarial Robustness. - Lloyd N. Trefethen, Yuji Nakatsukasa, J. A. C. Weideman:
Exponential node clustering at singularities for rational approximation, quadrature, and PDEs. - (Withdrawn) Groebner basis structure of ideal interpolation.
- Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan Sun, Jiancheng Lv:
DBS: Dynamic Batch Size For Distributed Deep Neural Network Training. - Omar Inverso, Hernán C. Melgratti, Luca Padovani, Catia Trubiani, Emilio Tuosto:
Probabilistic Analysis of Binary Sessions. - Chi Hoang, Youngsoo Choi, Kevin Carlberg:
Domain-decomposition least-squares Petrov-Galerkin (DD-LSPG) nonlinear model reduction. - Alexander K. Lew, Monica Agrawal, David A. Sontag, Vikash K. Mansinghka:
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming. - Peter Kietzmann, Thomas C. Schmidt, Matthias Wählisch:
A Guideline on Pseudorandom Number Generation (PRNG) in the IoT. - Hamit Basgol, Inci Ayhan, Emre Ugur:
Psychological, Computational and Robotic Models of Time Perception. - Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo:
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. - Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Rahul Jain:
Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation. - Jinwoo Lee, Min-Hyuk Sung, Hyunjoon Lee, Junho Kim:
Neural Geometric Parser for Single Image Camera Calibration. - Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo:
Whole-Body Human Pose Estimation in the Wild. - Juan C. Catana-Salazar, Alfredo García, Javier Tejel, Jorge Urrutia:
Plane augmentation of plane graphs to meet parity constraints. - Sheng Jin, Wentao Liu, Enze Xie, Wenhai Wang, Chen Qian, Wanli Ouyang, Ping Luo:
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation. - Kathleen Siminyu, Sackey Freshia, Jade Z. Abbott, Vukosi Marivate:
AI4D - African Language Dataset Challenge. - Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. - Diodato Ferraioli, Paolo Penna, Carmine Ventre:
Two-way Greedy: Algorithms for Imperfect Rationality. - Michele Polese, Lorenzo Bertizzolo, Leonardo Bonati, Abhimanyu Gosain, Tommaso Melodia:
An Experimental mmWave Channel Model for UAV-to-UAV Communications. - Balázs Németh, Nuria Molner, Jorge Martín-Pérez, Carlos J. Bernardos, Antonio de la Oliva, Balázs Sonkoly:
Delay and reliability-constrained VNF placement on mobile and volatile 5G infrastructure. - Simone Martini, Andrea Masini, Margherita Zorzi:
From 2-sequents and Linear Nested Sequents to Natural Deduction for Normal Modal Logics. - Gabriel Van Zandycke, Christophe De Vleeschouwer:
Real-time CNN-based Segmentation Architecture for Ball Detection in a Single View Setup. - Xiaolong Wan, Hongzhi Wang:
Reachability Queries with Label and Substructure Constraints on Knowledge Graphs. - Kaung Si Thu, Weerakorn Ongsakul:
Simulation of Blockchain based Power Trading with Solar Power Prediction in Prosumer Consortium Model. - Tao Jin, Siyu Huang, Ming Chen, Yingming Li, Zhongfei Zhang:
SBAT: Video Captioning with Sparse Boundary-Aware Transformer. - Immo Huismann, Jörg Stiller, Jochen Fröhlich:
Linearizing the hybridizable discontinuous Galerkin method: A linearly scaling operator. - Maurizio Ferrari Dacrema, Federico Parroni, Paolo Cremonesi, Dietmar Jannach:
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems. - Hyeryung Jang, Osvaldo Simeone:
Multi-Compartment Variational Online Learning for Spiking Neural Networks. - Hassan Hage, Vahid Hashemi, Frank Mantwill:
Towards a Systems Engineering based Automotive Product Engineering Process. - Carlos Campos, Richard Elvira, Juan J. Gómez Rodríguez, José M. M. Montiel, Juan D. Tardós:
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM. - Fabian Eitel, Jan Philipp Albrecht, Martin Weygandt, Friedemann Paul, Kerstin Ritter:
Harnessing spatial homogeneity of neuroimaging data: patch individual filter layers for CNNs. - Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool, Dengxin Dai:
Weakly Supervised 3D Object Detection from Lidar Point Cloud. - Shaull Almagor:
Process Symmetry in Probabilistic Transducers. - Anna Nguyen, Adrian Oberföll, Michael Färber:
Right for the Right Reason: Making Image Classification Robust. - Ferran Mazzanti, Enrique Romero:
Efficient Evaluation of the Partition Function of RBMs with Annealed Importance Sampling. - Pietro Tedeschi, Spiridon Bakiras, Roberto Di Pietro:
IoTrace: A Flexible, Efficient, and Privacy-Preserving IoT-enabled Architecture for Contact Tracing. - Zaid H. Nasralla, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Blackout Resilient Optical Core Network. - Haider Tarish Haider, Ong Hang See, Wilfried Elmenreich:
Dynamic residential load scheduling based on an adaptive consumption level pricing scheme. - Marcel Neunhoeffer, Zhiwei Steven Wu, Cynthia Dwork:
Private Post-GAN Boosting. - Joonas Hämäläinen, Tommi Kärkkäinen, Tuomo Rossi:
Scalable Initialization Methods for Large-Scale Clustering. - Tianze Rong, Yanjia Zhu, Yichao Xiong, Hongxiang Cai:
A Solution to Product detection in Densely Packed Scenes. - Konstantinos Perifanos, Eirini Florou, Dionysis Goutsos:
Deep Learning based, end-to-end metaphor detection in Greek language with Recurrent and Convolutional Neural Networks. - Chen Jiang, Qingna Li:
A Semismooth-Newton's-Method-Based Linearization and Approximation Approach for Kernel Support Vector Machines. - Rizka Purwanto, Arindam Pal, Alan Blair, Sanjay Jha:
PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites. - Eduardo Lopez, Kamran Sartipi:
Detecting the Insider Threat with Long Short Term Memory (LSTM) Neural Networks. - Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev, Matthias Nießner, Denis Zorin, Evgeny Burnaev:
CAD-Deform: Deformable Fitting of CAD Models to 3D Scans. - Michele Loi, Eleonora Viganò, Lonneke van der Plas:
The societal and ethical relevance of computational creativity. - Nataly Brukhim, Elad Hazan:
Online Boosting with Bandit Feedback. - Mahesh Chandra:
Comparative Analysis of Polynomial and Rational Approximations of Hyperbolic Tangent Function for VLSI Implementation. - Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng:
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation. - Kaizheng Liu, Ming Yang, Zhen Ling, Huaiyu Yan, Yue Zhang, Xinwen Fu, Wei Zhao:
On Manually Reverse Engineering Communication Protocols of Linux Based IoT Systems. - Kenneth Lai, Svetlana N. Yanushkevich:
CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition. - Ning Wang, Wengang Zhou, Yibing Song, Chao Ma, Wei Liu, Houqiang Li:
Unsupervised Deep Representation Learning for Real-Time Tracking. - (Withdrawn) Shape-CD: Change-Point Detection in Time-Series Data with Shapes and Neurons.
- Kenneth Lai, Xinyuan Tu, Svetlana N. Yanushkevich:
Dog Identification using Soft Biometrics and Neural Networks. - Kenneth Lai, Svetlana N. Yanushkevich:
Multi-Metric Evaluation of Thermal-to-Visual Face Recognition. - Sangram Kishor Jena, Gautam K. Das:
Total Domination in Unit Disk Graphs. - Fei Mi, Xiaoyu Lin, Boi Faltings:
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation. - Jonathan Halcrow, Alexandru Mosoi, Sam Ruth, Bryan Perozzi:
Grale: Designing Networks for Graph Learning. - Martin C. Rinard, Austin Gadient:
Dataflow Analysis With Prophecy and History Variables. - Sergey Viktorovich Zykov, Joseph Afriyie Attakorah:
Survey of Human Factors in Crisis Responsive Software Development. - Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning. - Lucas Guerreiro, Filipi Nascimento Silva, Diego R. Amancio:
A comparative analysis of knowledge acquisition performance in complex networks. - Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua:
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification. - Floris Geerts:
The expressive power of kth-order invariant graph networks. - Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun:
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting. - Markos Charalambous, Petros Papagiannis, Antonis Papasavva, Pantelitsa Leonidou, Rafael Constaninou, Lia Terzidou, Theodoros Christophides, Pantelis Nicolaou, Orfeas Theofanis, George Kalatzantonakis, Michael Sirivianos:
A Privacy-Preserving Architecture for the Protection of Adolescents in Online Social Networks. - Alexandre Coulombe, Hsiu-Chin Lin:
High Precision Real Time Collision Detection. - Damiano Torre, Mauricio Alférez, Ghanem Soltana, Mehrdad Sabetzadeh, Lionel C. Briand:
Model Driven Engineering for Data Protection and Privacy: Application and Experience with GDPR. - Siavash Farzan, Ai-Ping Hu, Michael Bick, Jonathan D. Rogers:
Robust Control Synthesis and Verification for Wire-Borne Underactuated Brachiating Robots Using Sum-of-Squares Optimization. - Augusto Modanese:
Lower Bounds and Hardness Magnification for Sublinear-Time Shrinking Cellular Automata. - Andreia Sofia Teixeira, Szymon Talaga, Trevor James Swanson, Massimo Stella:
Revealing semantic and emotional structure of suicide notes with cognitive network science. - Jarek Duda:
Improving distribution and flexible quantization for DCT coefficients. - Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, José Miguel Hernández-Lobato, Richard E. Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang:
Diagnostic Questions: The NeurIPS 2020 Education Challenge. - Olga Krestinskaya, Bhaskar Choubey, Alex Pappachen James:
AM-DCGAN: Analog Memristive Hardware Accelerator for Deep Convolutional Generative Adversarial Networks. - Jeremy D. Castagno, Ella M. Atkins:
Polylidar3D - Fast Polygon Extraction from 3D Data. - Chuanshuai Chen, Jiazhu Dai:
Mitigating backdoor attacks in LSTM-based Text Classification Systems by Backdoor Keyword Identification. - Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy:
TSIT: A Simple and Versatile Framework for Image-to-Image Translation. - Yujie Zhong, Zelu Deng, Sheng Guo, Matthew R. Scott, Weilin Huang:
Representation Sharing for Fast Object Detector Search and Beyond. - Aditya Srivastava, V. Harsha Vardhan:
HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts. - Tomohiro Koana, André Nichterlein:
Detecting and Enumerating Small Induced Subgraphs in c-Closed Graphs. - Subhra Jyoti Baroi, Nivedita Singh, Ringki Das, Thoudam Doren Singh:
NITS-Hinglish-SentiMix at SemEval-2020 Task 9: Sentiment Analysis For Code-Mixed Social Media Text. - Hongyu Li, Jihe Wang, Yu Zhang, Zirui Wang, Tiejun Wang:
A Study on Evaluation Standard for Automatic Crack Detection Regard the Random Fractal. - Jaesung Huh, Hee Soo Heo, Jingu Kang, Shinji Watanabe, Joon Son Chung:
Augmentation adversarial training for unsupervised speaker recognition. - James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar:
Hide-and-Seek Privacy Challenge. - Xuchong Qiu, Yang Xiao, Chaohui Wang, Renaud Marlet:
Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference & Application. - Golrokh Hamidi:
Reinforcement Learning Assisted Load Test Generation for E-Commerce Applications. - Neha Prasad, Karren D. Yang, Caroline Uhler:
Optimal Transport using GANs for Lineage Tracing. - Xiang Long, Kaipeng Deng, Guanzhong Wang, Yang Zhang, Qingqing Dang, Yuan Gao, Hui Shen, Jianguo Ren, Shumin Han, Errui Ding, Shilei Wen:
PP-YOLO: An Effective and Efficient Implementation of Object Detector. - Qiang Liu, Zhaocheng Liu, Xiaofang Zhu, Yeliang Xiu, Jun Zhu:
Deep Active Learning by Model Interpretability. - Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri:
Learning Differentiable Programs with Admissible Neural Heuristics. - Marco Bressan:
Faster algorithms for sampling connected induced subgraphs. - Xianyu Chen, Ming Jiang, Qi Zhao:
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection. - Søren Eller Thomsen, Bas Spitters:
Formalizing Nakamoto-Style Proof of Stake. - Yang Xiao, Renaud Marlet:
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild. - Amal A. Alahmadi, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Optimization of Processing Allocation in Vehicular Edge Cloud based Architecture. - Frank Slomka, Mohammadreza Sadeghi:
HeRTA: Heaviside Real-Time Analysis. - Yuchen He, Sung Ha Kang, Jean-Michel Morel:
Silhouette Vectorization by Affine Scale-space. - Lukasz Kowalik, Konrad Majewski:
The Asymmetric Travelling Salesman Problem in Sparse Digraphs. - Mingyu Cai, Hao Peng, Zhijun Li, Hongbo Gao, Zhen Kan:
Receding Horizon Control Based Online Motion Planning with Partially Infeasible LTL Specifications. - Edward O'Dwyer, Indranil Pan, Richard Charlesworth, Sarah Butler, Nilay Shah:
Integration of an Energy Management Tool and Digital Twin for Coordination and Control of Multi-vector Smart Energy Systems. - Anoop Cherian, Moitreya Chatterjee, Narendra Ahuja:
Sound2Sight: Generating Visual Dynamics from Sound and Context. - Samuel Albanie, Gül Varol, Liliane Momeni, Triantafyllos Afouras, Joon Son Chung, Neil Fox, Andrew Zisserman:
BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues. - Dimitar I. Dimitrov, Gagandeep Singh, Timon Gehr, Martin T. Vechev:
Scalable Inference of Symbolic Adversarial Examples. - Chuhan Wu, Fangzhao Wu, Tao Di, Yongfeng Huang, Xing Xie:
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data. - Jiaxin Liang, Haoyuan Pan, Soung Chang Liew:
Is Multichannel Access Useful in Timely Information Update? - Vladimir Tankovich, Christian Häne, Sean Ryan Fanello, Yinda Zhang, Shahram Izadi, Sofien Bouaziz:
HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching. - Oladapo Oyebode, Chinenye Ndulue, Ashfaq Adib, Dinesh Mulchandani, Banuchitra Suruliraj, Fidelia Anulika Orji, Christine Chambers, Sandra Meier, Rita Orji:
Health, Psychosocial, and Social issues emanating from COVID-19 pandemic based on Social Media Comments using Natural Language Processing. - Yash Kant, Dhruv Batra, Peter Anderson, Alexander G. Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal:
Spatially Aware Multimodal Transformers for TextVQA. - Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li:
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending. - Shivam Akhauri, Laura Y. Zheng, Ming C. Lin:
Enhanced Transfer Learning for Autonomous Driving with Systematic Accident Simulation. - Patrick J. Roddy, Jason D. McEwen:
Sifting Convolution on the Sphere. - Albert R. Gnadt, Joseph Belarge, Aaron Canciani, Lauren Conger, Joseph Curro, Alan Edelman, Peter Morales, Michael F. O'Keeffe, Jonathan Taylor, Christopher Rackauckas:
Signal Enhancement for Magnetic Navigation Challenge Problem. - Hrishee Shastri, Eitan Frachtenberg:
Revisiting Locality in Binary-Integer Representations. - Morteza Noshad, Ivana Jankovic, Jonathan H. Chen:
Clinical Recommender System: Predicting Medical Specialty Diagnostic Choices with Neural Network Ensembles. - Andrew Brown, Weidi Xie, Vicky Kalogeiton, Andrew Zisserman:
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval. - Luca Weihs, Unnat Jain, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing:
Bridging the Imitation Gap by Adaptive Insubordination. - Freark I. van der Berg:
Recursive Variable-Length State Compression for Multi-Core Software Model Checking. - Jing Zhang, Jianwen Xie, Nick Barnes:
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection. - Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh:
ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions. - Marco Antonio Armenta, Pierre-Marc Jodoin:
The Representation Theory of Neural Networks. - Zhi Gang Liu, Matthew Mattina:
Efficient Residue Number System Based Winograd Convolution. - Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin:
The Lottery Ticket Hypothesis for Pre-trained BERT Networks. - Ran Tamir, Neri Merhav:
The MMI Decoder is Asymptotically Optimal for the Typical Random Code and for the Expurgated Code. - Ruy Luiz Milidiú, Luis Felipe Müller:
SeismoGlow - Data augmentation for the class imbalance problem. - Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher:
Addressing the Multistakeholder Impact of Popularity Bias in Recommendation Through Calibration. - Nathan J. Kong, J. Joe Payne, George Council, Aaron M. Johnson:
Mapping Distributions through Hybrid Dynamical Systems and its Application to Kalman Filtering. - Jamy Li, Daniel P. Davison, Bob Schadenberg, Pauline Chevalier, Alyssa Alcorn, Alria Williams, Suncica Petrovic, Snezana Babovic Dimitrijevic, Jie Shen, Liz Pellicano, Vanessa Evers:
Usability of a Robot's Realistic Facial Expressions and Peripherals in Autistic Children's Therapy. - Alexander M. Rush, Hendrik Strobelt:
MiniConf - A Virtual Conference Framework. - (Withdrawn) On Solving Word Equations via Program Transformation.
- Eric Chu, Deb Roy, Jacob Andreas:
Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction. - Mu Mu:
WiFi-based Crowd Monitoring and Workspace Planning for COVID-19 Recovery. - Mark J. Kilgard:
Anecdotal Survey of Variations in Path Stroking among Real-world Implementations. - Massimiliano Mancini, Zeynep Akata, Elisa Ricci, Barbara Caputo:
Towards Recognizing Unseen Categories in Unseen Domains. - Mohsin Kamal, Abdulah Aljohani, Eisa Alanazi:
IoT meets COVID-19: Status, Challenges, and Opportunities. - Dharmesh Tarapore, Shahin Roozkhosh, Steven Brzozowski, Renato Mancuso:
Observing the Invisible: Live Cache Inspection for High-Performance Embedded Systems. - Michael DiPasquale, Nelly Villamizar:
A lower bound for the dimension of tetrahedral splines in large degree. - Ryan Peterson, Ali Tevfik Buyukkocak, Derya Aksaray, Yasin Yazicioglu:
Decentralized Safe Reactive Planning under TWTL Specifications. - Martin Garriga, Stefano Dalla Palma, Maximiliano Arias, Alan De Renzis, Remo Pareschi, Damian Andrew Tamburri:
Blockchain and Cryptocurrencies: a Classification and Comparison of Architecture Drivers. - Hugo Rodrigues, André Coelho, Manuel Ricardo, Rui Campos:
Energy-aware Relay Positioning in Flying Networks. - Anthony D. Blaom, Franz J. Király, Thibaut Liénart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer:
MLJ: A Julia package for composable Machine Learning. - Angelo Tulumello, Andrea Mayer, Marco Bonola, Paolo Lungaroni, Carmine Scarpitta, Stefano Salsano, Ahmed Abdelsalam, Pablo Camarillo, Darren Dukes, François Clad, Clarence Filsfils:
Micro SIDs: a solution for Efficient Representation of Segment IDs in SRv6 Networks. - Evonne Ng, Hanbyul Joo, Shiry Ginosar, Trevor Darrell:
Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics. - Carsten Gräser, Daniel Kienle, Oliver Sander:
Truncated Nonsmooth Newton Multigrid for phase-field brittle-fracture problems. - Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar:
Explore More and Improve Regret in Linear Quadratic Regulators. - Daniel Jiwoong Im, Iljung S. Kwak, Kristin Branson:
Evaluation metrics for behaviour modeling. - Jianyu Su, Stephen C. Adams, Peter A. Beling:
Value-Decomposition Multi-Agent Actor-Critics. - Lena Collienne, Alex Gavryushkin:
Computing nearest neighbour interchange distances between ranked phylogenetic trees. - Ashlesha Nesarikar, Waqas Haque, Suchith Vuppala, Abhijit Nesarikar:
COVID-19 Remote Patient Monitoring: Social Impact of AI. - Daniel S. Brown, Scott Niekum, Marek Petrik:
Bayesian Robust Optimization for Imitation Learning. - Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang:
Off-Policy Multi-Agent Decomposed Policy Gradients. - Huacheng Yu:
Tight Distributed Sketching Lower Bound for Connectivity. - Aritra Ghosh, Neil T. Heffernan, Andrew S. Lan:
Context-Aware Attentive Knowledge Tracing. - Lingyi Liu, Yunpeng Bai, Ying Li:
Locality-Aware Rotated Ship Detection in High-Resolution Remote Sensing Imagery Based on Multi-Scale Convolutional Network. - Shana Moothedath, Dinuka Sahabandu, Joey Allen, Linda Bushnell, Wenke Lee, Radha Poovendran:
Stochastic Dynamic Information Flow Tracking Game using Supervised Learning for Detecting Advanced Persistent Threats. - Edric John Cruz Nacpil, Zheng Wang, Zhanhong Yan, Tsutomu Kaizuka, Kimihiko Nakano:
Surface Electromyography-controlled Pedestrian Collision Avoidance: A Driving Simulator Study. - Siyi Liu, Yujia Zheng:
Long-tail Session-based Recommendation. - Seungjun Lee, Taekang Eom, Hee-Kap Ahn:
Largest triangles in a polygon. - Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan, Kalyanmoy Deb:
Image-Based Benchmarking and Visualization for Large-Scale Global Optimization. - Katie Everett, Ian Fischer:
Cycles in Causal Learning. - Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan:
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. - Yuanhan Zhang, Zhenfei Yin, Yidong Li, Guojun Yin, Junjie Yan, Jing Shao, Ziwei Liu:
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations. - Bum Chul Kwon:
User-driven Analysis of Longitudinal Health Data with Hidden Markov Models for Clinical Insights. - Yilun Du, Kevin Smith, Tomer D. Ullman, Joshua B. Tenenbaum, Jiajun Wu:
Unsupervised Discovery of 3D Physical Objects from Video. - Zhuojian Xiao, Yunjiang Jiang, Guoyu Tang, Lin Liu, Sulong Xu, Yun Xiao, Weipeng Yan:
Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint. - Joachim Gudmundsson, Sampson Wong:
Improving the dilation of a metric graph by adding edges. - Sam Nolan, Shakila Khan Rumi, Christoph Anderson, Klaus David, Flora D. Salim:
Exploring the Impact of COVID-19 Lockdown on Social Roles and Emotions while Working from Home. - Thanh Tang Nguyen, Sunil Gupta, Svetha Venkatesh:
Distributional Reinforcement Learning with Maximum Mean Discrepancy. - Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li:
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning. - Jukka Ruohonen, Sampsa Rauti, Sami Hyrynsalmi, Ville Leppänen:
A Case Study on Software Vulnerability Coordination. - Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan:
Machine Learning Explanations to Prevent Overtrust in Fake News Detection. - Shegufta Bakht Ahsan, Rui Yang, Shadi A. Noghabi, Indranil Gupta:
Home, SafeHome: Smart Home Reliability with Visibility and Atomicity. - Silvia Bucci, Mohammad Reza Loghmani, Tatiana Tommasi:
On the Effectiveness of Image Rotation for Open Set Domain Adaptation. - K. V. Sridhar, Raghu Vamshi Hemadri:
Performance analysis of weighted low rank model with sparse image histograms for face recognition under lowlevel illumination and occlusion. - Luca Bonaventura, Macarena Gómez Mármol:
The TR-BDF2 method for second order problems in structural mechanics. - Silvia Bucci, Antonio D'Innocente, Yujun Liao, Fabio Maria Carlucci, Barbara Caputo, Tatiana Tommasi:
Self-Supervised Learning Across Domains. - Hans-Christian Ruiz Euler, Unai Alegre Ibarra, Bram van de Ven, Hajo Broersma, Peter A. Bobbert, Wilfred G. van der Wiel:
Dopant Network Processing Units: Towards Efficient Neural-network Emulators with High-capacity Nanoelectronic Nodes. - Ronny Tredup, Evgeny Erofeev:
On the Parameterized Complexity of Synthesizing Boolean Petri Nets With Restricted Dependency (Technical Report). - Siddhant Arora:
A Survey on Graph Neural Networks for Knowledge Graph Completion. - Mei Wang, Jianwen Su, Haiqin Lu:
Impact of Medical Data Imprecision on Learning Results. - Alexandre Capone, Sandra Hirche:
Anticipating the Long-Term Effect of Online Learning in Control. - Qi Fan, Lei Ke, Wenjie Pei, Chi-Keung Tang, Yu-Wing Tai:
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation. - Weidong Li:
Improved approximation schemes for early work scheduling on identical parallel machines with common due date. - Jaeyoul Shin, Taeuk Kim, Sang-goo Lee:
IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize? - Nantheera Anantrasirichai, David Bull:
Artificial Intelligence in the Creative Industries: A Review. - Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A. Ross, Thomas A. Funkhouser, Alireza Fathi:
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds. - Takayuki Osa:
Learning the Solution Manifold in Optimization and Its Application in Motion Planning. - Long Chen, Xuehai Huang:
Finite elements for divdiv-conforming symmetric tensors in three dimensions. - Kuang-Huei Lee, Ian Fischer, Anthony Z. Liu, Yijie Guo, Honglak Lee, John F. Canny, Sergio Guadarrama:
Predictive Information Accelerates Learning in RL. - Ka Leong Cheng, Zhaoyang Yang, Qifeng Chen, Yu-Wing Tai:
Fully Convolutional Networks for Continuous Sign Language Recognition. - Murdoch James Gabbay:
What is an EUTxO blockchain? - Zhi Hou, Xiaojiang Peng, Yu Qiao, Dacheng Tao:
Visual Compositional Learning for Human-Object Interaction Detection. - Kuang-Hao Liu:
Quasi-Degradation Probability of Two-User NOMA over Rician Fading Channels. - Udaya Pratap Singh:
A new approach to find an approximate solution of linear initial value problems. - Chaochao Lu, Richard E. Turner, Yingzhen Li, Nate Kushman:
Interpreting Spatially Infinite Generative Models. - Wojciech Jamroga, Yan Kim, Damian Kurpiewski, Peter Y. A. Ryan:
Model Checkers Are Cool: How to Model Check Voting Protocols in Uppaal. - Hanbin Zhao, Hao Zeng, Xin Qin, Yongjian Fu, Hui Wang, Bourahla Omar, Xi Li:
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning. - Qi Gu, Zhihua Xia, Xingming Sun, Jian Weng:
MSPPIR: Multi-source privacy-preserving image retrieval in cloud computing. - Thuong-Khanh Tran, Quang Nhat Vo, Xiaopeng Hong, Xiaobai Li, Guoying Zhao:
Micro-expression spotting: A new benchmark. - Wojciech Jamroga, Damian Kurpiewski, Vadim Malvone:
Natural Strategic Abilities in Voting Protocols. - Abhilash Patel:
A Framework to Control Inter-Area Oscillations with Local Measurement. - Tim Brüdigam, Fulvio di Luzio, Lucia Pallottino, Dirk Wollherr, Marion Leibold:
Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments. - Aina Garí Soler, Marianna Apidianaki:
MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical Meaning. - Carlos Segarra, Ricard Delgado-Gonzalo, Valerio Schiavoni:
MQT-TZ: Hardening IoT Brokers Using ARM TrustZone. - Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong:
Transferred Discrepancy: Quantifying the Difference Between Representations. - Zoltán Kovács, Jonathan H. Yu:
Towards Automated Discovery of Geometrical Theorems in GeoGebra. - Luyan Liu, Kai Ma, Yefeng Zheng:
Learning Crisp Edge Detector Using Logical Refinement Network. - Nikolas Adaloglou, Nicholas Vretos, Petros Daras:
Multi-view adaptive graph convolutions for graph classification. - Attila Fazekas, György Kovács:
Approximately Optimal Binning for the Piecewise Constant Approximation of the Normalized Unexplained Variance (nUV) Dissimilarity Measure. - Stefano Zorzi, Ksenia Bittner, Friedrich Fraundorfer:
Map-Repair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images. - Ryuta Arisaka, Takayuki Ito:
Abstract Interpretation in Formal Argumentation: with a Galois Connection for Abstract Dialectical Frameworks and May-Must Argumentation (First Report). - Mostafa Emadi, Ruhollah Taghizadeh-Mehrjardi, Ali Cherati, Majid Danesh, Amir Mosavi, Thomas Scholten:
Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran. - Joël Colloc:
An Object Oriented Approach For the Protection of Information Systems. - Dipankar Chaki, Athman Bouguettaya:
Fine-grained Conflict Detection of IoT Services. - Oana Balalau, Catarina Conceição, Helena Galhardas, Ioana Manolescu, Tayeb Merabti, Jingmao You, Youssr Youssef:
Graph integration of structured, semistructured and unstructured data for data journalism. - Ronen Gradwohl, Niklas Hahn, Martin Hoefer, Rann Smorodinsky:
Algorithms for Persuasion with Limited Communication. - Jiaxiang Shang, Tianwei Shen, Shiwei Li, Lei Zhou, Mingmin Zhen, Tian Fang, Long Quan:
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency. - Hongyu Chen, Zhijie Yang, Xiting Zhao, Guangyuan Weng, Haochuan Wan, Jianwen Luo, Xiaoya Ye, Zehao Zhao, Zhenpeng He, Yongxia Shen, Sören Schwertfeger:
Advanced Mapping Robot and High-Resolution Dataset. - Aditya Shrivastava:
Adma: A Flexible Loss Function for Neural Networks. - Simón C. Smith, Subramanian Ramamoorthy:
Semi-supervised Learning From Demonstration Through Program Synthesis: An Inspection Robot Case Study. 81-101 - Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Linda Bushnell, Radha Poovendran:
Secure Control in Partially Observable Environments to Satisfy LTL Specifications. - Jonas Tjomsland, Sinan Kalkan, Hatice Gunes:
Mind Your Manners! A Dataset and A Continual Learning Approach for Assessing Social Appropriateness of Robot Actions. - Jean-Bastien Grill, Florent Altché, Yunhao Tang, Thomas Hubert, Michal Valko, Ioannis Antonoglou, Rémi Munos:
Monte-Carlo Tree Search as Regularized Policy Optimization. - (Withdrawn) Deforming the Loss Surface.
- Jing Chen, Chenhui Wang, Kejun Wang, Chaoqun Yin, Cong Zhao, Tao Xu, Xinyi Zhang, Ziqiang Huang, Meichen Liu, Tao Yang:
HEU Emotion: A Large-scale Database for Multi-modal Emotion Recognition in the Wild. - Marvin Muñoz Barón, Marvin Wyrich, Stefan Wagner:
An Empirical Validation of Cognitive Complexity as a Measure of Source Code Understandability. - Alexandra-Ioana Albu, Alina Enescu, Luigi Malagò:
Improved Slice-wise Tumour Detection in Brain MRIs by Computing Dissimilarities between Latent Representations. - Nikolas Adaloglou, Theocharis Chatzis, Ilias Papastratis, Andreas Stergioulas, Georgios Th. Papadopoulos, Vassia Zacharopoulou, George J. Xydopoulos, Klimnis Atzakas, Dimitris Papazachariou, Petros Daras:
A Comprehensive Study on Sign Language Recognition Methods. - Mohammad Khosravi, Varsha Behrunani, Piotr Myszkorowski, Roy S. Smith, Alisa Rupenyan, John Lygeros:
Performance-Driven Cascade Controller Tuning with Bayesian Optimization. - Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool:
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference. - Bertelt Braaksma, Richard Scholtens, Stan van Suijlekom, Remy Wang, Ahmet Üstün:
FiSSA at SemEval-2020 Task 9: Fine-tuned For Feelings. - Pavel Trutman, Mohab Safey El Din, Didier Henrion, Tomás Pajdla:
Globally Optimal Solution to Inverse Kinematics of 7DOF Serial Manipulator. - Chaitanya Ahuja, Dong Won Lee, Yukiko I. Nakano, Louis-Philippe Morency:
Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach. - Gaspard Anthoine, Jean-Guillaume Dumas, Michael Hanling, Mélanie de Jonghe, Aude Maignan, Clément Pernet, Daniel S. Roche:
Dynamic proofs of retrievability with low server storage. - Ziyao Liu, Ivan Tjuawinata, Chaoping Xing, Kwok-Yan Lam:
MPC-enabled Privacy-Preserving Neural Network Training against Malicious Attack. - Teng Liu, Wenhao Tan, Xiaolin Tang, Jiaxin Chen, Dongpu Cao:
Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning. - Avishek Garain, Sainik Kumar Mahata, Dipankar Das:
JUNLP@SemEval-2020 Task 9: Sentiment Analysis of Hindi-English code mixed data. - Carola Figueroa Flores, Bogdan Raducanu, David Berga, Joost van de Weijer:
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains. - Kevin Trebing, Siamak Mehrkanoon:
Wind speed prediction using multidimensional convolutional neural networks. - Eitan Richardson, Yair Weiss:
The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation. - Jenny Copara, Nona Naderi, Julien Knafou, Patrick Ruch, Douglas Teodoro:
Named entity recognition in chemical patents using ensemble of contextual language models. - Simon Evain, Christine Guillemot:
A Lightweight Neural Network for Monocular View Generation with Occlusion Handling. - Daniel Russo, Paul H. P. Hanel, Seraphina Altnickel, Niels van Berkel:
Predictors of Well-being and Productivity among Software Professionals during the COVID-19 Pandemic - A Longitudinal Study. - Wouter Verbeke, Diego Olaya, Jeroen Berrevoets, Sebastián Maldonado:
The foundations of cost-sensitive causal classification. - Ignacio Gajardo, Felipe Besoain, Nicolas A. Barriga:
Introduction to Behavior Algorithms for Fighting Games. - Stefano Zorzi, Ksenia Bittner, Friedrich Fraundorfer:
Machine-learned Regularization and Polygonization of Building Segmentation Masks. - Yiming Zhang, Junguang Huang, Yong Yuan, Herbert A. Mang:
Direct dissipation-based arc-length approach for the cracking elements method. - Wenshuo Wang, Xiaoxiang Na, Dongpu Cao, Jianwei Gong, Junqiang Xi, Yang Xi, Fei-Yue Wang:
Decision-Making in Driver-Automation Shared Control: A Review and Perspectives. - Anup Anand Deshmukh, Udhav Sethi:
IR-BERT: Leveraging BERT for Semantic Search in Background Linking for News Articles. - Pietro Boccadoro, Domenico Striccoli, Luigi Alfredo Grieco:
Internet of Drones: a Survey on Communications, Technologies, Protocols, Architectures and Services. - Cedric Schockaert, Reinhard Leperlier, Assaad Moawad:
Attention Mechanism for Multivariate Time Series Recurrent Model Interpretability Applied to the Ironmaking Industry. - Dirk van der Hoeven:
Exploiting the Surrogate Gap in Online Multiclass Classification. - Junheum Park, Keunsoo Ko, Chul Lee, Chang-Su Kim:
BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation. - Haoyin Zhou, Jagadeesan Jayender:
Real-time Dense Reconstruction of Tissue Surface from Stereo Optical Video. - Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SummEval: Re-evaluating Summarization Evaluation. - Cameron Moy, Phuc C. Nguyen, Sam Tobin-Hochstadt, David Van Horn:
Corpse Reviver: Sound and Efficient Gradual Typing via Contract Verification. - Michael J. Kane, Simon Urbanek:
On the Programmatic Generation of Reproducible Documents. - Luiz Fernando Capretz, Shuib Basri, Maythem Adili, Aamir Amin:
What Malaysian Software Students Think about Testing? - Tajdar Jawaid:
Privacy vs National Security. - Manuel Bravo, Zsolt István, Man-Kit Sit:
Towards Improving the Performance of BFT Consensus For Future Permissioned Blockchains. - Fanfei Chen, John D. Martin, Yewei Huang, Jinkun Wang, Brendan J. Englot:
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs. - Kostas Kolomvatsos:
An Intelligent Scheme for Uncertainty Management of Data Synopses Management in Pervasive Computing Applications. - Javier T. Akagi, Eduardo A. Canale, Marcos Villagra:
Tromino Tilings with Pegs via Flow Networks. - Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey:
MurTree: Optimal Classification Trees via Dynamic Programming and Search. - Mahsa Derakhshan, David M. Pennock, Aleksandrs Slivkins:
Beating Greedy For Approximating Reserve Prices in Multi-Unit VCG Auctions. - Shuwen Qiu, Hangxin Liu, Zeyu Zhang, Yixin Zhu, Song-Chun Zhu:
Human-Robot Interaction in a Shared Augmented Reality Workspace. - Michael Segundo Ortiz:
Considerations for Eye Tracking Experiments in Information Retrieval. - S. M. Nahid Mahmud, Ryan Self, Katrine Hareland, Rushikesh Kamalapurkar:
A safety aware model based reinforcement learning framework for systems with uncertainties. - Deyvid Kochanov, Fatemeh Karimi Nejadasl, Olaf Booij:
KPRNet: Improving projection-based LiDAR semantic segmentation. - Benjamin W. Priest, Alec Michael Dunton, Geoffrey Sanders:
Scaling Graph Clustering with Distributed Sketches. - Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak:
Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings. - Tanweer Alam, Shamimul Qamar, Amit Dixit, Mohamed Benaida:
Genetic Algorithm: Reviews, Implementations, and Applications. - Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens:
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. - Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim:
MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation. - Abhinav Sagar, Rajkumar Soundrapandiyan:
Semantic Segmentation With Multi Scale Spatial Attention For Self Driving Cars. - Luning Fang, Dan Negrut:
Producing 3D Friction Loads by Tracking the Motion of the Contact Point on Bodies in Mutual Contact. - Ghassan Samara:
Intelligent Reputation System for Safety Messages in VANET. - Abinand Gopal, Per-Gunnar Martinsson:
An accelerated, high-order accurate direct solver for the Lippmann-Schwinger equation for acoustic scattering in the plane. - Harrie Oosterhuis, Maarten de Rijke:
Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking. - Xiaoxue Zang, Abhinav Rastogi, Srinivas Sunkara, Raghav Gupta, Jianguo Zhang, Jindong Chen:
MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines. - Thomas Bohnstingl, Stanislaw Wozniak, Wolfgang Maass, Angeliki Pantazi, Evangelos Eleftheriou:
Online spatio-temporal learning in deep neural networks. - Michael Ridenhour, Arunkumar Bagavathi, Elaheh Raisi, Siddharth Krishnan:
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models. - Raphael Fettaya, Yishay Mansour:
Detecting malicious PDF using CNN. - Colby Wise, Vassilis N. Ioannidis, Miguel Romero Calvo, Xiang Song, George Price, Ninad Kulkarni, Ryan Brand, Parminder Bhatia, George Karypis:
COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature. - Soroush Javdan, Taha Shangipour Ataei, Behrouz Minaei-Bidgoli:
IUST at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text using Deep Neural Networks and Linear Baselines. - Sarah Spall, Neil Mitchell, Sam Tobin-Hochstadt:
Build Scripts with Perfect Dependencies. - Matthias Sperber, Hendra Setiawan, Christian Gollan, Udhyakumar Nallasamy, Matthias Paulik:
Consistent Transcription and Translation of Speech. - Xuefeng Xu, Chen-Song Zhang:
Convergence analysis of inexact two-grid methods: A theoretical framework. - Sean Batir, Nicholas Humann, Carmel Ortiz, David Bettinger, Susanne Heger, Bennie Vorster:
Low Earth Orbit Satellites Provide Continuous Enterprise Data Connectivity. - Hong Xuan, Abby Stylianou, Xiaotong Liu, Robert Pless:
Hard negative examples are hard, but useful. - Michael Cogswell, Jiasen Lu, Rishabh Jain, Stefan Lee, Devi Parikh, Dhruv Batra:
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data. - Xuefeng Xu, Chen-Song Zhang:
Convergence analysis of inexact two-grid methods: Multigrid cycles. - Shun Cao, Hiroki Sayama:
Detecting Dynamic States of Temporal Networks Using Connection Series Tensors. - Temiloluwa Prioleau, Ashutosh Sabharwal, Madhuri M. Vasudevan:
Understanding Reflection Needs for Personal Health Data in Diabetes. - Tomasz Kociumaka, Barna Saha:
Sublinear-Time Algorithms for Computing & Embedding Gap Edit Distance. - David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio:
BabyAI 1.1. - Parthasarathy Suryanarayanan, Bhavani Iyer, Prithwish Chakraborty, Bibo Hao, Italo Buleje, Piyush Madan, James V. Codella, Antonio Foncubierta, Divya Pathak, Sarah Miller, Amol Rajmane, Shannon Harrer, Gigi Yuan-Reed, Daby Sow:
A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records. - Marissa Masden, Dev Sinha:
Linear discriminant initialization for feed-forward neural networks. - Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi:
Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks. - Sergio Botelho, Ameya Joshi, Biswajit Khara, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian:
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. - Andrew J. Sonta, Thomas R. Dougherty, Rishee K. Jain:
Data-driven optimization of building layouts for energy efficiency. - Matt Calder:
Client-side Active Measurements Without Application Control. - Leopoldo E. Bertossi:
Score-Based Explanations in Data Management and Machine Learning. - Lida Zhang, Nathan C. Hurley, Bassem Ibrahim, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi:
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks. - Xiaofeng Gao, Ran Gong, Yizhou Zhao, Shu Wang, Tianmin Shu, Song-Chun Zhu:
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks. - Stefan Spalevic, Petar Velickovic, Jovana J. Kovacevic, Mladen Nikolic:
Hierachial Protein Function Prediction with Tails-GNNs. - Minh Vo, Yaser Sheikh, Srinivasa G. Narasimhan:
Spatiotemporal Bundle Adjustment for Dynamic 3D Human Reconstruction in the Wild. - Stefan Schneider, Alex Zhuang:
Counting Fish and Dolphins in Sonar Images Using Deep Learning. - Alfonso Pierantonio, Benoît Combemale, Mark van den Brand:
Open Access all you wanted to know and never dared to ask. - Surbhi Goel, Adam R. Klivans, Frederic Koehler:
From Boltzmann Machines to Neural Networks and Back Again. - Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan, Ji-Rong Wen:
Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient. - Billy Jin, David P. Williamson:
Improved Analysis of RANKING for Online Vertex-Weighted Bipartite Matching. - Igor Q. Lordeiro, Douglas de O. Cardoso:
Multi-Armed Bandits for Minesweeper: Profiting from Exploration-Exploitation Synergy. - Shi-Xun Lin, Guo Zhong, Ting Shu:
Joint Featurewise Weighting and Lobal Structure Learning for Multi-view Subspace Clustering. - Yi Wang, Junhui Hou, Xinyu Hou, Lap-Pui Chau:
A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds. - Roberto B. Di Renna, Rodrigo C. de Lamare:
Iterative List Detection and Decoding for mMTC. - Md Mahfuzul Haque, Mohammad Yousuf, Ahmed Shatil Alam, Pratyasha Saha, Syed Ishtiaque Ahmed, Naeemul Hassan:
Combating Misinformation in Bangladesh: Roles and Responsibilities as Perceived by Journalists, Fact-checkers, and Users. - Jinho Choi:
On Fast Retrial for Two-Step Random Access in MTC. - Hailong Guo, Xu Yang, Yi Zhu:
Unfitted Nitsche's method for computing band structures in phononic crystals with impurities. - Shen Zhang, Fei Ye, Bingnan Wang, Thomas G. Habetler:
Few-Shot Bearing Anomaly Detection Based on Model-Agnostic Meta-Learning. - Yingying Xie, Shuhao Cao, Long Chen, Liuqiang Zhong:
Convergence and optimality of an adaptive modified weak Galerkin finite element method. - Yosuke Oyama, Naoya Maruyama, Nikoli Dryden, Erin McCarthy, Peter Harrington, Jan Balewski, Satoshi Matsuoka, Peter Nugent, Brian Van Essen:
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism. - Kostas Kolomvatsos, Christos Anagnostopoulos:
Proactive Tasks Management based on a Deep Learning Model. - Di Qiu, Lok Ming Lui:
Modal Uncertainty Estimation via Discrete Latent Representation. - José David Vega Sánchez, Pablo Ramirez-Espinosa, Francisco Javier López-Martínez:
Physical Layer Security of Large Reflecting Surface Aided Communications with Phase Errors. - Panagiotis Fountas, Kostas Kolomvatsos:
A Data Imputation Model based on an Ensemble Scheme. - Jiaming Zhang, Jitao Sang, Xian Zhao, Xiaowen Huang, Yanfeng Sun, Yongli Hu:
Adversarial Privacy-preserving Filter. - Neri Merhav:
Universal Decoding for Asynchronous Slepian-Wolf Encoding. - Jingqiao Zhao, Zhenhua Feng, Qiuqiang Kong, Xiaoning Song, Xiao-Jun Wu:
DD-CNN: Depthwise Disout Convolutional Neural Network for Low-complexity Acoustic Scene Classification. - Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi Kang, Evan Ettinger:
Self-supervised Learning for Deep Models in Recommendations. - Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Sai Bi, Zexiang Xu, Hong-Xing Yu, Kalyan Sunkavalli, Milos Hasan, Ravi Ramamoorthi, Manmohan Chandraker:
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets. - Zhaoyu Pan, Takanori Emaru, Ankit A. Ravankar, Yukinori Kobayashi:
Applying Semantic Segmentation to Autonomous Cars in the Snowy Environment. - Sergey V. Kovalchuk, Georgy D. Kopanitsa, Ilya V. Derevitskii, Daria A. Savitskaya:
Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability. - Stefanos Leonardos, Iosif Sakos, Costas Courcoubetis, Georgios Piliouras:
Catastrophe by Design in Population Games: Destabilizing Wasteful Locked-in Technologies. - Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, Tam V. Nguyen:
MirrorNet: Bio-Inspired Adversarial Attack for Camouflaged Object Segmentation. - Junming Duan, Huazhong Tang:
Entropy stable adaptive moving mesh schemes for 2D and 3D special relativistic hydrodynamics. - Xinqi Zhu, Chang Xu, Dacheng Tao:
Learning Disentangled Representations with Latent Variation Predictability. - Xinqi Zhu, Chang Xu, Langwen Hui, Cewu Lu, Dacheng Tao:
Approximated Bilinear Modules for Temporal Modeling. - Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang, Hyung Yong Kim, Nam Soo Kim:
Robust Front-End for Multi-Channel ASR using Flow-Based Density Estimation. - Zehong Cao, Kaichiu Wong, Chin-Teng Lin:
Human Preference Scaling with Demonstrations For Deep Reinforcement Learning. - Bruno Chianca Ferreira, Vitor Fonte, João Marco C. Silva:
EAGP: An Energy-Aware Gossip Protocol for Wireless Sensor Networks. - Mauro Barni, Kassem Kallas, Ehsan Nowroozi, Benedetta Tondi:
CNN Detection of GAN-Generated Face Images based on Cross-Band Co-occurrences Analysis. - María Pérez-Ortiz, Omar Rivasplata, John Shawe-Taylor, Csaba Szepesvári:
Tighter risk certificates for neural networks. - Ilya Dimov, Vladislav Korzun, Ivan Smurov:
NoPropaganda at SemEval-2020 Task 11: A Borrowed Approach to Sequence Tagging and Text Classification. - Naman Jain, Ankush Chauhan, Atharva Chewale, Ojas Mithbavkar, Ujjaval Shah, Mayank Singh:
Bollyrics: Automatic Lyrics Generator for Romanised Hindi. - Luca Bonaventura, José Garres-Díaz:
Flexible and efficient discretizations of multilayer models with variable density. - Hemang Chawla, Matti Jukola, Terence Brouns, Elahe Arani, Bahram Zonooz:
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning Approach. - Omri Shmueli:
Multi-theorem (Malicious) Designated-Verifier NIZK for QMA. - João Sacramento, Johannes von Oswald, Seijin Kobayashi, Christian Henning, Benjamin F. Grewe:
Economical ensembles with hypernetworks. - Hongying Liu, Zhubo Ruan, Peng Zhao, Fanhua Shang, Linlin Yang, Yuanyuan Liu:
Video Super Resolution Based on Deep Learning: A comprehensive survey. - Bekir Bayrak, Florian Giger, Christian Meurisch:
Insightful Assistant: AI-compatible Operation Graph Representations for Enhancing Industrial Conversational Agents. - Rahul Meshram, Kesav Kaza:
Simulation Based Algorithms for Markov Decision Processes and Multi-Action Restless Bandits. - Anshul Aggarwal, Trevor E. Carlson, Reza Shokri, Shruti Tople:
SOTERIA: In Search of Efficient Neural Networks for Private Inference. - Aleksander Mendoza-Drosik:
Multitape automata and finite state transducers with lexicographic weights. - Peng Su, Shixiang Tang, Peng Gao, Di Qiu, Ni Zhao, Xiaogang Wang:
Gradient Regularized Contrastive Learning for Continual Domain Adaptation. - Rinon Gal, Amit Bermano, Hao Zhang, Daniel Cohen-Or:
MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part Disentanglement. - Ted Pedersen:
Duluth at SemEval-2020 Task 12: Offensive Tweet Identification in English with Logistic Regression. - Ted Pedersen:
Duluth at SemEval-2019 Task 6: Lexical Approaches to Identify and Categorize Offensive Tweets. - Valerio Ortenzi, Akansel Cosgun, Tommaso Pardi, Wesley P. Chan, Elizabeth A. Croft, Dana Kulic:
Object Handovers: a Review for Robotics. - Gayathri R. Prabhu, Srikrishna Bhashyam, Aditya Gopalan, Rajesh Sundaresan:
Sequential Multi-hypothesis Testing in Multi-armed Bandit Problems: An Approach for Asymptotic Optimality. - Ahmed Abbasi, David G. Dobolyi, Richard G. Netemeyer:
Constructing a Testbed for Psychometric Natural Language Processing. - Lingjing Wang, Xiang Li, Yi Fang:
GP-Aligner: Unsupervised Non-rigid Groupwise Point Set Registration Based On Optimized Group Latent Descriptor. - James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Ben Carterette:
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. - Gian Pietro Farina, Stephen Chong, Marco Gaboardi:
Coupled Relational Symbolic Execution for Differential Privacy. - Thayer Alshaabi, Jane Lydia Adams, Michael V. Arnold, Joshua R. Minot, David Rushing Dewhurst, Andrew J. Reagan, Christopher M. Danforth, Peter Sheridan Dodds:
Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter. - Shawn C. Eastwood, Svetlana N. Yanushkevich:
Information Fusion on Belief Networks. - Ashis Sau, Ruddra Dev Roychoudhury, Hrishav Bakul Barua, Chayan Sarkar, Sayan Paul, Brojeshwar Bhowmick, Arpan Pal, Balamuralidhar Purushothaman:
Demo: Edge-centric Telepresence Avatar Robot for Geographically Distributed Environment. - Sahithi Ankireddy:
A Novel Approach to the Diagnosis of Heart Disease using Machine Learning and Deep Neural Networks. - Zhenlin Xu, Deyi Liu, Junlin Yang, Marc Niethammer:
Robust and Generalizable Visual Representation Learning via Random Convolutions. - Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang:
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs. - Daniel Kang, Ankit Mathur, Teja Veeramacheneni, Peter Bailis, Matei Zaharia:
Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics. - Eddie Huang, Sahil Gupta:
Style is a Distribution of Features. - Gang Bao, Xue Jiang, Peijun Li, Xiaokai Yuan:
An adaptive finite element DtN method for the elastic wave scattering by biperiodic structures. - Aaqib Saeed, Flora D. Salim, Tanir Özçelebi, Johan Lukkien:
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence. - Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke:
Feedback Loop and Bias Amplification in Recommender Systems. - Rahul Singh, Fang Liu, Ness B. Shroff:
A Partially Observable MDP Approach for Sequential Testing for Infectious Diseases such as COVID-19. - Jeffy Jahfar Poozhithara, Hazeline U. Asuncion, Brent Lagesse:
Automated Query Generation for Design Pattern Mining in Source Code. - Manar D. Samad, Nalin D. Khounviengxay, Megan A. Witherow:
Effect of Text Processing Steps on Twitter Sentiment Classification using Word Embedding. - Vidhya Tekken Valapil, Sandeep S. Kulkarni, Eric Torng, Gabe Appleton:
Efficient Two-Layered Monitor for Partially Synchronous Distributed Systems (Technical Report). - Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai:
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. - Huaxiu Yao, Longkai Huang, Ying Wei, Li Tian, Junzhou Huang, Zhenhui Li:
Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning. - Akwarandu Ugo Nwachuku, Xavier-Lewis Palmer, Darlington Ahiale Akogo:
A Preliminary Exploration into an Alternative CellLineNet: An Evolutionary Approach. - Tugce Akkoc, Emre Ugur, Inci Ayhan:
Trick the Body Trick the Mind: Avatar representation affects the perception of available action possibilities in Virtual Reality. - Rui Xiang, Rongjie Lai, Hongkai Zhao:
A Dual Iterative Refinement Method for Non-rigid Shape Matching. - James Melbourne, Govind Saraswat, Vivek Khatana, Sourav Patel, Murti V. Salapaka:
Convex Decreasing Algorithms: Distributed Synthesis and Finite-time Termination in Higher Dimension. - Yanhong A. Liu, Scott D. Stoller:
Recursive Rules with Aggregation: A Simple Unified Semantics. - Yuben Qu, Chao Dong, Jianchao Zheng, Qihui Wu, Yun Shen, Fan Wu, Alagan Anpalagan:
Empowering the Edge Intelligence by Air-Ground Integrated Federated Learning in 6G Networks. - Zijing Gu:
Optimizing Block-Sparse Matrix Multiplications on CUDA with TVM. - Praveen Chandrashekar, Rakesh Kumar:
Constraint preserving discontinuous Galerkin method for ideal compressible MHD on 2-D Cartesian grids. - Jia Su, Yi Guan, Yuge Li, Weile Chen, He Lv, Yageng Yan:
Do recommender systems function in the health domain: a system review. - Vinay Gopalan, Mark Hopkins:
Reed at SemEval-2020 Task 9: Sentiment Analysis on Code-Mixed Tweets. - Wei Jing, Di Deng, Yan Wu, Kenji Shimada:
Multi-UAV Coverage Path Planning for the Inspection of Large and Complex Structures. - Jie Xu, Yazhou Ren, Guofeng Li, Lili Pan, Ce Zhu, Zenglin Xu:
Deep Embedded Multi-view Clustering with Collaborative Training. - Bin Fu, Yunqi Qiu, Chengguang Tang, Yang Li, Haiyang Yu, Jian Sun:
A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges. - (Withdrawn) Approaches of large-scale images recognition with more than 50, 000 categoris.
