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ORCIDCoRR, February 2021
- Abderrazak Chahid
, Ibrahima N'Doye, John E. Majoris, Michael L. Berumen, Taous-Meriem Laleg-Kirati:
Model Predictive Control Paradigms for Fish Growth Reference Tracking in Precision Aquaculture. - Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov:
Gesture Recognition in Robotic Surgery: a Review. - Devin Willmott, Anit Kumar Sahu, Fatemeh Sheikholeslami, Filipe Condessa, J. Zico Kolter:
You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries. - Joseph Lubars, Anna Winnicki, Michael Livesay, R. Srikant:
Optimistic Policy Iteration for MDPs with Acyclic Transient State Structure. - Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference using Memory-immersed Data Conversion and Multiplication-free Operators. - Soya Park, April Yi Wang, Ban Kawas, Q. Vera Liao, David Piorkowski, Marina Danilevsky:
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models. - Erik Burman, Peter Hansbo, Mats G. Larson:
Error estimates for the Smagorinsky turbulence model: enhanced stability through scale separation and numerical stabilization. - Soham Chakraborty, Sourav Patel, Murti V. Salapaka:
Recovery of Power Flow to Critical Infrastructures using Mode-dependent Droop-based Inverters. - Hemant Kumar Aggarwal, Mathews Jacob:
Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator. - Meir Feder, Yury Polyanskiy:
Sequential prediction under log-loss and misspecification. - Aleksander Czechowski, Georgios Piliouras:
Poincaré-Bendixson Limit Sets in Multi-Agent Learning. - Xiaohan Kang, Bruce E. Hajek:
Lower Bounds on Information Requirements for Causal Network Inference. - Michael Chiu, Uros Kalabic:
Debt Representation in UTXO Blockchains. - Jae Shin Yoon, Kihwan Kim, Jan Kautz, Hyun Soo Park:
Neural 3D Clothes Retargeting from a Single Image. - Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei:
RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference. - Sayak Mukherjee, Renke Huang, Qiuhua Huang, Thanh Long Vu, Tianzhixi Yin:
Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning. - Elizabeth Qian, Ionut-Gabriel Farcas, Karen Willcox:
Reduced operator inference for nonlinear partial differential equations. - Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona:
A linearized framework and a new benchmark for model selection for fine-tuning. - Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
Challenges in Automated Debiasing for Toxic Language Detection. - Amjad Dehman, Bilal Farooq:
Are Work Zones and Connected Automated Vehicles Ready for a Harmonious Coexistence? A Scoping Review and Research Agenda. - Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling. - Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs. - Ling Huang, Su Ruan, Thierry Denoeux:
Belief function-based semi-supervised learning for brain tumor segmentation. - Sangjun Lee, Byung-Cheol Min:
Distributed Control of Multi-Robot Systems in the Presence of Deception and Denial of Service Attacks. - Henrique Ferraz de Arruda, Felipe Maciel Cardoso, Guilherme Ferraz de Arruda, Alexis R. Hernandez, Luciano da F. Costa, Yamir Moreno:
Modeling how social network algorithms can influence opinion polarization. - Hailiang Liu, Zhongming Wang, Peimeng Yin, Hui Yu:
Positivity-preserving third order DG schemes for Poisson--Nernst--Planck equations. - Nathan Clement, Alan Schoen, Arnold P. Boedihardjo, Andrew Jenkins:
Synthetic Data and Hierarchical Object Detection in Overhead Imagery. - Melven Röhrig-Zöllner, Jonas Thies, Achim Basermann:
