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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.