- Kai Zhou, Yevgeniy Vorobeychik:
Robust Collective Classification against Structural Attacks. - Yoritaka Iwata, Yasuhiro Takei:
Numerical scheme based on the spectral method for calculating nonlinear hyperbolic evolution equations. - Hossein Yazdani:
Bounded Fuzzy Possibilistic Method of Critical Objects Processing in Machine Learning. - Sriram N. N, Buyu Liu, Francesco Pittaluga, Manmohan Chandraker:
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction. - Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash:
Anonymizing Machine Learning Models. - Amit Livne, Roy Dor, Eyal Mazuz, Tamar Didi, Bracha Shapira, Lior Rokach:
Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate. - Anna Maria Feit, Lukas Vordemann, Seonwook Park, Caterina Bérubé, Otmar Hilliges:
Detecting Relevance during Decision-Making from Eye Movements for UI Adaptation. - Chenjie Wang, Chengyuan Li, Bin Luo:
U2-ONet: A Two-level Nested Octave U-structure with Multiscale Attention Mechanism for Moving Instances Segmentation. - Hongtao Yang, Tong Zhang, Wenbing Huang, Xuming He, Fatih Porikli:
Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation. - Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
Regularized Flexible Activation Function Combinations for Deep Neural Networks. - Sohaib Younis, Marco Schmidt, Claus Weiland, Stefan Dressler, Bernhard Seeger, Thomas Hickler:
Detection and Annotation of Plant Organs from Digitized Herbarium Scans using Deep Learning. - Fadhil Firyaguna, Andrea Bonfante, Jacek Kibilda, Nicola Marchetti:
Performance Evaluation of Scheduling in 5G-mmWave Networks under Human Blockage. - Jos Craaijo:
IdSan: An identity-based memory sanitizer for fuzzing binaries. - Pavithren V. S. Pakianathan, Simon T. Perrault:
Towards Inclusive Design for Privacy and Security Perspectives from an Aging Society. - Chubin Zhuang, Zhen Lei, Stan Z. Li:
SADet: Learning An Efficient and Accurate Pedestrian Detector. - Seonwook Park, Emre Aksan, Xucong Zhang, Otmar Hilliges:
Towards End-to-end Video-based Eye-Tracking. - Danny Segev, Sahil Singla:
Efficient Approximation Schemes for Stochastic Probing and Prophet Problems. - Lei Ke, Shichao Li, Yanan Sun, Yu-Wing Tai, Chi-Keung Tang:
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision. - Shuonan Wu, Zhi Zhou:
Parallel-in-time high-order BDF schemes for diffusion and subdiffusion equations. - Rustam Tagiew:
What Government by Algorithm Might Look Like. - Kijung Kim:
The Italian domination numbers of some products of digraphs. - Ali Ghadirzadeh, Petra Poklukar, Ville Kyrki, Danica Kragic, Mårten Björkman:
Data-efficient visuomotor policy training using reinforcement learning and generative models. - Lei Shi, Kai Shuang, Shijie Geng, Peng Su, Zhengkai Jiang, Peng Gao, Zuohui Fu, Gerard de Melo, Sen Su:
Contrastive Visual-Linguistic Pretraining. - Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor:
Fast-Convergent Federated Learning. - Abhijit Kundu, Xiaoqi Yin, Alireza Fathi, David A. Ross, Brian Brewington, Thomas A. Funkhouser, Caroline Pantofaru:
Virtual Multi-view Fusion for 3D Semantic Segmentation. - Chenglong Li, Lei Liu, Andong Lu, Qing Ji, Jin Tang:
Challenge-Aware RGBT Tracking. - Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong:
Deep Photometric Stereo for Non-Lambertian Surfaces. - Vitaly Petrov, Margarita Gapeyenko, Dmitri Moltchanov, Sergey Andreev, Robert W. Heath Jr.:
Hover or Perch: Comparing Capacity of Airborne and Landed Millimeter-Wave UAV Cells. - Yaohui Guo, X. Jessie Yang:
Modeling and Predicting Trust Dynamics in Human-Robot Teaming: A Bayesian Inference Approach. - Jannik Michelfeit:
multivar_horner: a python package for computing Horner factorisations of multivariate polynomials. - Jan S. Hesthaven, Cecilia Pagliantini, Nicolò Ripamonti:
Rank-adaptive structure-preserving reduced basis methods for Hamiltonian systems. - Alejandro Pasos Ruiz, Michael Flynn, Anthony J. Bagnall:
Benchmarking Multivariate Time Series Classification Algorithms. - Fadil Habibi Danufane, Marco Di Renzo, Julien de Rosny, Sergei A. Tretyakov:
On the Path-Loss of Reconfigurable Intelligent Surfaces: An Approach Based on Green's Theorem Applied to Vector Fields. - Aayush Surana, Yash Goyal, Manish Shrivastava, Suvi Saarikallio, Vinoo Alluri:
Tag2Risk: Harnessing Social Music Tags for Characterizing Depression Risk. - Seung-Yeon Cho, Sebastiano Boscarino, Giovanni Russo, Seok-Bae Yun:
Conservative semi-Lagrangian schemes for kinetic equations Part II: Applications. - Seung-Yeon Cho, Sebastiano Boscarino, Giovanni Russo, Seok-Bae Yun:
Conservative semi-Lagrangian schemes for kinetic equations Part I: Reconstruction. - Luca Maria Aiello, Daniele Quercia, Ke Zhou, Marios Constantinides, Sanja Scepanovic, Sagar Joglekar:
How Epidemic Psychology Works on Social Media: Evolution of responses to the COVID-19 pandemic. - Elizabeth Newman, Lars Ruthotto, Joseph L. Hart, Bart G. van Bloemen Waanders:
Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection. - Giorgos Tolias, Tomás Jenícek, Ondrej Chum:
Learning and aggregating deep local descriptors for instance-level recognition. - Atsuki Momose, Ling Ren:
Optimal Communication Complexity of Byzantine Consensus under Honest Majority. - Nikhil Balaji, Sylvain Perifel, Mahsa Shirmohammadi, James Worrell:
Cyclotomic Identity Testing and Applications. - Andrea Bisoffi, Claudio De Persis, Pietro Tesi:
Controller design for robust invariance from noisy data. - Molla Rashied Hussein, Abdullah Bin Shams, Ehsanul Hoque Apu, Khondaker Abdullah Al Mamun, Mohammad Shahriar Rahman:
Digital Surveillance Systems for Tracing COVID-19: Privacy and Security Challenges with Recommendations. - Ali Safaya, Moutasem Abdullatif, Deniz Yuret:
KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media. - Neophytos Charalambides:
Dimensionality Reduction for k-means Clustering. - Limeng Dong, Sergey Loyka, Yong Li:
Algorithms for Globally-Optimal Secure Signaling over Gaussian MIMO Wiretap Channels Under Interference Constraints. - Swapna Joshi, Kostas Stavrianakis, Sanchari Das:
Substituting Restorative Benefits of Being Outdoors through Interactive Augmented Spatial Soundscapes. - Gali Noti, Vasilis Syrgkanis:
Bid Prediction in Repeated Auctions with Learning. - Michael S. Floater, Carla Manni, Espen Sande, Hendrik Speleers:
Best low-rank approximations and Kolmogorov n-widths. - Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Paolo Morettin, Stefano Teso, Andrea Passerini:
Efficient Generation of Structured Objects with Constrained Adversarial Networks. - Yahya Hassanzadeh-Nazarabadi, Ali Utkan Sahin, Öznur Özkasap, Alptekin Küpçü:
SkipSim: Scalable Skip Graph Simulator. - Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. - Yahya Hassanzadeh-Nazarabadi, Nazir Nayal, Shadi Sameh Hamdan, Öznur Özkasap, Alptekin Küpçü:
A containerized proof-of-concept implementation of LightChain system. - Yikun Xian, Zuohui Fu, Qiaoying Huang, S. Muthukrishnan, Yongfeng Zhang:
Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendation. - Sanaz Taheri Boshrooyeh, Ali Utkan Sahin, Yahya Hassanzadeh-Nazarabadi, Öznur Özkasap:
Demo: A Proof-of-Concept Implementation of Guard Secure Routing Protocol. - Weifeng Chen, Shengyi Qian, David Fan, Noriyuki Kojima, Max Hamilton, Jia Deng:
OASIS: A Large-Scale Dataset for Single Image 3D in the Wild. - Cong Xie, Shuai Zheng, Oluwasanmi Koyejo, Indranil Gupta, Mu Li, Haibin Lin:
CSER: Communication-efficient SGD with Error Reset. - Reza Moosavi, Saeedeh Parsaeefard, Mohammad Ali Maddah-Ali, Vahid Shah-Mansouri, Babak Hossein Khalaj, Mehdi Bennis:
Energy Efficiency Through Joint Routing and Function Placement in Different Modes of SDN/NFV Networks. - Najla Al-Taleb, Nazar Abbas Saqib, Atta-ur-Rahman, Sujata Dash:
Cyber Threat Intelligence for Secure Smart City. - Tim Roughgarden:
Resource Augmentation. - Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. - Aravind Ashok Nair, Avijit Roy, Karl Meinke:
funcGNN: A Graph Neural Network Approach to Program Similarity. - Tim Roughgarden:
Distributional Analysis. - Tim Roughgarden:
Beyond the Worst-Case Analysis of Algorithms (Introduction). - Renkun Ni, Hong-Min Chu, Oscar Castañeda, Ping-yeh Chiang, Christoph Studer, Tom Goldstein:
WrapNet: Neural Net Inference with Ultra-Low-Resolution Arithmetic. - Peixian Chen, Pingyang Dai, Jianzhuang Liu, Feng Zheng, Qi Tian, Rongrong Ji:
Dual Distribution Alignment Network for Generalizable Person Re-Identification. - Yichen Zhang, Jianzhe Liu, Feng Qiu, Tianqi Hong, Rui Yao:
Deep Active Learning for Solvability Prediction in Power Systems. - Bas Peters:
Point-to-set distance functions for weakly supervised segmentation. - Yara Rizk, Vatche Isahagian, Scott Boag, Yasaman Khazaeni, Merve Unuvar, Vinod Muthusamy, Rania Khalaf:
A Conversational Digital Assistant for Intelligent Process Automation. - Tathagata Chakraborti, Vatche Isahagian, Rania Khalaf, Yasaman Khazaeni, Vinod Muthusamy, Yara Rizk, Merve Unuvar:
From Robotic Process Automation to Intelligent Process Automation: Emerging Trends. - Christopher M. Baker, Patricia T. Campbell, Iadine Chades, Angela J. Dean, Susan M. Hester, Matthew H. Holden, James M. McCaw, Jodie McVernon, Robert G. Moss, Freya M. Shearer, Hugh P. Possingham:
From climate change to pandemics: decision science can help scientists have impact. - Siwen Luo, Soyeon Caren Han, Kaiyuan Sun, Josiah Poon:
REXUP: I REason, I EXtract, I UPdate with Structured Compositional Reasoning for Visual Question Answering. - Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Rongrong Ji:
Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation. - Luoyi Fu, Dongrui Lu, Qi Li, Xinbing Wang, Chenghu Zhou:
Can We 'Feel' the Temperature of Knowledge? Modelling Scientific Popularity Dynamics via Thermodynamics. - Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Linda Bushnell, Radha Poovendran:
Privacy-Preserving Resilience of Cyber-Physical Systems to Adversaries. - Xiaomeng Wang, Yijun Ran, Tao Jia:
Measuring similarity in co-occurrence data using ego-networks. - R. Devon Hjelm, Philip Bachman:
Representation Learning with Video Deep InfoMax. - Pan Li, Alexander Tuzhilin:
Latent Unexpected Recommendations. - Ke Wang, Gang Li, Junlan Chen, Yan Long, Tao Chen, Long Chen, Qin Xia:
The Adaptability and Challenges of Autonomous Vehicles to Pedestrians in Urban China. - Wei Zhang, Zuoxiang Zeng:
Research Progress of Convolutional Neural Network and its Application in Object Detection. - Zahra Nazari, Christophe Charbuillet, Johan Pages, Martin Laurent, Denis Charrier, Briana Vecchione, Ben Carterette:
Recommending Podcasts for Cold-Start Users Based on Music Listening and Taste. - Stefan Steinerberger:
Stochastic Gradient Descent applied to Least Squares regularizes in Sobolev spaces. - Haitao Xiang, Zhijie Ren, Ziheng Zhou, Ning Wang, Hanqing Jin:
AlphaBlock: An Evaluation Framework for Blockchain Consensus Protocols. - Buyang Li, Weifeng Qiu:
A convergent post-processed discontinuous Galerkin method for incompressible flow with variable density. - Liang Yang, Yin Yang, Daniel Benevides da Costa, Imene Trigui:
Outage Probability and Capacity Scaling Law of Multiple RIS-Aided Cooperative Networks. - Andrew W. Stephan, Brian Gardner, Steven J. Koester, André Grüning:
Supervised Learning in Temporally-Coded Spiking Neural Networks with Approximate Backpropagation. - Chandra Thapa, Jun Wen Tang, Sharif Abuadbba, Yansong Gao, Yifeng Zheng, Seyit Ahmet Çamtepe, Surya Nepal, Mahathir Almashor:
FedEmail: Performance Measurement of Privacy-friendly Phishing Detection Enabled by Federated Learning. - Luyang Zhu, Konstantinos Rematas, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman:
Reconstructing NBA Players. - Anupam Kumar Bairagi, Mehedi Masud, DoHyeon Kim, Md. Shirajum Munir, Abdullah Al Nahid, Sarder Fakhrul Abedin, Kazi Masudul Alam, Sujit Biswas, Sultan S. Alshamrani, Zhu Han, Choong Seon Hong:
Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective. - Serena Y. Kim, Koushik Ganesan, Princess Dickens, Soumya Panda:
Public Sentiment Toward Solar Energy: Opinion Mining of Twitter Using a Transformer-Based Language Model. - Xubo Zhao, Xiaoping Li, Qiang Wang, Tongjiang Yan:
Hermitian dual-containing constacyclic BCH codes and related quantum codes of length (q2m-1)/(q+1). - Haohang Xu, Hongkai Xiong, Guo-Jun Qi:
K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations. - Yoshitomo Matsubara, Marco Levorato:
Split Computing for Complex Object Detectors: Challenges and Preliminary Results. - Zhi Chen, Sen Wang, Jingjing Li, Zi Huang:
Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches. - Ye Bi, Liqiang Song, Mengqiu Yao, Zhenyu Wu, Jianming Wang, Jing Xiao:
DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain. - Wei Jiang, Jie Liu:
Three Numerical Eigensolvers for 3-D Cavity Resonators Filled With Anisotropic and Nonconductive Media. - Sauptik Dhar, Unmesh Kurup, Mohak Shah:
Stabilizing Bi-Level Hyperparameter Optimization using Moreau-Yosida Regularization. - Nan Zhuang, Cheng Yang:
Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation. - Qiaosheng Eric Zhang, Vincent Y. F. Tan:
Covert Identification over Binary-Input Memoryless Channels. - Hamada A. Nayel:
NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic Offensive Language Detection in Arabic Tweets. - Jinxian Liu, Minghui Yu, Bingbing Ni, Ye Chen:
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds. - Devraj Basu, Murdoch Gabbay:
Karl Marx and the Blockchain. - Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Algorithm Configurations of MOEA/D with an Unbounded External Archive. - Masashi Fukuhara, Kazuhiko Fujiwara, Yoshihiro Maruyama, Hiroyasu Itoh:
Feature visualization of Raman spectrum analysis with deep convolutional neural network. - Jake Pennington, Patrick Kreitzberg, Kyle Lucke, Oliver Serang:
Optimal construction of a layer-ordered heap. - Thomas Pierrot, Nicolas Perrin, Feryal M. P. Behbahani, Alexandre Laterre, Olivier Sigaud, Karim Beguir, Nando de Freitas:
Learning Compositional Neural Programs for Continuous Control. - Lia Morra, Fabrizio Lamberti, Filippo Gabriele Pratticò, Salvatore La Rosa, Paolo Montuschi:
Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design. - Dinislam Abdulgalimov, Timur Osadchiy:
Our House is Our Glassy Castle: Challenges of Pervasive Computing in Private Spaces. - Jaeseok Choi, Yeji Song, Nojun Kwak:
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud. - Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Decomposed Generation Networks with Structure Prediction for Recipe Generation from Food Images. - Penghao Zhou, Chong Zhou, Pai Peng, Junlong Du, Xing Sun, Xiaowei Guo, Feiyue Huang:
NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination. - Alexander Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen Shankar Nagaraja, Christian Unger, Walter Stechele:
ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks. - Yifan Xu, Tianqi Fan, Yi Yuan, Gurprit Singh:
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry. - Christos Kyrkou:
YOLOpeds: Efficient Real-Time Single-Shot Pedestrian Detection for Smart Camera Applications. - Weihua Liu, Xiabi Liu, Murong Wang, Ling Ma:
Contraction Mapping of Feature Norms for Classifier Learning on the Data with Different Quality. - Christopher Kelly, Nikolaos Pitropakis, Sean McKeown, Costas Lambrinoudakis:
Testing And Hardening IoT Devices Against the Mirai Botnet. - Dimitrios S. Lampropoulos, George C. Bourantas, Benjamin F. Zwick, G. C. Kagadis, Adam Wittek, Karol Miller, Vassilios C. Loukopoulos:
Intracranial hemodynamics simulations: An efficient and accurate immersed boundary scheme. - Vijay Pandey:
Binary Search and First Order Gradient Based Method for Stochastic Optimization. - Nupur Aggarwal, Abhishek Bansal, Kushagra Manglik, Kedar Kulkarni, Vikas Raykar:
Hyper-local sustainable assortment planning. - Lin Cong, Michael Görner, Philipp Ruppel, Hongzhuo Liang, Norman Hendrich, Jianwei Zhang:
Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation. - Arthur-Jozsef Molnar, Simona Motogna:
Long-Term Evaluation of Technical Debt in Open-Source Software. - Dongbao Yang, Yu Zhou, Dayan Wu, Can Ma, Fei Yang, Weiping Wang:
Two-Level Residual Distillation based Triple Network for Incremental Object Detection. - Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. - Pietro Boccadoro, Daniele Vitanio, Pietro Di Gennaro, Domenico Lofù, Pietro Tedeschi:
Water Quality Prediction on a Sigfox-compliant IoT Device: The Road Ahead of WaterS. - Mikhail Fain, Andrey Ponikar, Nadine Sarraf, Niall Twomey:
Towards Multi-Language Recipe Personalisation and Recommendation. - Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Emilie Kaufmann, Edouard Leurent, Michal Valko:
Fast active learning for pure exploration in reinforcement learning. - Fares Meghdouri, Maximilian Bachl, Tanja Zseby:
EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion Detection. - Yuxin Lu, Wai Ho Mow:
Detection and Performance Analysis for Non-Coherent DF Relay Networks with Optimized Generalized Differential Modulation. - Martin Nischwitz, Marko Esche, Florian Tschorsch:
Bernoulli Meets PBFT: Modeling BFT Performance in the Presence of Dynamic Failures. - Sofya Vorotnikova:
Improved 3-pass Algorithm for Counting 4-cycles in Arbitrary Order Streaming. - Kuan Zhu, Haiyun Guo, Zhiwei Liu, Ming Tang, Jinqiao Wang:
Identity-Guided Human Semantic Parsing for Person Re-Identification. - Maxime Crochemore, Costas S. Iliopoulos, Jakub Radoszewski, Wojciech Rytter, Juliusz Straszynski, Tomasz Walen, Wiktor Zuba:
Internal Quasiperiod Queries. - Mathieu Lirzin, Béatrice Markhoff:
Towards an ontology of HTTP interactions. - Mona Nasr, Omar Farouk, Ahmed Mohamedeen, Ali Elrafie, Marwan Bedeir, Ali Khaled:
Benchmarking Meta-heuristic Optimization. - Sean Kross, Jeffrey T. Leek, John Muschelli:
Ari: The Automated R Instructor. - Daniel Gutierrez-Rojas, Pedro H. J. Nardelli, Goncalo Mendes, Petar Popovski:
Review of the State-of-the-Art on Adaptive Protection for Microgrids based on Communications. - Ahmed M. Alaa, Mihaela van der Schaar:
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions. - Levent Sagun, Çaglar Gülçehre, Adriana Romero, Negar Rostamzadeh, Stefano Sarao Mannelli:
Post-Workshop Report on Science meets Engineering in Deep Learning, NeurIPS 2019, Vancouver. - Zhenshan Bing, Matthias Brucker, Fabrice O. Morin, Kai Huang, Alois C. Knoll:
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation. - Shadman Sakib, Md. Abu Bakr Siddique, Md. Abdur Rahman:
Performance Evaluation of t-SNE and MDS Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers. - Saavan Patel, Philip Canoza, Sayeef S. Salahuddin:
Logically Synthesized, Hardware-Accelerated, Restricted Boltzmann Machines for Combinatorial Optimization and Integer Factorization. - Arezou Abyaneh, Vanessa Fakhoury, Nizar Zorba:
Automatic Parking in Smart Cities. - Daniel Buades Marcos, Soumaya Yacout, Saïd Berriah:
Self-Supervised Encoder for Fault Prediction in Electrochemical Cells. - Godfred Yaw Koi-Akrofi:
IT Project Showstopper : The view of practitioners. - Yuxin Lu, Peng Cheng, Zhuo Chen, Wai Ho Mow, Yonghui Li, Branka Vucetic:
Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles. - Michael Widrich, Bernhard Schäfl, Hubert Ramsauer, Milena Pavlovic, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer:
Modern Hopfield Networks and Attention for Immune Repertoire Classification. - Adrien Morisot:
Add a SideNet to your MainNet. - Franco Dassi, Alessio Fumagalli, Davide Losapio, Stefano Scialò, Anna Scotti, Giuseppe Vacca:
The Mixed Virtual Element Method on curved edges in two dimensions. - Mahesh Chandra:
Hardware Implementation of Hyperbolic Tangent Function using Catmull-Rom Spline Interpolation. - Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr:
FedML: A Research Library and Benchmark for Federated Machine Learning. - Mario Zanon:
A Gauss-Newton-Like Hessian Approximation for Economic NMPC. - Jagriti Jalal, Mayank Singh, Arindam Pal, Lipika Dey, Animesh Mukherjee:
Identification, Tracking and Impact: Understanding the trade secret of catchphrases. - Naser Damer, Jonas Henry Grebe, Cong Chen, Fadi Boutros, Florian Kirchbuchner, Arjan Kuijper:
The Effect of Wearing a Mask on Face Recognition Performance: an Exploratory Study. - Ruichao Xiao, Rose Yu:
Dynamic Relational Inference in Multi-Agent Trajectories. - Lelin Zhang, Xi Nan, Eva Huang, Sidong Liu:
Detecting Transaction-based Tax Evasion Activities on Social Media Platforms Using Multi-modal Deep Neural Networks. - Simon Foster, Kangfeng Ye, Ana Cavalcanti, Jim Woodcock:
Automated Verification of Reactive and Concurrent Programs by Calculation. - Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar:
Batch Inverse Reinforcement Learning Using Counterfactuals for Understanding Decision Making. - Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin:
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. - Longbing Cao:
Coupling Learning of Complex Interactions. - T. Deepika, G. Karpaga Kannan:
A Novel adaptive optimization of Dual-Tree Complex Wavelet Transform for Medical Image Fusion. - Vicente Gómez, Carlos Pérez-Arancibia:
On the regularization of Cauchy-type integral operators via the density interpolation method and applications. - Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong:
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games. - Xuelian Bao, Hui Zhang:
Numerical approximations and error analysis of the Cahn-Hilliard equation with reaction rate dependent dynamic boundary conditions. - Changsheng Li, Chong Liu, Lixin Duan, Peng Gao, Kai Zheng:
Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification. - Shitong Luo, Wei Hu:
Differentiable Manifold Reconstruction for Point Cloud Denoising. - Markus Götz, Daniel Coquelin, Charlotte Debus, Kai Krajsek, Claudia Comito, Philipp Knechtges, Björn Hagemeier, Michael Tarnawa, Simon Hanselmann, Martin Siggel, Achim Basermann, Achim Streit:
HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics. - Changhee Han, Leonardo Rundo, Kohei Murao, Tomoyuki Noguchi, Yuki Shimahara, Zoltán Ádám Milacski, Saori Koshino, Evis Sala, Hideki Nakayama, Shin'ichi Satoh:
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction. - Mohammad Vahid Jamali, Hessam Mahdavifar:
Covert Millimeter-Wave Communication: Design Strategies and Performance Analysis. - Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati:
High order, semi-implicit, energy stable schemes for gradient flows. - Anmin Fu, Xianglong Zhang, Naixue Xiong, Yansong Gao, Huaqun Wang:
VFL: A Verifiable Federated Learning with Privacy-Preserving for Big Data in Industrial IoT. - Andra Lutu, Marcelo Bagnulo, Diego Perino:
DICE: Dynamic Interconnections for the Cellular Ecosystem. - Jorge Melegati, Xiaofeng Wang:
Case Survey Studies in Software Engineering Research. - Silvia Butti, Victor Dalmau:
The Complexity of the Distributed Constraint Satisfaction Problem. - Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao:
SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. - Sandeep Kumar, Madhu N. Belur:
Interlacing properties of system-poles, system-zeros and spectral-zeros in MIMO systems. - Ilya Kostrikov, Ofir Nachum:
Statistical Bootstrapping for Uncertainty Estimation in Off-Policy Evaluation. - Sander Borst, Leo van Iersel, Mark Jones, Steven Kelk:
New FPT algorithms for finding the temporal hybridization number for sets of phylogenetic trees. - Tomaz Stepisnik, Dragi Kocev:
Oblique Predictive Clustering Trees. - Gulmira Tolegen, Alymzhan Toleu, Orken Mamyrbayev, Rustam Mussabayev:
Neural Named Entity Recognition for Kazakh. - Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, Francesco Conti, Lorenzo Pellegrini, Vincenzo Lomonaco, Davide Maltoni, Luca Benini:
Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V Extreme-Edge Node. - Yi Zhang, Jitao Sang:
Towards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing. - Molla Rashied Hussein, Ehsanul Hoque Apu, Shahriar Shahabuddin, Abdullah Bin Shams, Russell Kabir:
Overview of digital health surveillance system during COVID-19 pandemic: public health issues and misapprehensions. - Anton Razzhigaev, Klim Kireev, Edgar Kaziakhmedov, Nurislam Tursynbek, Aleksandr Petiushko:
Black-Box Face Recovery from Identity Features. - Yunpeng Shi, Gilad Lerman:
Message Passing Least Squares Framework and its Application to Rotation Synchronization. - Pengcheng Xia, Haoyu Wang, Xiapu Luo, Lei Wu, Yajin Zhou, Guangdong Bai, Guoai Xu, Gang Huang, Xuanzhe Liu:
Don't Fish in Troubled Waters! Characterizing Coronavirus-themed Cryptocurrency Scams. - Zahra Kadkhodaie, Eero P. Simoncelli:
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser. - Jawher Jerray, Laurent Fribourg, Étienne André:
Robust optimal control using dynamic programming and guaranteed Euler's method. - Pranav Kumar Singh, Roshan Singh, Sukumar Nandi:
V-CARE: A Blockchain Based Framework for Secure Vehicle Health Record System. - Perry Gibson, José Cano:
Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. - Behnam Neyshabur:
Towards Learning Convolutions from Scratch. - Yuhan Liu, Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, Michael Riley:
Learning discrete distributions: user vs item-level privacy. - Yinjin Fu:
CARAM: A Content-Aware Hybrid PCM/DRAM Main Memory System Framework. - Elif Ecem Bas, Denis Aslangil, Mohamed A. Moustafa:
Predicting Nonlinear Seismic Response of Structural Braces Using Machine Learning. - Gerrit Welper:
Universality of Gradient Descent Neural Network Training. - Zhiguo Ding:
Harvesting Devices' Heterogeneous Energy Profiles and QoS Requirements in IoT: WPT-NOMA vs BAC-NOMA. - Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre:
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning. - Alfio Di Mauro, Davide Rossi, Antonio Pullini, Philippe Flatresse, Luca Benini:
Performance-Aware Predictive-Model-Based On-Chip Body-Bias Regulation Strategy for an ULP Multi-Core Cluster in 28nm UTBB FD-SOI. - Umberto Ferraro Petrillo, Francesco Palini, Giuseppe Cattaneo, Raffaele Giancarlo:
FASTA/Q Data Compressors for MapReduce-Hadoop Genomics: Space and Time Savings Made Easy - Version 1. - Abhishek Nan, Matthew Tennant, Uriel Rubin, Nilanjan Ray:
Ordinary Differential Equation and Complex Matrix Exponential for Multi-resolution Image Registration. - Yepeng Ding, Hiroyuki Sato:
Extending Concurrent Separation Logic to Enhance Modular Formalization. - Zongze Li, Minghua Xia, Miaowen Wen, Yik-Chung Wu:
Massive Access in Secure NOMA under Imperfect CSI: Security Guaranteed Sum-Rate Maximization with First-Order Algorithm. - Barbara Caroline Benato, Jancarlo Ferreira Gomes, Alexandru Cristian Telea, Alexandre Xavier Falcão:
Semi-Automatic Data Annotation guided by Feature Space Projection. - Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn:
Evolve To Control: Evolution-based Soft Actor-Critic for Scalable Reinforcement Learning. - Ferran Parés, Anna Arias-Duart, Dario Garcia-Gasulla, Gema Campo-Francés, Nina Viladrich, Eduard Ayguadé, Jesús Labarta:
A Closer Look at Art Mediums: The MAMe Image Classification Dataset. - (Withdrawn) Symmetries: From Proofs To Algorithms And Back.