Performance of low-rank approximations in tensor train format (TT-SVD) for large dense tensors. - Martin R. Pfaller, Jonathan Pham, Nathan M. Wilson, David W. Parker, Alison L. Marsden:
On the periodicity of cardiovascular fluid dynamics simulations. - Jasmine Sekhon, Cody H. Fleming:
SCAN: A Spatial Context Attentive Network for Joint Multi-Agent Intent Prediction. - Yixuan Wu, Yanzhi Zhang:
A universal solution scheme for fractional and classical PDEs. - Parker B. Edwards, Jonathan D. Hauenstein, Clifford D. Smyth:
Certified evaluations of Hölder continuous functions at roots of polynomials. - Konpal Shaukat Ali, Ekram Hossain, Md. Jahangir Hossain:
Partial Non-Orthogonal Multiple Access (NOMA) in Downlink Poisson Networks. - Maruan Al-Shedivat, Liam Li, Eric Poe Xing, Ameet Talwalkar:
On Data Efficiency of Meta-learning. - Nil-Jana Akpinar, Maria De-Arteaga, Alexandra Chouldechova:
The effect of differential victim crime reporting on predictive policing systems. - Donald M. Stull:
The Dimension Spectrum Conjecture for Planar Lines. - Guanghui Lan:
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes. - Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. - Ivan V. Bajic:
Latent-Space Inpainting for Packet Loss Concealment in Collaborative Object Detection. - Shahram Mollahasani, Melike Erol-Kantarci, Mahdi Hirab, Hoda Dehghan, Rodney Wilson:
Actor-Critic Learning Based QoS-Aware Scheduler for Reconfigurable Wireless Networks. - Roel Van Beeumen, Lana Perisa, Daniel Kressner, Chao Yang:
A Flexible Power Method for Solving Infinite Dimensional Tensor Eigenvalue Problems. - Mingliang Xiong, Mingqing Liu, Qingwei Jiang, Jie Zhou, Qingwen Liu, Hao Deng:
Retro-Reflective Beam Communications with Spatially Separated Laser Resonator. - Haruya Sakashita, Christoph Flothow, Noriko Takemura, Yusuke Sugano:
DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic Segmentation. - Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Expressive Neural Voice Cloning. - Zhengzhong Tu, Chia-Ju Chen, Li-Heng Chen, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik:
Regression or Classification? New Methods to Evaluate No-Reference Picture and Video Quality Models. - Alexander Zeier, Alexander Wiesmaier, Andreas Heinemann:
Zur Integration von Post-Quantum Verfahren in bestehende Softwareprodukte. - Soravitt Sangnark, Phairot Autthasan, Puntawat Ponglertnapakorn, Phudit Chalekarn, Thapanun Sudhawiyangkul, Manatsanan Trakulruangroj, Sarita Songsermsawad, Rawin Assabumrungrat, Supalak Amplod, Kajornvut Ounjai, Theerawit Wilaiprasitporn:
Revealing Preference in Popular Music Through Familiarity and Brain Response. - S. H. Shabbeer Basha, Mohammad Farazuddin, Viswanath Pulabaigari, Shiv Ram Dubey, Snehasis Mukherjee:
Deep Model Compression based on the Training History. - Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu:
OpenMatch: An Open-Source Package for Information Retrieval. - Ambedkar Dukkipati, Rajarshi Banerjee, Ranga Shaarad Ayyagari, Dhaval Parmar Udaybhai:
Stay Alive with Many Options: A Reinforcement Learning Approach for Autonomous Navigation. - Weizhe Yuan, Pengfei Liu, Graham Neubig:
Can We Automate Scientific Reviewing? - Chao Li, Balaji Palanisamy, Runhua Xu, Jinlai Xu, Jingzhe Wang:
SteemOps: Extracting and Analyzing Key Operations in Steemit Blockchain-based Social Media Platform. - Tiffany Hwu, Mia Levy, Steven Skorheim, David Huber:
Matching Representations of Explainable Artificial Intelligence and Eye Gaze for Human-Machine Interaction. - Letizia Jaccheri, Cristina Pereira, Swetlana Fast:
Gender Issues in Computer Science: Lessons Learnt and Reflections for the Future. - (Withdrawn) Coupling innovation method and feasibility analysis of garbage classification.