- Kaushik Manchella, Abhishek K. Umrawal, Vaneet Aggarwal:
FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers & Goods Transportation. - Javier Cremona, Lucas C. Uzal, Taihú Pire:
WGANVO: Monocular Visual Odometry based on Generative Adversarial Networks. - Anca Avram, Oliviu Matei, Camelia-Mihaela Pintea, Carmen Anton:
Innovative Platform for Designing Hybrid Collaborative & Context-Aware Data Mining Scenarios. - Andra Lutu, Byunjin Jun, Alessandro Finamore, Fabian E. Bustamante, Diego Perino:
Where Things Roam: Uncovering Cellular IoT/M2M Connectivity. - Chih-Wei Chen, Charles Harrison, Hsin-Hsiung Huang:
The Unsupervised Method of Vessel Movement Trajectory Prediction. - Gustav Lindmark, Claudio Altafini:
Investigating the effect of edge modifications on networked control systems. - Bharat Bohara, Sunil Maharjan, Bibek Raj Shrestha:
IoT Based Smart Home using Blynk Framework. - Kenzo Lobos-Tsunekawa, Tatsuya Harada:
Point Cloud Based Reinforcement Learning for Sim-to-Real and Partial Observability in Visual Navigation. - Claudio Filipi Goncalves dos Santos, Danilo Colombo, Mateus Roder, João Paulo Papa:
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values. - Shengyi Qian, Linyi Jin, David F. Fouhey:
Associative3D: Volumetric Reconstruction from Sparse Views. - Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum:
Noisy Agents: Self-supervised Exploration by Predicting Auditory Events. - Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun:
Learning Lane Graph Representations for Motion Forecasting. - Nishchal K. Verma, Teena Sharma, Sonal Dixit, Pooja Agrawal, Sourya Sengupta, Vikas Singh:
BIDEAL: A Toolbox for Bicluster Analysis - Generation, Visualization and Validation. - Moo K. Chung:
Diffusion Equations on Graphs. - Kathryn Heal, Avinash Kulkarni, Emre Can Sertöz:
Deep Learning Gauss-Manin Connections. - Joseph Enguehard, Dan Busbridge, Adam Bozson, Claire Woodcock, Nils Y. Hammerla:
Neural Temporal Point Processes For Modelling Electronic Health Records. - Lalhruaizela Chhangte, Emanuele Viterbo, D. Manjunath, Nikhil Karamchandani:
Index Coding at the WiFi Edge: An Implementation Study for Video Delivery. - Nobal B. Niraula, Saurab Dulal, Diwa Koirala:
Linguistic Taboos and Euphemisms in Nepali. - Ida Syafiza M. Isa, Taisir E. H. El-Gorashi, Mohamed O. I. Musa, Jaafar M. H. Elmirghani:
Energy Efficient Fog based Healthcare Monitoring Infrastructure. - Marcus Nolte, Inga Jatzkowski, Susanne Ernst, Markus Maurer:
Supporting Safe Decision Making Through Holistic System-Level Representations & Monitoring - A Summary and Taxonomy of Self-Representation Concepts for Automated Vehicles. - Mohamed Tarek Ibn Ziad, Miguel A. Arroyo, Simha Sethumadhavan:
SPAM: Stateless Permutation of Application Memory. - Andra Lutu, Byunjin Jun, Fabian E. Bustamante, Diego Perino, Marcelo Bagnulo, Carlos Gamboa Bontje:
A first look at the IP eXchange Ecosystem. - Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, Qi Tian:
Corner Proposal Network for Anchor-free, Two-stage Object Detection. - Timothy Castiglia, Anirban Das, Stacy Patterson:
Multi-Level Local SGD for Heterogeneous Hierarchical Networks. - Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar:
CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19. - Bharath Kandimalla, Shaurya Rohatgi, Jian Wu, C. Lee Giles:
Large Scale Subject Category Classification of Scholarly Papers with Deep Attentive Neural Networks. - Kevin Kiningham, Christopher Ré, Philip Alexander Levis:
GRIP: A Graph Neural Network Accelerator Architecture. - Ravi Kiran Selvam, Mayank Kejriwal:
On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices. - Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi:
Chest X-ray Report Generation through Fine-Grained Label Learning. - Stefan Dreisiebner, Sophie März, Thomas Mandl:
Information Behavior During the Covid-19 Crisis in German-Speaking Countries. - Eyal Gofer, Shachar Praisler, Guy Gilboa:
Adaptive LiDAR Sampling and Depth Completion using Ensemble Variance. - Yifeng Zhang, Ming Jiang, Qi Zhao:
Saliency Prediction with External Knowledge. - Nora E. Aguirre-Celis, Risto Miikkulainen:
Characterizing the Effect of Sentence Context on Word Meanings: Mapping Brain to Behavior. - Enrique Otárola:
Fractional semilinear optimal control: optimality conditions, convergence, and error analysis. - Pankaj Khatiwada, Hari Bhusal, Ayan Chatterjee, Martin W. Gerdes:
A Proposed Access Control-Based Privacy Preservation Model to Share Healthcare Data in Cloud. - Robert West:
Calibration of Google Trends Time Series. - Carlos G. Correa, Mark K. Ho, Fred Callaway, Thomas L. Griffiths:
Resource-rational Task Decomposition to Minimize Planning Costs. - Bowen Wen, Chaitanya Mitash, Baozhang Ren, Kostas E. Bekris:
se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains. - Martin Humenberger, Yohann Cabon, Nicolas Guérin, Julien Morat, Jérôme Revaud, Philippe Rerole, Noé Pion, César Roberto de Souza, Vincent Leroy, Gabriela Csurka:
Robust Image Retrieval-based Visual Localization using Kapture. - Lanlan Liu, Mingzhe Wang, Jia Deng:
A Unified Framework of Surrogate Loss by Refactoring and Interpolation. - Ghulam Jilani Quadri, Paul Rosen:
Modeling the Influence of Visual Density on Cluster Perception in Scatterplots Using Topology. - Umberto Michelucci, Francesca Venturini:
Multi-Task Learning for Multi-Dimensional Regression: Application to Luminescence Sensing. - Shaolin Liao, Lu Ou:
iESC: iterative Equivalent Surface Current Approximation. - Paul Rosen, Ghulam Jilani Quadri:
LineSmooth: An Analytical Framework for Evaluating the Effectiveness of Smoothing Techniques on Line Charts. - Christian D. Blakely, Ole-Christoffer Granmo:
Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines with Applications to Explaining High-Dimensional Data. - Yan Zhang, Michael J. Black, Siyu Tang:
Perpetual Motion: Generating Unbounded Human Motion. - Devendra K. Jangid, Neal R. Brodnik, Amil Khan, McLean P. Echlin, Tresa M. Pollock, Sam Daly, B. S. Manjunath:
3DMaterialGAN: Learning 3D Shape Representation from Latent Space for Materials Science Applications. - Felix Weninger, Yue Zhang, Rosalind W. Picard:
openXDATA: A Tool for Multi-Target Data Generation and Missing Label Completion. - Djebril Mekhazni, Amran Bhuiyan, George S. Eskander Ekladious, Eric Granger:
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification. - Edna Dias Canedo, Rodrigo Bonifácio, Márcio Vinicius Okimoto, Alexander Serebrenik, Gustavo Pinto, Eduardo Monteiro:
Work Practices and Perceptions from Women Core Developers in OSS Communities. - Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi:
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders. - Aditya Shukla:
Linear Delay-cell Design for Low-energy Delay Multiplication and Accumulation. - Tamzidul Mina, Shyam Sundar Kannan, Wonse Jo, Byung-Cheol Min:
Adaptive Workload Allocation for Multi-human Multi-robot Teams for Independent and Homogeneous Tasks. - Bowei Wu, Per-Gunnar Martinsson:
Zeta Correction: A New Approach to Constructing Corrected Trapezoidal Quadrature Rules for Singular Integral Operators. - Jeremy Ferwerda, Nicholas Adams-Cohen, Kirk Bansak, Jennifer Fei, Duncan Lawrence, Jeremy M. Weinstein, Jens Hainmueller:
Leveraging the Power of Place: A Data-Driven Decision Helper to Improve the Location Decisions of Economic Immigrants. - Bahram Marami, Atabak Reza Royaee:
Automatic Detection and Classification of Waste Consumer Medications for Proper Management and Disposal. - Gunshi Gupta, Karmesh Yadav, Liam Paull:
La-MAML: Look-ahead Meta Learning for Continual Learning. - Stefan Frei, Gozel Judakova, Thomas Richter:
A locally modified second-order finite element method for interface problems. - Anne Draelos, John M. Pearson:
Online Neural Connectivity Estimation with Noisy Group Testing. - Pedro Morgado, Yunsheng Li, José Costa Pereira, Mohammad J. Saberian, Nuno Vasconcelos:
Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings. - David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny:
Active Learning for Video Description With Cluster-Regularized Ensemble Ranking. - Senthil Purushwalkam, Abhinav Gupta:
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases. - Mouktar Bello, Arsenia Chorti, Inbar Fijalkow, Wenjuan Yu, Leila Musavian:
Asymptotic Performance Analysis of NOMA Uplink Networks Under Statistical QoS Delay Constraints. - Luyao Niu, Andrew Clark:
Control Barrier Functions for Abstraction-Free Control Synthesis under Temporal Logic Constraints. - Yu-Jun Zheng, Si-Lan Yu, Jun-Chao Yang, Tie-Er Gan, Qin Song, Jun Yang, Mumtaz Karatas:
Intelligent Optimization of Diversified Community Prevention of COVID-19 using Traditional Chinese Medicine. - Hoang Manh Hung, Hyung-Jeong Yang, Soo-Hyung Kim, Gueesang Lee:
Variants of BERT, Random Forests and SVM approach for Multimodal Emotion-Target Sub-challenge. - Yang Cai, Kira Goldner, Steven Ma, Mingfei Zhao:
On Multi-Dimensional Gains from Trade Maximization. - Hamid Soleimani, Emmanuel M. Drakakis:
A Generalized Strong-Inversion CMOS Circuitry for Neuromorphic Applications. - Limeng Dong, Hui-Ming Wang:
Enhancing Secure MIMO Transmission via Intelligent Reflecting Surface. - Ang Li, Christos Masouros, A. Lee Swindlehurst, Wei Yu:
1-Bit Massive MIMO Transmission: Embracing Interference with Symbol-Level Precoding. - Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Mohammad M. Islam, Ümit Y. Ogras:
Analytical Performance Modeling of NoCs under Priority Arbitration and Bursty Traffic. - Seungmo Kim, Ahmed S. Ibrahim:
Byzantine-Fault-Tolerant Consensus via Reinforcement Learning for Permissioned Blockchain Implemented in a V2X Network. - Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiaoyu Zhang, Guoren Wang:
On Deep Unsupervised Active Learning. - En Yen Puang, Keng Peng Tee, Wei Jing:
KOVIS: Keypoint-based Visual Servoing with Zero-Shot Sim-to-Real Transfer for Robotics Manipulation. - Rui Li, Haijian Yang, Chao Yang:
Parallel multilevel restricted Schwarz preconditioners for implicit simulation of subsurface flows with Peng-Robinson equation of state. - Li Yuan, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion Analysis. - Zengyi Qin, Jinglu Wang, Yan Lu:
Weakly Supervised 3D Object Detection from Point Clouds. - Kieran Strobel, Sibo Zhu, Raphael Chang, Skanda Koppula:
Accurate, Low-Latency Visual Perception for Autonomous Racing: Challenges, Mechanisms, and Practical Solutions. - Fatemah Husain, Jooyeon Lee, Samuel Henry, Özlem Uzuner:
SalamNET at SemEval-2020 Task12: Deep Learning Approach for Arabic Offensive Language Detection. - Yoshiki Masuyama, Yoshiaki Bando, Kohei Yatabe, Yoko Sasaki, Masaki Onishi, Yasuhiro Oikawa:
Self-supervised Neural Audio-Visual Sound Source Localization via Probabilistic Spatial Modeling. - Donsub Rim, Luca Venturi, Joan Bruna, Benjamin Peherstorfer:
Depth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems. - Zijun Wu, Rolf H. Möhring:
A sensitivity analysis for the price of anarchy in non-atomic congestion games. - Linan Huang, Quanyan Zhu:
Cognitive Honeypots against Lateral Movement for Mitigation of Long-Term Vulnerability. - John C. Duchi, Tatsunori Hashimoto, Hongseok Namkoong:
Distributionally Robust Losses for Latent Covariate Mixtures. - Ruilong Li, Yuliang Xiu, Shunsuke Saito, Zeng Huang, Kyle Olszewski, Hao Li:
Monocular Real-Time Volumetric Performance Capture. - Junde Li, Swaroop Ghosh:
Quantum-soft QUBO Suppression for Accurate Object Detection. - Jun Zhang, Mina Henein, Robert E. Mahony, Viorela Ila:
Robust Ego and Object 6-DoF Motion Estimation and Tracking. - Hasara Maithree, Dilan Dinushka, Adeesha Wijayasiri:
Change Detection Using Synthetic Aperture Radar Videos. - Esther Galbrun:
The Minimum Description Length Principle for Pattern Mining: A Survey. - Alexis J. Vallarella, Paula Cardone, Hernan Haimovich:
Semiglobal exponential input-to-state stability of sampled-data systems based on approximate discrete-time models. - Taichi Murayama, Shoko Wakamiya, Eiji Aramaki:
Fake News Detection using Temporal Features Extracted via Point Process. - Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee-Keong Kwoh:
GLIMG: Global and Local Item Graphs for Top-N Recommender Systems. - Jingjing Wang, Yanhao Wang, Wenjun Jiang, Yuchen Li, Kian-Lee Tan:
Efficient Sampling Algorithms for Approximate Temporal Motif Counting (Extended Version). - Neil Shah, Grant Ho, Marco Schweighauser, M. H. Afifi, Asaf Cidon, David A. Wagner:
A Large-Scale Analysis of Attacker Activity in Compromised Enterprise Accounts. - Salar Arbabi, Shilp Dixit, Ziyao Zheng, David Oxtoby, Alexandros Mouzakitis, Saber Fallah:
Lane-Change Initiation and Planning Approach for Highly Automated Driving on Freeways. - Taner Ince:
Superpixel Based Graph Laplacian Regularization for Sparse Hyperspectral Unmixing. - T. H. Le, T. N. Nguyen:
Equivalent conditions for simultaneous diagonalization via *-congruence of Hermitian matrices. - Alexander Schperberg, Kenny Chen, Stephanie Tsuei, Michael Jewett, Joshua Hooks, Stefano Soatto, Ankur Mehta, Dennis W. Hong:
Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance. - Daniel Viner, Matthias Stierle, Martin Matzner:
A Process Mining Software Comparison. - Jirong Yi, Raghu Mudumbai, Weiyu Xu:
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning. - Marcelo Arenas, Pablo Barceló, Leopoldo E. Bertossi, Mikaël Monet:
The Tractability of SHAP-scores over Deterministic and Decomposable Boolean Circuits. - Stephan Lukasczyk, Florian Kroiß, Gordon Fraser:
Automated Unit Test Generation for Python. - Yuanqi Chen, Xiaoming Yu, Shan Liu, Ge Li:
Toward Zero-Shot Unsupervised Image-to-Image Translation. - Chen-Xin Wu, Min-Hui Liao, Mumtaz Karatas, Sheng-Yong Chen, Yu-Jun Zheng:
Real-Time Neural Network Scheduling of Emergency Medical Mask Production during COVID-19. - Taichi Murayama, Shoko Wakamiya, Eiji Aramaki, Ryota Kobayashi:
Modeling and Predicting Fake News Spreading on Twitter. - Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed:
Big Bird: Transformers for Longer Sequences. - Xuehai Huang:
Nonconforming finite element Stokes complexes in three dimensions. - Jacopo Mauro:
Anomaly detection in Context-aware Feature Models. - Xinzhi Wang, Luyao Kou, Vijayan Sugumaran, Xiangfeng Luo, Hui Zhang:
Emotion Correlation Mining Through Deep Learning Models on Natural Language Text. - Sainik Kumar Mahata, Amrita Chandra, Dipankar Das, Sivaji Bandyopadhyay:
Preparation of Sentiment tagged Parallel Corpus and Testing its effect on Machine Translation. - Jacques Basaldúa:
Formal Fields: A Framework to Automate Code Generation Across Domains. - Süleyman Yildiz, Pawan Goyal, Peter Benner, Bülent Karasözen:
Data-Driven Learning of Reduced-order Dynamics for a Parametrized Shallow Water Equation. - Alexander Soen, Alexander Patrick Mathews, Daniel Grixti-Cheng, Lexing Xie:
Universal Approximation with Neural Intensity Point Processes. - Taichi Murayama, Shoko Wakamiya, Eiji Aramaki:
Universal Fake News Collection System using Debunking Tweets. - Serhan Gül, Sebastian Bosse, Dimitri Podborski, Thomas Schierl, Cornelius Hellge:
Kalman Filter-based Head Motion Prediction for Cloud-based Mixed Reality. - Andreas Björklund, Petteri Kaski:
Counting Short Vector Pairs by Inner Product and Relations to the Permanent. - Martin Brossard, Axel Barrau, Paul Chauchat, Silvère Bonnabel:
Associating Uncertainty to Extended Poses for on Lie Group IMU Preintegration with Rotating Earth. - Andrew Katumba, Moses Bomera, Cosmas Mwikirize, Gorret Namulondo, Mary Gorret Ajero, Idd Ramathani, Olivia Nakayima, Grace Nakabonge, Dorothy Okello, Jonathan Serugunda:
A Deep Learning-based Detector for Brown Spot Disease in Passion Fruit Plant Leaves. - Zhiwen He, Jiejing Wen:
Linear Codes Of 2-Designs As Subcodes Of The Extended Generalized Reed-Muller Codes. - Shaolei Liu, Zhijian Song, Manning Wang:
WaveFuse: A Unified Deep Framework for Image Fusion with Wavelet Transform. - Anna-Kathrin Kopetzki, Stephan Günnemann:
Reachable Sets of Classifiers & Regression Models: (Non-)Robustness Analysis and Robust Training. - Daniel Rodriguez-Criado, Pilar Bachiller, Pablo Bustos, George Vogiatzis, Luis J. Manso:
Multi-camera Torso Pose Estimation using Graph Neural Networks. - Martin Fajcik, Josef Jon, Martin Docekal, Pavel Smrz:
BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models. - Zhuoyi Lin, Lei Feng, Xingzhi Guo, Rui Yin, Chee Keong Kwoh, Chi Xu:
COMET: Convolutional Dimension Interaction for Deep Matrix Factorization. - Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser:
Adoption and Effects of Software Engineering Best Practices in Machine Learning. - Anatol Maier, Benedikt Lorch, Christian Riess:
Toward Reliable Models for Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks. - Hamza Eray, Alptekin Temizel:
Performance Analysis of Noise Subspace-based Narrowband Direction-of-Arrival (DOA) Estimation Algorithms on CPU and GPU. - Tai-Xiang Jiang, Michael K. Ng, Junjun Pan, Guang-Jing Song:
Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images. - Pratik Ghosal, Syed Mohammad Meesum, Katarzyna Paluch:
Rectangle Tiling Binary Arrays. - Matteo Zecchin, David Gesbert, Marios Kountouris:
Team Deep Mixture of Experts for Distributed Power Control. - Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody, Eiman Ebrahimi, Jinjun Xiong, Rakesh Nagi, Wen-mei W. Hwu:
Efficient Inference on GPUs for the Sparse Deep Neural Network Graph Challenge 2020. - Dominique Unruh:
Local Variables and Quantum Relational Hoare Logic. - Naveen Garg, Nikhil Kumar:
Dual Half-integrality for Uncrossable Cut Cover and its Application to Maximum Half-Integral Flow. - Osama M. Bushnaq, Anas Chaaban, Tareq Y. Al-Naffouri:
The Role of UAV-IoT Networks in Future Wildfire Detection. - Édouard Bonnet, Colin Geniet, Eun Jung Kim, Stéphan Thomassé, Rémi Watrigant:
Twin-width III: Max Independent Set and Coloring. - Shaoxiang Chen, Wenhao Jiang, Wei Liu, Yu-Gang Jiang:
Learning Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos. - Derya Soydaner:
A Comparison of Optimization Algorithms for Deep Learning. - Hubie Chen, Georg Gottlob, Matthias Lanzinger, Reinhard Pichler:
Semantic Width and the Fixed-Parameter Tractability of Constraint Satisfaction Problems. - Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann:
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings. - Jiasong Wu, Jing Zhang, Fuzhi Wu, Youyong Kong, Guanyu Yang, Lotfi Senhadji, Huazhong Shu:
Generative networks as inverse problems with fractional wavelet scattering networks. - Mete Can Kaya, Alperen Inci, Alptekin Temizel:
Optimization of XNOR Convolution for Binary Convolutional Neural Networks on GPU. - Benjamin Bergougnoux, Édouard Bonnet, Nick Brettell, O-joung Kwon:
Close relatives of Feedback Vertex Set without single-exponential algorithms parameterized by treewidth. - Kevin Wallis, Jan Stodt, Eugen Jastremskoj, Christoph Reich:
Agreements between Enterprises digitized by Smart Contracts in the Domain of Industry 4.0. - Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem:
A Commentary on the Unsupervised Learning of Disentangled Representations. - He Bai, Jemin George, Aranya Chakrabortty:
Hierarchical Control of Multi-Agent Systems using Online Reinforcement Learning. - Seongjin Choi, Jiwon Kim, Hwasoo Yeo:
TrajGAIL: Generating Urban Trajectories using Generative Adversarial Imitation Learning. - Daxin Nie, Jing Sun, Weihua Deng:
Strong convergence order for the scheme of fractional diffusion equation driven by fractional Gaussion noise. - Jan Stodt, Christoph Reich:
Data Confidentiality In P2P Communication And Smart Contracts Of Blockchain In Industry 4.0. - Zhi Wang, Chunlin Chen, Daoyi Dong:
Lifelong Incremental Reinforcement Learning with Online Bayesian Inference. - Qian Zhao, Siyu Tao, Jie Zhou, Linlin Wang, Xin Lin, Liang He:
ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation. - Ankit Palliwal, Shuang Song, Hugh Tiang Wah Tan, Filip Biljecki:
3D city models for urban farming site identification in buildings. - Arnold Filtser, Michael Kapralov, Navid Nouri:
Graph Spanners by Sketching in Dynamic Streams and the Simultaneous Communication Model. - Muhammad Asim, Yong Wang, Kezhi Wang, Pei-Qiu Huang:
A Review on Computational Intelligence Techniques in Cloud and Edge Computing. - Duong N. Nguyen, Sandeep S. Kulkarni:
Technical Report: Benefits of Stabilization versus Rollback in Self-Stabilizing Graph-Based Applications on Eventually Consistent Key-Value Stores. - Marc Allassonnière-Tang, Ali Basirat:
Word embedding and neural network on grammatical gender - A case study of Swedish. - Zhenyu Guo, Mingyu Xiao, Yi Zhou:
The Complexity of the Partition Coloring Problem. - Marimuthu Kalimuthu, Fabrizio Nunnari, Daniel Sonntag:
A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task. - Goodarz Mehr, Azim Eskandarian:
A Probabilistic Approach to Driver Assistance for Delay Reduction at Congested Highway Lane Drops. - Axel Laborieux, Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Implementation of Ternary Weights with Resistive RAM Using a Single Sense Operation per Synapse. - Tim Pearce, Andrew Y. K. Foong, Alexandra Brintrup:
Structured Weight Priors for Convolutional Neural Networks. - Alessandro Berti, Wil M. P. van der Aalst:
A Novel Token-Based Replay Technique to Speed Up Conformance Checking and Process Enhancement. - Gabriel Bernardino, Oualid M. Benkarim, María Sanz-de la Garza, Susanna Prat-Gonzàlez, Álvaro Sepúlveda-Martínez, Fátima Crispi, Marta Sitges, Mathieu De Craene, Bart H. Bijnens, Miguel Ángel González Ballester:
Handling confounding variables in statistical shape analysis - application to cardiac remodelling. - Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi:
A Machine Learning Approach to Online Fault Classification in HPC Systems. - Gabriel Paludo Licks, Felipe Meneguzzi:
Automated Database Indexing using Model-free Reinforcement Learning. - (Withdrawn) Bayesian Multi Scale Neural Network for Crowd Counting.
- Katarzyna Kosek-Szott, Alice Lo Valvo, Szymon Szott, Ilenia Tinnirello, Pierluigi Gallo:
Downlink Channel Access Performance of NR-U: Impact of Scheduling Flexibility on Coexistence with Wi-Fi in the 5 GHz Band. - Teng Liu, Yang Xing, Long Chen, Dongpu Cao, Fei-Yue Wang:
Defining Digital Quadruplets in the Cyber-Physical-Social Space for Parallel Driving. - Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Liwei Wang:
RANDOM MASK: Towards Robust Convolutional Neural Networks. - Farzaneh Khoshnevisan, Zhewen Fan, Vitor R. Carvalho:
Improving Robustness on Seasonality-Heavy Multivariate Time Series Anomaly Detection. - Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff:
RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies. - Ali Asadi, Krishnendu Chatterjee, Hongfei Fu, Amir Kafshdar Goharshady, Mohammad Mahdavi:
Inductive Reachability Witnesses. - Chengbin Pang, Ruotong Yu, Yaohui Chen, Eric Koskinen, Georgios Portokalidis, Bing Mao, Jun Xu:
SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly But Were Afraid to Ask. - Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. - Craig Macdonald, Nicola Tonellotto:
Declarative Experimentation in Information Retrieval using PyTerrier. - Or Yair, Almog Lahav, Ronen Talmon:
Symmetric Positive Semi-definite Riemmanian Geometry with Application to Domain Adaptation. - Liz Dowthwaite, Elvira Perez Vallejos, Helen Creswick, Virginia Portillo, Menisha Patel, Jun Zhao:
Developing a measure of online wellbeing and user trust. - Alexandros A. Voudouris:
Simple combinatorial auctions with budget constraints. - Marcos Dósea, Cláudio Sant'Anna, Ythanna Oliveira, Methanias Colaço Júnior:
A Survey of Software Code Review Practices in Brazil. - Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyskac, Yuankai Huo:
Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking. - Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP:
Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors. - Zhiying Fang, Han Feng, Shuo Huang, Ding-Xuan Zhou:
Theory of Deep Convolutional Neural Networks II: Spherical Analysis. - Sashank Tirumala, Sagar Venkatesh Gubbi, Kartik Paigwar, Aditya Sagi, Ashish Joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya:
Learning Stable Manoeuvres in Quadruped Robots from Expert Demonstrations. - Xin Li, Qiang Yao, Xuli Tang, Qian Li, Mengjia Wu:
How to Investigate the Historical Roots and Evolution of Research Fields in China? A Case Study on iMetrics Using RootCite. - Frank Rudzicz, Raeid Saqur:
Ethics of Artificial Intelligence in Surgery. - Timm Faulwasser, Mario Zanon:
Primal or Dual Terminal Constraints in Economic MPC? - Comparison and Insights. - Yuval Emek, Yuval Gil:
Twenty-Two New Approximate Proof Labeling Schemes. - Silvia de Juan Mohan, Andres Ospina-Alvarez, Sebastián Villasante, Ana Ruiz-Frau:
Wide-scale assessment of cultural ecosystem services in coastal areas using graph theory on social media data. - Anton Golubev, Natalia V. Loukachevitch:
Improving Results on Russian Sentiment Datasets. - Zhi-Qin John Xu, Hanxu Zhou:
Deep frequency principle towards understanding why deeper learning is faster. - Matt Poyser, Amir Atapour Abarghouei, Toby P. Breckon:
On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures. - Mazharul Islam, Sazzadur Rahaman, Na Meng, Behnaz Hassanshahi, Padmanabhan Krishnan, Danfeng Yao:
Coding Practices and Recommendations of Spring Security for Enterprise Applications. - Christopher A. Choquette-Choo, Florian Tramèr, Nicholas Carlini, Nicolas Papernot:
Label-Only Membership Inference Attacks. - Anelia Somekh-Baruch:
A Single-Letter Upper Bound on the Mismatch Capacity via Multicast Transmission. - Mingyu Cai, Zhijun Li, Hongbo Gao, Shaoping Xiao, Zhen Kan:
Optimal Probabilistic Motion Planning with Partially Infeasible LTL Constraints. - Theocharis Koukaras, Kostas Kolomvatsos:
An Ensemble Scheme for Proactive Data Allocation in Distributed Datasets. - Ajinkya Gaikwad, Soumen Maity, Shuvam Kant Tripathi:
The Satisfactory Partition Problem. - Luca Coradello, Gabriele Loli, Annalisa Buffa:
A projected super-penalty method for the C1-coupling of multi-patch isogeometric Kirchhoff plates. - Jack H. Lutz, Elvira Mayordomo:
Algorithmic Fractal Dimensions in Geometric Measure Theory. - Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai:
Dive Deeper Into Box for Object Detection. - Zhou Huang, Huai-Xin Chen, Tao Zhou, Yun-Zhi Yang, Chang-Yin Wang:
Multi-level Cross-modal Interaction Network for RGB-D Salient Object Detection. - Roey Ron, Gil Elbaz:
EXPO-HD: Exact Object Perception using High Distraction Synthetic Data. - Saif Khan Mohammed:
Derivation of OTFS Modulation from First Principles. - Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent. - Kenneth Lai, Helder Cesar Rodigues de Oliveira, Ming Hou, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Assessing Risks of Biases in Cognitive Decision Support Systems. - Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun:
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. - Joshua Brakensiek, Moses Charikar, Aviad Rubinstein:
A Simple Sublinear Algorithm for Gap Edit Distance. - Augusto Vega, Aporva Amarnath, John-David Wellman, Hiwot Kassa, Subhankar Pal, Hubertus Franke, Alper Buyuktosunoglu, Ronald G. Dreslinski, Pradip Bose:
STOMP: A Tool for Evaluation of Scheduling Policies in Heterogeneous Multi-Processors. - Weikai Yang, Zhen Li, Mengchen Liu, Yafeng Lu, Kelei Cao, Ross Maciejewski, Shixia Liu:
Diagnosing Concept Drift with Visual Analytics. - Wentai Wu, Ligang He, Weiwei Lin, Rui Mao:
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems. - Heather M. Guarnera, Feodor F. Dragan, Arne Leitert:
Injective hulls of various graph classes. - Tianjiao Wang, Zengfu Wang, Bill Moran, Moshe Zukerman:
Optimal Tree Topology for a Submarine Cable Network With Constrained Internodal Latency. - Augustus Odena, Kensen Shi, David Bieber, Rishabh Singh, Charles Sutton:
BUSTLE: Bottom-up program-Synthesis Through Learning-guided Exploration. - Daniel J. Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Titouan Parcollet, Nicholas D. Lane:
Flower: A Friendly Federated Learning Research Framework. - Jinkai Hu, Milo K. Yip, Guillermo Elias Alonso, Shihao Gu, Xiangjun Tang, Xiaogang Jin:
Signed Distance Fields Dynamic Diffuse Global Illumination. - Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao:
AiR: Attention with Reasoning Capability. - Omer Shlomovits, Oded Leiba:
JugglingSwap: Scriptless Atomic Cross-Chain Swaps. - Nino Vieillard, Olivier Pietquin, Matthieu Geist:
Munchausen Reinforcement Learning. - Dennis Núñez Fernández, Franklin Porras-Barrientos, Robert H. Gilman, Macarena Vittet-Mondoñedo, Patricia Sheen, Mirko Zimic:
A Convolutional Neural Network for gaze preference detection: A potential tool for diagnostics of autism spectrum disorder in children. - Xiaoyu Zhang, Ajmal Mian, Rohit Gupta, Nazanin Rahnavard, Mubarak Shah:
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations. - Harm de Vries, Dzmitry Bahdanau, Christopher D. Manning:
Towards Ecologically Valid Research on Language User Interfaces. - Hillary R. Fairbanks, Umberto Villa, Panayot S. Vassilevski:
Multilevel Hierarchical Decomposition of Finite Element White Noise with Application to Multilevel Markov Chain Monte Carlo. - Ha-Kyung Kwon, Chirranjeevi Balaji Gopal, Jared Kirschner, Santiago Caicedo, Brian D. Storey:
A user-centered approach to designing an experimental laboratory data platform. - M. Naseer Subhani, Mohsen Ali:
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation. - Shreya Chandrasekharan, Mariam Zaka, Stephen A. Gallo, Tandy J. Warnow, George Chacko:
Finding Scientific Communities In Citation Graphs: Convergent Clustering. - James Ravenscroft, Amanda Clare, Maria Liakata:
Measuring prominence of scientific work in online news as a proxy for impact. - Julian Frommel, Regan L. Mandryk:
Modeling Behaviour to Predict User State: Self-Reports as Ground Truth. - Charanjit K. Khosa, Verónica Sanz:
Anomaly Awareness. - Slimane Larabi:
Towards 3D Visualization of Video from Frames. - R. Omar Chavez-Garcia, Emian Furger, Samuele Kronauer, Christian Brianza, Marco Scarfò, Luca Diviani, Alessandro Giusti:
Learning to predict metal deformations in hot-rolling processes. - Li Chen, Thomas S. Hatsukami, Jenq-Neng Hwang, Chun Yuan:
Automated Intracranial Artery Labeling using a Graph Neural Network and Hierarchical Refinement. - Sajad Sotudeh, Tong Xiang, Hao-Ren Yao, Sean MacAvaney, Eugene Yang, Nazli Goharian, Ophir Frieder:
GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection. - Hamid Emadi, Sourabh Bhattacharya:
On the Characterization of Saddle Point Equilibrium for Security Games with Additive Utility. - Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone:
Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination. - Shuting Liao, Li-Yu Daisy Liu, Ting-An Chen, Kuang-Yu Chen, Fushing Hsieh:
Color-complexity enabled exhaustive color-dots identification and spatial patterns testing in images. - Bo Liu, Xuesu Xiao, Peter Stone:
Lifelong Navigation. - Mingrui Zhang, Matthew D. Piggott:
Unsupervised Learning of Particle Image Velocimetry. - Akhil Nagariya, Srikanth Saripalli:
An Iterative LQR Controller for Off-Road and On-Road Vehicles using a Neural Network Dynamics Model. - Zhuo Lu, Cliff Wang, Shangqing Zhao:
Cyber Deception for Computer and Network Security: Survey and Challenges. - Yusuf Aydin, Doganay Sirintuna, Cagatay Basdogan:
Towards Collaborative Drilling with a Cobot Using Admittance Controller. - Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu:
Families In Wild Multimedia (FIW-MM): A Multi-Modal Database for Recognizing Kinship. - Bin Cheng, Inderjot Singh Saggu, Raunak Shah, Gaurav Bansal, Dinesh Bharadia:
S3Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data. - Chaoyang He, Murali Annavaram, Salman Avestimehr:
Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge. - Nick Brettell, Matthew Johnson, Daniël Paulusma:
Computing Weighted Subset Transversals in H-Free Graphs. - Alex Kale, Matthew Kay, Jessica Hullman:
Visual Reasoning Strategies and Satisficing: How Uncertainty Visualization Design Impacts Effect Size Judgments and Decisions. - David R. Ledbetter, Eugene Laksana, Melissa Aczon, Randall C. Wetzel:
Improving Recurrent Neural Network Responsiveness to Acute Clinical Events. - Sourav Das, Vinith Krishnan, Ling Ren:
Efficient Cross-Shard Transaction Execution in Sharded Blockchains. - Caojin Zhang, Yicun Liu, Yuanpu Xie, Sofia Ira Ktena, Alykhan Tejani, Akshay Gupta, Pranay Kumar Myana, Deepak Dilipkumar, Suvadip Paul, Ikuhiro Ihara, Prasang Upadhyaya, Ferenc Huszar, Wenzhe Shi:
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems. - Andreas Demetriou, Henrik Alfsvåg, Sadegh Rahrovani, Morteza Haghir Chehreghani:
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories. - Erik D. Demaine, Martin L. Demaine, David Eppstein:
Acutely Triangulated, Stacked, and Very Ununfoldable Polyhedra. - Sifan Wang, Xinling Yu, Paris Perdikaris:
When and why PINNs fail to train: A neural tangent kernel perspective. - Masashi Okada, Tadahiro Taniguchi:
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction. - Constantinos Daskalakis, Dhruv Rohatgi, Manolis Zampetakis:
Truncated Linear Regression in High Dimensions. - Ayzaan Wahid, Austin Stone, Kevin Chen, Brian Ichter, Alexander Toshev:
Learning Object-conditioned Exploration using Distributed Soft Actor Critic. - Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu:
Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize. - Han Wang, Chen Wang, Lihua Xie:
Online Visual Place Recognition via Saliency Re-identification. - Tianyu Liu:
Compare and Select: Video Summarization with Multi-Agent Reinforcement Learning. - Bin Dai, Chong Li, Yingbin Liang, Zheng Ma, Shlomo Shamai:
Feedback Capacities of Gaussian Multiple-Access Wiretap Channels. - Jinlong Peng, Changan Wang, Fangbin Wan, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yanwei Fu:
Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking. - Yu Yao, Ella M. Atkins, Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du:
BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation. - Vishal Kaushal, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan:
Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework. - Shuai Huang, Trac D. Tran:
Probabilistic Massive MIMO Channel Estimation with Built-in Parameter Estimation. - Zhitao Li, Amin Vahidi-Moghaddam, Hamidreza Modares, Jinsheng Sun:
Adaptive Finite-time Disturbance Rejection for Nonlinear Systems using an Experience-Replay based Disturbance Observer. - Long Gong, Ziheng Liu, Liang Liu, Jun Xu, Mitsunori Ogihara, Tong Yang:
Space- and Computationally-Efficient Set Reconciliation via Parity Bitmap Sketch (PBS). - Song Liao, Christin Wilson, Long Cheng, Hongxin Hu, Huixing Deng:
Measuring the Effectiveness of Privacy Policies for Voice Assistant Applications. - Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou:
Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph. - Parinaz Naghizadeh, Carlee Joe-Wong, Mung Chiang:
Paid Prioritization with Content Competition. - Tathagata Raha, Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay:
Development of POS tagger for English-Bengali Code-Mixed data. - Daniel Yang, T. J. Tsai:
Camera-Based Piano Sheet Music Identification. - Mengyi Shan, T. J. Tsai:
Improved Handling of Repeats and Jumps in Audio-Sheet Image Synchronization. - Zhemin Li, Zhi-Qin John Xu, Tao Luo, Hongxia Wang:
A regularized deep matrix factorized model of matrix completion for image restoration. - T. J. Tsai, Kevin Ji:
Composer Style Classification of Piano Sheet Music Images Using Language Model Pretraining. - Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. - Matteo Frigo, Nicola Castelletto, Massimiliano Ferronato:
Enhanced Relaxed Physical Factorization preconditioner for coupled poromechanics. - Zongqian Zhan, Wenjie Jian, Yihui Li, Xin Wang, Yang Yue:
A SLAM Map Restoration Algorithm Based on Submaps and an Undirected Connected Graph. - Sourav Dutta, Tuan Tran, Banafsheh Rekabdar, Chinwe Ekenna:
Predictive Probability Path Planning Model For Dynamic Environments. - Lars Hertel, Pierre Baldi, Daniel L. Gillen:
Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning. - Yuncong Chen, Will Warren:
3D Fusion of Infrared Images with Dense RGB Reconstruction from Multiple Views - with Application to Fire-fighting Robots. - Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu:
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation. - Wenshuang Liu, Wenting Chen, Linlin Shen:
Translate the Facial Regions You Like Using Region-Wise Normalization. - Yusuf Yazici:
Approaches to Fraud Detection on Credit Card Transactions Using Artificial Intelligence Methods. - Lei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham, David Dagan Feng, Guang Ning:
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images. - Yuankai Qi, Zizheng Pan, Shengping Zhang, Anton van den Hengel, Qi Wu:
Object-and-Action Aware Model for Visual Language Navigation. - Dylan Campbell, Liu Liu, Stephen Gould:
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization. - Guido Schillaci, Alejandra Ciria, Bruno Lara:
Tracking Emotions: Intrinsic Motivation Grounded on Multi-Level Prediction Error Dynamics. - Tomas Geffner, Justin Domke:
Approximation Based Variance Reduction for Reparameterization Gradients. - Yong-Liang Zhao, Xian-Ming Gu, Alexander Ostermann:
A parallel preconditioning technique for an all-at-once system from subdiffusion equations with variable time steps. - Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D. Manning, Curtis P. Langlotz:
Biomedical and Clinical English Model Packages in the Stanza Python NLP Library. - Luca Serena, Stefano Ferretti, Gabriele D'Angelo:
DiLeNA: Distributed Ledger Network Analyzer. - Tianming Wang, Wenjie Lu, Huan Yu, Dikai Liu:
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection. - Toby Perrett, Alessandro Masullo, Tilo Burghardt, Majid Mirmehdi, Dima Damen:
Meta-Learning with Context-Agnostic Initialisations. - Jun Yuan, Shouxing Xiang, Jiazhi Xia, Lingyun Yu, Shixia Liu:
Evaluation of Sampling Methods for Scatterplots. - Yunus Bicer, Ali Alizadeh, Nazim Kemal Ure, Ahmetcan Erdogan, Orkun Kizilirmak:
Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation. - Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
Stylized Adversarial Defense. - Anna Karanika, Panagiotis Oikonomou, Kostas Kolomvatsos, Christos Anagnostopoulos:
On the Use of Interpretable Machine Learning for the Management of Data Quality. - Luca Becchetti, Andrea Clementi, Francesco Pasquale, Luca Trevisan, Isabella Ziccardi:
Expansion and Flooding in Dynamic Random Networks with Node Churn. - Philipp Rimle, Pelin Dogan, Markus Gross:
Enriching Video Captions With Contextual Text. - Fanfan Ye, Shiliang Pu, Qiaoyong Zhong, Chao Li, Di Xie, Huiming Tang:
Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition. - Juan Emmanuel Johnson, Valero Laparra, Adrián Pérez-Suay, Miguel D. Mahecha, Gustau Camps-Valls:
Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences. - Boris Bellalta:
The Low-latency Region of a Communication Link. - Konstantin Avrachenkov, Maximilien Dreveton:
Almost exact recovery in noisy semi-supervised learning. - Pascal Oser, Sebastian S. Feger, Pawel W. Wozniak, Jakob Karolus, Dayana Spagnuelo, Akash Gupta, Stefan Lüders, Albrecht Schmidt, Frank Kargl:
SAFER: Development and Evaluation of an IoT Device Risk Assessment Framework in a Multinational Organization. - Shuhei Nakamura:
Formal Power Series on Algebraic Cryptanalysis. - Feng Wang, Jie Xu:
Optimized Amplify-and-Forward Relaying for Hierarchical Over-the-Air Computation. - Yushan Pan, Arnfinn Oksavik, Hans Petter Hildre:
Simulator as a Tool for the Future Maritime Education and Research: A Discussion. - Yushan Pan, Hans Petter Hildre:
Maritime Design: A CSCW Territory? - Syed Afaq Ali Shah, Weifeng Deng, Jianxin Li, Muhammad Aamir Cheema, Abdul Bais:
CommuNety: A Deep Learning System for the Prediction of Cohesive Social Communities. - Gerhard Zangerl, Markus Haltmeier:
Multi-Scale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography. - Takayuki Sasaki, Yusuke Shimada:
Towards a Backdoorless Network Architecture Based on Remote Attestation and Backdoor Inspection. - Natalie Rauter, Rolf Lammering:
Correlation structure in the elasticity tensor for short fiber-reinforced composites. - Jing Qiu, Dabin Zheng, Fang-Wei Fu:
New Constructions of Optimal Cyclic (r, δ) Locally Repairable Codes from Their Zeros. - Rhys Howard, Claudio Zito:
Learning Transferable Push Manipulation Skills in Novel Contexts. - Takayuki Sasaki, Shuichi Karino, Mikiya Tani, Kazuaki Nakajima, Koki Tomita, Norio Yamagaki:
Security Architecture for Trustworthy Systems in 5G Era. - Jiajun Lv, Jinhong Xu, Kewei Hu, Yong Liu, Xingxing Zuo:
Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation. - Sebastian Bruch, Jan Pfeifer, Mathieu Guillame-Bert:
Learning Representations for Axis-Aligned Decision Forests through Input Perturbation. - Jules Vidal, Pierre Guillou, Julien Tierny:
A Progressive Approach to Scalar Field Topology. - Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzhen Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong:
Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning. - Zijun Wu, Rolf H. Möhring, Chunying Ren, Dachuan Xu:
A convergence analysis of the price of anarchy in atomic congestion games. - Vasiliki Demertzi, Konstantinos Demertzis:
A Hybrid Adaptive Educational eLearning Project based on Ontologies Matching and Recommendation System. - Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao:
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation. - Giorgio Barnabò, Carlos Castillo, Michael Mathioudakis, Sergio Celis:
Intersectional Affirmative Action Policies for Top-k Candidates Selection. - Nadjet Bourdache, Patrice Perny, Olivier Spanjaard:
Bayesian preference elicitation for multiobjective combinatorial optimization. - Mingshu Cong, Xi Weng, Han Yu, Jiabao Qu, Siu-Ming Yiu:
Optimal Procurement Auction for Cooperative Production of Virtual Products: Vickrey-Clarke-Groves Meet Cremer-McLean. - Shailesh Tripathi, David Muhr, Manuel Brunner, Frank Emmert-Streib, Herbert Jodlbauer, Matthias Dehmer:
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing. - Hagit Grushka-Cohen, Raphael Cohen, Bracha Shapira, Jacob Moran-Gilad, Lior Rokach:
A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach. - Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan, Manoranjan Paul:
Towards Domain-Specific Characterization of Misinformation. - Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner:
Face2Face: Real-time Face Capture and Reenactment of RGB Videos. - Cédric Picron, Punarjay Chakravarty, Tom Roussel, Tinne Tuytelaars:
What My Motion tells me about Your Pose: Self-Supervised Fine-Tuning of Observed Vehicle Orientation Angle. - Anirban Dasgupta, Srijan Sengupta:
Scalable Estimation of Epidemic Thresholds via Node Sampling. - Matthew Fishman, Steven R. White, E. Miles Stoudenmire:
The ITensor Software Library for Tensor Network Calculations. - Marek Havrda, Bogdana Rakova:
Enhanced well-being assessment as basis for the practical implementation of ethical and rights-based normative principles for AI. - Tristram Bogart, Anna-Lena Horlemann-Trautmann, David A. Karpuk, Alessandro Neri, Mauricio Velasco:
Constructing Partial MDS Codes from Reducible Curves. - Richard Savery, Gil Weinberg:
A Survey of Robotics and Emotion: Classifications and Models of Emotional Interaction. - Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng:
Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling. - Ning Yang, Richard Savery, Raghavasimhan Sankaranarayanan, Lisa Zahray, Gil Weinberg:
Mechatronics-Driven Musical Expressivity for Robotic Percussionists. - Songnan Bai, Shixin Tan, Pakpong Chirarattananon:
SplitFlyer: a Modular Quadcoptor that Disassembles into Two Flying Robots. - L. Wesley Passos, Eduardo A. B. da Silva, Sergio L. Netto, Gabriel M. Araujo, Amaro A. de Lima:
Spatio-temporal Consistency to Detect Potential Aedes aegypti Breeding Grounds in Aerial Video Sequences. - Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur:
How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs. - Yuting Chen, Liqi Wang, Shixin Zhu:
On the constructions of n-cycle permutations. - Anjukan Kathirgamanathan, Mattia De Rosa, Eleni E. Mangina, Donal Patrick Finn:
Data-driven Predictive Control for Unlocking Building Energy Flexibility: A Review. - Lucas F. F. Cardoso, Vitor C. A. Santos, Regiane S. K. Francês, Ricardo B. C. Prudêncio, Ronnie C. O. Alves:
Decoding machine learning benchmarks. - Roman Engelhardt, Florian Dandl, Klaus Bogenberger:
Speed-up Heuristic for an On-Demand Ride-Pooling Algorithm. - Zhongang Cai, Junzhe Zhang, Daxuan Ren, Cunjun Yu, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Chen Change Loy:
MessyTable: Instance Association in Multiple Camera Views. - Heng Xie, Xinyu Cai, Pakpong Chirarattananon:
Towards Cooperative Transport of a Suspended Payload via Two Aerial Robots with Inertial Sensing. - Zohreh Raziei, Reza Tavakkoli-Moghaddam, Siavash Tabrizian:
Performance Analysis of Meta-heuristic Algorithms for a Quadratic Assignment Problem. - Milagros Miceli, Martin Schuessler, Tianling Yang:
Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision. - Anirudh Paranjothi, Mohammad S. Khan, Sherali Zeadally:
Survey on Congestion Detection and Control in Connected Vehicles. - Sunwoo Kim, Jooho Wang, Youngho Seo, Sanghun Lee, Yeji Park, Sungkyung Park, Chester Sungchung Park:
Transaction-level Model Simulator for Communication-Limited Accelerators. - Yi-Jun Chang, Thatchaphol Saranurak:
Deterministic Distributed Expander Decomposition and Routing with Applications in Distributed Derandomization. - Rui Li, Jianlin Su, Chenxi Duan, Shunyi Zheng:
Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation. - Yuhe Huang, Bo Jiang, Wing Kwong Chan:
EOSFuzzer: Fuzzing EOSIO Smart Contracts for Vulnerability Detection. - Federico Bianchi, Jacopo Tagliabue, Bingqing Yu, Luca Bigon, Ciro Greco:
Fantastic Embeddings and How to Align Them: Zero-Shot Inference in a Multi-Shop Scenario. - Soham Poddar, Mainack Mondal, Saptarshi Ghosh:
A Survey on Disaster: Understanding the After-effects of Super-cyclone Amphan and Helping Hand of Social Media. - Prakhar Kulshreshtha, Tanaya Guha:
Dynamic Character Graph via Online Face Clustering for Movie Analysis. - Zhili Chen, Xin Chen:
Secure Computation Framework for Multiple Data Providers Against Malicious Adversaries. - Enka Blanchard, Ted Selker, Alan T. Sherman:
Boardroom Voting: Verifiable Voting with Ballot Privacy Using Low-Tech Cryptography in a Single Room. - James O'Neill, Greg Ver Steeg, Aram Galstyan:
Compressing Deep Neural Networks via Layer Fusion. - Thomas Buhl Andersen, Rógvi Eliasen, Mikkel Jarlund, Bin Yang:
Force myography benchmark data for hand gesture recognition and transfer learning. - Dariusz Brzezinski:
Fibonacci and k-Subsecting Recursive Feature Elimination. - Swati Bhardwaj, Madhu Raka:
Two Dimensional (α, β)-Constacyclic Codes of arbitrary length over a Finite Field. - Thomas M. Roehr, Daniel Harnack, Hendrik Wöhrle, Felix Wiebe, Moritz Schilling, Oscar Lima, Malte Langosz, Shivesh Kumar, Sirko Straube, Frank Kirchner:
A Development Cycle for Automated Self-Exploration of Robot Behaviors. - Mirko Lai, Viviana Patti, Giancarlo Ruffo, Paolo Rosso:
#Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection. - Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar, Cordelia Schmid:
Learning Video Representations from Textual Web Supervision. - Congshan Fan, Tiankui Zhang, Yuanwei Liu, Zhiming Zeng:
Cache-enabled HetNets with Limited Backhaul: A Stochastic Geometry Model. - Andrea De Maio, Simon Lacroix:
Simultaneously Learning Corrections and Error Models for Geometry-based Visual Odometry Methods. - Roman Mühlberger, Stefan Bachhofner, Eduardo Castelló Ferrer, Claudio Di Ciccio, Ingo Weber, Maximilian Wöhrer, Uwe Zdun:
Foundational Oracle Patterns: Connecting Blockchain to the Off-chain World. - Dewi Yokelson:
Advancing Visual Specification of Code Requirements for Graphs. - Alireza Partovi, Taeho Jung, Hai Lin:
Opacity of Discrete Event Systems with Active Intruder. - David Borland, Jonathan Zhang, Smiti Kaul, David Gotz:
Selection Bias-Corrected Visualization via Dynamic Reweighting. - Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney:
Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm. - Kai Steverson, Jonathan M. Mullin, Metin B. Ahiskali:
Adversarial Robustness for Machine Learning Cyber Defenses Using Log Data. - Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francis Ferraro, Cynthia Matuszek:
Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning. - Yingjian Wu, Haochen Pan, Saptaparni Kumar, Lewis Tseng:
Reliable Broadcast in Practical Networks: Algorithm and Evaluation. - Santiago Toledo-Cortés, Melissa De La Pava, Oscar J. Perdomo, Fabio A. González:
Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification. - Garrett Gu, Hovav Shacham:
Return-Oriented Programming in RISC-V. - Xing Shi, Chao Wang:
Aggregate Analytic Window Query over Spatial Data. - Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Gerardo González-Seco, Miguel Ángel Veganzones, Francisco Herrera:
Dynamic Federated Learning Model for Identifying Adversarial Clients. - Cheikh Latyr Fall, Ulysse Côté Allard, Quentin Mascret, Alexandre Campeau-Lecours, Mounir Boukadoum, Clément Gosselin, Benoit Gosselin:
A Flexible and Modular Body-Machine Interface for Individuals Living with Severe Disabilities. - Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother:
Generative Classifiers as a Basis for Trustworthy Computer Vision. - Amir Behjat, Manaswin Oddiraju, Mohammad Ali Attarzadeh, Mostafa Nouh, Souma Chowdhury:
Metamodel Based Forward and Inverse Design for Passive Vibration Suppression. - Sébastien Loisel:
Efficient algorithms for solving the p-Laplacian in polynomial time. - Krzysztof Kutt, Dominika Drazyk, Maciej Szelazek, Szymon Bobek, Grzegorz J. Nalepa:
The BIRAFFE2 Experiment. Study in Bio-Reactions and Faces for Emotion-based Personalization for AI Systems. - Joren Vanherck, Bart Sorée, Wim Magnus:
Tanh-sinh quadrature for single and multiple integration using floating-point arithmetic. - Humphrey Yang, Kuanren Qian, Haolin Liu, Yuxuan Yu, Jianzhe Gu, Matthew McGehee, Yongjie Jessica Zhang, Lining Yao:
SimuLearn: Fast and Accurate Simulator to Support Morphing Materials Design and Workflows. - Jiayuan Ding, Mayank Kejriwal:
An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction. - Ashis Pati, Siddharth Gururani, Alexander Lerch:
dMelodies: A Music Dataset for Disentanglement Learning. - Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A. Efros, Jingwan Lu:
Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild. - Bahare Salmani, Joost-Pieter Katoen:
Bayesian Inference by Symbolic Model Checking. - Xin Dong, Yaxin Zhu, Yupeng Zhang, Zuohui Fu, Dongkuan Xu, Sen Yang, Gerard de Melo:
Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification. - Daniel O. Martínez-Rivillas, Ruy J. G. B. de Queiroz:
Towards a Homotopy Domain Theory (HoDT). - Diyah Puspitaningrum:
Improving Performance of Relation Extraction Algorithm via Leveled Adversarial PCNN and Database Expansion. - Günes Kurt, Mohammad G. Khoshkholgh, Safwan Alfattani, Ahmed Ibrahim, Tasneem S. J. Darwish, Md. Sahabul Alam, Halim Yanikomeroglu, Abbas Yongaçoglu:
A Vision and Framework for the High Altitude Platform Station (HAPS) Networks of the Future. - Gilberto O. Corrêa, Marlon M. López-Flores:
Robust Linear Estimation with Non-parametric Uncertainty: Average and Worst-case Performance. - Diyah Puspitaningrum, Julio Fernando, Edo Afriando, Ferzha Putra Utama, Rina Rahmadini, Y. Pinata:
Finding Local Experts for Dynamic Recommendations Using Lazy Random Walk. - Jose Saldana, Julián Fernández-Navajas, José Ruíz-Mas, Luis Sequeira, Luis Casadesus:
Comparison of Multiplexing Policies for FPS Games in terms of Subjective Quality. - Sergey Pupyrev:
Book Embeddings of Graph Products. - Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval. - Diyah Puspitaningrum:
Social Influences in Recommendation Systems. - Mushu Li, Nan Cheng, Jie Gao, Yinlu Wang, Lian Zhao, Xuemin Shen:
Energy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization. - Mo Shan, Qiaojun Feng, Nikolay Atanasov:
OrcVIO: Object residual constrained Visual-Inertial Odometry. - Pasquale Antonante, Vasileios Tzoumas, Heng Yang, Luca Carlone:
Outlier-Robust Estimation: Hardness, Minimally-Tuned Algorithms, and Applications. - Zhe Xu, Bo Wu, Ufuk Topcu:
Control Strategies for COVID-19 Epidemic with Vaccination, Shield Immunity and Quarantine: A Metric Temporal Logic Approach. - Nayara Aguiar, Vijay Gupta:
An Insurance Contract Design to Boost Storage Participation in the Electricity Market. - Arjun Roy, Pavlos Fafalios, Asif Ekbal, Xiaofei Zhu, Stefan Dietze:
Exploiting stance hierarchies for cost-sensitive stance detection of Web documents. - You-Yi Jau, Rui Zhu, Hao Su, Manmohan Chandraker:
Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints. - Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander:
Foveation for Segmentation of Ultra-High Resolution Images. - Argyrios Deligkas, Aris Filos-Ratsikas, Alexandros Hollender:
Two's Company, Three's a Crowd: Consensus-Halving for a Constant Number of Agents. - Milijana Surbatovich, Limin Jia, Brandon Lucia:
Towards a Formal Foundation of Intermittent Computing. - Mou-Cheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob:
Learning To Pay Attention To Mistakes. - Masoud Akbarzadeh, Márton Hablicsek:
Algebraic 3D Graphic Statics: Constrained Areas. - Hao Zhu, Yonatan Bisk, Graham Neubig:
The Return of Lexical Dependencies: Neural Lexicalized PCFGs. - Yoshua Bengio:
Deriving Differential Target Propagation from Iterating Approximate Inverses. - Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey, Pierre Le Bodic:
Computing Optimal Decision Sets with SAT. - Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Connor Greenwell, Nathan Jacobs:
Single Image Cloud Detection via Multi-Image Fusion. - Yixiao Lan, Yuan Liu, Boyang Li:
Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains. - Jayaram Raghuram, Varun Chandrasekaran, Somesh Jha, Suman Banerjee:
Detecting Anomalous Inputs to DNN Classifiers By Joint Statistical Testing at the Layers. - Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha:
Fully Dynamic Inference with Deep Neural Networks. - Otávio O. Napoli, Vanderson Martins do Rosario, João Paulo Navarro, Pedro Mário Cruz e Silva, Edson Borin:
Accelerating Multi-attribute Unsupervised Seismic Facies Analysis With RAPIDS. - Divya Gopinath, Monica Agrawal, Luke S. Murray, Steven Horng, David R. Karger, David A. Sontag:
Fast, Structured Clinical Documentation via Contextual Autocomplete. - Qian-Ping Gu, Jiajian Leo Liang, Guochuan Zhang:
Approximate Ridesharing of Personal Vehicles Problem. - Xingchen Zhang:
Benchmarking and Comparing Multi-exposure Image Fusion Algorithms. - Yu Xiang, Christopher Xie, Arsalan Mousavian, Dieter Fox:
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation. - Tomokaze Shiratori, Ken Kobayashi, Yuichi Takano:
Prediction of hierarchical time series using structured regularization and its application to artificial neural networks. - Nguyen Huu Phong, Bernardete Ribeiro:
Rethinking Recurrent Neural Networks and other Improvements for Image Classification. - Nguyen Huu Phong, Bernardete Ribeiro:
An Improvement for Capsule Networks using Depthwise Separable Convolution. - Roman Ibrahimov, Nikolay Zherdev, Dzmitry Tsetserukou:
DroneLight: Drone Draws in the Air using Long Exposure Light Painting and ML. - Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Domain Adaptive Semantic Segmentation Using Weak Labels. - Qianwen Wang, Zhenhua Xu, Zhutian Chen, Yong Wang, Shixia Liu, Huamin Qu:
Visual Analysis of Discrimination in Machine Learning. - Huimin Fu, Yang Xu, Jun Liu, Guanfeng Wu, Geoff Sutcliffe:
Improving probability selecting based weights for Satisfiability Problem. - Guangyin Jin, Zhexu Xi, Hengyu Sha, Yanghe Feng, Jincai Huang:
Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction. - Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely:
Crowdsampling the Plenoptic Function. - Mónica Ribero, Haris Vikalo:
Communication-Efficient Federated Learning via Optimal Client Sampling. - Vijay Menon, Kate Larson:
Algorithmic Stability in Fair Allocation of Indivisible Goods Among Two Agents. - Rui Li, Jianbo Yang, Xianguo Tuo, Rui Shi:
Research on Fitness Function of Tow Evolution Algorithms Using for Neutron Spectrum Unfolding. - Shayne Longpre, Yi Lu, Joachim Daiber:
MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering. - Prateek Bansal:
Matlab-Vissim Interface for online optimization of Green Time splits. - Amanuel Alambo, Manas Gaur, Krishnaprasad Thirunarayan:
Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak. - Victor Dibia:
NeuralQA: A Usable Library for Question Answering (Contextual Query Expansion + BERT) on Large Datasets. - Deepti Gupta, Olumide Kayode, Smriti Bhatt, Maanak Gupta, Ali Saman Tosun:
Learner's Dilemma: IoT Devices Training Strategies in Collaborative Deep Learning. - Yuexi Zhang, Yin Wang, Octavia I. Camps, Mario Sznaier:
Key Frame Proposal Network for Efficient Pose Estimation in Videos. - Harsh Bhatia, Duong Hoang, Garrett Morrison, Will Usher, Valerio Pascucci, Peer-Timo Bremer, Peter Lindstrom:
AMM: Adaptive Multilinear Meshes. - Ilias Diakonikolas, Daniel M. Kane, Pasin Manurangsi:
The Complexity of Adversarially Robust Proper Learning of Halfspaces with Agnostic Noise. - Quoc-Viet Pham, Dinh C. Nguyen, Seyedali Mirjalili, Dinh Thai Hoang, Diep N. Nguyen, Pubudu N. Pathirana, Won-Joo Hwang:
Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications. - Mahdi Nazemi, Amirhossein Esmaili, Arash Fayyazi, Massoud Pedram:
SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning. - Bowen Yi, Romeo Ortega:
Conditions for Convergence of Dynamic Regressor Extension and Mixing Parameter Estimator Using LTI Filters. - Wei Chen, Yating Wei, Zhiyong Wang, Shuyue Zhou, Bingru Lin, Zhiguang Zhou:
Federated Visualization: A Privacy-preserving Strategy for Decentralized Visualization. - Rubing Huang, Weifeng Sun, Tsong Yueh Chen, Sebastian Ng, Jinfu Chen:
Identification of Failure Regions for Programs with Numeric Inputs. - Kaushlendra Pandey, Abhishek K. Gupta:
kth Distance Distributions of n-Dimensional Matérn Cluster Process. - Guillermo A. Martínez-Mascorro, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín:
Detecting Suspicious Behavior: How to Deal with Visual Similarity through Neural Networks. - Andrés Villa, Vladimir Araujo, Francisca Cattan, Denis Parra:
Interpretable Contextual Team-aware Item Recommendation: Application in Multiplayer Online Battle Arena Games. - Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, Li Cheng:
Action2Motion: Conditioned Generation of 3D Human Motions. - Zhengxu Yu, Pengfei Wang, Junkai Xu, Liang Xie, Zhongming Jin, Jianqiang Huang, Xiaofei He, Deng Cai, Xian-Sheng Hua:
Stable Learning via Causality-based Feature Rectification. - Hwangpil Park, Ri Yu, Yoonsang Lee, Kyungho Lee, Jehee Lee:
Understanding the Stability of Deep Control Policies for Biped Locomotion. - Guohao Yu, Alina Zare, Weihuang Xu, Roser Matamala, Joel Reyes-Cabrera, Felix B. Fritschi, Thomas E. Juenger:
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM. - Mahdi Davoodikakhki, KangKang Yin:
Hierarchical Action Classification with Network Pruning. - Annabelle McIver, Carroll Morgan:
Correctness by construction for probabilistic programs. - Nandan Kumar Jha, Sparsh Mittal, Binod Kumar, Govardhan Mattela:
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs. - Yannic Maus, Tigran Tonoyan:
Local Conflict Coloring Revisited: Linial for Lists. - Hoang Dau, Dinh Thi Xinh, Han Mao Kiah, Tran Thi Luong, Olgica Milenkovic:
Repairing Reed-Solomon Codes via Subspace Polynomials. - Frank Havemann:
Topics as Clusters of Citation Links to Highly Cited Sources: The Case of Research on International Relations. - Terrance DeVries, Michal Drozdzal, Graham W. Taylor:
Instance Selection for GANs. - Balázs Kovács, Buyang Li, Christian Lubich:
A convergent evolving finite element algorithm for Willmore flow of closed surfaces. - Kazuya Nishimura, Junya Hayashida, Chenyang Wang, Dai Fei Elmer Ker, Ryoma Bise:
Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation. - Luca Serena, Gabriele D'Angelo, Stefano Ferretti:
Implications of Dissemination Strategies on the Security of Distributed Ledgers. - Liang Ding, Weimin Han:
A projected gradient method for α𝓁1-β𝓁2 sparsity regularization. - Xiaoyu Xiang, Yang Cheng, Shaoyuan Xu, Qian Lin, Jan P. Allebach:
The Blessing and the Curse of the Noise behind Facial Landmark Annotations. - G. Roshan Lal, Sahin Cem Geyik, Krishnaram Kenthapadi:
Fairness-Aware Online Personalization. - Mattia Bonomi, Cecilia Pasquini, Giulia Boato:
Dynamic texture analysis for detecting fake faces in video sequences. - Xumeng Wang, Wei Chen, Jiazhi Xia, Zexian Chen, Dongshi Xu, Xiangyang Wu, Mingliang Xu, Tobias Schreck:
ConceptExplorer: Visual Analysis of Concept Driftsin Multi-source Time-series Data. - Yuhao Huang, Xin Yang, Rui Li, Jikuan Qian, Xiaoqiong Huang, Wenlong Shi, Haoran Dou, Chaoyu Chen, Yuanji Zhang, Huanjia Luo, Alejandro Frangi, Yi Xiong, Dong Ni:
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound. - Jichuan Zeng, Xi Victoria Lin, Caiming Xiong, Richard Socher, Michael R. Lyu, Irwin King, Steven C. H. Hoi:
Photon: A Robust Cross-Domain Text-to-SQL System. - Moayad Aloqaily, Ouns Bouachir, Azzedine Boukerche, Ismaeel Al Ridhawi:
Design Guidelines for Blockchain-Assisted 5G-UAV Networks. - Yi Zeng, Han Qiu, Gérard Memmi, Meikang Qiu:
A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks. - Ye Bi, Liqiang Song, Mengqiu Yao, Zhenyu Wu, Jianming Wang, Jing Xiao:
A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users. - Paul Tardy, Louis de Seynes, François Hernandez, Vincent Nguyen, David Janiszek, Yannick Estève:
Leverage Unlabeled Data for Abstractive Speech Summarization with Self-Supervised Learning and Back-Summarization. - Marcus Hutter:
On Representing (Anti)Symmetric Functions. - Emilio Cruciani, Hlafo Alfie Mimun, Matteo Quattropani, Sara Rizzo:
Phase Transitions of the k-Majority Dynamics in a Biased Communication Model. - Yoojin Oh, Shao-Wen Wu, Marc Toussaint, Jim Mainprice:
Natural Gradient Shared Control. - Junyu Lin, Lei Xu, Yingqi Liu, Xiangyu Zhang:
Black-box Adversarial Sample Generation Based on Differential Evolution. - Hoseok Ryu, Minseok Kim, Seunghwan Lee, Moon Seok Park, Kyoung-Min Lee, Jehee Lee:
Functionality-Driven Musculature Retargeting. - Xiaohu Wu, Francesco De Pellegrini, Giuliano Casale:
Delay and Price Differentiation in Cloud Computing: A Service Model, Supporting Architectures, and Performance. - Minghui Yang, Keqin Feng:
Determination of 2-Adic Complexity of Generalized Binary Sequences of Order 2. - Yukai Lin, Viktor Larsson, Marcel Geppert, Zuzana Kukelova, Marc Pollefeys, Torsten Sattler:
Infrastructure-based Multi-Camera Calibration using Radial Projections. - Manfred Scheucher:
Many Order Types on Integer Grids of Polynomial Size. - Andrey A. Chupakhin, Alexey Kolosov, Ruslan L. Smeliansky, Vitaly A. Antonenko, Gleb Ishelev:
New approach to MPI program execution time prediction. - Lizhen Wang, Xiaochen Zhao, Tao Yu, Songtao Wang, Yebin Liu:
NormalGAN: Learning Detailed 3D Human from a Single RGB-D Image. - Ramon Ferrer-i-Cancho, Carlos Gómez-Rodríguez, Juan Luis Esteban, Lluís Alemany-Puig:
The optimality of syntactic dependency distances. - (Withdrawn) Who Is Charging My Phone? Identifying Wireless Chargers via Fingerprinting.
- H. S. Ruiz, A. Sunarso, K. Ibrahim-bathis, S. A. Murti, I. Budiarto:
GIS-AHP Multi-Decision-Criteria-Analysis for the Optimal Location of Solar Energy Plants at Indonesia. - Xin Yuan, Pedro Savarese, Michael Maire:
Growing Efficient Deep Networks by Structured Continuous Sparsification. - Gustavo Penha, Claudia Hauff:
What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation. - Azusa Sawada, Eiji Kaneko, Kazutoshi Sagi:
Trade-offs in Top-k Classification Accuracies on Losses for Deep Learning. - Thomas Bläsius, Simon D. Fink, Ignaz Rutter:
Synchronized Planarity with Applications to Constrained Planarity Problems. - Idelkys Quintana Ramírez, Jose Saldana, José Ruíz-Mas, Julián Fernández-Navajas, Luis A. Casadesus Pazos, Luis Sequeira:
Influencia del Buffer del Router en la Distribucíon de Video P2P-TV. - Jose Saldana, Luis Sequeira, Julián Fernández-Navajas, José Ruíz-Mas:
Traffic Optimization for TCP-based Massive Multiplayer Online Games. - Maxime Petit, Emmanuel Dellandréa, Liming Chen:
Bayesian Optimization for Developmental Robotics with Meta-Learning by Parameters Bounds Reduction. - Mahsa Forouzesh, Farnood Salehi, Patrick Thiran:
Generalization Comparison of Deep Neural Networks via Output Sensitivity. - Koki Takeshita, Juntaro Shioyama, Seiichi Uchida:
Label or Message: A Large-Scale Experimental Survey of Texts and Objects Co-Occurrence. - Rahman Salim Zengin, Volkan Sezer:
A Novel Point Inclusion Test for Convex Polygons Based on Voronoi Tessellations. - Katharina Ott, Prateek Katiyar, Philipp Hennig, Michael Tiemann:
When are Neural ODE Solutions Proper ODEs? - Dong-Ting Li, Rui-Qi Dong, Ai-Guo Wu:
Sampling-based 3-D Line-of-Sight PWA Model Predictive Control for Autonomous Rendezvous and Docking with a Tumbling Target. - Andrés García-Camino:
Social Choice Optimization. - Sebastian Pineda-Arango, David Obando-Paniagua, Alperen Dedeoglu, Philip Kurzendörfer, Friedemann Schestag, Randolf Scholz:
Improving Sample Efficiency with Normalized RBF Kernels. - Eslam A. Hussein, Mehrdad Ghaziasgar, Christopher Thron:
Regional Rainfall Prediction Using Support Vector Machine Classification of Large-Scale Precipitation Maps. - Idelkys Quintana Ramírez, Anthony Tsiopoulos, Maria A. Lema, Fragkiskos Sardis, Luis Sequeira, James Arias, Aravindh Raman, Ali Azam, Mischa Dohler:
The Making of 5G: Building an End-to-End 5G-Enabled System. - Xi Chen, Wei Zeng, Yanna Lin, Hayder Mahdi Al-Maneea, Jonathan C. Roberts, Remco Chang:
Composition and Configuration Patterns in Multiple-View Visualizations. - Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach:
Evolving Context-Aware Recommender Systems With Users in Mind. - Mai Gehrke, Tomas Jakl, Luca Reggio:
A Cook's tour of duality in logic: from quantifiers, through Vietoris, to measures. - Bowen Weng, Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang:
Momentum Q-learning with Finite-Sample Convergence Guarantee. - Quoc-Viet Pham, Nhu-Ngoc Dao, Thien Huynh-The, Jun Zhao, Won-Joo Hwang:
Clustering and Power Allocation for UAV-assisted NOMA-VLC Systems: A Swarm Intelligence Approach. - Diego S. Carrasco, Graham C. Goodwin:
A Nonlinear Dynamic Boiler Model accounting for Highly Variable Load Conditions. - Lei Wang, Christopher M. Kellett:
Robust Output Feedback Stabilization of MIMO Invertible Nonlinear Systems with Output-Dependent Multipliers (extended version). - Ali Hamdi, Du Yong Kim, Flora D. Salim:
grid2vec: Learning Efficient Visual Representations via Flexible Grid-Graphs. - Alexander Kumpf, Josef Stumpfegger, Patrick Fabian Härtl, Rüdiger Westermann:
Visual Analysis of Multi-Parameter Distributions across Ensembles. - Bastien Maubert, Aniello Murano, Olivier Serre:
Reasoning about strategies on collapsible pushdown arenas with imperfect information. - Gangfeng Yan, Khalid Abidi:
A Practical Application of Sliding Mode Control in the Motion Control of a High Precision Piezoelectric Motor. - Roland R. Ramsahai:
Connecting actuarial judgment to probabilistic learning techniques with graph theory. - Anthony W. Lin, Rupak Majumdar:
Quadratic Word Equations with Length Constraints, Counter Systems, and Presburger Arithmetic with Divisibility. - Qiao Lan, Yuqing Du, Petar Popovski, Kaibin Huang:
Capacity of Remote Classification Over Wireless Channels. - Nihar Bendre, Hugo Terashima-Marín, Peyman Najafirad:
Learning from Few Samples: A Survey. - Wei Zeng, Chengqiao Lin, Juncong Lin, Jincheng Jiang, Jiazhi Xia, Cagatay Turkay, Wei Chen:
Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics. - Mingmei Cheng, Le Hui, Jin Xie, Jian Yang, Hui Kong:
Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation. - Felix Ernesti, Matti Schneider, Steffen Winter, Daniel Hug, Günter Last, Thomas Böhlke:
Characterizing digital microstructures by the Minkowski-based quadratic normal tensor. - Justin Singh Kang, Wei Yu:
Minimum Feedback for Collision-Free Scheduling in Massive Random Access. - Omar Lakkis, Amireh Mousavi:
A least-squares Galerkin gradient recovery method for fully nonlinear elliptic equations. - Tyler Zhu, Per Karlsson, Christoph Bregler:
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data. - Dong Wang, Bo Jiang, W. K. Chan:
WANA: Symbolic Execution of Wasm Bytecode for Cross-Platform Smart Contract Vulnerability Detection. - Amir Mohammadzadeh, Babak Tavassoli, B. Moaveni:
Simultaneous Estimation of State and Packet-Loss Occurrences in Networked Control Systems. - Longbing Cao:
In-Depth Behavior Understanding and Use: The Behavior Informatics Approach. - Alexander Skopalik, Vipin Ravindran Vijayalakshmi:
Improving approximate pure Nash equilibria in congestion games. - Morteza Babaie, Hany Kashani, Meghana Dinesh Kumar, Hamid R. Tizhoosh:
A new Local Radon Descriptor for Content-Based Image Search. - Zheng Li, Yang Zhang:
Label-Leaks: Membership Inference Attack with Label. - Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark J. Coates:
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting. - Edward Laughton, Gavin R. Tabor, David Moxey:
A comparison of interpolation techniques for non-conformal high-order discontinuous Galerkin methods. - Ouri Poupko, Nimrod Talmon:
Sybil Resilient Money Minting. - Filippo Gabriele Pratticò, Fabrizio Lamberti:
Mixed-Reality Robotic Games: Design Guidelines for Effective Entertainment with Consumer Robots. - Kento Doi, Ryuhei Hamaguchi, Shun Iwase, Rio Yokota, Yutaka Matsuo, Ken Sakurada:
Epipolar-Guided Deep Object Matching for Scene Change Detection. - Fadhel Ayed, Lorenzo Stella, Tim Januschowski, Jan Gasthaus:
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models. - Prasoon Goyal, Scott Niekum, Raymond J. Mooney:
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards. - Yi Zhou, Guillermo Gallego, Shaojie Shen:
Event-based Stereo Visual Odometry. - Clifford Seth Parker, William Brent Seales, Pnina Shor:
Quantitative Distortion Analysis of Flattening Applied to the Scroll from En-Gedi. - Quang Pham, Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi:
Bilevel Continual Learning. - Yacine Khraimeche, Guillaume-Alexandre Bilodeau, David Steele, Harshad Mahadik:
Unsupervised Disentanglement GAN for Domain Adaptive Person Re-Identification. - Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang:
Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence. - Aziz Kocanaogullari, Murat Akçakaya, Deniz Erdogmus:
Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry. - Jinlong Peng, Yueyang Gu, Yabiao Wang, Chengjie Wang, Jilin Li, Feiyue Huang:
Dense Scene Multiple Object Tracking with Box-Plane Matching. - Longqi Yang, Sonia Jaffe, David Holtz, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joyce, Neha Shah, Kevin Sherman, Chia-Jung Lee, Brent J. Hecht, Jaime Teevan:
How Work From Home Affects Collaboration: A Large-Scale Study of Information Workers in a Natural Experiment During COVID-19. - Mohammed Elhenawy, Md. Mostafizur Rahman Komol, Huthaifa I. Ashqar, Mohammed Hamad Almannaa, Mahmoud Masoud, Hesham A. Rakha, Andry Rakotonirainy:
Developing a Novel Crowdsourcing Business Model for Micro-Mobility Ride-Sharing Systems: Methodology and Preliminary Results. - Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller:
Data-efficient Hindsight Off-policy Option Learning. - Aravindan Vijayaraghavan:
Efficient Tensor Decomposition. - Jiazhi Xia, Tianxiang Chen, Lei Zhang, Wei Chen, Yang Chen, Xiaolong Zhang, Cong Xie, Tobias Schreck:
SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization. - Yin-Bo Liu, Ming Zeng, Qing-Hao Meng:
Heatmap-based Vanishing Point boosts Lane Detection. - Jianbang Liu, Aristarchus Gnanasekar, Yi Zhang, Song Bo, Jinfeng Liu, Jingtao Hu, Tao Zou:
Simultaneous state and parameter estimation: the role of sensitivity analysis. - He Huang, Yuanwei Chen, Wei Tang, Wenhao Zheng, Qing-Guo Chen, Yao Hu, Philip S. Yu:
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge. - Tobias Reinhard:
A Core Calculus for Static Latency Tracking with Placement Types. - Tushar Goswamy, Naishadh Parmar, Ayush Gupta, Vatsalya Tandon, Raunak Shah, Varun Goyal, Sanyog Gupta, Karishma Laud, Shivam Gupta, Sudhanshu Mishra, Ashutosh Modi:
AI-based Monitoring and Response System for Hospital Preparedness towards COVID-19 in Southeast Asia. - Dan Bareket, Reut Tsarfaty:
Neural Modeling for Named Entities and Morphology (NEMO^2). - Nicolai Häni, Selim Engin, Jun-Jee Chao, Volkan Isler:
Unsupervised Continuous Object Representation Networks for Novel View Synthesis. - Tushar Goswamy, Vatsalya Tandon, Naishadh Parmar, Raunak Shah, Ayush Gupta:
IIT Kanpur Consulting Group: Using Machine Learning and Management Consulting for Social Good. - Namdar Homayounfar, Yuwen Xiong, Justin Liang, Wei-Chiu Ma, Raquel Urtasun:
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation. - Ralph Foorthuis:
On the Nature and Types of Anomalies: A Review. - David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba:
Rewriting a Deep Generative Model. - Furkan Ercan, Warren J. Gross:
Fast Thresholded SC-Flip Decoding of Polar Codes. - Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, Angjoo Kanazawa:
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild. - Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu:
Contrastive Learning for Unpaired Image-to-Image Translation. - Thomas Lowe, Peyman Moghadam, Everard J. Edwards, Jason L. Williams:
Canopy Density Estimation in Perennial Horticulture Crops Using 3D Spinning LiDAR SLAM. - Oliver Kosut:
A Second-Order Converse Bound for the Multiple-Access Channel via Wringing Dependence. - Bochen Tan, Jason Cong:
Optimal Layout Synthesis for Quantum Computing. - Wei Peng, Jingang Shi, Zhaoqiang Xia, Guoying Zhao:
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition. - Elad Michael, Daniel Zelazo, Tony A. Wood, Chris Manzie, Iman Shames:
Optimization with Zeroth-Order Oracles in Formation. - Matej Martinc, Blaz Skrlj, Sergej Pirkmajer, Nada Lavrac, Bojan Cestnik, Martin Marzidovsek, Senja Pollak:
COVID-19 therapy target discovery with context-aware literature mining. - Xinru Yang, Haozhi Qi, Mingyang Li, Alexander G. Hauptmann:
From A Glance to "Gotcha": Interactive Facial Image Retrieval with Progressive Relevance Feedback. - Carlos E. M. dos Anjos, Manuel R. V. Avila, Adna G. P. Vasconcelos, Aurea M. P. Neta, Lizianne C. Medeiros, Alexandre G. Evsukoff, Rodrigo Surmas:
Deep learning for lithological classification of carbonate rock micro-CT images. - Simeng Zheng, Yi Liu, Paul H. Siegel:
PR-NN: RNN-based Detection for Coded Partial-Response Channels. - Dusko Pavlovic:
Logic of fusion. - Mihaela Gaman, Radu Tudor Ionescu:
The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect Identification. - Terence X. Lim, Sidney Tio, Desmond C. Ong:
Improving Multi-Agent Cooperation using Theory of Mind. - Jorge C. Lucero:
A note on the class of languages generated by F-systems over regular languages. - Nikhil Bansal, Ilan Reuven Cohen:
An Asymptotic Lower Bound for Online Vector Bin Packing. - Mert Al, Semih Yagli, Sun-Yuan Kung:
Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies. - Daniel Bujosa, Inés Álvarez, Julián Proenza:
Description of the UPPAAL Models for SRP and CSRP and Verification of their Termination and Consistency Properties. - Francesco Regazzoni, Alfio Quarteroni:
An oscillation-free fully partitioned scheme for the numerical modeling of cardiac active mechanics. - Márton Hablicsek, Masoud Akbarzadeh, Yi Guo:
Algebraic 3D Graphic Statics: reciprocal constructions. - Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao:
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments. - Lening Li, Haoxiang Ma, Abhishek Ninad Kulkarni, Jie Fu:
Dynamic Hypergames for Synthesis of Deceptive Strategies with Temporal Logic Objectives. - Herbert L. Roitblat:
Is there something I'm missing? Topic Modeling in eDiscovery. - Xiaojie Wang:
Mean-square convergence rates of implicit Milstein type methods for SDEs with non-Lipschitz coefficients: applications to financial models. - Jeremy G. Hoskins, Vladimir Rokhlin:
On the inverse scattering problem for radially-symmetric domains in two dimensions. - Samer B. Nashed, Joydeep Biswas:
Curating Long-term Vector Maps. - Yannick Schulz, Avinash Kini Mattar, Thomas M. Hehn, Julian F. P. Kooij:
Hearing What You Cannot See: Acoustic Detection Around Corners. - Ebenezer Narh Odonkor, Willie K. Ofosu, Kingsley Nunoo:
Using GSM SMS controller alarm Configurator to develop cost effective, intelligent fire safety system in a developing country. - Tim Roughgarden, C. Seshadhri:
Distribution-Free Models of Social Networks. - Li Yang, Abdallah Shami:
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice. - Samer B. Nashed:
Laser2Vec: Similarity-based Retrieval for Robotic Perception Data. - Wen-Ping Tsai, Ming Pan, Kathryn Lawson, Jiangtao Liu, Dapeng Feng, Chaopeng Shen:
From parameter calibration to parameter learning: Revolutionizing large-scale geoscientific modeling with big data. - Parham Gohari, Franck Djeumou, Abraham P. Vinod, Ufuk Topcu:
Blending Controllers via Multi-Objective Bandits. - Darshan Venkatrayappa, Agnès Desolneux, Jean-Michel Hubert, Josselin Manceau:
Unidentified Floating Object detection in maritime environment using dictionary learning. - Scott Levy, Jedidiah R. Crandall:
The Program with a Personality: Analysis of Elk Cloner, the First Personal Computer Virus. - Jeremy G. Hoskins, Vladimir Rokhlin:
A fast adaptive algorithm for scattering from a two dimensional radially-symmetric potential. - Leo K. Tam, Xiaosong Wang, Evrim Turkbey, Kevin Lu, Yuhong Wen, Daguang Xu:
Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies. - Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing. - Cristina Garbacea, Qiaozhu Mei:
Neural Language Generation: Formulation, Methods, and Evaluation. - Baoxiong Jia, Yixin Chen, Siyuan Huang, Yixin Zhu, Song-Chun Zhu:
LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities. - Man-Kwun Chiu, Erik D. Demaine, Yevhenii Diomidov, David Eppstein, Robert A. Hearn, Adam Hesterberg, Matias Korman, Irene Parada, Mikhail Rudoy:
New Results in Sona Drawing: Hardness and TSP Separation. - Lichao Sun, Jianwei Qian, Xun Chen, Philip S. Yu:
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy. - Gangfeng Yan, Hang Jian Soo, Khalid Abidi, Jianxin Xu:
Inverse NN Modelling of a Piezoelectric Stage with Dominant Variable. - Umar Farooq, A. B. Siddique, Fuad T. Jamour, Zhijia Zhao, Vagelis Hristidis:
AARSynth: App-Aware Response Synthesis for User Reviews. - Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris:
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. - Yali Bian, John E. Wenskovitch, Chris North:
DeepVA: Bridging Cognition and Computation through Semantic Interaction and Deep Learning. - Jaehoon Lee, Samuel S. Schoenholz, Jeffrey Pennington, Ben Adlam, Lechao Xiao, Roman Novak, Jascha Sohl-Dickstein:
Finite Versus Infinite Neural Networks: an Empirical Study. - Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang:
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases. - He Shuang, Michelle Y. Wong, David Lie:
Using Context and Interactions to Verify User-Intended Network Requests. - Mohammad Saiedur Rahaman, Shaw Kudo, Tim Rawling, Yongli Ren, Flora D. Salim:
Seating preference analysis for hybrid workplaces. - Xiaofei Zhao:
Numerical integrators for continuous disordered nonlinear Schrödinger equation. - Thomas Dowdell, Hongyu Zhang:
Language Modelling for Source Code with Transformer-XL. - Weizhe Lin, Indigo Orton, Qingbiao Li, Gabriela Pavarini, Marwa Mahmoud:
Looking At The Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress. - Changlin Wan, Wennan Chang, Tong Zhao, Yong Zang, Sha Cao, Chi Zhang:
Denoising individual bias for a fairer binary submatrix detection. - Bo Gao, Michael W. Spratling:
Robust Template Matching via Hierarchical Convolutional Features from a Shape Biased CNN. - Yoshitomo Matsubara, Marco Levorato:
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks. - Ekim Yurtsever, Dongfang Yang, Ibrahim Mert Koç, Keith A. Redmill:
Blending Generative Adversarial Image Synthesis with Rendering for Computer Graphics. - Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang:
Geometric All-Way Boolean Tensor Decomposition. - Cristina Garbacea, Mengtian Guo, Samuel Carton, Qiaozhu Mei:
An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification. - Yali Bian, Michelle Dowling, Chris North:
Evaluating Semantic Interaction on Word Embeddings via Simulation. - Yaser Mansouri, Muhammad Ali Babar:
The Impact of Distance on Performance and Scalability of Distributed Database Systems in Hybrid Clouds. - Zezheng Feng, Haotian Li, Wei Zeng, Shuang-Hua Yang, Huamin Qu:
Topology Density Map for Urban Data Visualization and Analysis. - Yadan Luo, Zi Huang, Zijian Wang, Zheng Zhang, Mahsa Baktashmotlagh:
Adversarial Bipartite Graph Learning for Video Domain Adaptation. - Philipp V. Rouast, Hamid Heydarian, Marc T. P. Adam, Megan E. Rollo:
OREBA: A Dataset for Objectively Recognizing Eating Behaviour and Associated Intake. - Arpit Narechania, Ahsan Qamar, Alex Endert:
SafetyLens: Visual Data Analysis of Functional Safety of Vehicles. - Yaguan Qian, Ximin Zhang, Bin Wang, Wei Li, Zhaoquan Gu, Haijiang Wang, Wassim Swaileh:
TEAM: We Need More Powerful Adversarial Examples for DNNs. - Xucong Zhang, Seonwook Park, Thabo Beeler, Derek Bradley, Siyu Tang, Otmar Hilliges:
ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation. - Xing Li, Wei Wei, Xiangnan Feng, Xue Liu, Zhiming Zheng:
Representation Learning of Graphs Using Graph Convolutional Multilayer Networks Based on Motifs. - Samuel B. Hopkins, Jerry Li, Fred Zhang:
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization. - Zhao Zhang, Yan Zhang, Li Zhang, Shuicheng Yan:
A Survey on Concept Factorization: From Shallow to Deep Representation Learning. - Maxat Alibayev, David Paulius, Yu Sun:
Estimating Motion Codes from Demonstration Videos. - Baptiste Caramiaux, Marco Donnarumma:
Artificial Intelligence in Music and Performance: A Subjective Art-Research Inquiry. - Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Carlos A. Jaramillo:
A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions. - Sohaib Ahmad, Benjamin Fuller:
Resist : Reconstruction of irises from templates. - Teppei Suzuki, Keisuke Ozawa, Yusuke Sekikawa:
Rethinking PointNet Embedding for Faster and Compact Model. - Yichen Shen, Zhilu Zhang, Mert R. Sabuncu, Lin Sun:
Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision. - Pengcheng Li, Yongbin Gu:
Learning Forward Reuse Distance. - Hoa Van Nguyen, Fei Chen, Joshua Chesser, Hamid Rezatofighi, Damith Ranasinghe:
LAVAPilot: Lightweight UAV Trajectory Planner with Situational Awareness for Embedded Autonomy to Track and Locate Radio-tags. - Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee:
Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks. - Palashi Vaghela, Ramaravind Kommiya Mothilal, Joyojeet Pal:
Indian Political Twitter and Caste Discrimination - How Representation Does Not Equal Inclusion in Lok Sabha Networks. - Alan F. T. Winfield, Katie Winkle:
RoboTed: a case study in Ethical Risk Assessment. - Han Zhang:
Improving NER's Performance with Massive financial corpus. - Sina Sharif Mansouri, Christoforos Kanellakis, Björn Lindqvist, Farhad Pourkamali-Anaraki, Ali-akbar Agha-mohammadi, Joel Burdick, George Nikolakopoulos:
A Unified NMPC Scheme for MAVs Navigation with 3D Collision Avoidance under Position Uncertainty. - Pawel Szalachowski:
Password-authenticated Decentralized Identities. - Johannes Schmidt-Hieber:
The Kolmogorov-Arnold representation theorem revisited. - Taisuke Kobayashi:
Towards Deep Robot Learning with Optimizer applicable to Non-stationary Problems. - Satoshi Tanaka, François Bonnet, Sébastien Tixeuil, Yasumasa Tamura:
Quixo Is Solved. - Wenbo Tao, Xinli Hou, Adam Sah, Leilani Battle, Remco Chang, Michael Stonebraker:
Kyrix-S: Authoring Scalable Scatterplot Visualizations of Big Data. - Weitao Xu, Jin Zhang, Jun Young Kim, Walter Huang, Salil S. Kanhere, Sanjay K. Jha, Wen Hu, Prasant Misra:
A Novel Emergency Light Based Smart Building Solution: Design, Implementation and Use Cases. - Rui Wang, Georgios N. Selimis, Roel Maes, Sven Goossens:
Long-term continuous assessment of SRAM PUF and source of random numbers. - Aniek F. Markus, Jan A. Kors, Peter R. Rijnbeek:
The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies. - Justin van der Hout, Zoltán D'Haese, Mark Hasegawa-Johnson, Odette Scharenborg:
Evaluating Automatically Generated Phoneme Captions for Images. - Jan Philipp Thoma, Jakob Feldtkeller, Markus Krausz, Tim Güneysu, Daniel J. Bernstein:
BasicBlocker: Redesigning ISAs to Eliminate Speculative-Execution Attacks. - Maria Karatzoglidi, Georgios Felekis, Eleni Charou:
Neural Style Transfer for Remote Sensing. - Jeff M. Phillips, Hasan Pourmahmood Aghababa:
Orientation-Preserving Vectorized Distance Between Curves. - Hongxu Chen, Shengjian Guo, Yinxing Xue, Yulei Sui, Cen Zhang, Yuekang Li, Haijun Wang, Yang Liu:
MUZZ: Thread-aware Grey-box Fuzzing for Effective Bug Hunting in Multithreaded Programs. - Anh Nguyen, Ngoc Nguyen, Kim Tran, Erman Tjiputra, Quang D. Tran:
Autonomous Navigation in Complex Environments with Deep Multimodal Fusion Network. - Ouri Poupko, Nimrod Talmon:
A Consensus Protocol for e-Democracy. - Brian Kenji Iwana, Seiichi Uchida:
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks. - Weitao Xu, Junqing Zhang, Shunqi Huang, Chengwen Luo, Wei Li:
Key Generation for Internet of Things: A Contemporary Survey. - Szilárd Nemes, Margit Antal:
Feature Learning for Accelerometer based Gait Recognition. - Kasturi Vasudevan, Gyanesh Kumar Pathak, A. Phani Kumar Reddy:
Turbo Coded Single User Massive MIMO with Precoding. - Xiangpeng Wei, Yue Hu, Rongxiang Weng, Luxi Xing, Heng Yu, Weihua Luo:
On Learning Universal Representations Across Languages. - Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander:
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. - Ioannis Kontoyiannis, Yi Heng Lim, Katia Papakonstantinopoulou, Wojciech Szpankowski:
Compression and Symmetry of Small-World Graphs and Structures. - William B. Langdon, Westley Weimer, Justyna Petke, Erik M. Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang, Michael C. Gerten:
Genetic Improvement @ ICSE 2020. - Dom Huh:
Hierarchical BiGraph Neural Network as Recommendation Systems. - Dom Huh:
Greedy Bandits with Sampled Context. - Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. - Patrick Ruhkamp, Ruiqi Gong, Nassir Navab, Benjamin Busam:
DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching. - Lucas Rettenmeier:
Word Embeddings: Stability and Semantic Change. - Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki:
Exploring Swedish & English fastText Embeddings with the Transformer. - Joseph Worsham, Jugal Kalita:
Multi-task learning for natural language processing in the 2020s: where are we going? - Poulomi Pal, Tom Williams:
Toward Givenness Hierarchy Theoretic Natural Language Generation. - Subhadip Maji, Arijit Ghosh Chowdhury, Raghav Bali, Vamsi M. Bhandaru:
Exclusion and Inclusion - A model agnostic approach to feature importance in DNNs. - Sandhya Aneja, Siti Nur Afikah Bte Abdul Mazid, Nagender Aneja:
Neural Machine Translation model for University Email Application. - Denis Filimonov, Ravi Teja Gadde, Ariya Rastrow:
Neural Composition: Learning to Generate from Multiple Models. - Cem Güneri, San Ling, Buket Özkaya:
Quasi-Cyclic Codes. - Farbod Taymouri, Marcello La Rosa:
Encoder-Decoder Generative Adversarial Nets for Suffix Generation and Remaining Time Predication of Business Process Models. - Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan:
Pixel-wise Crowd Understanding via Synthetic Data. - Nima Noii, Amirreza Khodadadian, Thomas Wick:
Bayesian Inversion for Anisotropic Hydraulic Phase-Field Fracture. - Tong Xu, WenChuan Wu:
Data-driven Inverter-based Volt/VAr Control for Partially Observable Distribution Networks. - Simon Schiff, Özgür L. Özçep:
Bounded-Memory Criteria for Streams with Application Time. - Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Whole MILC: generalizing learned dynamics across tasks, datasets, and populations. - Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli:
Low Dimensional State Representation Learning with Reward-shaped Priors. - Pablo V. A. Barros, Ana Tanevska, Francisco Cruz, Alessandra Sciutti:
Moody Learners - Explaining Competitive Behaviour of Reinforcement Learning Agents. - Effrosyni Simou, Dorina Thanou, Pascal Frossard:
node2coords: Graph Representation Learning with Wasserstein Barycenters. - Xiaowen Dong, Dorina Thanou, Laura Toni, Michael M. Bronstein, Pascal Frossard:
Graph signal processing for machine learning: A review and new perspectives. - William Taylor, Qammer H. Abbasi, Kia Dashtipour, Shuja Ansari, Syed Aziz Shah, Arslan Khan, Muhammad Ali Imran:
A Review on the State of the Art in Non Contact Sensing for COVID-19. - Jose Saldana, Mirko Suznjevic, Luis Sequeira, Julián Fernández-Navajas, Maja Matijasevic, José Ruíz-Mas:
The Effect of TCP Variants on the Coexistence of MMORPG and Best-Effort Traffic. - Jose Saldana, Juan Luis de la Cruz, Luis Sequeira, Julián Fernández-Navajas, José Ruíz-Mas:
Can a Wi-Fi WLAN Support a First Person Shooter? - Julian Wiederer, Arij Bouazizi, Ulrich Kressel, Vasileios Belagiannis:
Traffic Control Gesture Recognition for Autonomous Vehicles. - Luca Chiaraviglio, Cristian Di Paolo, Nicola Blefari-Melazzi:
5G Network Planning under Service and EMF Constraints: Formulation and Solutions. - Guillaume Noyel, Jesús Angulo, Dominique Jeulin:
Fast computation of all pairs of geodesic distances. - Boris Eng, Thomas Seiller:
Stellar Resolution: Multiplicatives. - Marilena Daquino, Ivan Heibi, Silvio Peroni, David M. Shotton:
Creating Restful APIs over SPARQL endpoints with RAMOSE. - Emmanouil Rigas, Konstantinos Tsompanidis:
Congestion Management for Mobility-on-Demand Schemes that use Electric Vehicles. - Chidiebere Onyedinma, Patrick Gavigan, Babak Esfandiari:
Toward Campus Mail Delivery Using BDI. 127-143 - Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han:
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. - Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel Ángel González Ballester, Gemma Piella:
Curriculum learning for annotation-efficient medical image analysis: scheduling data with prior knowledge and uncertainty. - Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen:
Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective. - Suda Bharadwaj, Abraham P. Vinod, Rayna Dimitrova, Ufuk Topcu:
Near-Optimal Reactive Synthesis Incorporating Runtime Information. - Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran:
MSPP: A Highly Efficient and Scalable Algorithm for Mining Similar Pairs of Points. - Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool:
Neural Architecture Search as Sparse Supernet. - Enza Pellegrino, Laura Pezza, Francesca Pitolli:
Quasi-Interpolant Operators and the Solution of Fractional Differential Problems. - Tong Wu, Xuefei Ning, Wenshuo Li, Ranran Huang, Huazhong Yang, Yu Wang:
Physical Adversarial Attack on Vehicle Detector in the Carla Simulator. - (Withdrawn) Reciprocal Recommender Systems: Analysis of State-of-Art Literature, Challenges and Opportunities on Social Recommendation.
- Zhe Wang, Liqin Zhao, Biye Jiang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai:
COLD: Towards the Next Generation of Pre-Ranking System. - Damien Legay, Alexandre Decan, Tom Mens:
On Package Freshness in Linux Distributions. - Xin Xu, Shiqin Wang, Zheng Wang, Xiaolong Zhang, Ruimin Hu:
Exploring Image Enhancement for Salient Object Detection in Low Light Images. - Sergey Dolgov, Daniel Kressner, Christoph Strössner:
Functional Tucker approximation using Chebyshev interpolation. - Monica Agrawal, Chloe O'Connell, Yasmin Fatemi, Ariel Levy, David A. Sontag:
Robust Benchmarking for Machine Learning of Clinical Entity Extraction. - Zhengqi Zhang, Zhi Zhou:
Numerical Analysis of Backward Subdiffusion Problems. - Garrett Wright:
Improved Time Warp Edit Distance - A Parallel Dynamic Program in Linear Memory. - Abdulaziz Alqahtani, Thomas Mach, Lothar Reichel:
Continuous Adaptive Cross Approximation for Ill-posed Problems with Chebfun. - Arturo Merino, Andreas Wiese:
On the Two-Dimensional Knapsack Problem for Convex Polygons. - Jaydip Sen, Sidra Mehtab, Michael Ekonde Sone, Jyothsna Veeramreddy, Koneti Munivara Prasad, Rajeev Singh, Teek Parval Sharma, Anton Noskov, Ignacio Velásquez, Angélica Caro, Alfonco Rodriguez, Tamer S. A. Fatayer, Altaf O. Mulani, Pradeep B. Mane, Roshan Chitrakar, Roshan Bhusal, Prajwol Maharjan:
Computer and Network Security. - Vasco Lopes, Luís A. Alexandre:
HMCNAS: Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization. - Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matús Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil:
Paying Per-label Attention for Multi-label Extraction from Radiology Reports. - José Espírito Santo, Ralph Matthes, Luís Pinto:
Proof search for full intuitionistic propositional logic through a coinductive approach for polarized logic. - Shubhankar Agarwal, Harshit Sikchi, Cole Gulino, Eric Wilkinson:
Imitative Planning using Conditional Normalizing Flow. - Philippe Esling, Ninon Devis, Adrien Bitton, Antoine Caillon, Axel Chemla-Romeu-Santos, Constance Douwes:
Diet deep generative audio models with structured lottery. - Germán Vidal:
Reversible Debugging in Logic Programming. - Zachary Levonian, Marco Dow, Drew Richard Erikson, Sourojit Ghosh, Hannah Miller Hillberg, Saumik Narayanan, Loren Terveen, Svetlana Yarosh:
Patterns of Patient and Caregiver Mutual Support Connections in an Online Health Community. - Taher Hekmatfar, Saman Haratizadeh, Sama Goliaei:
Embedding Ranking-Oriented Recommender System Graphs. - Elmira Karimi, Yunsi Fei, David R. Kaeli:
Hardware/Software Obfuscation against Timing Side-channel Attack on a GPU. - Rahul Mathur, Chien-Ju Chao, Rossana Liu, Nikhil Tadepalli, Pranavi Chandupatla, Shawn Hung, Xiaoqing Xu, Saurabh Sinha, Jaydeep Kulkarni:
Thermal Analysis of a 3D Stacked High-Performance Commercial Microprocessor using Face-to-Face Wafer Bonding Technology. - Philippe Esling, Théis Bazin, Adrien Bitton, Tristan Carsault, Ninon Devis:
Ultra-light deep MIR by trimming lottery tickets. - A. Emin Orhan, Vaibhav V. Gupta, Brenden M. Lake:
Self-supervised learning through the eyes of a child. - Willow Ahrens:
Load Plus Communication Balancing in Contiguous Partitions for Distributed Sparse Matrices: Linear-Time Algorithms. - Xutai Ma, Mohammad Javad Dousti, Changhan Wang, Jiatao Gu, Juan Miguel Pino:
SimulEval: An Evaluation Toolkit for Simultaneous Translation. - Mohammed Hamzah Abed, Ali H. Alsaeedi, Ali Saeed Dayem Alfoudi, Abayomi Moradeyo Otebolaku, Yasameen Sajid Razooqi:
Palm Vein Identification based on hybrid features selection model. - Vishal Mandal, Yaw Adu-Gyamfi:
Object Detection and Tracking Algorithms for Vehicle Counting: A Comparative Analysis. - Kyle Kai Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, Danai Koutra:
G-CREWE: Graph CompREssion With Embedding for Network Alignment. - Juyang Weng:
Conscious Intelligence Requires Lifelong Autonomous Programming For General Purposes. - Kiwon Um, Yun (Raymond) Fei, Philipp Holl, Robert Brand, Nils Thuerey:
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers. - Samuel Mugel, Carlos Kuchkovsky, Escolastico Sanchez, Samuel Fernández-Lorenzo, Jorge Luis-Hita, Enrique Lizaso, Roman Orus:
Dynamic Portfolio Optimization with Real Datasets Using Quantum Processors and Quantum-Inspired Tensor Networks. - Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau:
Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming. - Jay S. Stanley III, Eric C. Chi, Gal Mishne:
Multi-way Graph Signal Processing on Tensors: Integrative analysis of irregular geometries. - Ben Cameron, Chính T. Hoàng, Joe Sawada:
Dichotomizing k-vertex-critical H-free graphs for H of order four. - Dinuka Sahabandu, Shana Moothedath, Joey Allen, Linda Bushnell, Wenke Lee, Radha Poovendran:
A Multi-Agent Reinforcement Learning Approach for Dynamic Information Flow Tracking Games for Advanced Persistent Threats. - Jiaqi Jiang, Mingkun Chen, Jonathan A. Fan:
Deep neural networks for the evaluation and design of photonic devices. - Linchuan Wei, Andrés Gómez, Simge Küçükyavuz:
Ideal formulations for constrained convex optimization problems with indicator variables. - Mazen Ali, Anthony Nouy:
Approximation with Tensor Networks. Part I: Approximation Spaces. - Elena A. Kaye, Emily A. Aherne, Cihan Duzgol, Ida Häggström, Erich Kobler, Yousef Mazaheri, Maggie M. Fung, Zhigang Zhang, Ricardo Otazo, Herbert Alberto Vargas, Oguz Akin:
Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study. - Ivan Voitalov, Pim van der Hoorn, Maksim Kitsak, Fragkiskos Papadopoulos, Dmitri V. Krioukov:
Weighted hypersoft configuration model. - Mazen Ali, Anthony Nouy:
Approximation with Tensor Networks. Part II: Approximation Rates for Smoothness Classes. - Dayu Zhu, Zhaocheng Liu, Lakshmi Raju, Andrew S. Kim, Wenshan Cai:
Multifunctional Meta-Optic Systems: Inversely Designed with Artificial Intelligence. - Maarten Van Segbroeck, Sri Harish Mallidi, Brian John King, I-Fan Chen, Gurpreet Chadha, Roland Maas:
Multi-view Frequency LSTM: An Efficient Frontend for Automatic Speech Recognition. - Yassine El Ouahidi, Matis Feller, Matthieu Talagas, Bastien Pasdeloup:
An Approach for Clustering Subjects According to Similarities in Cell Distributions within Biopsies. - Nicholas Choma, Daniel Murnane, Xiangyang Ju, Paolo Calafiura, Sean Conlon, Steven Farrell, Prabhat, Giuseppe Cerati, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Panagiotis Spentzouris, Jean-Roch Vlimant, Maria Spiropulu, Adam Aurisano, Jeremy Hewes, Aristeidis Tsaris, Kazuhiro Terao, Tracy L. Usher:
Track Seeding and Labelling with Embedded-space Graph Neural Networks. - Guanghui Lan, H. Edwin Romeijn, Zhiqiang Zhou:
Conditional Gradient Methods for Convex Optimization with Function Constraints. - Wonjun Ko, Eunjin Jeon, Heung-Il Suk:
A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs. - Bowen Shi, Shane Settle, Karen Livescu:
Whole-Word Segmental Speech Recognition with Acoustic Word Embeddings. - K. Wang, Hual Te Chien, Shaolin Liao, L. P. Yuan, S. H. Sheen, Sasan Bakhtiari, Apostolos C. Raptis:
Ultrasonic and Electromagnetic Sensors for Downhole Reservoir Characterization. - Nasim Alamdari, Edward Lobarinas, Nasser Kehtarnavaz:
Personalization of Hearing Aid Compression by Human-In-Loop Deep Reinforcement Learning. - Shaolin Liao, Sasan Bakhtiari, Thomas W. Elmer, B. Lawrence, Eugene R. Koehl, Nachappa Gopalsami, Apostolos C. Raptis:
Millimeter Wave Doppler Sensor for Nondestructive Evaluation of Materials. - Meng Chang, Huajun Feng, Zhihai Xu, Qi Li:
Low-light Image Restoration with Short- and Long-exposure Raw Pairs. - Wenpin Tang:
Learning an arbitrary mixture of two multinomial logits. - Kevin Bello, Jean Honorio:
Fairness constraints can help exact inference in structured prediction. - Dawei Gao, Qinghua Guo:
Massive MIMO As Extreme Learning Machine. - Yuma Koizumi, Ryo Masumura, Kyosuke Nishida, Masahiro Yasuda, Shoichiro Saito:
A Transformer-based Audio Captioning Model with Keyword Estimation. - Yuma Koizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino:
The NTT DCASE2020 Challenge Task 6 system: Automated Audio Captioning with Keywords and Sentence Length Estimation. - Erik Schultheis, Mohammadreza Qaraei, Priyanshu Gupta, Rohit Babbar:
Unbiased Loss Functions for Extreme Classification With Missing Labels. - Shankhyajyoti De, Arabin Kumar Dey, Deepak Gauda:
Construction of confidence interval for a univariate stock price signal predicted through Long Short Term Memory Network. - Ralph John de la Cruz, Philip Saltenberger:
Density of diagonalizable matrices in sets of structured matrices defined from indefinite scalar products. - Hangting Chen, Pengyuan Zhang:
Exploring the time-domain deep attractor network with two-stream architectures in a reverberant environment. - Kevin Bello, Qiuling Xu, Jean Honorio:
Fundamental Limits of Adversarial Learning. - Hai-Jun Zhou:
Circumventing spin glass traps by microcanonical spontaneous symmetry breaking. - Alessandro Brighente, Jafar Mohammadi, Paolo Baracca:
Interference Distribution Prediction for Link Adaptation in Ultra-Reliable Low-Latency Communications. - Lara Hoffmann, Clemens Elster:
Deep Neural Networks for Computational Optical Form Measurements. - Pascal A. Schirmer, Iosif Mporas, Akbar Sheikh Akbari:
Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation. - Nicolai Engelmann, Dominik Linzner, Heinz Koeppl:
Continuous-Time Bayesian Networks with Clocks. - Dominic Richards, Patrick Rebeschini, Lorenzo Rosasco:
Decentralised Learning with Random Features and Distributed Gradient Descent. - Yujie Qin, Mustafa A. Kishk, Mohamed-Slim Alouini:
Performance Evaluation of UAV-enabled Cellular Networks with Battery-limited Drones. - Frédéric Barbaresco, Yann Cabanes:
The Basic Geometric Structures of Electromagnetic Digital Information: Statistical characterization of the digital measurement of spatio-Doppler and polarimetric fluctuations of the radar electromagnetic wave. - S. Mostapha Kalami Heris, Shahryar Rahnamayan:
Multi-objective Optimal Control of Dynamic Integrated Model of Climate and Economy: Evolution in Action. - Saeid Alirezazadeh, Khadijeh Alibabaei:
Improvement on Extrapolation of Species Abundance Distribution Across Scales from Moments Across Scales. - Marie Laclau, Ludovic Renou, Xavier Venel:
Robust communication on networks. - Alex Goeßmann, Gitta Kutyniok:
The Restricted Isometry of ReLU Networks: Generalization through Norm Concentration. - Piyush Yadav, Shamsuddin Ladha, Shailesh Deshpande, Edward Curry:
Computational Model for Urban Growth Using Socioeconomic Latent Parameters. - Chatura Samarakoon, Gehan Amaratunga, Phillip Stanley-Marbell:
Inferring Human Observer Spectral Sensitivities from Video Game Data. - Zeyu Guo:
Factoring Polynomials over Finite Fields with Linear Galois Groups: An Additive Combinatorics Approach. - Santiago R. Balseiro, Haihao Lu, Vahab S. Mirrokni:
Regularized Online Allocation Problems: Fairness and Beyond. - Georgina Hall, Laurent Massoulié:
Partial Recovery in the Graph Alignment Problem. - Thomas Dietzen, Marc Moonen, Toon van Waterschoot:
Instantaneous PSD Estimation for Speech Enhancement based on Generalized Principal Components. - Hua Wang, Yachong Yang, Weijie J. Su:
The Price of Competition: Effect Size Heterogeneity Matters in High Dimensions. - Mert Gürbüzbalaban, Xuefeng Gao, Yuanhan Hu, Lingjiong Zhu:
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo. - Fan Chen, Karl Rohe:
A New Basis for Sparse PCA. - Fabian Baumann, Philipp Lorenz-Spreen, Igor M. Sokolov, Michele Starnini:
Emergence of polarized ideological opinions in multidimensional topic spaces. - Philip Saville:
Cartesian closed bicategories: type theory and coherence. - Jun Niu:
End-to-End JPEG Decoding and Artifacts Suppression Using Heterogeneous Residual Convolutional Neural Network. - Jordan J. Bird, Diego R. Faria, Anikó Ekárt, Cristiano Premebida, Pedro P. S. Ayrosa:
LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity. - Andrew Y. Guo, Abhinav Deshpande, Su-Kuan Chu, Zachary Eldredge, Przemyslaw Bienias, Dhruv Devulapalli, Yuan Su, Andrew M. Childs, Alexey V. Gorshkov:
Implementing a Fast Unbounded Quantum Fanout Gate Using Power-Law Interactions. - Luka Music, Céline Chevalier, Elham Kashefi:
Dispelling Myths on Superposition Attacks: Formal Security Model and Attack Analyses. - Tahjid Ashfaque Mostafa, Irene Cheng:
Parkinson's Disease Detection Using Ensemble Architecture from MR Images. - Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo:
Bayesian Coresets: An Optimization Perspective. - Oren Friman, Gabriel Nivasch:
Some i-Mark games. - Songyang Zhang, Han Zhang, Shuguang Cui, Zhi Ding:
From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation. - Christina Lee Yu:
Tensor Estimation with Nearly Linear Samples. - Tairan Liu, Kevin de Haan, Bijie Bai, Yair Rivenson, Yi Luo, Hongda Wang, David Karalli, Hongxiang Fu, Yibo Zhang, John FitzGerald, Aydogan Ozcan:
Deep learning-based holographic polarization microscopy. - Mason T. Chen, Nicholas J. Durr:
Rapid tissue oxygenation mapping from snapshot structured-light images with adversarial deep learning. - Xiaochen Yang, Jean Honorio:
Information Theoretic Sample Complexity Lower Bound for Feed-Forward Fully-Connected Deep Networks. - Zhuohao Chen, James Gibson, Ming-Chang Chiu, Qiaohong Hu, Tara K. Knight, Daniella Meeker, James A. Tulsky, Kathryn I. Pollak, Shrikanth Narayanan:
Automated Empathy Detection for Oncology Encounters. - Geoffrey Roeder, Luke Metz, Diederik P. Kingma:
On Linear Identifiability of Learned Representations. - Jin Jin, Lin Zhang, Ethan Leng, Gregory J. Metzger, Joseph S. Koopmeiners:
Multi-resolution Super Learner for Voxel-wise Classification of Prostate Cancer Using Multi-parametric MRI. - Guotai Wang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. - Omar Elharrouss, Nandhini Subramanian, Somaya Al-Máadeed:
An encoder-decoder-based method for COVID-19 lung infection segmentation. - Qinbing Fu, Shigang Yue:
Modelling Drosophila Motion Vision Pathways for Decoding the Direction of Translating Objects Against Cluttered Moving Backgrounds. - Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le:
Computational methods for cancer driver discovery: A survey. - Teck Kai Chan, Cheng Siong Chin, Ye Li:
Semi-Supervised NMF-CNN For Sound Event Detection. - Marius-Simion Costandin, Bogdan Gavrea:
A Fully Polynomial Time Approximation Scheme For A NP-Hard Problem. - Hamidreza Eivazi, Hadi Veisi, Mohammad Hossein Naderi, Vahid Esfahanian:
Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows. - Nam Kyun Kim, Hong Kook Kim:
Polyphonic sound event detection based on convolutional recurrent neural networks with semi-supervised loss function for DCASE challenge 2020 task 4. - Rémy Degenne, Pierre Ménard, Xuedong Shang, Michal Valko:
Gamification of Pure Exploration for Linear Bandits. - Rémy Degenne, Han Shao, Wouter M. Koolen:
Structure Adaptive Algorithms for Stochastic Bandits. - Caio Vitor Beojone, Nikolas Geroliminis:
On the inefficiency of ride-sourcing services towards urban congestion. - Yazheng Wang, Hancheng Lu, Dan Zhao, Huan Sun:
Energy Efficiency Optimization in IRS-Enhanced mmWave Systems with Lens Antenna Array. - Eugene Kharitonov, Morgane Rivière, Gabriel Synnaeve, Lior Wolf, Pierre-Emmanuel Mazaré, Matthijs Douze, Emmanuel Dupoux:
Data Augmenting Contrastive Learning of Speech Representations in the Time Domain. - Carmen G. Almudéver, Lingling Lao, Robert Wille, Gian Giacomo Guerreschi:
Realizing Quantum Algorithms on Real Quantum Computing Devices. - Ziqiang Li, Hong Pan, Yaping Zhu, A. Kai Qin:
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors. - Annabelle Redelmeier, Martin Jullum, Kjersti Aas:
Explaining predictive models with mixed features using Shapley values and conditional inference trees. - Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer:
Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification. - Marcel Bengs, Nils Gessert, Alexander Schlaefer:
4D Spatio-Temporal Convolutional Networks for Object Position Estimation in OCT Volumes. - Furqan Jameel, Muhammad Awais Javed, Sherali Zeadally, Riku Jäntti:
Efficient Mining Cluster Selection for Blockchain-based Cellular V2X Communications. - Dominic Kafka, Daniel Nicolas Wilke:
Gradient-only line searches to automatically determine learning rates for a variety of stochastic training algorithms. - Zhen Long, Ce Zhu, Jiani Liu, Yipeng Liu:
Bayesian Low Rank Tensor Ring Model for Image Completion. - Zhen Long, Yipeng Liu, Sixing Zeng, Jiani Liu, Fei Wen, Ce Zhu:
Hyperspectral Image Denoising with Partially Orthogonal Matrix Vector Tensor Factorization. - Dan Zhao, Hancheng Lu, Yazheng Wang, Huan Sun:
Joint Passive Beamforming and User Association Optimization for IRS-assisted mmWave Systems. - Stijn de Waele:
Accurate Characterization of Non-Uniformly Sampled Time Series using Stochastic Differential Equations. - K. Z. Najiya, Munnu Sonkar, Challa S. Sastry:
Local recovery bounds for prior support constrained Compressed Sensing. - Nikita Albert:
Evaluation of Contemporary Convolutional Neural Network Architectures for Detecting COVID-19 from Chest Radiographs. - Sheyda Zarandi, Ata Khalili, Mehdi Rasti, Hina Tabassum:
Multi-Objective Energy Efficient Resource Allocation and User Association for In-band Full Duplex Small-Cells. - Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher:
Double-Loop Unadjusted Langevin Algorithm. - André Reggio, Robin Delabays, Philippe Jacquod:
Clusterization and phase diagram of the bimodal Kuramoto model with bounded confidence. - Leixin Zhou, Xiaodong Wu:
Globally Optimal Surface Segmentation using Deep Learning with Learnable Smoothness Priors. - Zhan Gao, Alec Koppel, Alejandro Ribeiro:
Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems. - Markus Grassl:
Entanglement-Assisted Quantum Communication Beating the Quantum Singleton Bound. - Nicolas Basty, Yi Liu, Madeleine Cule, E. Louise Thomas, Jimmy D. Bell, Brandon J. Whitcher:
Image Processing and Quality Control for Abdominal Magnetic Resonance Imaging in the UK Biobank. - Waleed Raza, Xuefei Ma, Amir Ali, Zubair Ali Shah, Ghazanfar Mehdi:
An Implementation of Partial Transmit Sequences to Design Energy Efficient Underwater Acoustic OFDM Communication System. - Vitalii Makogin, Yuliya Mishura, Hanna Zhelezniak:
Approximate solution of the integral equations involving kernel with additional singularity. - Christopher R. Hoyt, Art B. Owen:
Efficient estimation of the ANOVA mean dimension, with an application to neural net classification. - Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Zhaoran Wang, Mladen Kolar:
Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach. - Nik Dennler, Antonio Foncubierta-Rodríguez, Titus Neupert, Marilyne Sousa:
Learning-based Defect Recognition for Quasi-Periodic Microscope Images. - Antoine Hocquet, Alexander Vogler:
Optimal control of mean field equations with monotone coefficients and applications in neuroscience. - Andrew Y. K. Foong, Wessel P. Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, Richard E. Turner:
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes. - Muhammad Aneeq uz Zaman, Aamer Iqbal Bhatti:
Multi-agent Planning for thermalling gliders using multi level graph-search. - François Drielsma, Qing Lin, Pierre Côte de Soux, Laura Dominé, Ran Itay, Dae Heun Koh, Bradley J. Nelson, Kazuhiro Terao, Ka Vang Tsang, Tracy L. Usher:
Clustering of Electromagnetic Showers and Particle Interactions with Graph Neural Networks in Liquid Argon Time Projection Chambers Data. - Gabriel G. Piva, Fabiano L. Ribeiro, Angelica S. Mata:
Networks with Growth and Preferential Attachment: Modeling and Applications. - Yifei Wang, Dan Peng, Furui Liu, Zhenguo Li, Zhitang Chen, Jiansheng Yang:
Decoder-free Robustness Disentanglement without (Additional) Supervision. - Yongchan Kwon, Manuel A. Rivas, James Zou:
Efficient computation and analysis of distributional Shapley values. - Tamer Basar, Sean P. Meyn, William R. Perkins:
Lecture Notes on Control System Theory and Design. - David Joon Ho, Narasimhan P. Agaram, Peter J. Schüffler, Chad M. Vanderbilt, Marc-Henri Jean, Meera R. Hameed, Thomas J. Fuchs:
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment. - Ainesh Bakshi, Adarsh Prasad:
Robust Linear Regression: Optimal Rates in Polynomial Time. - J. X. Zhu, C. Rea, K. Montes, R. S. Granetz, R. Sweeney, R. A. Tinguely:
Hybrid deep learning architecture for general disruption prediction across tokamaks. - Ridwan Alam, David B. Peden, John C. Lach:
Wearable Respiration Monitoring: Interpretable Inference with Context and Sensor Biomarkers. - Bohumir Jelinek, William J. Young, Matthew Dantin, William Furr, Haley R. Doude, Matthew W. Priddy:
Two-dimensional thermal finite element model of directed energy deposition: matching melt pool temperature profile with pyrometer measurement. - Griffin Mooers, Jens Tuyls, Stephan Mandt, Michael S. Pritchard, Tom Beucler:
Generative Modeling for Atmospheric Convection. - Runjing Lu, Yanying Sheng:
From Fear to Hate: How the Covid-19 Pandemic Sparks Racial Animus in the United States. - Cong Fang, Jason D. Lee, Pengkun Yang, Tong Zhang:
Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks. - Hidekazu Yoshioka, Motoh Tsujimura:
A generalized stochastic control problem of bounded noise process under ambiguity arising in biological management. - Andi Han, Junbin Gao:
Variance reduction for Riemannian non-convex optimization with batch size adaptation. - Ying-Chang Liang, Qianqian Zhang, Erik G. Larsson, Geoffrey Ye Li:
Symbiotic Radio: Cognitive Backscattering Communications for Future Wireless Networks. - Hoang Minh Pham, Leon Sering:
Dynamic Equilibria in Time-Varying Networks. - Ido Cohen, Omri Azencot, Pavel Lifshitz, Guy Gilboa:
Mode Decomposition for Homogeneous Symmetric Operators. - Thomas Haubner, Andreas Brendel, Walter Kellermann:
Online Supervised Acoustic System Identification exploiting Prelearned Local Affine Subspace Models. - Apostolos Chalkis, Vissarion Fisikopoulos:
volesti: Volume Approximation and Sampling for Convex Polytopes in R. - Thomas Haubner, Andreas Brendel, Mohamed Elminshawi, Walter Kellermann:
Noise-Robust Adaptation Control for Supervised System Identification Exploiting A Noise Dictionary. - Muhammad Osama, Dave Zachariah, Petre Stoica:
Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees. - Sören Dittmer, Tobias Kluth, Mads Thorstein Roar Henriksen, Peter Maass:
Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset. - Yuzhen Niu, Jianbin Wu, Wenxi Liu, Wenzhong Guo, Rynson W. H. Lau:
HDR-GAN: HDR Image Reconstruction from Multi-Exposed LDR Images with Large Motions. - Takahiro Mimori, Keiko Sasada, Hirotaka Matsui, Issei Sato:
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain. - Christian Badertscher, Alexandru Cojocaru, Léo Colisson, Elham Kashefi, Dominik Leichtle, Atul Mantri, Petros Wallden:
Security Limitations of Classical-Client Delegated Quantum Computing. - Debashis Bhowmik, Dipendu Maity, Bhanu Pratap Yadav, Ashish Kumar Upadhyay:
New Classes of Quantum Codes Associated with Surface Maps. - Shaolin Liao:
Fast Computation of Electromagnetic Wave Propagation and Scattering for Quasi-cylindrical Geometry. - Ronald Seoh:
Qualitative Analysis of Monte Carlo Dropout. - Lukas Christian Høghøj, Daniel Ruberg Nørhave, Joe Alexandersen, Ole Sigmund, Casper Schousboe Andreasen:
Topology Optimization of Heat Exchangers. - Hedongliang Liu, Nikita Polyanskii, Ilya Vorobyev, Antonia Wachter-Zeh:
Almost Affinely Disjoint Subspaces. - Ulrich Bauer, Magnus Bakke Botnan, Benedikt Fluhr:
Universality of the Bottleneck Distance for Extended Persistence Diagrams. - Pavel Denisov, Ngoc Thang Vu:
Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning. - Rui Aguiar, Jon Braatz:
Selecting Regions of Interest in Large Multi-Scale Images for Cancer Pathology. - Wolfgang E. Kerzendorf, Christian Vogl, Johannes Buchner, Gabriella Contardo, Marc Williamson, Patrick van der Smagt:
Dalek - a deep-learning emulator for TARDIS. - Andreas Gerhardus, Jakob Runge:
High-recall causal discovery for autocorrelated time series with latent confounders. - Max Biggs, Wei Sun, Markus Ettl:
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing. - Giulia Bertaglia, Valerio Caleffi, Lorenzo Pareschi, Alessandro Valiani:
Uncertainty quantification of viscoelastic parameters in arterial hemodynamics with the a-FSI blood flow model. - Ashish Kubade, Avinash Sharma, Krishnan Sundara Rajan:
Feedback Neural Network based Super-resolution of DEM for generating high fidelity features. - Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Clement Vachet, Tolga Tasdizen:
Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields. - Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang:
Accelerating Nonconvex Learning via Replica Exchange Langevin Diffusion. - Hans De Sterck, Yunhui He:
On the Asymptotic Linear Convergence Speed of Anderson Acceleration, Nesterov Acceleration, and Nonlinear GMRES. - Jinxiu Liang, Yong Xu, Yuhui Quan, Jingwen Wang, Haibin Ling, Hui Ji:
Deep Bilateral Retinex for Low-Light Image Enhancement. - Weiyi Zhou, Minha Lee, Qianqian Sun, Weiyu Luo, Chenfeng Xiong, Lei Zhang:
An Interstate Trips Analysis during COVID-19 in the United States. - Ahsan Habib, Chandan K. Karmakar, John Yearwood:
Choosing a sampling frequency for ECG QRS detection using convolutional networks. - Oliver Carr, Fernando Andreotti, Kate E. A. Saunders, Niclas Palmius, Guy M. Goodwin, Maarten De Vos:
Monitoring Depression in Bipolar Disorder using Circadian Measures from Smartphone Accelerometers. - Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks. - Dwarikanath Mahapatra:
Registration of Histopathogy Images Using Structural Information From Fine Grained Feature Maps. - Yue Sun, Kun Gao, Zhengwang Wu, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Gang Li, Dinggang Shen, Li Wang:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. - Jialin Bi, Ji Jin, Cunquan Qu, Xiuxiu Zhan, Guanghui Wang:
Temporal Gravity Model for Important Nodes Identification in Temporal Networks. - Bowen Kuo, Yihuang Kang, Pinghsung Wu, Sheng-Tai Huang, Yajie Huang:
Discovering Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests. - Yang Liu, Kai Sun, Jiaojiao Dong:
A Dynamized Power Flow Method based on Differential Transformation. - Cong Mu, Angelo Mele, Lingxin Hao, Joshua Cape, Avanti Athreya, Carey E. Priebe:
On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates. - Qianqian Sun, Weiyi Zhou, Aliakbar Kabiri, Aref Darzi, Songhua Hu, Hannah Younes, Lei Zhang:
COVID-19 and Income Profile: How People in Different Income Groups Responded to Disease Outbreak, Case Study of the United States. - Shenda Hong, Zhaoji Fu, Rongbo Zhou, Jie Yu, Yongkui Li, Kai Wang, Guanlin Cheng:
CardioLearn: A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram. - Issam H. Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vázquez, Derek Nowrouzezahrai:
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. - Jianguo Chen, Kenli Li, Zhaolei Zhang, Keqin Li, Philip S. Yu:
A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19. - Shaolin Ji, Shige Peng, Ying Peng, Xichuan Zhang:
Deep learning method for solving stochastic optimal control problem via stochastic maximum principle. - Renato J. Cintra:
An Integer Approximation Method for Discrete Sinusoidal Transforms. - Yong Lee, Shaohua Zhang, Miao Li, Xiaoyu He:
Blind Inverse Gamma Correction with Maximized Differential Entropy. - Gaochang Wu, Yebin Liu, Lu Fang, Tianyou Chai:
Spatial-Angular Attention Network for Light Field Reconstruction. - Ashish Sinha, K. S. Suresh:
Deep Learning based Dimple Detection for Quantitative Fractography. - Fengbei Liu, Yaqub Jonmohamadi, Gabriel Maicas, Ajay K. Pandey, Gustavo Carneiro:
Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy. - Md. Zahangir Alom, Raj P. Kapur, T. J. Bowen, Vijayan K. Asari:
GanglionNet: Objectively Assess the Density and Distribution of Ganglion Cells With NABLA-N Network. - Sookyo Jeong, Hongseok Namkoong:
Robust Causal Inference Under Covariate Shift via Worst-Case Subpopulation Treatment Effects. - Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama:
Piecewise Linear Regression via a Difference of Convex Functions. - Federico Benvenuto, Cristina Campi, Anna Maria Massone, Michele Piana:
Machine learning as a flaring storm warning machine: Was a warning machine for the September 2017 solar flaring storm possible? - Joubine Aghili, Olga Mula:
Depth-Adaptive Neural Networks from the Optimal Control viewpoint. - Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Pseudo-Rehearsal for Continual Learning with Normalizing Flows. - Mohammed Rayyan Sheriff, Debasish Chatterjee:
Novel min-max reformulations of Linear Inverse Problems. - Dennis Núñez Fernández, Lamberto Ballan, Gabriel Jiménez-Avalos, Jorge Coronel, Mirko Zimic:
Using Capsule Neural Network to predict Tuberculosis in lens-free microscopic images. - Hisham Abuella, Mohammed Elamassie, Murat Uysal, Zhengyuan Xu, Erchin Serpedin, Khalid A. Qaraqe, Sabit Ekin:
Hybrid RF/VLC Systems: A Comprehensive Survey on Network Topologies, Performance Analyses, Applications, and Future Directions. - Chi-Hua Wang, Zhanyu Wang, Will Wei Sun, Guang Cheng:
Online Regularization for High-Dimensional Dynamic Pricing Algorithms. - Mohammad Zalbagi Darestani, Reinhard Heckel:
Can Un-trained Neural Networks Compete with Trained Neural Networks at Image Reconstruction? - Tianyan Zhou, Yong Zhao, Jian Wu:
ResNeXt and Res2Net Structure for Speaker Verification. - Dennis Núñez Fernández, Lamberto Ballan, Gabriel Jiménez-Avalos, Jorge Coronel, Mirko Zimic:
Automatic semantic segmentation for prediction of tuberculosis using lens-free microscopy images. - Wenjia Wang, Tianyang Hu, Cong Lin, Guang Cheng:
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network. - Chandramouli Kamanchi, Gopinath Ashok Kumar, Nachiappan Sundaram, T. Ravindra Babu, Chaithanya Bandi:
An Application of Newsboy Problem in Supply Chain Optimisation of Online Fashion E-Commerce. - Laurent François, Joël Dupays, Dmitry Davidenko, Marc Massot:
Solid propellant combustion in the low Mach one-dimensional approximation: from an index-one differential-algebraic formulation to high-fidelity simulations through high-order time integration with adaptive time-stepping. - Thomas Vogt, Roland Haase, Danielle Bednarski, Jan Lellmann:
On the Connection between Dynamical Optimal Transport and Functional Lifting. - Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman:
A Convolutional Approach to Vertebrae Detection and Labelling in Whole Spine MRI. - Yuan Lan, Yang Xiang, Luchan Zhang:
An Elastic Interaction-Based Loss Function for Medical Image Segmentation. - Khoa Nguyen, Konstantinos Drossos, Tuomas Virtanen:
Temporal Sub-sampling of Audio Feature Sequences for Automated Audio Captioning. - Neil K. Chada, Claudia Schillings, Xin T. Tong, Simon Weissmann:
Consistency analysis of bilevel data-driven learning in inverse problems. - Pyry Pyykkönen, Stylianos Ioannis Mimilakis, Konstantinos Drossos, Tuomas Virtanen:
Depthwise Separable Convolutions Versus Recurrent Neural Networks for Monaural Singing Voice Separation. - Ted Hsuan Yun Chen, Ali Salloum, Antti Gronow, Tuomas Ylä-Anttila, Mikko Kivelä:
Polarization of Climate Politics Results from Partisan Sorting: Evidence from Finnish Twittersphere. - Li-Heng Chen, Christos G. Bampis, Zhi Li, Andrey Norkin, Alan C. Bovik:
Perceptually Optimizing Deep Image Compression. - Michael A. Chappell, Mark W. Woolrich:
The FMRIB Variational Bayesian Inference Tutorial II: Stochastic Variational Bayes. - Georges Sfeir, Maya Abou-Zeid, Filipe Rodrigues, Francisco Câmara Pereira, Isam Kaysi:
Semi-nonparametric Latent Class Choice Model with a Flexible Class Membership Component: A Mixture Model Approach. - Zhe Xu, Jie Luo, Jiangpeng Yan, Ritvik Pulya, Xiu Li, William M. Wells III, Jayender Jagadeesan:
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration. - Tianyu Shi, Jiawei Wang, Yuankai Wu, Lijun Sun:
Towards Efficient Connected and Automated Driving System via Multi-agent Graph Reinforcement Learning. - Jean-Francois Ton, Dino Sejdinovic, Kenji Fukumizu:
Meta Learning for Causal Direction. - Ronald Seoh:
Solving Bayesian Network Structure Learning Problem with Integer Linear Programming. - Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang:
GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data. - Katarzyna Woznica, Przemyslaw Biecek:
Does imputation matter? Benchmark for predictive models. - Jackson Gorham, Anant Raj, Lester Mackey:
Stochastic Stein Discrepancies. - James Vuckovic, Aristide Baratin, Remi Tachet des Combes:
A Mathematical Theory of Attention. - Martin E. Bidlingmaier:
An interpretation of dependent type theory in a model category of locally cartesian closed categories. - Bruno Mera, Paulo Mateus, Alexandra M. Carvalho:
On the minmax regret for statistical manifolds: the role of curvature. - Wu-Jung Lee, Valentina Staneva:
Compact representation of temporal processes in echosounder time series via matrix decomposition. - Dawei Wang, Yunhui He, Hans De Sterck:
Quantifying the asymptotic linear convergence speed of Anderson Acceleration applied to ADMM. - Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi:
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning. - Wolfgang Banzhaf:
The Effects of Taxes on Wealth Inequality in Artificial Chemistry Models of Economic Activity. - Anant Raj, Stefan Bauer, Ashkan Soleymani, Michel Besserve, Bernhard Schölkopf:
Causal Feature Selection via Orthogonal Search. - Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters. - Maxim Grigoriev, Anvar Khafizov, Vladislav Kokhan, Victor E. Asadchikov:
Robust Technique for Representative Volume Element Identification in Noisy Microtomography Images of Porous Materials Based on Pores Morphology and Their Spatial Distribution. - Andrew J. Christlieb, Pierson T. Guthrey, William A. Sands, Mathialakan Thavappiragasam:
Parallel Algorithms for Successive Convolution. - Mohammad Saeed Rad, Thomas Yu, Claudiu Musat, Hazim Kemal Ekenel, Behzad Bozorgtabar, Jean-Philippe Thiran:
Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution. - Kirk Bansak:
A Minimum-Risk Dynamic Assignment Mechanism Along with an Approximation, Heuristics, and Extension from Single to Batch Assignments. - Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang:
Kernel Stein Generative Modeling. - Dae Heun Koh, Pierre Côte de Soux, Laura Dominé, François Drielsma, Ran Itay, Qing Lin, Kazuhiro Terao, Ka Vang Tsang, Tracy L. Usher:
Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers. - Chaoxian Qi, Neil Jerome A. Egarguin, Daniel Onofrei, Jiefu Chen:
Feasibility Analysis for the Problem of Active Near Field/Far Field Acoustic Pattern Synthesis in Free Space and Shallow Water Environments. - Julien Loiseau, Hyun Lim, Mark Alexander Kaltenborn, Oleg Korobkin, Christopher M. Mauney, Irina Sagert, Wesley P. Even, Benjamin K. Bergen:
FleCSPH: The Next Generation FleCSIble Parallel Computational Infrastructure for Smoothed Particle Hydrodynamics. - Banghee So, Jean-Philippe Boucher, Emiliano A. Valdez:
Cost-sensitive Multi-class AdaBoost for Understanding Driving Behavior with Telematics. - Francesco Salvetti, Vittorio Mazzia, Aleem Khaliq, Marcello Chiaberge:
Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural Networks. - Mengzhou Li, David S. Rundle, Ge Wang:
X-ray Photon-Counting Data Correction through Deep Learning. - David B. Williams-Young, Wibe A. de Jong, Hubertus Johannes Jacobus Van Dam, Chao Yang:
On the Efficient Evaluation of the Exchange Correlation Potential on Graphics Processing Unit Clusters. - Agnes Marjorie Nakiganda, Shahab Dehghan, Uros Markovic, Gabriela Hug, Petros Aristidou:
A Stochastic-Robust Approach for Resilient Microgrid Investment Planning Under Static and Transient Islanding Security Constraints. - Mona Ghassemi:
Accelerated Insulation Aging Due to Fast, Repetitive Voltages: A Review Identifying Challenges and Future Research Needs. - Hang Min, Darryl McClymont, Shekhar S. Chandra, Stuart Crozier, Andrew P. Bradley:
Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI. - Jordan L. Melcher, Yao Zheng, Dylan Anthony, Matthew Troglia, Yanjun Pan, Ming Li, Thomas Yang, Alvin Yang, Samson Aggelopoulos:
Demo: iJam with Channel Randomization. - Vasilis Syrgkanis, Manolis Zampetakis:
Estimation and Inference with Trees and Forests in High Dimensions. - Stefano Peluchetti, Stefano Favaro:
Doubly infinite residual networks: a diffusion process approach. - Zihan Pan, Malu Zhang, Jibin Wu, Haizhou Li:
Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network. - Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett:
Stochastic Linear Bandits Robust to Adversarial Attacks. - Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. - Guotai Wang, Tao Song, Qiang Dong, Mei Cui, Ning Huang, Shaoting Zhang:
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks. - Yuwen Chen, Antonio Orvieto, Aurélien Lucchi:
An Accelerated DFO Algorithm for Finite-sum Convex Functions. - Daniel Ting, Michael I. Jordan:
Manifold Learning via Manifold Deflation. - Bubacarr Bah, Jannis Kurtz:
An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions. - Yue Song, David J. Hill, Tao Liu, Xinran Zhang:
Impasse Surface of Differential-Algebraic Power System Models: An Interpretation Based on Admittance Matrices. - Sarah Perrin, Julien Pérolat, Mathieu Laurière, Matthieu Geist, Romuald Elie, Olivier Pietquin:
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications. - Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui:
Delay Minimization for Federated Learning Over Wireless Communication Networks. - Junghyun Lee, Jawook Gu, Jong Chul Ye:
Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN. - Anh Tran, Mike Eldred, Scott McCann, Yan Wang:
srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications. - Shaocong Ma, Yi Zhou:
Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle. - Yingqian Wang, Jungang Yang, Longguang Wang, Xinyi Ying, Tianhao Wu, Wei An, Yulan Guo:
Light Field Image Super-Resolution Using Deformable Convolution. - Marko Milosevic, Narad Rampersad:
Squarefree words with interior disposable factors. - César A. Uribe, Ali Jadbabaie:
A Distributed Cubic-Regularized Newton Method for Smooth Convex Optimization over Networks. - Oliver Johnson:
Information-theoretic convergence of extreme values to the Gumbel distribution. - Dongfang Yang, Ekim Yurtsever, Vishnu Renganathan, Keith A. Redmill, Ümit Özgüner:
A Vision-based Social Distancing and Critical Density Detection System for COVID-19. - Galia R. Zimerman, Dina Svetlitsky, Meirav Zehavi, Michal Ziv-Ukelson:
Approximate Search for Known Gene Clusters in New Genomes Using PQ-Trees. - Aadarsh Jha, Haichun Yang, Ruining Deng, Meghan E. Kapp, Agnes B. Fogo, Yuankai Huo:
Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment. - Laetitia Jeancolas, Dijana Petrovska-Delacrétaz, Graziella Mangone, Badr-Eddine Benkelfat, Jean-Christophe Corvol, Marie Vidailhet, Stéphane Lehéricy, Habib Benali:
X-vectors: New Quantitative Biomarkers for Early Parkinson's Disease Detection from Speech. - Kamran Ali, Alex X. Liu, Eugene Chai, Karthik Sundaresan:
Monitoring Browsing Behavior of Customers in Retail Stores via RFID Imaging. - Pavan Yedavalli, Krishna Kumar, Paul Waddell:
Microsimulation Analysis for Network Traffic Assignment (MANTA) at Metropolitan-Scale for Agile Transportation Planning. - Tuyen Trung Truong, Tuan Hang Nguyen:
Asymptotic behaviour of learning rates in Armijo's condition. - Keegan Lensink, Issam H. Laradji, Marco Law, Paolo Emilio Barbano, Savvas Nicolaou, William Parker, Eldad Haber:
Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients. - Rasoul Shafipour, Gonzalo Mateos:
Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information. - Filipe Pereira, Daniel Selva:
Tradespace analysis of GNSS Space Segment Architectures. - Jairo Viola, YangQuan Chen, Jing Wang:
Information-Based Model Discrimination for Digital Twin Behavioral Matching. - Prateek Bansal, Rico Krueger, Daniel J. Graham:
Fast Bayesian Estimation of Spatial Count Data Models. - Nayana Das, Goutam Paul:
Cryptanalysis of Quantum Secure Direct Communication Protocol with Mutual Authentication Based on Single Photons and Bell States. - Rachel A. Smullen, Kathryn Volk:
Machine Learning Classification of Kuiper Belt Populations. - Trygve Olav Fossum, Cédric Travelletti, Jo Eidsvik, David Ginsbourger, Kanna Rajan:
Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling. - Maryam Rahbaralam, David Modesto, Jaume Cardús, Amir Abdollahi, Fernando M. Cucchietti:
Predictive Analytics for Water Asset Management: Machine Learning and Survival Analysis. - Dongrui Wu, Ruimin Peng, Jian Huang, Zhigang Zeng:
Transfer Learning for Brain-Computer Interfaces: A Complete Pipeline. - Christoph Muehlmann, Klaus Nordhausen, Mengxi Yi:
On Cokriging, Neural Networks, and Spatial Blind Source Separation for Multivariate Spatial Prediction. - Joshua E. Siegel, Umberto Coda:
Surveying Off-Board and Extra-Vehicular Monitoring and Progress Towards Pervasive Diagnostics. - Salih Gündüz, Umut Ugurlu, Ilkay Öksüz:
Transfer Learning for Electricity Price Forecasting. - Sergey E. Golovenkin, Jonathan Bac, Alexander Chervov, Evgeny M. Mirkes, Yuliya V. Orlova, Emmanuel Barillot, Alexander N. Gorban, Andrei Yu. Zinovyev:
Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data. - Elie Bretin, Simon Masnou, Arnaud Sengers, Garry Terii:
Approximation of surface diffusion flow: a second order variational Cahn-Hilliard model with degenerate mobilities. - Ce Liu:
Stability in Repeated Matching Markets. - Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Luc Rey-Bellet, Jie Wang:
A Variational Formula for Rényi Divergences. - Franco Matzkin, Virginia F. J. Newcombe, Susan Stevenson, Aneesh Khetani, Tom Newman, Richard Digby, Andrew Stevens, Ben Glocker, Enzo Ferrante:
Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy. - A. L. Peirson, R. W. Romani, H. L. Marshall, J. F. Steiner, L. Baldini:
Deep Ensemble Analysis for Imaging X-ray Polarimetry. - Mohit Bansil:
Computational Semi-Discrete Optimal Transport with General Storage Fees. - Yiwei Qiu, Jin Lin, Xiaoshuang Chen, Feng Liu, Yonghua Song:
Fast Monte Carlo Simulation of Dynamic Power Systems Under Continuous Random Disturbances. - Kamran Ali, Alex X. Liu:
Fine-grained Vibration Based Sensing Using a Smartphone. - Chuang Niu, Wenxiang Cong, Fenglei Fan, Hongming Shan, Mengzhou Li, Jimin Liang, Ge Wang:
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction. - Valentin Leplat, Nicolas Gillis, Cédric Févotte:
Multi-Resolution Beta-Divergence NMF for Blind Spectral Unmixing. - Arash Vahdat, Jan Kautz:
NVAE: A Deep Hierarchical Variational Autoencoder. - Surabhi Punjabi, Harish Arsikere, Zeynab Raeesy, Chander Chandak, Nikhil Bhave, Ankish Bansal, Markus Müller, Sergio Murillo, Ariya Rastrow, Sri Garimella, Roland Maas, Mat Hans, Athanasios Mouchtaris, Siegfried Kunzmann:
Streaming End-to-End Bilingual ASR Systems with Joint Language Identification. - Fangxin Liu, Wenbo Zhao, Yanzhi Wang, Changzhi Dai, Li Jiang:
AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks. - Urban Larsson, Richard J. Nowakowski:
Atomic weights and the combinatorial game of Bipass. - Chunwei Tian, Yong Xu, Wangmeng Zuo, Bo Du, Chia-Wen Lin, David Zhang:
Designing and Training of A Dual CNN for Image Denoising. - Tomer Yeminy, Ori Katz:
Guidestar-free image-guided wavefront-shaping. - Julien Baste, Stefan Ehard, Dieter Rautenbach:
Non-monotone target sets for threshold values restricted to 0, 1, and the vertex degree. - Tom Lefebvre, Guillaume Crevecoeur:
On Entropic Optimization and Path Integral Control. - Adam Stooke, Joshua Achiam, Pieter Abbeel:
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods. - Konstantin Avrachenkov, Vivek S. Borkar, Sharayu Moharir, Suhail M. Shah:
Dynamic social learning under graph constraints. - Elena Zamaraeva, Jovisa D. Zunic:
Asymptotics of the number of 2-threshold functions. - Elena Zamaraeva, Jovisa D. Zunic:
A characterization of 2-threshold functions via pairs of prime segments. - Simon Veldkamp, Kirien Whan, Sjoerd Dirksen, Maurice Schmeits:
Statistical post-processing of wind speed forecasts using convolutional neural networks. - Yiping Jiang, Tianshi Chen:
Accelerated Sparse Bayesian Learning via Screening Test and Its Applications. - Philipp Roser, Xia Zhong, Annette Birkhold, Alexander Preuhs, Christopher Syben, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier:
Simultaneous Estimation of X-ray Back-Scatter and Forward-Scatter using Multi-Task Learning. - Giulia Bertaglia, Lorenzo Pareschi:
Hyperbolic models for the spread of epidemics on networks: kinetic description and numerical methods. - Micha Sharir, Noam Solomon:
Incidences with curves in three dimensions. - Lakshay Chauhan, John Alberg, Zachary C. Lipton:
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing. - Erwin Adi, Adnan Anwar, Zubair A. Baig, Sherali Zeadally:
Machine learning and data analytics for the IoT. - Christoph Molnar, Gunnar König, Julia Herbinger, Timo Freiesleben, Susanne Dandl, Christian A. Scholbeck, Giuseppe Casalicchio, Moritz Grosse-Wentrup, Bernd Bischl:
Pitfalls to Avoid when Interpreting Machine Learning Models. - Abhinav Shukla, Stavros Petridis, Maja Pantic:
Learning Speech Representations from Raw Audio by Joint Audiovisual Self-Supervision. - (Withdrawn) Impact of the COVID-19 Pandemic on Fundamental Physics Research.
- Patryk Gierjatowicz, Marc Sabate Vidales, David Siska, Lukasz Szpruch, Zan Zuric:
Robust pricing and hedging via neural SDEs. - Martino Borello, Patrick Solé:
The uncertainty principle over finite fields. - Angela Capel, Jesús Ocáriz:
Approximation with Neural Networks in Variable Lebesgue Spaces. - Yu-Chiung Lin, Jiun-Huei Proty Wu:
Detection of Gravitational Waves Using Bayesian Neural Networks. - Hamed Amini, Andreea Minca:
Pandemic Risks and Equilibrium Social Distancing in Heterogeneous Networks. - David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Jeremy Lynch, Matthew Townend, Antanas Montvila, Juveria Siddiqui, Naveen Gadapa, Matthew Benger, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Labelling imaging datasets on the basis of neuroradiology reports: a validation study. - Pranav Gokhale, Samantha Koretsky, Shilin Huang, Swarnadeep Majumder, Andrew Drucker, Kenneth R. Brown, Frederic T. Chong:
Quantum Fan-out: Circuit Optimizations and Technology Modeling. - Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson, R. S. Vishwanath, Abishek Balachandran, James M. Balter, Yue Cao, Ramandeep Singh, Subba R. Digumarthy, Mannudeep K. Kalra, Sasa Grbic, Dorin Comaniciu:
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment. - Rémi Bardenet, Subhroshekhar Ghosh:
Learning from DPPs via Sampling: Beyond HKPV and symmetry. - Chunwei Tian, Ruibin Zhuge, Zhihao Wu, Yong Xu, Wangmeng Zuo, Chen Chen, Chia-Wen Lin:
Lightweight image super-resolution with enhanced CNN. - Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane:
Journey Towards Tiny Perceptual Super-Resolution. - Brian Lucena:
StructureBoost: Efficient Gradient Boosting for Structured Categorical Variables. - Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Eftim Zdravevski:
An Efficient Data Imputation Technique for Human Activity Recognition. - Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound. - Matthew J. Holland:
Making learning more transparent using conformalized performance prediction. - Ha Young Shin, Hee-Seok Oh:
Robust Geodesic Regression. - Brian Bullins, Kevin A. Lai:
Higher-order methods for convex-concave min-max optimization and monotone variational inequalities. - Yunpeng Zhao:
On Optimal Uniform Concentration Inequalities for Discrete Entropies in the High-dimensional Setting. - Darpan Kumar Yadav, Kartik Mundra, Rahul Modpur, Arpan Chattopadhyay, Indra Narayan Kar:
Efficient detection of adversarial images. - Lu Ou, Shaolin Liao:
Ultra-sensitive Parity-Time Symmetry based Graphene FET (PTS-GFET) Sensors. - Haojie Liu, Ming Lu, Zhan Ma, Fan Wang, Zhihuang Xie, Xun Cao, Yao Wang:
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model. - Yi Ren, Xu Tan, Tao Qin, Jian Luan, Zhou Zhao, Tie-Yan Liu:
DeepSinger: Singing Voice Synthesis with Data Mined From the Web. - Jean Furstoss, Carole Petit, Andrea Tommasi, Clément Ganino, Daniel Pino Muñoz, Marc Bernacki:
On the role of solute drag in reconciling laboratory and natural constraints on olivine grain growth kinetics. - Alejandro Carballosa, Mariamo Mussa-Juane, Alberto P. Muñuzuri:
Incorporating social opinion in the evolution of an epidemic spread. - Hye-jin Shim, Jee-weon Jung, Ju-ho Kim, Ha-Jin Yu:
Capturing scattered discriminative information using a deep architecture in acoustic scene classification. - Giovanni Zini, Ferdinando Zullo:
Scattered subspaces and related codes. - Yusuf Civan, Zakir Deniz, Mehmet Akif Yetim:
Order-sensitive domination in partially ordered sets. - Nan Wang, Chengwei Chen, Yuan Xie, Lizhuang Ma:
Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network. - Mayank Patwari, Ralf Gutjahr, Rainer Raupach, Andreas K. Maier:
JBFnet - Low Dose CT Denoising by Trainable Joint Bilateral Filtering. - Mayank Patwari, Ralf Gutjahr, Rainer Raupach, Andreas K. Maier:
Low Dose CT Denoising via Joint Bilateral Filtering and Intelligent Parameter Optimization. - Dominik Müller, Iñaki Soto Rey, Frank Kramer:
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net. - Arijit Sehanobish, Neal G. Ravindra, David van Dijk:
Self-supervised edge features for improved Graph Neural Network training. - Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu:
Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE. - Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Medical Instrument Detection in Ultrasound-Guided Interventions: A Review. - Binh Tang, David S. Matteson:
Graph-Based Continual Learning. - Victor-Bogdan Popescu, Krishna Kanhaiya, Iulian Nastac, Eugen Czeizler, Ion Petre:
Identifying efficient controls of complex interaction networks using genetic algorithms. - Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin:
Guiding Deep Molecular Optimization with Genetic Exploration. - Haotian Feng, Pavana Prabhakar:
Difference-Based Deep Learning Framework for Stress Predictions in Heterogeneous Media. - Kunal Sharma, Marco Cerezo, Zoë Holmes, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles:
Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets. - Zhiheng Li, Geemi P. Wellawatte, Maghesree Chakraborty, Heta A. Gandhi, Chenliang Xu, Andrew D. White:
Graph Neural Network Based Coarse-Grained Mapping Prediction. - Alexander A. Ponomarenko, Dmitry V. Sirotkin:
Dota Underlords game is NP-complete. - Tom Lovett, Mark Briers, Marcos Charalambides, Radka Jersakova, James Lomax, Chris C. Holmes:
Inferring proximity from Bluetooth Low Energy RSSI with Unscented Kalman Smoothers. - Keshav Vemuri, Nathan Srebro:
Predictive Value Generalization Bounds. - Pierluigi Colli, Héctor Gómez, Guillermo Lorenzo, Gabriela Marinoschi, Alessandro Reali, Elisabetta Rocca:
Optimal control of cytotoxic and antiangiogenic therapies on prostate cancer growth. - William F. Podlaski, Christian K. Machens:
Biological credit assignment through dynamic inversion of feedforward networks. - Yijun Zhao, Jacek Ossowski, Xuming Wang, Shangjin Li, Orrin Devinsky, Samantha P. Martin, Heath R. Pardoe:
Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques. - Muhammad Rafiqul Islam, Manoranjan Paul:
Rain Streak Removal in a Video to Improve Visibility by TAWL Algorithm. - Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang:
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic. - Pengxia Wu, Julian Cheng:
Acquiring Measurement Matrices via Deep Basis Pursuit for Sparse Channel Estimation in mmWave Massive MIMO Systems. - Ajitesh Srivastava, Tianjian Xu, Viktor K. Prasanna:
Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJα Model. - Athanasios-Rafail Lagos, Ioannis Kordonis, George P. Papavassilopoulos:
Games of Social Distancing during an Epidemic: Local vs Statistical Information. - Manoranjan Paul, Sourabhi Debnath, Tanmoy Debnath, Suzy Y. Rogiers, Tintu Baby, D. M. Motiur Rahaman, Lihong Zheng, Leigh M. Schmidtke:
Hyperspectral Imaging to detect Age, Defects and Individual Nutrient Deficiency in Grapevine Leaves. - Rui Li, Qi Zhang, Tianguang Chu:
On quotients of Boolean control networks. - Yuhui Ma, Huaying Hao, Huazhu Fu, Jiong Zhang, Jianlong Yang, Jiang Liu, Yalin Zheng, Yitian Zhao:
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model. - Jaeyoung Huh, Shujaat Khan, Jong Chul Ye:
OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal using a Single CNN. - Hyeonseung Lee, Woo Hyun Kang, Sung Jun Cheon, Hyeongju Kim, Nam Soo Kim:
Gated Recurrent Context: Softmax-free Attention for Online Encoder-Decoder Speech Recognition. - Chen Liu, Jiaqi Fan, Guosheng Yin:
Efficient Unpaired Image Dehazing with Cyclic Perceptual-Depth Supervision. - Zhongqiang Liu:
Automatic Segmentation of Non-Tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks. - Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu:
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution. - Ginestra Bianconi, Hanlin Sun, Giacomo Rapisardi, Alex Arenas:
A message-passing approach to epidemic tracing and mitigation with apps. - Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Elbrich M. Postma, Paul A. M. Smeets, Richard A. P. Takx, Tim Leiner, Max A. Viergever, Ivana Isgum:
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images. - Slawomir Kapka:
ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection. - Stefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler, Amirhossein Bayat, Giles Tetteh, Vasilis Ntziachristos, Bjoern H. Menze:
A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images. - Mikhail Hayhoe, Francisco Barreras, Victor M. Preciado:
A Dynamical Approach to Efficient Eigenvalue Estimation in General Multiagent Networks. - Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu:
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation. - David Hülsmeier, Marc René Schädler, Birger Kollmeier:
Towards accurate simulations of individual speech recognition benefits with real hearing aids with FADE. - Mario Miscuglio, Yaliang Gui, Xiaoxuan Ma, Shuai Sun, Tarek A. El-Ghazawi, Tatsuo Itoh, Andrea Alù, Volker J. Sorger:
Analog Computing with Metatronic Circuits. - Owen G. Ward, Zhen Huang, Andrew Davison, Tian Zheng:
Next Waves in Veridical Network Embedding. - Chinedu Innocent Nwoye, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets. - Anthony L. Caterini, Robert Cornish, Dino Sejdinovic, Arnaud Doucet:
Variational Inference with Continuously-Indexed Normalizing Flows. - Duong-Hung Pham, Adrian Basarab, Ilyess Zemmoura, Jean-Pierre Remenieras, Denis Kouame:
Joint Blind Deconvolution and Robust Principal Component Analysis for Blood Flow Estimation in Medical Ultrasound Imaging. - Akshay J. Dave, Jarod Wilson, Kaichao Sun:
Deep Surrogate Models for Multi-dimensional Regression of Reactor Power. - Prasitthichai Naronglerdrit, Iosif Mporas:
Evaluation of Big Data based CNN Models in Classification of Skin Lesions with Melanoma. - Santiago Mazuelas, Yuan Shen, Aritz Pérez:
Generalized Maximum Entropy for Supervised Classification. - Cristina González, María Escobar, Laura Alexandra Daza, Felipe Torres, Gustavo Triana, Pablo Arbeláez:
SIMBA: Specific Identity Markers for Bone Age Assessment. - Matthias Christandl, Fulvio Gesmundo, Mateusz Michalek, Jeroen Zuiddam:
Border rank non-additivity for higher order tensors. - Louis M. Shekhtman, Alon Sela, Shlomo Havlin:
Percolation framework reveals limits of privacy in Conspiracy, Dark Web, and Blockchain networks. - Sergey Bravyi, Theodore J. Yoder, Dmitri Maslov:
Efficient ancilla-free reversible and quantum circuits for the Hidden Weighted Bit function. - Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos:
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. - Alexander Kocian, Luca Incrocci:
Learning from Data to Optimize Control in Precision Farming. - Lucas Pedrosa Soares, Cesar P. Soares:
Automatic Detection of COVID-19 Cases on X-ray images Using Convolutional Neural Networks. - Faraz Ashtiani, Vijay Sarthy M. Sreedhara, Ardalan Vahidi, Randolph Hutchison, Gregory M. Mocko:
Experimental Modeling of Cyclists Fatigue and Recovery Dynamics Enabling Optimal Pacing in a Time Trial. - Sait Cakmak, Raul Astudillo, Peter I. Frazier, Enlu Zhou:
Bayesian Optimization of Risk Measures. - Boyi Liu, Bingjie Yan, Yize Zhou, Yifan Yang, Yixian Zhang:
Experiments of Federated Learning for COVID-19 Chest X-ray Images. - Siddharth Biswal, Peiye Zhuang, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Jimeng Sun:
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision. - Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. - March Boedihardjo, Shaofeng Deng, Thomas Strohmer:
A Performance Guarantee for Spectral Clustering. - Alexandra Koulouri, Pia Heins, Martin Burger:
Adaptive Superresolution in Deconvolution of Sparse Peaks. - Mitchell Harris, Thomas Kalinowski:
Convex Hulls for Graphs of Quadratic Functions With Unit Coefficients: Even Wheels and Complete Split Graphs. - Yi-Chiao Wu, Tomoki Hayashi, Patrick Lumban Tobing, Kazuhiro Kobayashi, Tomoki Toda:
Quasi-Periodic WaveNet: An Autoregressive Raw Waveform Generative Model with Pitch-dependent Dilated Convolution Neural Network. - Yimin Huang, Yujun Li, Zhenguo Li, Zhihua Zhang:
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization. - Xuejiao Liu, Xueshuang Xiang:
How Does GAN-based Semi-supervised Learning Work? - Andrea Scotti, Nima N. Moghadam, Dong Liu, Karl Gafvert, Jinliang Huang:
Graph Neural Networks for Massive MIMO Detection. - Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos:
Towards Robust Classification with Deep Generative Forests. - Hedda Cohen Indelman, Tamir Hazan:
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization. - Siddhartha Ganguly, Manas Kumar Bera, Prasanta Roy:
Robust Tracking and Model Following Controller Based on Higher Order Sliding Mode Control and Observation: With an Application to MagLev System. - Ankit Sharma, Puneet Kumar, Vikas Maddukuri, Nagasai Madamshettib, Kishore KG, Sahit Sai Sriram Kavurub, Balasubramanian Raman, Partha Pratim Roy:
Fast Griffin Lim based Waveform Generation Strategy for Text-to-Speech Synthesis. - Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith:
Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models. - Nikolaos A. Laskaris, Dimitrios A. Adamos, Anastasios Bezerianos:
A Tutorial on Graph Theory for Brain Signal Analysis. - Leonardo Nagami Coregliano, Fernando Granha Jeronimo:
Tighter Bounds on the Independence Number of the Birkhoff Graph. - Bobby He, Balaji Lakshminarayanan, Yee Whye Teh:
Bayesian Deep Ensembles via the Neural Tangent Kernel. - Yue Xiu, Jun Zhao, Wei Sun, Marco Di Renzo, Guan Gui, Zhongpei Zhang, Ning Wei:
Reconfigurable Intelligent Surfaces Aided mmWave NOMA: Joint Power Allocation,Phase Shifts, and Hybrid Beamforming Optimization. - Siavash Alemzadeh, Hesam Talebiyan, Shahriar Talebi, Leonardo Dueñas-Osorio, Mehran Mesbahi:
Deep Learning-based Resource Allocation for Infrastructure Resilience. - Zihao Zhou, Weipeng Guan, Shangsheng Wen:
Recognition and evaluation of constellation diagram using deep learning based on underwater wireless optical communication. - Xian Shi, Qiangze Feng, Lei Xie:
The ASRU 2019 Mandarin-English Code-Switching Speech Recognition Challenge: Open Datasets, Tracks, Methods and Results. - Linglong Dai, Ruicheng Jiao, Fumiyuki Adachi, H. Vincent Poor, Lajos Hanzo:
Deep Learning for Wireless Communications: An Emerging Interdisciplinary Paradigm. - Rabinder Kumar Prasad, Rosy Sarmah, Subrata Chakraborty:
Changing Clusters of Indian States with respect to number of Cases of COVID-19 using incrementalKMN Method. - Tomi Kinnunen, Héctor Delgado, Nicholas W. D. Evans, Kong Aik Lee, Ville Vestman, Andreas Nautsch, Massimiliano Todisco, Xin Wang, Md. Sahidullah, Junichi Yamagishi, Douglas A. Reynolds:
Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification: Fundamentals. - An Zeng, Ying Fan, Zengru Di, Yougui Wang, Shlomo Havlin:
The critical role of fresh teams in creating original and multi-disciplinary research. - Chen Qin, Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M. Summers, Daniel Rueckert:
Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction. - William J. Wilkinson, Paul E. Chang, Michael Riis Andersen, Arno Solin:
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes. - Daniel Vidali Fryer, Inga Strümke, Hien D. Nguyen:
Explaining the data or explaining a model? Shapley values that uncover non-linear dependencies. - Dongmi Luo, Jianxian Qiu, Jun Zhu, Yibing Chen:
A quasi-conservative discontinuous Galerkin method for multi-component flows using the non-oscillatory kinetic flux. - Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li:
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. - Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy, Ragesh Rajan M, Prashant Krishnan V:
NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling. - Andy T. Liu, Shang-wen Li, Hung-yi Lee:
TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech. - Ruixin Wang, Prateek Jaiswal, Harsha Honnappa:
Estimating Stochastic Poisson Intensities Using Deep Latent Models. - Michael C. Lucic, Hakim Ghazzai, Yehia Massoud:
Elevated LiDAR Placement under Energy and Throughput Capacity Constraints. - Berkay Turan, Mahnoosh Alizadeh:
Competition in Electric Autonomous Mobility on Demand Systems. - Feng Wang, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar:
Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning. - Manu Basavaraju, Arijit Bishnu, Mathew C. Francis, Drimit Pattanayak:
The linear arboricity conjecture for 3-degenerate graphs. - Jules Depersin:
A spectral algorithm for robust regression with subgaussian rates. - Ali Hasan, João M. Pereira, Sina Farsiu, Vahid Tarokh:
Learning latent stochastic differential equations with variational auto-encoders. - Mudit Verma, Arun Balaji Buduru:
Fine-grained Language Identification with Multilingual CapsNet Model. - John Martyn, Guifre Vidal, Chase Roberts, Stefan Leichenauer:
Entanglement and Tensor Networks for Supervised Image Classification. - Yakov Berchenko-Kogan:
Numerically computing the index of mean curvature flow self-shrinkers. - Théo Guénais, Dimitris Vamvourellis, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan:
BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty. - Javad Sharafi, Mohsen Mehrali-Varjani:
Low-Complexity Set-Membership Normalized LMS Algorithm for Sparse System Modeling. - Youngjoon Hong, Bongsuk Kwon, Byung-Jun Yoon:
Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations. - Khalil Elkhalil, Ali Hasan, Jie Ding, Sina Farsiu, Vahid Tarokh:
Fisher Auto-Encoders. - Xingang Yan, Weiwen Jiang, Yiyu Shi, Cheng Zhuo:
MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation. - Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila:
Approximations of the Reproducing Kernel Hilbert Space (RKHS) Embedding Method over Manifolds. - Tetsuya Kaji, Elena Manresa, Guillaume Pouliot:
An Adversarial Approach to Structural Estimation. - Siwei Yu, Jianwei Ma:
Data-driven geophysics: from dictionary learning to deep learning. - Nick A. Phillips, Pranav Rajpurkar, Mark Sabini, Rayan Krishnan, Sharon Zhou, Anuj Pareek, Nguyet Minh Phu, Chris Wang, Andrew Y. Ng, Matthew P. Lungren:
CheXphoto: 10, 000+ Smartphone Photos and Synthetic Photographic Transformations of Chest X-rays for Benchmarking Deep Learning Robustness. - Yair Ashlagi, Lee-Ad Gottlieb, Aryeh Kontorovich:
Functions with average smoothness: structure, algorithms, and learning. - Alexey Tikhonov, Ivan P. Yamshchikov:
Drum Beats and Where To Find Them: Sampling Drum Patterns from a Latent Space. - Anastasiya V. Dolmatova, Marina V. Chukalina, Dmitry P. Nikolaev:
Accelerated FBP for computed tomography image reconstruction. - Yoav Kolumbus, Noam Nisan:
On the Effectiveness of Tracking and Testing in SEIR Models. - Janis Klaise, Arnaud Van Looveren, Clive Cox, Giovanni Vacanti, Alexandru Coca:
Monitoring and explainability of models in production. - Andreas Elben, Richard Kueng, Hsin-Yuan Huang, Rick van Bijnen, Christian Kokail, Marcello Dalmonte, Pasquale Calabrese, Barbara Kraus, John Preskill, Peter Zoller, Benoît Vermersch:
Mixed-state entanglement from local randomized measurements. - Andreas Löhne:
Approximate Vertex Enumeration. - Shunjie Dong, Jinlong Zhao, Maojun Zhang, Zhengxue Shi, Jianing Deng, Yiyu Shi, Mei Tian, Cheng Zhuo:
DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation. - Adrien Bitton, Philippe Esling, Tatsuya Harada:
Vector-Quantized Timbre Representation. - Valentin De Bortoli, Alain Durmus, Xavier Fontaine, Umut Simsekli:
Quantitative Propagation of Chaos for SGD in Wide Neural Networks. - Dario Azzimonti, Manuel Schürch, Alessio Benavoli, Marco Zaffalon:
Orthogonally Decoupled Variational Fourier Features. - Jinglu Zhang, Yinyu Nie, Yao Lyu, Hailin Li, Jian Chang, Xiaosong Yang, Jian-Jun Zhang:
Symmetric Dilated Convolution for Surgical Gesture Recognition. - Jeannette C. M. Janssen, Aaron Smith:
Reconstruction of Line-Embeddings of Graphons. - Prosenjit Bose, Vida Dujmovic, Mehrnoosh Javarsineh, Pat Morin:
Asymptotically Optimal Vertex Ranking of Planar Graphs. - Marcello Colasante, Attilio Meucci:
Minimum Relative Entropy Inference for Normal and Monte Carlo Distributions. - Marc Abeille, Alessandro Lazaric:
Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation. - Emir Demirel, Sven Ahlbäck, Simon Dixon:
Automatic Lyrics Transcription using Dilated Convolutional Neural Networks with Self-Attention. - Weixiang Li, Wei Jie, Somaiyeh Mahmoud Zadeh:
Single Image Dehazing Algorithm Based on Sky Region Segmentation. - Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher:
Random extrapolation for primal-dual coordinate descent. - Rajesh Kumar, Abdullah Aman Khan, Sinmin Zhang, Wenyong Wang, Yousif Abuidris, Waqas Amin, Jay Kumar:
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging. - Jan Gwinner, Marcin Brianski, Wojciech Burkot, Lukasz Czerwinski, Vladyslav Hlembotskyi:
Benchmarking 16-element quantum search algorithms on IBM quantum processors. - John Heerfordt, Kevin K. Whitehead, Jessica A. M. Bastiaansen, Lorenzo Di Sopra, Christopher W. Roy, Jérôme Yerly, Bastien Milani, Mark A. Fogel, Matthias Stuber, Davide Piccini:
Free-running SIMilarity-Based Angiography (SIMBA) for simplified anatomical MR imaging of the heart. - Blair L. Bilodeau, Jeffrey Negrea, Daniel M. Roy:
Relaxing the I.I.D. Assumption: Adaptive Minimax Optimal Sequential Prediction with Expert Advice. - Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi:
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. - Zhongling Wang, Mahdi S. Hosseini, Adyn Miles, Konstantinos N. Plataniotis, Zhou Wang:
FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology. - Michaela A. C. Vollmer, Ben Glampson, Thomas A. Mellan, Swapnil Mishra, Luca Mercuri, Ceire Costelloe, Robert Klaber, Graham S. Cooke, Seth R. Flaxman, Samir Bhatt:
A unified machine learning approach to time series forecasting applied to demand at emergency departments. - Christopher J. Bishop:
Conformal mapping in linear time. - Davide Gerosa, Geraint Pratten, Alberto Vecchio:
Gravitational-wave selection effects using neural-network classifiers. - Amirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold, Christian Payer, Darko Stern, Martin Urschler, Jan S. Kirschke, Bjoern H. Menze:
Inferring the 3D Standing Spine Posture from 2D Radiographs. - Parisa Golbayani, Ionut Florescu, Rupak Chatterjee:
A comparative study of forecasting Corporate Credit Ratings using Neural Networks, Support Vector Machines, and Decision Trees. - Michael Taynnan Barros, Phuong Doan, Meenakshisundaram Kandhavelu, Brendan Jennings, Sasitharan Balasubramaniam:
Engineering Calcium Signaling of Astrocytes for Neural-Molecular Computing Logic Gates. - Richard Afoakwa, Yiqiao Zhang, Uday Kumar Reddy Vengalam, Zeljko Ignjatovic, Michael C. Huang:
CMOS Ising Machines with Coupled Bistable Nodes. - Emanuel Joos, Fabien Péan, Orçun Göksel:
Reinforcement Learning of Musculoskeletal Control from Functional Simulations. - Lucas Pedrosa Soares, Helen Cristina Dias, Carlos Henrique Grohmann:
Landslide Segmentation with U-Net: Evaluating Different Sampling Methods and Patch Sizes. - Jeff Calder, Nicolás García Trillos, Marta Lewicka:
Lipschitz regularity of graph Laplacians on random data clouds. - You Li, Ruizhi Chen, Xiaoji Niu, Yuan Zhuang, Zhouzheng Gao, Xin Hu, Naser El-Sheimy:
Inertial Sensing Meets Artificial Intelligence: Opportunity or Challenge? - Andrey Rukhin:
On the Parallel Tower of Hanoi Puzzle: Acyclicity and a Conditional Triangle Inequality. - Anjaly Parayil, He Bai, Jemin George, Prudhvi Gurram:
A Decentralized Approach to Bayesian Learning. - Ishan D. Khurjekar, Joel B. Harley:
Uncertainty Aware Deep Neural Network for Multistatic Localization with Application to Ultrasonic Structural Health Monitoring. - Waqas Aman, Muhammad Mahboob Ur Rahman, Hasan T. Abbas, Muhammad Arslan Khalid, Muhammad Ali Imran, Akram Alomainy, Qammer H. Abbasi:
Securing the Insecure: A First-Line-of-Defense for Nanoscale Communication Systems Operating in THz Band. - Waqas Aman, Muhammad Mahboob Ur Rahman, Shuja Ansari, Ali Arshad Nasir, Khalid A. Qaraqe, Muhammad Ali Imran, Qammer H. Abbasi:
On the Effective Capacity of IRS assisted wireless communication. - Yaroslav Averyanov, Alain Celisse:
Early stopping and polynomial smoothing in regression with reproducing kernels. - Efthymios Tzinis, Zhepei Wang, Paris Smaragdis:
Sudo rm -rf: Efficient Networks for Universal Audio Source Separation. - Jungsik Hwang:
Modeling Financial Time Series using LSTM with Trainable Initial Hidden States. - Walid Krichene, Kenneth F. Caluya, Abhishek Halder:
Global Convergence of Second-order Dynamics in Two-layer Neural Networks. - Roel Henckaerts, Katrien Antonio, Marie-Pier Côté:
Model-Agnostic Interpretable and Data-driven suRRogates suited for highly regulated industries. - Claudia Lenk, Lars Seeber, Martin Ziegler, Philipp Hövel, Stefanie Gutschmidt:
Enabling Adaptive and Enhanced Acoustic Sensing Using Nonlinear Dynamics. - Arijit Ukil, Antonio Jara, Leandro Marín:
SRDCNN: Strongly Regularized Deep Convolution Neural Network Architecture for Time-series Sensor Signal Classification Tasks. - Furqan Jameel, Wali Ullah Khan, Neeraj Kumar, Riku Jäntti:
Efficient Power-Splitting and Resource Allocation for Cellular V2X Communications. - Alexandr Katrutsa, Daniil Merkulov, Nurislam Tursynbek, Ivan V. Oseledets:
Follow the bisector: a simple method for multi-objective optimization. - Islam M. Tanash, Taneli Riihonen:
Global Minimax Approximations and Bounds for the Gaussian Q-Function by Sums of Exponentials. - Balázs Tarján, György Szaszák, Tibor Fegyó, Péter Mihajlik:
Deep Transformer based Data Augmentation with Subword Units for Morphologically Rich Online ASR. - Tommaso Nesti, Fiona Sloothaak, Bert Zwart:
Emergence of scale-free blackout sizes in power grids. - Tiangang Cui, Sergey Dolgov:
Deep Composition of Tensor Trains using Squared Inverse Rosenblatt Transports. - Tímea Csahók, Péter Kutas, Gergely Zábrádi:
Algorithmic applications of the corestriction of central simple algebras. - Alexandre Velloso, Pascal Van Hentenryck:
Combining Deep Learning and Optimization for Security-Constrained Optimal Power Flow. - Issam H. Laradji, Pau Rodríguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vázquez, Derek Nowrouzezahrai:
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images. - Vladimir Golkov, Alexander Becker, Daniel T. Plop, Daniel Cuturilo, Neda Davoudi, Jeffrey L. Mendenhall, Rocco Moretti, Jens Meiler, Daniel Cremers:
Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions. - Mathys Rennela, Alfons Laarman, Vedran Dunjko:
Hybrid divide-and-conquer approach for tree search algorithms. - Daochen Wang, Xuchen You, Tongyang Li, Andrew M. Childs:
Quantum exploration algorithms for multi-armed bandits. - Niamh McCombe, Xuemei Ding, Girijesh Prasad, David P. Finn, Stephen Todd, Paula L. McClean, KongFatt Wong-Lin:
Predicting feature imputability in the absence of ground truth. - Yichen Jia, Jong-Hyeon Jeong:
Deep Learning for Quantile Regression: DeepQuantreg. - Kenan Huremovic, Ali Ihsan Ozkes:
Polarization in networks. - Jorn H. Baayen, Krzysztof Postek:
Hidden invexity in model predictive control. - Philip K. Kristensen, Christian F. Niordson, Emilio Martínez-Pañeda:
A phase field model for elastic-gradient-plastic solids undergoing hydrogen embrittlement. - Di Ma, Fan Zhang, David R. Bull:
MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering. - Samuel Cohen, Michael Arbel, Marc Peter Deisenroth:
Estimating Barycenters of Measures in High Dimensions. - Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati:
On Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models. - Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez:
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks. - Mattia Lecci, Paolo Testolina, Michele Polese, Marco Giordani, Michele Zorzi:
Accuracy vs. Complexity for mmWave Ray-Tracing: A Full Stack Perspective. - Sam Witty, Kenta Takatsu, David D. Jensen, Vikash Mansinghka:
Causal Inference using Gaussian Processes with Structured Latent Confounders. - Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon:
Extendable and invertible manifold learning with geometry regularized autoencoders. - Arturo Merino, Ondrej Micka, Torsten Mütze:
On a combinatorial generation problem of Knuth. - Martin Fischer, Carlo Nicolai, Pablo Dopico Fernandez:
Nonclassical truth with classical strength. A proof-theoretic analysis of compositional truth over HYPE. - Sana Ben Hamida, Wafa Abdelmalek, Fathi Abid:
Applying Dynamic Training-Subset Selection Methods Using Genetic Programming for Forecasting Implied Volatility. - Mrudula Balachander, Shibashis Guha, Jean-François Raskin:
Stackelberg Mean-payoff Games with a Rationally Bounded Adversarial Follower. - Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers:
Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model. - Matthew Willetts, Xenia Miscouridou, Stephen J. Roberts, Chris C. Holmes:
Relaxed-Responsibility Hierarchical Discrete VAEs. - Antonio Briola, Jeremy D. Turiel, Tomaso Aste:
Deep Learning modeling of Limit Order Book: a comparative perspective. - Sebastian J. Schlecht:
Allpass Feedback Delay Networks. - Jobst Heitzig, Sarah Hiller:
Degrees of individual and groupwise backward and forward responsibility in extensive-form games with ambiguity, and their application to social choice problems. - Alexander Camuto, Matthew Willetts, Stephen J. Roberts, Chris C. Holmes, Tom Rainforth:
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders. - Alexander Camuto, Matthew Willetts, Umut Simsekli, Stephen J. Roberts, Chris C. Holmes:
Explicit Regularisation in Gaussian Noise Injections. - Shashwat Sharma, Piero Triverio:
SLIM: A Well-Conditioned Single-Source Boundary Element Method for Modeling Lossy Conductors in Layered Media. - Georg A. Gottwald, Sebastian Reich:
Supervised learning from noisy observations: Combining machine-learning techniques with data assimilation. - Bowen Weng, Huaqing Xiong, Yingbin Liang, Wei Zhang:
Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent. - Suchuan Dong, Naxian Ni:
A Method for Representing Periodic Functions and Enforcing Exactly Periodic Boundary Conditions with Deep Neural Networks. - Alice C. Schwarze, Mason A. Porter:
Motifs for processes on networks. - Xu Wang, Mladen Kolar, Ali Shojaie:
Statistical Inference for Networks of High-Dimensional Point Processes. - Alistair Shilton:
From deep to Shallow: Equivalent Forms of Deep Networks in Reproducing Kernel Krein Space and Indefinite Support Vector Machines. - Manuel Lafond, Ben Seamone, Rezvan Sherkati:
Further results on Hendry's Conjecture. - Zhirui Hu, Zheng Tracy Ke, Jun S. Liu:
Measurement error models: from nonparametric methods to deep neural networks. - Leonardo Novelli, Joseph T. Lizier:
Inferring network properties from time series via transfer entropy and mutual information: validation of bivariate versus multivariate approaches. - Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam:
Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks. - Henrik Lund Mortensen, Søren Ager Meldgaard, Malthe Kjær Bisbo, Mads-Peter V. Christiansen, Bjørk Hammer:
Atomistic Structure Learning Algorithm with surrogate energy model relaxation. - Yong Sheng Soh:
Group Invariant Dictionary Learning. - Abdorrahim Bahrami, Elisabetta De Maria, Joëlle Despeyroux, Amy P. Felty, Pietro Lió, Carlos Olarte:
Computational Logic for Biomedicine and Neurosciences. - Géraldine Bouveret, Antoine Mandel:
Prophylaxis of Epidemic Spreading with Transient Dynamics. - Nicolas Guigui, Xavier Pennec:
Numerical Accuracy of Ladder Schemes for Parallel Transport on Manifolds. - Fatih Gulec, Baris Atakan:
A Molecular Communication Perspective on Airborne Pathogen Transmission and Reception via Droplets Generated by Coughing and Sneezing. - Emilio Aced Fuentes, Simone Santini:
Network navigation using Page Rank random walks. - Pol Henarejos, Miguel Ángel Vázquez:
Decoding 5G-NR Communications via Deep Learning. - Ahmed Elnaqib, Hayate Okuhara, Taekwang Jang, Davide Rossi, Luca Benini:
A 0.5GHz 0.35mW LDO-Powered Constant-Slope Phase Interpolator with 0.22% INL. - Pavel Záviska, Pavel Rajmic, Alexey Ozerov, Lucas Rencker:
A survey and an extensive evaluation of popular audio declipping methods. - Pol Henarejos, Ana I. Pérez-Neira:
3D Polarized Modulation: System Analysis and Performance. - Jenthe Thienpondt, Brecht Desplanques, Kris Demuynck:
Cross-Lingual Speaker Verification with Domain-Balanced Hard Prototype Mining and Language-Dependent Score Normalization. - Yun Yuan, Zhao Zhang, Xianfeng Terry Yang:
Highway Traffic State Estimation Using Physics Regularized Gaussian Process: Discretized Formulation. - Najmesadat Nazemi, Sophie N. Parragh, Walter J. Gutjahr:
Bi-objective facility location in the presence of uncertainty. - Sokbae Lee, Serena Ng:
Sketching for Two-Stage Least Squares Estimation. - Flavien Quijoux, Charles Truong, Aliénor Vienne-Jumeau, Laurent Oudre, François Bertin-Hugault, Philippe Zawieja, Marie Lefèvre, Pierre-Paul Vidal, Damien Ricard:
Meta-analysis parameters computation: a Python approach to facilitate the crossing of experimental conditions. - Vincent Pilaud, Viviane Pons, Daniel Tamayo Jiménez:
Permutree sorting. - Stefan Felsner, Kolja Knauer, Torsten Ueckerdt:
Plattenbauten: Touching Rectangles in Space. - Eoin Hurley, Rémi de Joannis de Verclos, Ross J. Kang:
An improved procedure for colouring graphs of bounded local density. - Prayag Tiwari, Shahram Dehdashti, Abdul Karim Obeid, Massimo Melucci, Peter Bruza:
Kernel Method based on Non-Linear Coherent State. - Andreu Blasco Coll, Gonzalo Vazquez-Vilar, Javier R. Fonollosa:
Generalized Perfect Codes for Symmetric Classical-Quantum Channels. - Loris Nanni, Gianluca Maguolo, Sheryl Brahnam, Michelangelo Paci:
An Ensemble of Convolutional Neural Networks for Audio Classification. - Mohit Bansil, Jun Kitagawa:
W∞-transport with discrete target as a combinatorial matching problem. - Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Felix J. Herrmann:
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows. - Achintya Kumar Sarkar, Himangshu Sarma, Priyanka Dwivedi, Zheng-Hua Tan:
Data augmentation enhanced speaker enrollment for text-dependent speaker verification. - Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yuping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang, Lei Li:
Xiaomingbot: A Multilingual Robot News Reporter. - Zhuoran Qiao, Matthew Welborn, Animashree Anandkumar, Frederick R. Manby, Thomas F. Miller III:
OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features. - Joseph Bae, Saarthak Kapse, Gagandeep Singh, Tej Phatak, Jeremy Green, Nikhil Madan, Prateek Prasanna:
Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study. - Shashank Jere, Qiang Fan, Bodong Shang, Lianjun Li, Lingjia Liu:
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G. - Hamidreza Taghvaee, Akshay Jain, Xavier Timoneda, Christos Liaskos, Sergi Abadal, Eduard Alarcón, Albert Cabellos-Aparicio:
Radiation pattern prediction for Metasurfaces: A Neural Network based approach. - Yang Jiao:
Translate Reverberated Speech to Anechoic Ones: Speech Dereverberation with BERT. - Manuel Aprile, Matthew Drescher, Samuel Fiorini, Tony Huynh:
A Tight Approximation Algorithm for the Cluster Vertex Deletion Problem. - Antonio Blanca, Zongchen Chen, Daniel Stefankovic, Eric Vigoda:
The Swendsen-Wang Dynamics on Trees. - Norihiro Yamada:
Game semantics of Martin-Löf type theory, part III: its consistency with Church's thesis. - Xilin Liu, Haodi Ouyang, Yidong Wang:
Piezoelectric SPDT NEMS Switch for Complementary Logic. - Yeshwanth Cherapanamjeri, Efe Aras, Nilesh Tripuraneni, Michael I. Jordan, Nicolas Flammarion, Peter L. Bartlett:
Optimal Robust Linear Regression in Nearly Linear Time. - Jiguang He, Henk Wymeersch, Markku J. Juntti:
Channel Estimation for RIS-Aided mmWave MIMO Systems via Atomic Norm Minimization. - Boqing Zhu, Kele Xu, Qiuqiang Kong, Huaimin Wang, Yuxing Peng:
Audio Tagging by Cross Filtering Noisy Labels. - Martin Reiche, Peter Jung:
DeepInit Phase Retrieval. - Ali H. Al-Timemy, Rami N. Khushaba, Zahraa M. Mosa, Javier Escudero:
An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings. - Simindokht Jahangard, Mohammad Hossein Zangooei, Maysam Shahedi:
U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images. - Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang:
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China. - Yeunju Choi, Youngmoon Jung, Hoirin Kim:
Neural MOS Prediction for Synthesized Speech Using Multi-Task Learning With Spoofing Detection and Spoofing Type Classification. - Neha Jain, Nir Shlezinger, Bhawna Tiwari, Yonina C. Eldar, Anubha Gupta, Vivek Ashok Bohara, Pydi Ganga Bahubalindruni:
eSampling: Energy Harvesting ADCs. - Gunnar König, Christoph Molnar, Bernd Bischl, Moritz Grosse-Wentrup:
Relative Feature Importance. - Tobias Friedrich, Andreas Göbel, Martin S. Krejca, Marcus Pappik:
Polymer dynamics via cliques with applications to hard-sphere mixtures. - Jianqing Fan, Zhuoran Yang, Mengxin Yu:
Understanding Implicit Regularization in Over-Parameterized Nonlinear Statistical Model. - Teng Liu, Xiaolin Tang, Jiaxin Chen, Hong Wang, Wenhao Tan, Yalian Yang:
Transferred Energy Management Strategies for Hybrid Electric Vehicles Based on Driving Conditions Recognition. - Ryan Cohn, Elizabeth A. Holm:
Unsupervised machine learning via transfer learning and k-means clustering to classify materials image data. - Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou:
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention. - Wenhao Gao, Sai Pooja Mahajan, Jeremias Sulam, Jeffrey J. Gray:
Deep Learning in Protein Structural Modeling and Design. - Hu Hu, Chao-Han Huck Yang, Xianjun Xia, Xue Bai, Xin Tang, Yajian Wang, Shutong Niu, Li Chai, Juanjuan Li, Hongning Zhu, Feng Bao, Yuanjun Zhao, Sabato Marco Siniscalchi, Yannan Wang, Jun Du, Chin-Hui Lee:
Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation. - Norman E. Fenton, Martin Neil, Steven Frazier:
The role of collider bias in understanding statistics on racially biased policing. - Xiaoqian Sun, Sebastian Wandelt, Anming Zhang:
On the degree of synchronization between air transport connectivity and COVID-19 cases at worldwide level. - Min-hwan Oh, Garud Iyengar, Assaf Zeevi:
Sparsity-Agnostic Lasso Bandit. - Matteo Quattropani, Marco Scarsini:
Efficiency of equilibria in random binary games. - Job Formsma, Teymoor Saifollahi:
In search of the weirdest galaxies in the Universe. - Joseph Suk, Samory Kpotufe:
Self-Tuning Bandits over Unknown Covariate-Shifts. - Mahsa Keshavarz, Alireza Shamsoshoara, Fatemeh Afghah, Jonathan D. Ashdown:
Real-time Framework for Trust Monitoring in aNetwork of Unmanned Aerial Vehicles. - Ehsan Kabir, Syed Mohammad Ashab Uddin, Sayeed Shafayet Chowdhury:
Optimization of Surface Plasmon Resonance Biosensor for Analysis of Lipid Molecules. - Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan:
Dynamic Low-light Imaging with Quanta Image Sensors. - Francesco Borra, Angelo Vulpiani, Massimo Cencini:
Effective models and predictability of chaotic multiscale systems via machine learning. - Sheetal Rajpal, Naveen Kumar, Ankit Rajpal:
COV-ELM classifier: An Extreme Learning Machine based identification of COVID-19 using Chest-Ray Images. - Lukas Kölsch, Pol Jané-Soneira, Felix Strehle, Sören Hohmann:
Optimal Control of Port-Hamiltonian Systems: A Time-Continuous Learning Approach. - Parth Patel, Kalpdrum Passi, Chakresh Kumar Jain:
Prediction of Cancer Microarray and DNA Methylation Data using Non-negative Matrix Factorization. - Federico Errica, Marco Giulini, Davide Bacciu, Roberto Menichetti, Alessio Micheli, Raffaello Potestio:
Accelerating the identification of informative reduced representations of proteins with deep learning for graphs. - Ji Hyun Nam, Andreas Velten:
Super-Resolution Remote Imaging using Time Encoded Remote Apertures. - Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers:
Deep Small Bowel Segmentation with Cylindrical Topological Constraints. - Xiaowei Guo, Teng Liu, Bangbei Tang, Xiaolin Tang, Jinwei Zhang, Wenhao Tan, Shufeng Jin:
Transfer Deep Reinforcement Learning-enabled Energy Management Strategy for Hybrid Tracked Vehicle. - Jiangdong Liao, Teng Liu, Xiaolin Tang, Xingyu Mu, Bing Huang, Dongpu Cao:
Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning. - Yu Liang, Arin Chaudhuri, Haoyu Wang:
Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data. - David Minnen, Saurabh Singh:
Channel-wise Autoregressive Entropy Models for Learned Image Compression. - Chun-Hung Liu:
Asymptotic dimension of minor-closed families and beyond. - E. Zioga, Antigoni Panagiotopoulou, Marianthi Stefouli, Eleni Charou, Lazaros Grammatikopoulos, Emmanuel Bratsolis, Nicholas Madamopoulos:
Spatial Resolution Enhancement of Remote Sensing Mine Images using Deep Learning Techniques. - Rahul Rahaman, Alexandre H. Thiéry:
Uncertainty Quantification and Deep Ensembles. - Shoukang Hu, Xurong Xie, Shansong Liu, Mengzhe Geng, Xunying Liu, Helen Meng:
Neural Architecture Search for Speech Recognition. - Xing Tao, Yuexiang Li, Wenhui Zhou, Kai Ma, Yefeng Zheng:
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation. - Mathieu Hemery, François Fages, Sylvain Soliman:
On the Complexity of Quadratization for Polynomial Differential Equations. - Serkan Sulun, A. Murat Tekalp:
Can Learned Frame-Prediction Compete with Block-Motion Compensation for Video Coding? - Peter Borg:
Reducing the maximum degree of a graph: comparisons of bounds. - Francesco Ballini, Nikita Deniskin:
Vertex distinction with subgraph centrality: a proof of Estrada's conjecture and some generalizations. - Boris Bukh, Ting-Wei Chao, Ron Holzman:
On convex holes in d-dimensional point sets. - Franco Blanchini, Daniele Casagrande, Filippo Fabiani, Giulia Giordano, David Palma, Raffaele Pesenti:
Lightning optimizes: a threshold mechanism ensures minimum-path flow. - Teng Liu, Xiaolin Tang, Jinwei Zhang, Wenbo Li, Zejian Deng, Yalian Yang:
Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment. - Michelle Anzarut, Luis Felipe González, Sonia Mendizábal, María Teresa Ortiz:
Estimating COVID-19 cases and reproduction number in Mexico. - Hans Kersting, Maren Mahsereci:
A Fourier State Space Model for Bayesian ODE Filters. - Tommaso Dorigo, Pablo de Castro:
Dealing with Nuisance Parameters using Machine Learning in High Energy Physics: a Review. - Vinay Kothapally, Wei Xia, Shahram Ghorbani, John H. L. Hansen, Wei Xue, Jing Huang:
SkipConvNet: Skip Convolutional Neural Network for Speech Dereverberation using Optimally Smoothed Spectral Mapping. - Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod:
Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks. - Drew Fudenberg, Wayne Gao, Annie Liang:
How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories. - Daniel L. Mendoza, Cheryl S. Pirozzi, Erik T. Crosman, Theodore G. Liou, Yue Zhang, Jessica J. Cleeves, Stephen C. Bannister, William R. L. Anderegg, Robert Paine III:
Absentee and Economic Impact of Low-Level Fine Particulate Matter and Ozone Exposure in K-12 Students. - Xiaosu Tong, Che-Wei Huang, Sri Harish Mallidi, Shaun Joseph, Sonal Pareek, Chander Chandak, Ariya Rastrow, Roland Maas:
Streaming ResLSTM with Causal Mean Aggregation for Device-Directed Utterance Detection. - Jun Liu, Kai Mei, Xiaochen Zhang, Desmond C. McLernon, Dongtang Ma, Jibo Wei, Syed Ali Raza Zaidi:
Fine Timing and Frequency Synchronization for MIMO-OFDM: An Extreme Learning Approach. - Laura Tomaz Da Silva, Nathalia Bianchini Esper, Duncan D. Ruiz, Felipe Meneguzzi, Augusto Buchweitz:
Visual Explanation for Identification of the Brain Bases for Dyslexia on fMRI Data. - Eduardo Mapurunga, Alexandre Sanfelice Bazanella:
Optimal allocation of excitation and measurement for identification of dynamic networks. - Kyle Rankin, John Krizmanic, Neerav Shah, Steven Stochaj, Asal Naseri:
Virtual Telescope for X-Ray Observations. - Ismael C. S. Araujo, Adenilton J. da Silva:
Quantum ensemble of trained classifiers. - Alvaro Ovalle, Simon M. Lucas:
Modulation of viability signals for self-regulatory control. - Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng:
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification. - Ruth Davidson, Abraham Martín del Campo:
Combinatorial and computational investigations of Neighbor-Joining bias. - Maria Castaldo, Tommaso Venturini, Paolo Frasca, Floriana Gargiulo:
The Rhythms of the Night: increase in online night activity and emotional resilience during the Covid-19 lockdown. - Yuwen Yang, Feifei Gao, Chengwen Xing, Jianping An, Ahmed Alkhateeb:
Deep Multimodal Learning: Merging Sensory Data for Massive MIMO Channel Prediction. - Ricardo Pio Monti, Ilyes Khemakhem, Aapo Hyvärinen:
Autoregressive flow-based causal discovery and inference. - Rohit Sahasrabuddhe, Leonie Neuhäuser, Renaud Lambiotte:
Modelling Non-Linear Consensus Dynamics on Hypergraphs. - Massimo Stella, Anastasiya Kapuza, Catherine Cramer, Stephen M. Uzzo:
Mapping computational thinking mindsets between educational levels with cognitive network science. - Ralf Möller:
Improved Convergence Speed of Fully Symmetric Learning Rules for Principal Component Analysis. - Tianchen Wang, Xiaowei Xu, Jinjun Xiong, Qianjun Jia, Haiyun Yuan, Meiping Huang, Jian Zhuang, Yiyu Shi:
ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D Cardiac Cine MRI Segmentation. - Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Andreas Rimner, Nancy Lee, Joseph O. Deasy, Sean Berry, Harini Veeraraghavan:
PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation. - Sergio López Bernal, Alberto Huertas Celdrán, Lorenzo Fernández Maimó, Michael Taynnan Barros, Sasitharan Balasubramaniam, Gregorio Martínez Pérez:
Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling. - Alberto Santamaría-Pang, Anup Sood, Dan E. Meyer, Aritra Chowdhury, Fiona Ginty:
Automated Phenotyping via Cell Auto Training (CAT) on the Cell DIVE Platform. - Zhihua Liu, Long Chen, Lei Tong, Feixiang Zhou, Zheheng Jiang, Qianni Zhang, Caifeng Shan, Yinhai Wang, Xiangrong Zhang, Ling Li, Huiyu Zhou:
Deep Learning Based Brain Tumor Segmentation: A Survey. - Doyeon Kim, Vedran Lekic, Brice Ménard, Dalya Baron, Manuchehr Taghizadeh-Popp:
Sequencing seismograms: A panoptic view of scattering in the core-mantle boundary region. - Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang:
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. - Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao:
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. - Michael J. Neely:
Fast Learning for Renewal Optimization in Online Task Scheduling. - Moo K. Chung:
Gaussian kernel smoothing. - Yifan Peng, Tiarnan D. Keenan, Qingyu Chen, Elvira Agrón, Alexis Allot, Wai T. Wong, Emily Y. Chew, Zhiyong Lu:
Predicting risk of late age-related macular degeneration using deep learning. - Yuqing Liu, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao:
Progressive Multi-Scale Residual Network for Single Image Super-Resolution. - Pantelimon Stanica:
Using double Weil sums in finding the Boomerang and the c-Boomerang Connectivity Table for monomial functions on finite fields. - Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo, Andy Wei, Keng-Chi Liu, Mong-Chi Ko, Kuan-Hua Chao, Yu-Ching Peng, Tyng-Luh Liu:
Self-similarity Student for Partial Label Histopathology Image Segmentation. - Monisankha Pal, Manoj Kumar, Raghuveer Peri, Tae Jin Park, So Hyun Kim, Catherine Lord, Somer Bishop, Shrikanth Narayanan:
Meta-learning with Latent Space Clustering in Generative Adversarial Network for Speaker Diarization. - Kristian Gundersen, Anna Oleynik, Nello Blaser, Guttorm Alendal:
Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations. - Jue Jiang, Harini Veeraraghavan:
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation. - Tárik S. Salem, Helge Langseth, Heri Ramampiaro:
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. - João Schapke, Anderson R. Tavares, Mariana Recamonde Mendoza:
EPGAT: Gene Essentiality Prediction With Graph Attention Networks. - Yi Zhong:
Using Deep Convolutional Neural Networks to Diagnose COVID-19 From Chest X-Ray Images. - Wennan Chang, Changlin Wan, Yong Zang, Chi Zhang, Sha Cao:
Supervised clustering of high dimensional data using regularized mixture modeling. - Alexander Barg, Maxim Skriganov:
Bounds for discrepancies in the Hamming space. - Alireza Parchami, Mojtaba Mahdavi:
Full Quaternion Representation of Color images: A Case Study on QSVD-based Color Image Compression. - Roya Ebrahimi Viand, Sina Dortaj, Seyyed Ehsan Nedaaee Oskoee, Khadijeh Nedaiasl, Muhammad Sahimi:
Numerical Simulation and the Universality Class of the KPZ Equation for Curved Substrates. - Edin Husic, Tim Roughgarden:
FPT Algorithms for Finding Dense Subgraphs in c-Closed Graphs. - Michel Crouzeix, Daniel Kressner:
A bivariate extension of the Crouzeix-Palencia result with an application to Fréchet derivatives of matrix functions. - Pinchen Xie, Weinan E:
Coarse-grained spectral projection (CGSP): A scalable and parallelizable deep learning-based approach to quantum unitary dynamics. - Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans. - Harish S. Bhat, Karnamohit Ranka, Christine M. Isborn:
Machine Learning a Molecular Hamiltonian for Predicting Electron Dynamics. - Jiliang Zhang, Andrés Alayón Glazunov, Jie Zhang:
Wireless Performance Evaluation of Building Layouts: Closed-Form Computation of Figures of Merit. - Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng:
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation. - Ao Zheng, Hongkai Yang, Li Zhang, Yuxiang Xing:
A novel deep learning-based method for monochromatic image synthesis from spectral CT using photon-counting detectors. - Wen Chen, Nicolas Langrené:
Deep neural network for optimal retirement consumption in defined contribution pension system. - Virginie Ehrlacher, Tony Lelièvre, Pierre Monmarché:
Adaptive force biasing algorithms: new convergence results and tensor approximations of the bias. - Shinichi Tajima, Katsusuke Nabeshima:
Computing regular meromorphic differential forms via Saito's logarithmic residues. - Yang Yang, Ke Deng, Michael Zhu:
Multi-level Training and Bayesian Optimization for Economical Hyperparameter Optimization. - Petar Jokic, Stéphane Emery, Luca Benini:
Improving Memory Utilization in Convolutional Neural Network Accelerators. - Hidekazu Yoshioka:
Mathematical and computational approaches for stochastic control of river environment and ecology: from fisheries viewpoint. - Etienne Boursier, Vianney Perchet, Marco Scarsini:
Speed of Social Learning from Reviews in Non-Stationary Environments. - Projesh Nath Choudhury, M. Rajesh Kannan:
Sign non-reversal property for totally positive matrices and testing total positivity on their interval hull. - Boris Shirokikh, Alexey Shevtsov, Anvar Kurmukov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Mikhail Belyaev:
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation. - Martin Ekerå:
On completely factoring any integer efficiently in a single run of an order finding algorithm. - Xin Bing, Florentina Bunea, Seth Strimas-Mackey, Marten H. Wegkamp:
Prediction in latent factor regression: Adaptive PCR and beyond. - Dong Wang, Yunpeng Bai, Ying Li:
Multispectral Pan-sharpening via Dual-Channel Convolutional Network with Convolutional LSTM Based Hierarchical Spatial-Spectral Feature Fusion. - John Sipple:
Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure. - Sihua Wang, Mingzhe Chen, Xuanlin Liu, Changchuan Yin, Shuguang Cui, H. Vincent Poor:
A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks. - Yun Yuan, Qinzheng Wang, Xianfeng Terry Yang:
Modeling Stochastic Microscopic Traffic Behaviors: a Physics Regularized Gaussian Process Approach. - Miguel Ángel Vázquez, Pol Henarejos, Ana I. Pérez-Neira, Elena Grechi, Andreas Voight, Juan Carlos Gil, Irene Pappalardo, Federico Di Credico, Rocco Michele Lancellotti:
On the Use of AI for Satellite Communications. - Hanwen Huang, Qinglong Yang:
Large scale analysis of generalization error in learning using margin based classification methods. - Apostolos Modas, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro:
Towards robust sensing for Autonomous Vehicles: An adversarial perspective. - Xianfu Chen, Celimuge Wu, Tao Chen, Zhi Liu, Honggang Zhang, Mehdi Bennis, Hang Liu, Yusheng Ji:
Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems. - Arun Venkatesh Ramesh, Xingpeng Li, Kory W. Hedman:
An Accelerated-Decomposition Approach for Security-Constrained Unit Commitment with Corrective Network Reconfiguration- Part II: Results and Discussion. - Ruoqi Liu, Lai Wei, Ping Zhang:
When deep learning meets causal inference: a computational framework for drug repurposing from real-world data. - Lillian Clark, Alan Papalia, Jônata Tyska Carvalho, Luca Mastrostefano, Bhaskar Krishnamachari:
Inter-Mobile-Device Distance Estimation using Network Localization Algorithms for Digital Contact Logging Applications. - Andreas Hauptmann, Ozan Öktem, Carola Schönlieb:
Image reconstruction in dynamic inverse problems with temporal models. - Saurabh Kumar, Siddharth Dangwal, Debanjan Bhowmik:
Supervised Learning Using a Dressed Quantum Network with "Super Compressed Encoding": Algorithm and Quantum-Hardware-Based Implementation. - Chenyi Zhang, Jiaqi Leng, Tongyang Li:
Quantum Algorithms for Escaping from Saddle Points. - Louise Budzynski, Guilhem Semerjian:
Biased measures for random Constraint Satisfaction Problems: larger interaction range and asymptotic expansion. - Stephen R. Pfohl, Agata Foryciarz, Nigam H. Shah:
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction. - Weijun Zhu, En Li:
An approach for auxiliary diagnosing and screening coronary disease based on machine learning. - Arit Kumar Bishwas, Ashish Mani, Vasile Palade:
Parts of Speech Tagging in NLP: Runtime Optimization with Quantum Formulation and ZX Calculus. - Woojay Jeon:
Acoustic Neighbor Embeddings. - Jeffrey D. Krupa, Kelvin Lin, Maria Acosta Flechas, Jack Dinsmore, Javier M. Duarte, Philip C. Harris, Scott Hauck, Burt Holzman, Shih-Chieh Hsu, Thomas Klijnsma, Mia Liu, Kevin Pedro, Natchanon Suaysom, Matt Trahms, Nhan Tran:
GPU coprocessors as a service for deep learning inference in high energy physics. - Wei Cheng, Gregory Darnell, Sohini Ramachandran, Lorin Crawford:
Generalizing Variational Autoencoders with Hierarchical Empirical Bayes. - Lior Gishboliner, Asaf Shapira, Henrique Stagni:
Testing linear inequalities of subgraph statistics. - Hanqing Chao, Xi Fang, Jiajin Zhang, Fatemeh Homayounieh, Chiara Daniela Arru, Subba R. Digumarthy, Rosa Babaei, Hadi Karimi Mobin, Iman Mohseni, Luca Saba, Alessandro Carriero, Zeno Falaschi, Alessio Pasche, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Integrative Analysis for COVID-19 Patient Outcome Prediction. - Andrew Jones, Patrick Rubin-Delanchy:
The multilayer random dot product graph. - Ruhul Amin, Chowdhury Rafeed Rahman, Swakkhar Shatabda, Md. Sadrul Islam Toaha:
i6mA-CNN: a convolution based computational approach towards identification of DNA N6-methyladenine sites in rice genome. - Michael Goebel, Lakshmanan Nataraj, Tejaswi Nanjundaswamy, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath:
Detection, Attribution and Localization of GAN Generated Images. - Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal:
Active MR k-space Sampling with Reinforcement Learning. - Jiwei Xu, Xinggang Wang, Bin Feng, Wenyu Liu:
Deep multi-metric learning for text-independent speaker verification. - Isabelle Jianing Geng, Kimberly Golubeva, Gilad Gour:
What are the minimal conditions required to define a SIC POVM? - Pierre-Antoine Absil, Ousmane Diao, Mouhamadou Diallo:
Assessment of COVID-19 hospitalization forecasts from a simplified SIR model. - Lai Wei, Vaibhav Srivastava:
Minimax Policy for Heavy-tailed Multi-armed Bandits. - Michael Park:
Moment-Matching Graph-Networks for Causal Inference. - Alexander Cowtan, Will Simmons, Ross Duncan:
A Generic Compilation Strategy for the Unitary Coupled Cluster Ansatz. - Albert S. Berahas, Frank E. Curtis, Daniel P. Robinson, Baoyu Zhou:
Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization. - Chenguang Wan, Jiangang Li, Zhi Yu, Xiaojuan Liu:
Experiment data-driven modeling of tokamak discharge in EAST. - Ashiqur Rahman Rahul, Saifur Rahman Sabuj, Majumder Fazle Haider, Shakil Ahmed:
Cognitive IoT based Health Monitoring Scheme using Non-Orthogonal Multiple Access. - Rüdiger Zeller, Olaf Delgado-Friedrichs, Daniel H. Huson:
Tegula - exploring a galaxy of two-dimensional periodic tilings. - Xiongjun Zhang, Michael K. Ng:
Sparse Nonnegative Tensor Factorization and Completion with Noisy Observations. - Jiasong Wu, Taotao Li, Youyong Kong, Guanyu Yang, Lotfi Senhadji, Huazhong Shu:
SLNSpeech: solving extended speech separation problem by the help of sign language. - Fedor Manin:
Rational homotopy type and computability. - Basile de Loynes, Fabien Navarro, Baptiste Olivier:
Gasper: GrAph Signal ProcEssing in R. - Alexis Bellot, Mihaela van der Schaar:
Generalization and Invariances in the Presence of Unobserved Confounding. - Nikolay K. Vereshchagin:
A family of non-periodic tilings of the plane by right golden triangles. - Zihao Wang, Zhenzhou Wang:
Fully Automated Segmentation of the Left Ventricle in Magnetic Resonance Images. - Xiaodie Lin, Zhaohui Wei, Penghui Yao:
Quantum and Classical Hybrid Generations for Classical Correlations. - Feiya Lv, Shujian Yu, Chenglin Wen, José C. Príncipe:
Mutual Information Matrix for Interpretable Fault Detection. - Jan Nouza, Petr Cerva, Jindrich Zdánský:
Very Fast Keyword Spotting System with Real Time Factor below 0.01. - Irem Cetin, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir:
A radiomics approach to analyze cardiac alterations in hypertension. - Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Lujun Li, Tobias Watzel, Gerhard Rigoll:
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition. - Susanta Kumar Sarangi, Md. Sahidullah, Goutam Saha:
Optimization of data-driven filterbank for automatic speaker verification. - Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey:
MAGMA: Inference and Prediction with Multi-Task Gaussian Processes. - Iksung Kang, Alexandre Goy, George Barbastathis:
Limited-angle tomographic reconstruction of dense layered objects by dynamical machine learning. - Maharshi Ray, Naresh Goud Boddu, Kishor Bharti, Leong-Chuan Kwek, Adán Cabello:
Graph-theoretic approach to dimension witnessing. - Zoltan Gorocs, David Baum, Fang Song, Kevin de Haan, Hatice Ceylan Koydemir, Yunzhe Qiu, Zilin Cai, Thamira Skandakumar, Spencer Peterman, Miu Tamamitsu, Aydogan Ozcan:
Label-free detection of Giardia lamblia cysts using a deep learning-enabled portable imaging flow cytometer. - Anthony D. Forbes, Terry S. Griggs, Klara Stokes:
Existence results for pentagonal geometries. - Sayeed Shafayet Chowdhury, Kaji Mejbaul Islam, Rouhan Noor:
Anomaly Detection in Unsupervised Surveillance Setting Using Ensemble of Multimodal Data with Adversarial Defense. - R. M. Campello de Souza, M. M. Campello de Souza, Hélio Magalhães de Oliveira, M. M. Vasconcelos:
Infinite Sequences, Series Convergence and the Discrete Time Fourier Transform over Finite Fields. - Ahmad Kaleem, Ahsan Kaleem:
On Algorithms for Solving the Rubik's Cube. - Tsuyoshi Thomas Sekiyama:
Statistical Downscaling of Temperature Distributions from the Synoptic Scale to the Mesoscale Using Deep Convolutional Neural Networks. - Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li:
Recent Advances in Network-based Methods for Disease Gene Prediction. - David Bremner, Naghmeh Shahverdi:
Outer approximations of core points for integer programming. - Adam Hartwell, Visakan Kadirkamanathan, Sean R. Anderson:
A Temporal-to-Spatial Neural Network for Classification of Hand Movements from Electromyography Data. - Teng Liu, Xiaolin Tang, Jinwei Zhang, Wenhao Tan, Yang Xing, Dongpu Cao:
Driving Conditions-Driven Energy Management for Hybrid Electric Vehicles: A Review. - Renato Luiz de Freitas Cunha, Bruno Silva:
Estimating crop yields with remote sensing and deep learning. - Oumarou Oumarou, Alexandru Paler, Robert Basmadjian:
QUANTIFY: A framework for resource analysis and design verification of quantum circuits. - Tomas Kalibera, Richard E. Jones:
Quantifying Performance Changes with Effect Size Confidence Intervals. - Jun Liu:
On the Convergence of Reinforcement Learning with Monte Carlo Exploring Starts. - Zhijian Li, Yunling Zheng, Jack Xin, Guofa Zhou:
A Recurrent Neural Network and Differential Equation Based Spatiotemporal Infectious Disease Model with Application to COVID-19. - David A. Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan M. Paiton:
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding. - Jeffrey C. Wong:
Computational Causal Inference. - Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho:
Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables. - Zhishen Huang, Stephen Becker:
Spectral estimation from simulations via sketching. - Tyler Chen:
Rounding random variables to finite precision. - Hua Wang, Yachong Yang, Zhiqi Bu, Weijie J. Su:
The Complete Lasso Tradeoff Diagram. - Simon Michaud, Samuel Faucher, François Grondin, Jean-Samuel Lauzon, Mathieu Labbé, Dominic Létourneau, François Ferland, François Michaud:
3D Localization of a Sound Source Using Mobile Microphone Arrays Referenced by SLAM. - Vladimir N. Salnikov, Aziz Hamdouni, Daria Loziienko:
Generalized and graded geometry for mechanics: a comprehensive introduction. - Jun Liu:
Converse Barrier Functions via Lyapunov Functions. - Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers:
One Click Lesion RECIST Measurement and Segmentation on CT Scans. - Omid Safarzadeh:
Generating Trading Signals by ML algorithms or time series ones? - Kevin Miller, Hao Li, Andrea L. Bertozzi:
Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations. - Jacob A. Zavatone-Veth, Cengiz Pehlevan:
Activation function dependence of the storage capacity of treelike neural networks. - Jonathan Niles-Weed, Ilias Zadik:
The All-or-Nothing Phenomenon in Sparse Tensor PCA. - Luke E. Hallum, Shaun L. Cloherty:
Testing display suitability for presenting mean-modulated flicker in clinical assessment and experimental studies of visual systems. - Jun Zhang, Daqing Wan:
Rational points on complete symmetric hypersurfaces over finite fields. - Aramayis Dallakyan, Mohsen Pourahmadi:
Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Longitudinal Data. - Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint. - Ziqi Liu, Wei Cai, Zhi-Qin John Xu:
Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains. - Kaushalya Madhawa, Tsuyoshi Murata:
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning. - Gergely Bunth, Péter Vrana:
Asymptotic relative submajorization of multiple-state boxes. - Tsung-Ming Tai, Yun-Jie Jhang, Zhen-Wei Liao, Kai-Chung Teng, Wen-Jyi Hwang:
Sensor-Based Continuous Hand Gesture Recognition by Long Short-Term Memory. - Louis Faugère, Walid Klibi, Chelsea C. White III, Benoît Montreuil:
Dynamic Pooled Capacity Deployment for Urban Parcel Logistics. - Arttu Arjas, Lassi Roininen, Mikko J. Sillanpää, Andreas Hauptmann:
Blind hierarchical deconvolution. - Sudhir Sornapudi, Ronald Joe Stanley, William V. Stoecker, L. Rodney Long, Zhiyun Xue, Rosemary Zuna, Shelliane R. Frazier, Sameer K. Antani:
Feature based Sequential Classifier with Attention Mechanism. - Yang Zheng, Giovanni Fantuzzi:
Sum-of-squares chordal decomposition of polynomial matrix inequalities. - Dmitry Gordeev, Philipp Singer, Marios Michailidis, Mathias Müller, SriSatish Ambati:
Backtesting the predictability of COVID-19. - Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber:
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection. - Wendy K. Tam Cho, Yan Y. Liu:
A Parallel Evolutionary Multiple-Try Metropolis Markov Chain Monte Carlo Algorithm for Sampling Spatial Partitions. - Lukas Pfeifenberger, Matthias Zöhrer, Günther Schindler, Wolfgang Roth, Holger Fröning, Franz Pernkopf:
Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement. - Tiankui Zhang, Yi Wang, Yuanwei Liu, Wenjun Xu, Arumugam Nallanathan:
Cache-enabling UAV Communications: Network Deployment and Resource Allocation. - Sebastian Perez-Salazar, Mohit Singh, Alejandro Toriello:
Online Adaptive Bin Packing with Overflow. - Fady K. Fahmy, Mahmoud I. Khalil, Hazem M. Abbas:
A Transfer Learning End-to-End ArabicText-To-Speech (TTS) Deep Architecture. - Lisang Ding, Wuchen Li, Stanley J. Osher, Wotao Yin:
A mean field game inverse problem. - Abhinav Deshpande, Alexey V. Gorshkov, Bill Fefferman:
The importance of the spectral gap in estimating ground-state energies. - Murat A. Erdogdu, Rasa Hosseinzadeh:
A Brief Note on the Convergence of Langevin Monte Carlo in Chi-Square Divergence. - Jeremy D. Auerbach, Eugene C. Fitzhugh, Ellen Zavisca:
The impact of small changes in thoroughfare connectivity on the potential for student walking. - Sang Won Lee, Yueh-Ting Chiu, Philip Brudnicki, Audrey M. Bischoff, Angus Jelinek, Jenny Zijun Wang, Danielle R. Bogdanowicz, Andrew F. Laine, Jia Guo, Helen H. Lu:
Darwin's Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening. - Matthias J. Ehrhardt:
Multi-modality imaging with structure-promoting regularisers. - Rodolfo Rios-Zertuche:
Examples of pathological dynamics of the subgradient method for Lipschitz path-differentiable functions. - (Withdrawn) A weakly supervised registration-based framework for prostate segmentation via the combination of statistical shape model and CNN.
- Scott Mahan, Emily J. King, Alex Cloninger:
Nonclosedness of the Set of Neural Networks in Sobolev Space. - Kyungmin Lee, Hyunwhan Joe, Hyeontaek Lim, Kwangyoun Kim, Sungsoo Kim, Chang Woo Han, Hong-Gee Kim:
Sequential Routing Framework: Fully Capsule Network-based Speech Recognition. - Bing Tan, Xiaolong Qin:
Strong convergence of an inertial Tseng's extragradient algorithm for pseudomonotone variational inequalities with applications to optimal control problems. - Tatsumi Uezato, Danfeng Hong, Naoto Yokoya, Wei He:
Guided Deep Decoder: Unsupervised Image Pair Fusion. - Siang-Ruei Wu, Hao-Yun Chang, Florence T. Su, Heng-Chun Liao, Wanju Tseng, Chun-Chih Liao, Feipei Lai, Feng-Ming Hsu, Furen Xiao:
Deep Learning Based Segmentation of Various Brain Lesions for Radiosurgery. - Lachlan Birnie, Thushara D. Abhayapala, Vladimir Tourbabin, Prasanga N. Samarasinghe:
Sound Field Translation and Mixed Source Model for Virtual Applications with Perceptual Validation. - Xiaohan Yan, Avleen S. Bijral:
On a Bernoulli Autoregression Framework for Link Discovery and Prediction. - Federico Amato, Fabian Guignard, Sylvain Robert, Mikhail F. Kanevski:
A Novel Framework for Spatio-Temporal Prediction of Climate Data Using Deep Learning. - Stefano Zorzi, Friedrich Fraundorfer:
Regularization of Building Boundaries in Satellite Images using Adversarial and Regularized Losses. - Frédéric Logé, Erwan Le Pennec, Habiboulaye Amadou Boubacar:
Challenging common bolus advisor for self-monitoring type-I diabetes patients using Reinforcement Learning. - Paolo Andreini, Cosimo Izzo, Giovanni Ricco:
Deep Dynamic Factor Models. - Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao:
Quantum differentially private sparse regression learning. - Steven Yin, Shatian Wang, Lingyi Zhang, Christian Kroer:
Dominant Resource Fairness with Meta-Types. - Marios Ioannou, Stephen Piddock, Milad Marvian, Joel Klassen, Barbara M. Terhal:
Sign-curing local Hamiltonians: termwise versus global stoquasticity and the use of Clifford transformations. - Djallel Bouneffouf:
Computing the Dirichlet-Multinomial Log-Likelihood Function. - Yuxiao Li, Ying Sun, Brian J. Reich:
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction. - Md. Kamrul Hasan, Md. Ashraful Alam, Md. Toufick E. Elahi, Shidhartho Roy, Sifat Redwan Wahid:
CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography images. - Alexander Immer:
Disentangling the Gauss-Newton Method and Approximate Inference for Neural Networks. - Yi Liu, Jiangtian Nie, Xuandi Li, Syed Hassan Ahmed, Wei Yang Bryan Lim, Chunyan Miao:
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms. - Takao Inoué:
A sound interpretation of Leśniewski's epsilon in modal logic KTB. - Zhaonan Sun, Bronislaw D. Gepner, Sang-Hyun Lee, Joshua Rigby, Neil Singh, Jason R. Kerrigan:
Determination of strain rate in modelling belt-flesh-pelvis interaction during frontal crashes. - Yanming Sun, Chunyan Wang:
A Computation-Efficient CNN System for High-Quality Brain Tumor Segmentation. - Quan Wang, Ignacio López-Moreno:
Version Control of Speaker Recognition Systems. - Seongyong Park, Shujaat Khan, Abdul Wahab:
E3-targetPred: Prediction of E3-Target Proteins Using Deep Latent Space Encoding. - Zachary Chase:
A New Upper Bound for Separating Words. - Lyudmila Grigoryeva, Juan-Pablo Ortega:
Dimension reduction in recurrent networks by canonicalization. - Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. J. Ren, Chao Dong:
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration. - Shintaro Fukushima, Atsushi Nitanda, Kenji Yamanishi:
Online Robust and Adaptive Learning from Data Streams. - Romit Maulik, Themistoklis Botsas, Nesar Ramachandra, Lachlan Robert Mason, Indranil Pan:
Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation. - Stephan Leitner, Bartosz Gula, Dietmar Jannach, Ulrike Krieg-Holz, Friederike Wall:
Infodemics: A call to action for interdisciplinary research. - Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Viviana Cocco Mariani, Leandro dos Santos Coelho:
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil. - Mark Ashworth, Florian Doster:
Anisotropic dual-continuum representations for multiscale poroelastic materials: Development and numerical modelling. - Muhammed Ali Sit, Bekir Z. Demiray, Zhongrun Xiang, Gregory J. Ewing, Yusuf Sermet, Ibrahim Demir:
A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources. - George Kenison, Oleksiy Klurman, Engel Lefaucheux, Florian Luca, Pieter Moree, Joël Ouaknine, Markus A. Whiteland, James Worrell:
On Positivity and Minimality for Second-Order Holonomic Sequences. - Shane D. Sims:
Frequency Domain-based Perceptual Loss for Super Resolution. - Narges Saeedizadeh, Shervin Minaee, Rahele Kafieh, Shakib Yazdani, Milan Sonka:
COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net. - Xiang-dong Hou:
On the Number of Affine Equivalence Classes of Boolean Functions. - Rami Mahdi:
A Nonparametric Test of Dependence Based on Ensemble of Decision Trees. - Zhaonan Sun, Bronislaw Gepner, Jason R. Kerrigan:
New approaches in modeling belt-flesh-pelvis interaction using obese GHBMC models. - Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez:
Multinomial Sampling for Hierarchical Change-Point Detection. - Aleksey Ogulenko, Itzhak Benenson, Itzhak Omer, Barak Alon:
Bayesian estimate of position in mobile phone network. - Tahjid Ashfaque Mostafa, Irene Cheng:
Parkinson's Disease Detection with Ensemble Architectures based on ILSVRC Models. - Matthias Bentert, André Nichterlein, Malte Renken, Philipp Zschoche:
Using a geometric lens to find k disjoint shortest paths. - Lisa Maria Kreusser, Marie-Therese Wolfram:
On anisotropic diffusion equations for label propagation. - Md. Manjurul Ahsan, Kishor Datta Gupta, Mohammad Maminur Islam, Sajib Sen, Md. Lutfar Rahman, Mohammad Shakhawat Hossain:
Study of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset. - Victor Chepoi, Kolja Knauer, Manon Philibert:
Ample completions of OMs and CUOMs. - Annalisa Caligiuri, Claudio Castellano:
Degree-Ordered-Percolation on uncorrelated networks. - Jiaqi Jiang, Jonathan A. Fan:
Multi-objective and categorical global optimization of photonic structures based on ResNet generative neural networks. - Teng Liu, Bo Wang, Dongpu Cao, Xiaolin Tang, Yalian Yang:
Integrated Longitudinal Speed Decision-Making and Energy Efficiency Control for Connected Electrified Vehicles. - Hanwen Liang, Konstantinos N. Plataniotis, Xingyu Li:
Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning. - Sanna Wager, Keunwoo Choi, Simon Durand:
Dereverberation using joint estimation of dry speech signal and acoustic system. - Kaïs Ammari, Boumediène Chentouf, Nejib Smaoui:
Qualitative and numerical study of the stability of a nonlinear time-delayed dispersive equation. - Kaïs Ammari, Boumediène Chentouf, Nejib Smaoui:
Boundary stabilization of a one-dimensional wave equation by a switching time-delay: a theoretical and numerical study. - Zhisheng Zhong, Hiroaki Akutsu, Kiyoharu Aizawa:
Channel-Level Variable Quantization Network for Deep Image Compression. - Yang Li, Yi Pan:
A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News. - Feihu Huang, Lue Tao, Songcan Chen:
Accelerated Stochastic Gradient-free and Projection-free Methods. - Sahani Pathiraja, Sebastian Reich, Wilhelm Stannat:
McKean-Vlasov SDEs in nonlinear filtering. - Pierre Bayle, Alexandre Bayle, Lucas Janson, Lester Mackey:
Cross-validation Confidence Intervals for Test Error. - Mark Bun, Jörg Drechsler, Marco Gaboardi, Audra McMillan:
Controlling Privacy Loss in Survey Sampling (Working Paper). - Longbing Cao:
AI in FinTech: A Research Agenda. - Justin Grimmer, Dean Knox, Brandon M. Stewart:
Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding. - Nadejda Drenska, Robert V. Kohn:
A PDE Approach to the Prediction of a Binary Sequence with Advice from Two History-Dependent Experts. - Ghazale Ghorbanzade, Zahra Nabizadeh-ShahreBabak, Shadrokh Samavi, Nader Karimi, Ali Emami, Pejman Khadivi:
Selection of Proper EEG Channels for Subject Intention Classification Using Deep Learning. - Weijia Zhang, Jiuyong Li, Lin Liu:
A unified survey on treatment effect heterogeneity modeling and uplift modeling. - Rafael Izbicki, Gilson Y. Shimizu, Rafael Bassi Stern:
CD-split: efficient conformal regions in high dimensions. - Siva Rajesh Kasa, Vaibhav Rajan:
Model-based Clustering using Automatic Differentiation: Confronting Misspecification and High-Dimensional Data. - Andrea L. Bertozzi, Bamdad Hosseini, Hao Li, Kevin Miller, Andrew M. Stuart:
Posterior Consistency of Semi-Supervised Regression on Graphs. - Onur Kulce, Deniz Mengu, Yair Rivenson, Aydogan Ozcan:
All-Optical Information Processing Capacity of Diffractive Surfaces. - Theo McKenzie, Peter M. R. Rasmussen, Nikhil Srivastava:
Support of Closed Walks and Second Eigenvalue Multiplicity of Regular Graphs. - Andrea Montanari, Yiqiao Zhong:
The Interpolation Phase Transition in Neural Networks: Memorization and Generalization under Lazy Training. - Chenguang Lu:
Fair Marriage Principle and Initialization Map for the EM Algorithm. - Rahi Kalantari, Mingyuan Zhou:
Graph Gamma Process Generalized Linear Dynamical Systems. - Praveen Kumar Reddy Maddikunta, Saqib Hakak, Mamoun Alazab, Sweta Bhattacharya, Thippa Reddy Gadekallu, Wazir Zada Khan, Quoc-Viet Pham:
Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements and Challenges. - Emmanuel Caron, Stéphane Chrétien:
A finite sample analysis of the double descent phenomenon for ridge function estimation. - Iustina Andronic, Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Gerhard Rigoll, Bernhard U. Seeber:
MP3 Compression To Diminish Adversarial Noise in End-to-End Speech Recognition. - Shayan Zargari, Shahrokh Farahmand, Bahman Abolhassani:
Joint Design of Transmit Beamforming, IRS Platform, and Power Splitting SWIPT Receivers for Downlink Cellular Multiuser MISO. - Daniel Korat:
3D Neural Network for Lung Cancer Risk Prediction on CT Volumes. - Patrick Zulian, Alena Kopanicáková, Maria Giuseppina Chiara Nestola, Andreas Fink, Nur Aiman Fadel, Joost VandeVondele, Rolf Krause:
Large scale simulation of pressure induced phase-field fracture propagation using Utopia. - Dimitri Delcaillau, Antoine Ly, Franck Vermet, Alizé Papp:
Interpretabilité des modèles : état des lieux des méthodes et application à l'assurance. - Ravi Shankar, Jacob Sager, Archana Venkataraman:
Non-parallel Emotion Conversion using a Deep-Generative Hybrid Network and an Adversarial Pair Discriminator. - Yanbo Feng, Adel Hafiane, Hélène Laurent:
A deep learning based multiscale approach to segment cancer area in liver whole slide image. - Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon, Archana Venkataraman:
Multi-speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network. - Ronan Fablet, Bertrand Chapron, Lucas Drumetz, Étienne Mémin, Olivier Pannekoucke, François Rousseau:
Learning Variational Data Assimilation Models and Solvers. - Amrith Setlur, Barnabás Póczos, Alan W. Black:
Nonlinear ISA with Auxiliary Variables for Learning Speech Representations. - Yi-Chiao Wu, Tomoki Hayashi, Takuma Okamoto, Hisashi Kawai, Tomoki Toda:
Quasi-Periodic Parallel WaveGAN: A Non-autoregressive Raw Waveform Generative Model with Pitch-dependent Dilated Convolution Neural Network. - Chuchu Chen, Jianbo Cui, Jialin Hong, Derui Sheng:
Convergence of Density Approximations for Stochastic Heat Equation. - Junghoon Kim, Taejoon Kim, Morteza Hashemi, Christopher G. Brinton, David J. Love:
Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks. - George H. Chen:
Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals. - Siyuan Feng, Odette Scharenborg:
Unsupervised Subword Modeling Using Autoregressive Pretraining and Cross-Lingual Phone-Aware Modeling. - Sachin Mehta, Ximing Lu, Donald L. Weaver, Joann G. Elmore, Hannaneh Hajishirzi, Linda G. Shapiro:
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images. - Farhad Shahrokhi:
Bounding the trace function of a hypergraph with applications. - Jun Qi, Hu Hu, Yannan Wang, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee:
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement. - Saurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Najim Dehak:
Self-Expressing Autoencoders for Unsupervised Spoken Term Discovery. - Vladislav V. Kravchenko, Elina L. Shishkina, Sergii M. Torba:
A transmutation operator method for solving the inverse quantum scattering problem. - Heinrich Dinkel, Nanxin Chen, Yanmin Qian, Kai Yu:
End-to-end spoofing detection with raw waveform CLDNNs. - Pragada Shivaramakrishna, A. Sanand Amita Dilip:
Geometry and control of the nonholonomic integrator: An electrodynamics analogy. - Rui Li, Chenxi Duan, Shunyi Zheng:
MACU-Net Semantic Segmentation from High-Resolution Remote Sensing Images. - Yipei Chen, Yajun Zhu, Kun Xu:
A three-dimensional unified gas-kinetic wave-particle solver for flow computation in all regimes. - Mamoun T. Mardini, Subhash Nerella, Amal A. Wanigatunga, Santiago Saldana, Ramon Casanova, Todd M. Manini:
Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning. - Md. Sahidullah, Achintya Kumar Sarkar, Ville Vestman, Xuechen Liu, Romain Serizel, Tomi Kinnunen, Zheng-Hua Tan, Emmanuel Vincent:
UIAI System for Short-Duration Speaker Verification Challenge 2020. - Mélanie Gaillochet, Kerem Can Tezcan, Ender Konukoglu:
Joint reconstruction and bias field correction for undersampled MR imaging. - (Withdrawn) Fully Bayesian Analysis of the Relevance Vector Machine Classification for Imbalanced Data.
- Nguyen Cong Luong, Xiao Lu, Dinh Thai Hoang, Dusit Niyato, Dong In Kim:
Radio Resource Management in Joint Radar and Communication: A Comprehensive Survey. - Martin Welk, Joachim Weickert:
PDE Evolutions for M-Smoothers in One, Two, and Three Dimensions. - Miquel India, Pooyan Safari, Javier Hernando:
Double Multi-Head Attention for Speaker Verification. - Vladimir Kesler, Boris Murmann, H. Tom Soh:
Going Beyond the Debye Length: Overcoming Charge Screening Limitations in Next-Generation Bioelectronic Sensors. - Qi Cheng, J. Maurice Rojas, Daqing Wan:
Computing zeta functions of large polynomial systems over finite fields. - Denise Rava, Jelena Bradic:
DeepHazard: neural network for time-varying risks. - Hasib Zunair, Aimon Rahman, Nabeel Mohammed, Joseph Paul Cohen:
Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction. - Masoud Jalayer, Carlotta Orsenigo, Carlo Vercellis:
CoV-ABM: A stochastic discrete-event agent-based framework to simulate spatiotemporal dynamics of COVID-19. - Asaf B. Cassel, Shie Mannor, Guy Tennenholtz:
The Pendulum Arrangement: Maximizing the Escape Time of Heterogeneous Random Walks. - Coralia Cartis, Tyler Ferguson, Lindon Roberts:
Scalable Derivative-Free Optimization for Nonlinear Least-Squares Problems. - Milad Asgari Mehrabadi, Nikil D. Dutt, Amir M. Rahmani:
The Causality Inference of Public Interest in Restaurants and Bars on COVID-19 Daily Cases in the US: A Google Trends Analysis. - Farnood Faraji, Yazid Attabi, Benoît Champagne, Wei-Ping Zhu:
On the Use of Audio Fingerprinting Features for Speech Enhancement with Generative Adversarial Network. - Kristin DeSplinter, Satyan L. Devadoss, Jordan Readyhough, Bryce Wimberly:
Unfolding cubes: nets, packings, partitions, chords. - Yanna Bai, Wei Chen, Jie Chen, Weisi Guo:
Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms. - Ayaka Sakata:
Active pooling design in group testing based on Bayesian posterior prediction. - Sharu Goel, Sandeep Kumar Pandey, Hanumant Singh Shekhawat:
Analysis of Emotional Content in Indian Political Speeches. - Soonshin Seo, Ji-Hwan Kim:
Self-Attentive Multi Layer Aggregation with Feature Recalibration and Normalization for End-to-End Speaker Verification System. - Subhadip Maji, Raghav Bali, Sree Harsha Ankem, Kishore V. Ayyadevara:
A Simple and Interpretable Predictive Model for Healthcare. - Harold Erbin, Riccardo Finotello:
Inception Neural Network for Complete Intersection Calabi-Yau 3-folds. - Fela Winkelmolen, Nikita Ivkin, H. Furkan Bozkurt, Zohar S. Karnin:
Practical and sample efficient zero-shot HPO. - Tomasz Winiarski, Pawel Balsam, Maciej Wegierek, Sonia Borodzicz-Jazdzyk, Wojciech Dudek, Konrad Banachowicz, Janusz Kochanowski, Michal Marchel:
A concept of a measuring system for probe kinesthetic parameters identification during echocardiography examination. - Ivan Vishniakou, Johannes D. Seelig:
Differentiable model-based adaptive optics with transmitted and reflected light. - Sina Amirrajab, Samaneh Abbasi-Sureshjani, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms. - Wufei Ma, Elizabeth Kautz, Arun Baskaran, Aritra Chowdhury, Vineet Joshi, Bülent Yener, Daniel Lewis:
Image-driven discriminative and generative machine learning algorithms for establishing microstructure-processing relationships. - Yuanjian Li, A. Hamid Aghvami, Daoyi Dong:
Intelligent Trajectory Planning in UAV-mounted Wireless Networks: A Quantum-Inspired Reinforcement Learning Perspective. - Ruoxi Sun, Hanjun Dai, Li Li, Steven Kearnes, Bo Dai:
Energy-based View of Retrosynthesis. - Mrinank Sharma, Sören Mindermann, Jan Markus Brauner, Gavin Leech, Anna B. Stephenson, Tomas Gavenciak, Jan Kulveit, Yee Whye Teh, Leonid Chindelevitch, Yarin Gal:
On the robustness of effectiveness estimation of nonpharmaceutical interventions against COVID-19 transmission. - Aaron R. Voelker:
A short letter on the dot product between rotated Fourier transforms. - Felix Kreuk, Joseph Keshet, Yossi Adi:
Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation. - Niharika Pandala, Casey A. Cole, Devaun McFarland, Anita Nag, Homayoun Valafar:
A Preliminary Investigation in the Molecular Basis of Host Shutoff Mechanism in SARS-CoV. - Shuyue Jia, Yimin Hou, Yan Shi, Yang Li:
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signals. - Khaled Koutini, Hamid Eghbal-Zadeh, Verena Haunschmid, Paul Primus, Shreyan Chowdhury, Gerhard Widmer:
Receptive-Field Regularized CNNs for Music Classification and Tagging. - Mari Ganesh Kumar, Shrikanth Narayanan, Mriganka Sur, Hema A. Murthy:
Evidence of Task-Independent Person-Specific Signatures in EEG using Subspace Techniques. - Jiazhou Chen, Guoqiang Han, Hongmin Cai, Defu Yang, Paul J. Laurienti, Martin Styner, Guorong Wu:
Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses. - Robin Algayres, Mohamed Salah Zaïem, Benoît Sagot, Emmanuel Dupoux:
Evaluating the reliability of acoustic speech embeddings. - Shimaa Naser, Lina Bariah, Wael Jaafar, Sami Muhaidat, Paschalis C. Sofotasios, Mahmoud Al-Qutayri, Octavia A. Dobre:
Rate-Splitting Multiple Access: Unifying NOMA and SDMA in MISO VLC Channels. - Erika Fonseca, Joao F. Santos, Francisco Paisana, Luiz A. DaSilva:
Radio Access Technology Characterisation Through Object Detection. - Nikolajs Nahimovs:
Lackadaisical quantum walks on triangular and honeycomb 2D grids. - Giuseppe Patanè:
Continuous Fuzzy Transform as Integral Operator. - Theo McKenzie, Sidhanth Mohanty:
High-girth near-Ramanujan graphs with lossy vertex expansion. - Alon Harell, Richard Jones, Stephen Makonin, Ivan V. Bajic:
PowerGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks. - Philippe Reiter:
Cloud Detection through Wavelet Transforms in Machine Learning and Deep Learning. - Jorge Baranda, Pol Henarejos, Ciprian George-Gavrincea, Miguel Angel Lagunas:
Llums que no són només llums. - Erika Fonseca, Boris Galkin, Luiz A. DaSilva, Ivana Dusparic:
Adaptive Height Optimisation for Cellular-Connected UAVs using Reinforcement Learning. - Anatasiia Kornilova, Mikhail Salnikov, Olga Novitskaya, Maria Begicheva, Egor Sevriugov, Kirill Shcherbakov:
MMDF: Mobile Microscopy Deep Framework. - Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich:
From Sound Representation to Model Robustness. - Zhan Gao, Mark Eisen, Alejandro Ribeiro:
Resource Allocation via Model-Free Deep Learning in Free Space Optical Networks. - Michael Celentano, Andrea Montanari, Yuting Wei:
The Lasso with general Gaussian designs with applications to hypothesis testing. - Song Zhang, Xiaochuan Luo, Eugene Litvinov:
Serverless computing for cloud-based power grid emergency generation dispatch. - Yuxin Lu, Wai Ho Mow:
SER Analysis for SWIPT-Enabled Differential Decode-and-Forward Relay Networks. - Jinxi Guo, Gautam Tiwari, Jasha Droppo, Maarten Van Segbroeck, Che-Wei Huang, Andreas Stolcke, Roland Maas:
Efficient minimum word error rate training of RNN-Transducer for end-to-end speech recognition. - Aya Mostafa Ahmed, Udaya Sampath K. Perera Miriya Thanthrige, Aly El Gamal, Aydin Sezgin:
Deep Learning for Direction of Arrival Estimation via Emulation of Large Antenna Arrays. - Asim Smailagic, Anupma Sharan, Pedro Costa, Adrian Galdran, Alex Gaudio, Aurélio Campilho:
Learned Pre-Processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images. - Tyler M. Tomita, Joshua T. Vogelstein:
Robust Similarity and Distance Learning via Decision Forests. - Takao Inoué:
On Bergman's Diamond Lemma for Ring Theory. - Qiqi Xiao, Jiaxu Zou, Muqiao Yang, Alex Gaudio, Kris Kitani, Asim Smailagic, Pedro Costa, Min Xu:
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning. - Shancong Mou, Andi Wang, Chuck Zhang, Jianjun Shi:
Additive Tensor Decomposition Considering Structural Data Information. - Ruda Zhang, Roger G. Ghanem:
Normal-bundle Bootstrap. - Felix Weninger, Franco Mana, Roberto Gemello, Jesús Andrés-Ferrer, Puming Zhan:
Semi-Supervised Learning with Data Augmentation for End-to-End ASR. - Shanyin Tong, Eric Vanden-Eijnden, Georg Stadler:
Extreme event probability estimation using PDE-constrained optimization and large deviation theory, with application to tsunamis. - Zheyu Zhu, Yuzhe Lu, Ruining Deng, Haichun Yang, Agnes B. Fogo, Yuankai Huo:
EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology. - Wei Xue, Gang Quan, Chao Zhang, Guohong Ding, Xiaodong He, Bowen Zhou:
Neural Kalman Filtering for Speech Enhancement. - Jingjing Chen, Qirong Mao, Dong Liu:
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation. - Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li:
Stochastic Normalized Gradient Descent with Momentum for Large Batch Training. - Lianru Gao, Danfeng Hong, Jing Yao, Bing Zhang, Paolo Gamba, Jocelyn Chanussot:
Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning. - Ke Zheng, Lianru Gao, Wenzhi Liao, Danfeng Hong, Bing Zhang, Ximin Cui, Jocelyn Chanussot:
Coupled Convolutional Neural Network with Adaptive Response Function Learning for Unsupervised Hyperspectral Super-Resolution. - Meng Hua, Luxi Yang, Qingqing Wu, Cunhua Pan, Chunguo Li, A. Lee Swindlehurst:
UAV-Assisted Intelligent Reflecting Surface Symbiotic Radio System. - Andrés F. López-Lopera, Déborah Idier, Jérémy Rohmer, François Bachoc:
Multi-Output Gaussian Processes with Functional Data: A Study on Coastal Flood Hazard Assessment. - Sachiko Kodera, Essam A. Rashed, Akimasa Hirata:
Correlation between COVID-19 morbidity and mortality rates in Japan and local population density, temperature and absolute humidity. - Sidra Tul Muntaha, Syed Ali Hassan, Haejoon Jung, M. Shamim Hossain:
Energy Efficiency and Hover Time Optimization in UAV-based HetNets. - Julia Wolleb, Robin Sandkühler, Philippe C. Cattin:
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision. - Shai Rozenberg, Hagai Aronowitz, Ron Hoory:
Siamese x-vector reconstruction for domain adapted speaker recognition. - (Withdrawn) Hall's Marriage Theorem and Pawn Diagrams.
- Dejin Kong, Xiang-Gen Xia, Pei Liu, Qibiao Zhu:
MMSE Channel Estimation for Two-Port Demodulation Reference Signals in New Radio. - Nicolas Papernot, Abhradeep Thakurta, Shuang Song, Steve Chien, Úlfar Erlingsson:
Tempered Sigmoid Activations for Deep Learning with Differential Privacy. - Victor Chepoi, Arnaud Labourel, Sébastien Ratel:
Distance labeling schemes for K4-free bridged graphs. - Iyanuoluwa Emiola, Chinwendu Enyioha:
Online Optimization with Barzilai-Borwein Quasi-Newton Method. - Bence Mark Halpern, Rob van Son, Michiel W. M. van den Brekel, Odette Scharenborg:
Detecting and analysing spontaneous oral cancer speech in the wild. - Zhiyan Ding, Qin Li:
Langevin Monte Carlo: random coordinate descent and variance reduction. - Wentao Yu, Steffen Zeiler, Dorothea Kolossa:
Multimodal Integration for Large-Vocabulary Audio-Visual Speech Recognition. - Bruno Golosio, Gianmarco Tiddia, Chiara De Luca, Elena Pastorelli, Francesco Simula, Pier Stanislao Paolucci:
A new GPU library for fast simulation of large-scale networks of spiking neurons. - Javier Ureña-Carrion, Jari Saramäki, Mikko Kivelä:
Going beyond communication intensity for estimating tie strengths in social networks. - Yat Hong Lam, Alireza Zare, Francesco Cricri, Jani Lainema, Miska M. Hannuksela:
Efficient adaptation of neural network filter for video compression. - Xin Wang, Mark M. Wilde:
Cost of quantum entanglement simplified. - Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi:
DeepMP for Non-Negative Sparse Decomposition. - Miki Morimatsu, Yusuke Monno, Masayuki Tanaka, Masatoshi Okutomi:
Monochrome and Color Polarization Demosaicking Using Edge-Aware Residual Interpolation. - Xiaoyu Li, Francesco Orabona:
A High Probability Analysis of Adaptive SGD with Momentum. - Jingzhi Hu, Hongliang Zhang, Lingyang Song, Robert Schober, H. Vincent Poor:
Cooperative Internet of UAVs: Distributed Trajectory Design by Multi-agent Deep Reinforcement Learning. - Hemant Rana, Nitin Verma:
Enhanced Quantum Key Distribution using Hybrid Channels and Natural Random Numbers. - (Withdrawn) CovMUNET: A Multiple Loss Approach towards Detection of COVID-19 from Chest X-ray.
- Stefan Ruehrup:
On the use of GNSS for Automatic Detection of Attenuating Environments. - Ruchit Agrawal, Simon Dixon:
A Hybrid Approach to Audio-to-Score Alignment. - Jialu Li, Mark Hasegawa-Johnson:
Autosegmental Neural Nets: Should Phones and Tones be Synchronous or Asynchronous? - Xin Lei, Jiequan Li:
A staggered-projection Godunov-type method for the Baer-Nunziato two-phase model. - Samson Wang, Enrico Fontana, Marco Cerezo, Kunal Sharma, Akira Sone, Lukasz Cincio, Patrick J. Coles:
Noise-Induced Barren Plateaus in Variational Quantum Algorithms. - Lars Grüne, Manuel Schaller, Anton Schiela:
Efficient MPC for parabolic PDEs with goal oriented error estimation. - Jinwei Zhang, Hang Zhang, Alan Wang, Qihao Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI. - Ryan Sweke, Jean-Pierre Seifert, Dominik Hangleiter, Jens Eisert:
On the Quantum versus Classical Learnability of Discrete Distributions. - Alex Gaudio, Asim Smailagic, Aurélio Campilho:
Enhancement of Retinal Fundus Images via Pixel Color Amplification. - Archit Parnami, Minwoo Lee:
Few-Shot Keyword Spotting With Prototypical Networks. - Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux:
AutoClip: Adaptive Gradient Clipping for Source Separation Networks. - Katy Börner, Ellen M. Quardokus, Bruce William Herr II, Leonard E. Cross, Elizabeth G. Record, Yingnan Ju, Andreas D. Bueckle, James P. Sluka, Jonathan C. Silverstein, Kristen M. Browne, Sanjay Jain, Clive H. Wasserfall, Marda L. Jorgensen, Jeffrey M. Spraggins, Nathan Heath Patterson, Mark A. Musen, Griffin M. Weber:
Construction and Usage of a Human Body Common Coordinate Framework Comprising Clinical, Semantic, and Spatial Ontologies. - Mikayla Kelley:
On Accuracy and Coherence with Infinite Opinion Sets. - Jakob Raymaekers, Peter J. Rousseeuw, Mia Hubert:
Visualizing classification results. - Viresh Patel, Fabian Stroh:
A polynomial-time algorithm to determine (almost) Hamiltonicity of dense regular graphs. - Yuanhao Gong:
Decompose X-ray Images for Bone and Soft Tissue. - Boxuan Li, Martin Carrington, Peter Marbach:
Stable Community Structures and Social Exclusion. - Linwei Hu, Jie Chen, Vijayan N. Nair, Agus Sudjianto:
Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms. - Hyeong Soo Chang:
An Index-based Deterministic Asymptotically Optimal Algorithm for Constrained Multi-armed Bandit Problems. - Changwei Wang, Rongtao Xu, Shibiao Xu, Weiliang Meng, Jun Xiao, Qimin Peng, Xiaopeng Zhang:
Accurate 2D soft segmentation of medical image via SoftGAN network. - Sajjad AbdollahRamezani, Omid Hemmatyar, Ali Adibi:
Meta-optics for spatial optical analog computing. - Guillermo de Anda-Jáuregui, Plinio Guzmán, Maribel Hernández-Rosales:
The Contact Network of Mexico City. - Gabriel Mittag, Ross Cutler, Yasaman Hosseinkashi, Michael Revow, Sriram Srinivasan, Naglakshmi Chande, Robert Aichner:
DNN No-Reference PSTN Speech Quality Prediction. - Ruixiong Zhang, Haiwei Wu, Wubo Li, Dongwei Jiang, Wei Zou, Xiangang Li:
Transformer based unsupervised pre-training for acoustic representation learning. - Mahtab Uddin, Mohammad Monir Uddin, Md. Motlubar Rahman:
Interpolatory projection technique for Riccati-based feedback stabilization of index-1 descriptor systems. - Rakib Hyder, Zikui Cai, M. Salman Asif:
Solving Phase Retrieval with a Learned Reference. - Yifan Jiang, Han Chen, Murray H. Loew, Hanseok Ko:
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network. - Giulia Luise, Massimiliano Pontil, Carlo Ciliberto:
Generalization Properties of Optimal Transport GANs with Latent Distribution Learning. - Anna Kazeykina, Zhenjie Ren, Xiaolu Tan, Junjian Yang:
Ergodicity of the underdamped mean-field Langevin dynamics. - Stéphane Clain, Diogo Lopes, Rui M. S. Pereira:
Very high-order Cartesian-grid finite difference method on arbitrary geometries. - Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Yoshinobu Kawahara:
Kernel Mean Embeddings of Von Neumann-Algebra-Valued Measures. - Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc:
Learning Output Embeddings in Structured Prediction. - Katharina Prinz, Arthur Flexer:
End-to-End Adversarial White Box Attacks on Music Instrument Classification. - Di Ma, Fan Zhang, David R. Bull:
Video compression with low complexity CNN-based spatial resolution adaptation. - Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation. - Tomás M. Coronado, Arnau Mir, Francesc Rosselló:
Squaring within the Colless index yields a better balance index. - Andreas Hauptmann, Jonas Adler:
On the unreasonable effectiveness of CNNs. - Athanasios Kehagias, Georgios Konstantinidis:
Some Game Theoretic Remarks on Two-Player Generalized Cops and Robbers Games. - Jin Hu, Constantine Sideris:
A Chebyshev-based High-order-accurate Integral Equation Solver for Maxwell's Equations. - Nihad Karim Chowdhury, Md. Muhtadir Rahman, Muhammad Ashad Kabir:
PDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture for Detecting COVID-19 from Chest X-Ray Images. - Alexey Ovchinnikov, Gleb Pogudin, Peter Thompson:
Parameter identifiability and input-output equations. - Saba Heidari Gheshlaghi, Omid Dehzangi, Ali Dabouei, Annahita Amireskandari, Ali Rezai, Nasser M. Nasrabadi:
Efficient OCT Image Segmentation Using Neural Architecture Search. - Margarita V. Korovina, Oleg V. Kudinov:
On the computability of ordered fields. - Kamesh Krishnamurthy, Tankut Can, David J. Schwab:
Theory of gating in recurrent neural networks. - Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan:
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis. - Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng:
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification. - Donghuo Zeng, Yi Yu, Keizo Oyama:
Unsupervised Generative Adversarial Alignment Representation for Sheet music, Audio and Lyrics. - Constance Beguier, Eric W. Tramel:
SAFER: Sparse secure Aggregation for FEderated leaRning. - Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandakar Reajul Islam, Khandaker F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad Tariqul Islam, Zaid Bin Mahbub, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury:
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization. - Ioannis Kontoyiannis, Lambros Mertzanis, Athina Panotopoulou, Ioannis Papageorgiou, Maria Skoularidou:
Bayesian Context Trees: Modelling and exact inference for discrete time series. - Jeffrey O. Shallit:
Robbins and Ardila meet Berstel. - Feng Huang, Ming Cao, Long Wang:
Learning enables adaptation in cooperation for multi-player stochastic games. - Zhuohuang Zhang, Chengyun Deng, Yi Shen, Donald S. Williamson, Yongtao Sha, Yi Zhang, Hui Song, Xiangang Li:
On Loss Functions and Recurrency Training for GAN-based Speech Enhancement Systems. - Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data. - Zhuohuang Zhang, Donald S. Williamson, Yi Shen:
Investigation of Phase Distortion on Perceived Speech Quality for Hearing-impaired Listeners. - Kyle Harrison, Amit Kumar Mishra:
Supervised Neural Networks for RFI Flagging. - Robert M. Gower, Margarida P. Mello:
A new framework for the computation of Hessians. - Jianhao He, Feidiao Yang, Jialin Zhang, Lvzhou Li:
Online Convex Optimization with Classical and Quantum Evaluation Oracles. - Peter Gmeiner:
Information-Theoretic Approximation to Causal Models. - Ranya Aloufi, Hamed Haddadi, David Boyle:
Privacy-preserving Voice Analysis via Disentangled Representations. - Siyuan Feng:
Exploiting Cross-Lingual Knowledge in Unsupervised Acoustic Modeling for Low-Resource Languages. - Emily Toomey, Ken Segall, Matteo Castellani, Marco Colangelo, Nancy A. Lynch, Karl K. Berggren:
A superconducting nanowire spiking element for neural networks. - Saeid Sedighi, Kumar Vijay Mishra, M. R. Bhavani Shankar, Björn E. Ottersten:
Localization with One-Bit Passive Radars in Narrowband Internet-of-Things using Multivariate Polynomial Optimization. - Saeed Saremi:
Unnormalized Variational Bayes. - Othman Oudghiri-Idrissi, Bojan B. Guzina, Shixu Meng:
On the spectral asymptotics of waves in periodic media with Dirichlet or Neumann exclusions. - Shahab Dehghan, Agnes Marjorie Nakiganda, James Lancaster, Petros Aristidou:
Towards a Sustainable Microgrid on Alderney Island Using a Python-based Energy Planning Tool. - Kenji Yamanishi, Linchuan Xu, Ryo Yuki, Shintaro Fukushima, Chuan-hao Lin:
Change Sign Detection with Differential MDL Change Statistics and its Applications to COVID-19 Pandemic Analysis. - Jinyu Li, Rui Zhao, Zhong Meng, Yanqing Liu, Wenning Wei, Sarangarajan Parthasarathy, Vadim Mazalov, Zhenghao Wang, Lei He, Sheng Zhao, Yifan Gong:
Developing RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability. - Akira Nakagawa, Keizo Kato:
Quantitative Understanding of VAE by Interpreting ELBO as Rate Distortion Cost of Transform Coding. - Santanu S. Dey, Yatharth Dubey, Marco Molinaro:
Branch-and-Bound Solves Random Binary Packing IPs in Polytime. - Iasson Karafyllis, Miroslav Krstic:
ISS Estimates in the Spatial Sup-Norm for Nonlinear 1-D Parabolic PDEs. - Armin Aligholian, Alireza Shahsavari, Emma M. Stewart, Ed Cortez, Hamed Mohsenian Rad:
Unsupervised Event Detection, Clustering, and Use Case Exposition in Micro-PMU Measurements. - Farbod Khoshnoud, Lucas Lamata, Clarence W. de Silva, Marco B. Quadrelli:
Quantum Teleportation for Control of Dynamic Systems and Autonomy. - Jinhyeok Yang, Junmo Lee, Young-Ik Kim, Hoon-Young Cho, Injung Kim:
VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network. - Sanghyun Park, Phanish Puranam:
Learning what they think vs. learning what they do: The micro-foundations of vicarious learning. - Jae-Sung Bae, Hanbin Bae, Young-Sun Joo, Junmo Lee, Gyeong-Hoon Lee, Hoon-Young Cho:
Speaking Speed Control of End-to-End Speech Synthesis using Sentence-Level Conditioning. - Xuechen Liu, Md. Sahidullah, Tomi Kinnunen:
A Comparative Re-Assessment of Feature Extractors for Deep Speaker Embeddings. - Marie Billaud Friess, Arthur Macherey, Anthony Nouy, Clémentine Prieur:
A PAC algorithm in relative precision for bandit problem with costly sampling. - Guoyuan Chen:
A deep learning algorithm for the stable manifolds of the Hamilton-Jacobi equations. - Naveed Ul Hassan, Chongwen Huang, Chau Yuen, Ayaz Ahmad, Yan Zhang:
Dense Small Satellite Networks for Modern Terrestrial Communication Systems: Benefits, Infrastructure, and Technologies. - Matthias Pezzutto, Nicolás Bono Rosselló, Luca Schenato, Emanuele Garone:
Smart Testing and Selective Quarantine for the Control of Epidemics. - Antigoni Panagiotopoulou, Lazaros Grammatikopoulos, Eleni Charou, Emmanuel Bratsolis, Nicholas Madamopoulos, John Petrogonas:
Very Deep Super-Resolution of Remotely Sensed Images with Mean Square Error and Var-norm Estimators as Loss Functions. - Arkajyoti Saha, Sumanta Basu, Abhirup Datta:
Random Forests for dependent data. - Liangyong Yu, Ran Li, Xiangrui Zeng, Hongyi Wang, Jie Jin, Ge Yang, Rui Jiang, Min Xu:
Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms. - Antonio Sze-To, Hamid R. Tizhoosh:
Searching for Pneumothorax in Half a Million Chest X-Ray Images. - Hao Hao Tan, Dorien Herremans:
Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling. - Sofie Tilborghs, Ine Dirks, Lucas Fidon, Siri Willems, Tom Eelbode, Jeroen Bertels, Bart Ilsen, Arne Brys, Adriana Dubbeldam, Nico Buls, Panagiotis Gonidakis, Sebastián Amador Sánchez, Annemiek Snoeckx, Paul M. Parizel, Johan de Mey, Dirk Vandermeulen, Tom Vercauteren, David Robben, Dirk Smeets, Frederik Maes, Jef Vandemeulebroucke, Paul Suetens:
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients. - Prasannavenkatesan Theerthagiri:
Forecasting Hyponatremia in hospitalized patients Using Multilayer Perceptron and Multivariate Linear Regression Techniques. - Muhammad Enamul Hoque Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad Tariqul Islam:
An early warning tool for predicting mortality risk of COVID-19 patients using machine learning. - Andrei Asinowski, Benjamin Hackl, Sarah J. Selkirk:
Down-step statistics in generalized Dyck paths. - Mahboobeh Parsapoor:
A Brain Emotional Learning-inspired Model For the Prediction of Geomagnetic Storms. - Nanzhe Wang, Haibin Chang, Dongxiao Zhang:
Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example. - Ning Xu, Timothy C. G. Fisher, Jian Hong:
Rademacher upper bounds for cross-validation errors with an application to the lasso. - Ning Xu:
Accuracy and stability of solar variable selection comparison under complicated dependence structures. - Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia:
Outlier Robust Mean Estimation with Subgaussian Rates via Stability. - Weinan E, Stephan Wojtowytsch:
On the Banach spaces associated with multi-layer ReLU networks: Function representation, approximation theory and gradient descent dynamics. - Elisabeth Degrand, François Fages, Sylvain Soliman:
Graphical Conditions for Rate Independence in Chemical Reaction Networks. - Mazen Ali, Anthony Nouy:
Approximation of Smoothness Classes by Deep ReLU Networks. - Harold Erbin, Riccardo Finotello:
Machine learning for complete intersection Calabi-Yau manifolds: a methodological study. - Ning Xu, Timothy C. G. Fisher, Jian Hong:
Solar: a least-angle regression for accurate and stable variable selection in high-dimensional data. - Leonardo Pepino, Pablo Riera, Lara Gauder, Agustín Gravano, Luciana Ferrer:
Detecting Distrust Towards the Skills of a Virtual Assistant Using Speech. - Fabien Durand, Dominique Perrin:
Dimension Groups and Dynamical Systems. - Feng Xu, Sergiy A. Vorobyov, Xiaopeng Yang:
Joint DOD and DOA Estimation in Slow-Time MIMO Radar via PARAFAC Decomposition. - Ning Xu, Timothy C. G. Fisher, Jian Hong:
Ultrahigh dimensional instrument detection using graph learning: an application to high dimensional GIS-census data for house pricing. - Deanna Needell, Aaron A. Nelson, Rayan Saab, Palina Salanevich:
Random Vector Functional Link Networks for Function Approximation on Manifolds. - Botao Hao, Jie Zhou, Zheng Wen, Will Wei Sun:
Low-rank Tensor Bandits. - Xuan Dong, Donald S. Williamson:
A Pyramid Recurrent Network for Predicting Crowdsourced Speech-Quality Ratings of Real-World Signals. - Mukund Sudarshan, Wesley Tansey, Rajesh Ranganath:
Deep Direct Likelihood Knockoffs. - Masashi Wakaiki:
Strong Stability of Sampled-data Riesz-spectral Systems. - Govinda Anantha Padmanabha, Nicholas Zabaras:
Solving inverse problems using conditional invertible neural networks. - Shota Horiguchi, Yusuke Fujita, Kenji Nagamatsu:
Utterance-Wise Meeting Transcription System Using Asynchronous Distributed Microphones. - Marius Protte, René Fahr, Daniel E. Quevedo:
Behavioral Economics for Human-in-the-loop Control Systems Design: Overconfidence and the hot hand fallacy. - Dalu Yang, Yehui Yang, Tiantian Huang, Binghong Wu, Lei Wang, Yanwu Xu:
Residual-CycleGAN based Camera Adaptation for Robust Diabetic Retinopathy Screening. - Xu Sun, Xingxing Cao, Yehui Yang, Lei Wang, Yanwu Xu:
Robust Retinal Vessel Segmentation from a Data Augmentation Perspective. - Linchuan Xu, Jun Huang, Atsushi Nitanda, Ryo Asaoka, Kenji Yamanishi:
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification. - Liang Yang, Yongjie Yuan:
Secrecy Outage Probability Analysis for RIS-Assisted NOMA Systems. - Daniela di Serafino, Natasa Krejic, Natasa Krklec Jerinkic, Marco Viola:
LSOS: Line-search Second-Order Stochastic optimization methods. - Igor Omelyan, Yuri Kozitsky, Krzysztof Pilorz:
Algorithm for numerical solutions to the kinetic equation of a spatial population dynamics model with coalescence and repulsive jumps. - Xiaoxian Guo, Xiantao Zhang, Xinliang Tian, Xin Li, Wenyue Lu:
Predicting heave and surge motions of a semi-submersible with neural networks. - Josh Payne, Mario Srouji, Dian Ang Yap, Vineet Kosaraju:
BERT Learns (and Teaches) Chemistry. - Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Miska M. Hannuksela, Emre Aksu, Esa Rahtu:
L2C - Learning to Learn to Compress. - Hubert J. Banville, Omar Chehab, Aapo Hyvärinen, Denis-Alexander Engemann, Alexandre Gramfort:
Uncovering the structure of clinical EEG signals with self-supervised learning. - Samuel Ackerman, Parijat Dube, Eitan Farchi:
Sequential Drift Detection in Deep Learning Classifiers. - Ramen Ghosh, Jakub Marecek, Wynita M. Griggs, Matheus Souza, Robert N. Shorten:
Predictability and Fairness in Social Sensing. - Jeffrey W. Herrmann, Kunal Mehta:
Lookahead and Hybrid Sample Allocation Procedures for Multiple Attribute Selection Decisions. - Junxiong Yu, Chaoyu Chen, Xin Yang, Yi Wang, Dan Yan, Jianxing Zhang, Dong Ni:
Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network. - Camilo Miguel Signorelli, Quanlong Wang, Ilyas Khan:
A Compositional Model of Consciousness based on Consciousness-Only. - Jeremy Auerbach, Hyun Kim:
Network connectivity optimization: An evaluation of heuristics applied to complex networks and a transportation case study. - Manoj Kumar, Tae Jin Park, Somer Bishop, Shrikanth Narayanan:
Designing Neural Speaker Embeddings with Meta Learning. - Nicolas M. de Oliveira, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Adenilton J. da Silva:
Quantum One-class Classification With a Distance-based Classifier. - Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus:
Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers. - Sami Belkacem:
COVID-19 Data Analysis and Forecasting: Algeria and the World. - Dana Lahat, Yanbin Lang, Vincent Y. F. Tan, Cédric Févotte:
Positive Semidefinite Matrix Factorization: A Connection with Phase Retrieval and Affine Rank Minimization. - Qiyou Duan, Taejoon Kim, Hadi G. Ghauch:
Enhanced Beam Alignment for Millimeter Wave MIMO Systems: A Kolmogorov Model. - Aly Sabri Abdalla, Keith Powell, Vuk Marojevic, Giovanni Geraci:
UAV-Assisted Attack Prevention, Detection, and Recovery of 5G Networks. - Vikash Pandey:
Charge-voltage relation for a universal capacitor. - Sumeet Khatri:
Policies for elementary link generation in quantum networks. - Adel Daoud, Anders Herlitz, S. V. Subramanian:
Combining distributive ethics and causal Inference to make trade-offs between austerity and population health. - Song Tian:
Translating the discrete logarithm problem on Jacobians of genus 3 hyperelliptic curves with (ℓ, ℓ, ℓ)-isogenies. - Braden Kronheim, Michelle P. Kuchera, Harrison B. Prosper, Alexander Karbo:
Bayesian Neural Networks for Fast SUSY Predictions. - Austin Gilliam, Marco Pistoia, Constantin Gonciulea:
Optimizing Quantum Search with a Binomial Version of Grover's Algorithm. - Wicak Ananduta, Carlos Ocampo-Martinez:
Event-triggered Partitioning for Non-centralized Predictive-Control-based Economic Dispatch of Interconnected Microgrids: Technical Report. - Krzysztof M. Graczyk, Maciej Matyka:
Predicting Porosity, Permeability, and Tortuosity of Porous Media from Images by Deep Learning. - Vera von Burg, Guang Hao Low, Thomas Häner, Damian S. Steiger, Markus Reiher, Martin Roetteler, Matthias Troyer:
Quantum computing enhanced computational catalysis.
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