- Nicola Melluso, Andrea Bonaccorsi, Filippo Chiarello, Gualtiero Fantoni:
Rapid detection of fast innovation under the pressure of COVID-19. - Yaoyu Zhang, Tao Luo, Zheng Ma, Zhi-Qin John Xu:
Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks. - Andres Ferraro, Yuntae Kim, Soohyeon Lee, Biho Kim, Namjun Jo, Semi Lim, Suyon Lim, Jungtaek Jang, Sehwan Kim, Xavier Serra, Dmitry Bogdanov:
Melon Playlist Dataset: a public dataset for audio-based playlist generation and music tagging. - Gang Peng, Zhenyu Ren, Hao Wang, Xinde Li:
A self-supervised learning-based 6-DOF grasp planning method for manipulator. - Christian M. Dahl, Emil N. Sørensen:
Time Series (re)sampling using Generative Adversarial Networks. - George Cann, Anthony Bourached, Ryan-Rhys Griffiths, David G. Stork:
Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks. - Jaime Moraga, Gurbet Gurkan, H. Sebnem Düzgün:
Monitoring the Impacts of a Tailings Dam Failure Using Satellite Images. - Nikita P. Desai, Vipul K. Dabhi:
Taxonomic survey of Hindi Language NLP systems. - Ari Pakman, Dar Gilboa, Elad Schneidman:
Estimating the Unique Information of Continuous Variables. - Jiawei Zhang, Yanchun Zhang, Xiaowei Xu:
ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation. - Patrick Diehl, Dominic Marcello, Parsa Amini, Hartmut Kaiser, Sagiv Shiber, Geoffrey C. Clayton, Juhan Frank, Gregor Daiß, Dirk Pflüger, David Eder, Alice Koniges, Kevin A. Huck:
Performance Measurements within Asynchronous Task-based Runtime Systems: A Double White Dwarf Merger as an Application. - Tong Guo:
Learning From How Human Correct. - Matteo Macchini, Manana Lortkipanidze, Fabrizio Schiano, Dario Floreano:
The Impact of Virtual Reality and Viewpoints in Body Motion Based Drone Teleoperation. - Radu Dogaru, Ioana Dogaru:
NL-CNN: A Resources-Constrained Deep Learning Model based on Nonlinear Convolution. - Chengwei Zhang, Yangzhou Jiang, Wei Zhang, Chengyu Gu:
MUSE: Multi-Scale Temporal Features Evolution for Knowledge Tracing. - Pranali Bora, Tulika Awalgaonkar, Himanshu Palve, Raviraj Joshi, Purvi Goel:
ICodeNet - A Hierarchical Neural Network Approach for Source Code Author Identification. - Ruo Li, Wei Zhong:
An efficient mapped WENO scheme using approximate constant mapping. - Xuejun Li, Ran Ding, Xiao Liu, Jia Xu, Yun Yang, John C. Grundy:
EdgeWorkflowReal: An Edge Computing based Workflow Execution Engine for Smart Systems. - Lekshmi Ramesh, Chandra R. Murthy, Himanshu Tyagi:
Phase Transition for Support Recovery from Gaussian Linear Measurements. - Rutuja Taware, Shraddha Varat, Gaurav Salunke, Chaitanya Gawande, Geetanjali Kale, Rahul Khengare, Raviraj Joshi:
ShufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification Models. - Qing-Long Zhang, Yu-Bin Yang:
SA-Net: Shuffle Attention for Deep Convolutional Neural Networks. - Shilun Lin, Fenglong Xie, Xinhui Li, Li Lu:
Triple M: A Practical Neural Text-to-speech System With Multi-guidance Attention And Multi-band Multi-time Lpcnet. - Yiqiu Dong, Chunlin Wu, Shi Yan:
A fast method for simultaneous reconstruction and segmentation in X-ray CT application. - Sebastian Vizcay, Panagiotis Kourtesis, Ferran Argelaguet, Claudio Pacchierotti, Maud Marchal:
Electrotactile Feedback in Virtual Reality For Precise and Accurate Contact Rendering. - Sabah Al-Fedaghi:
Conceptual Temporal Modeling Applied to Databases. - Jakob Stolberg-Larsen, Stefan Sommer:
Atlas Generative Models and Geodesic Interpolation. - Joanna Grzyb, Jakub Klikowski, Michal Wozniak:
Hellinger Distance Weighted Ensemble for Imbalanced Data Stream Classification. - Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li:
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. - Bhanu Prakash Reddy Guda, Aparna Garimella, Niyati Chhaya:
EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction. - Rafael F. Reale, Walter da Costa Pinto Neto, Joberto S. B. Martins:
BAMSim Simulator. - William W. Howard, Charles E. Thornton, Anthony F. Martone, R. Michael Buehrer:
Multi-player Bandits for Distributed Cognitive Radar. - Eva Vanmassenhove, Dimitar Sht. Shterionov, Matthew Gwilliam:
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation. - Maurício Gruppi, Sibel Adali, Pin-Yu Chen:
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks. - Wen-Chin Huang, Chia-Hua Wu, Shang-Bao Luo, Kuan-Yu Chen, Hsin-Min Wang, Tomoki Toda:
Speech Recognition by Simply Fine-tuning BERT. - Seyed Ziae Mousavi Mojab, Seyedmohammad Shams, Hamid Soltanian-Zadeh, Farshad Fotouhi:
Epistocracy Algorithm: A Novel Hyper-heuristic Optimization Strategy for Solving Complex Optimization Problems. - Chris Hobbs, Waqar Ahmed:
Using Bayesian Modelling to Predict Software Incidents. - Ian Colbert, Jake Daly, Kenneth Kreutz-Delgado, Srinjoy Das:
A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications? - Nicole Han, Sudhanshu Srivastava, Aiwen Xu, Devi Klein, Michael Beyeler:
Deep Learning-Based Scene Simplification for Bionic Vision. - Jeremy Barnes, Lilja Øvrelid, Erik Velldal:
If you've got it, flaunt it: Making the most of fine-grained sentiment annotations. - Mahbubur Rahman, Dali Ismail, Venkata P. Modekurthy, Abusayeed Saifullah:
LPWAN in the TV White Spaces: A Practical Implementation and Deployment Experiences. - Wendson A. S. Barbosa, Aaron Griffith, Graham E. Rowlands, Luke C. G. Govia, Guilhem J. Ribeill, Minh-Hai Nguyen, Thomas A. Ohki, Daniel J. Gauthier:
Symmetry-Aware Reservoir Computing. - Violet Xinying Chen, John N. Hooker:
Fairness through Optimization. - Ilya Kavalerov, Frank Zheng, Wojciech Czaja, Rama Chellappa:
Cortical Features for Defense Against Adversarial Audio Attacks. - Gal Vardi, Daniel Reichman, Toniann Pitassi, Ohad Shamir:
Size and Depth Separation in Approximating Natural Functions with Neural Networks. - Pedram Fekri, Ali Akbar Safavi, Mehrdad Hosseini Zadeh, Peyman Setoodeh:
Metalearning: Sparse Variable-Structure Automata. - Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar:
Efficient CNN Building Blocks for Encrypted Data. - Orestis Papadigenopoulos, Constantine Caramanis:
Recurrent Submodular Welfare and Matroid Blocking Bandits. - Mayank Gupta, Lingjun Chen, Denny Yu, Vaneet Aggarwal:
A Supervised Learning Approach for Robust Health Monitoring using Face Videos. - Juan Felipe Hernández Albarracín, Adín Ramírez Rivera:
Video Reenactment as Inductive Bias for Content-Motion Disentanglement. - Mauro Maggioni, Jason Miller, Hongda Qiu, Ming Zhong:
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds. - Li Zhou, Gilles Barthe, Justin Hsu, Mingsheng Ying, Nengkun Yu:
A Quantum Interpretation of Bunched Logic for Quantum Separation Logic. - Milad Vaali Esfahaani, Yanbo Xue, Peyman Setoodeh:
Deep Reinforcement Learning-Based Product Recommender for Online Advertising. - Benjamin Capps, Jacob Schrum:
Using Multiple Generative Adversarial Networks to Build Better-Connected Levels for Mega Man. - Prosenjit Bose, Pilar Cano, Rolf Fagerberg, John Iacono, Riko Jacob, Stefan Langerman:
Fragile Complexity of Adaptive Algorithms. - Aref Hakimzadeh, Yanbo Xue, Peyman Setoodeh:
Enacted Visual Perception: A Computational Model based on Piaget Equilibrium. - Mir Lodro, Steve Greedy, Sirio Belga Fedeli, Christopher Smartt, Ana Vukovic, David W. P. Thomas, Gabriele Gradoni:
Statistical Characterization of Wireless MIMO Channels in Mode-Stirred Enclosures. - Xue-Lei Lin, Michael K. Ng, Yajing Zhi:
A parallel-in-time two-sided preconditioning for all-at-once system from a non-local evolutionary equation with weakly singular kernel. - Lingtong Kong, Xiaohang Yang, Jie Yang:
OAS-Net: Occlusion Aware Sampling Network for Accurate Optical Flow. - Dongliang Chang, Yixiao Zheng, Zhanyu Ma, Ruoyi Du, Kongming Liang:
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features. - Zhian Kuang, Liting Sun, Huijun Gao, Masayoshi Tomizuka:
Precise Motion Control of Wafer Stages via Adaptive Neural Network and Fractional-Order Super-Twisting Algorithm. - Yunkai Yu, Zhihong Yang, Yuyang You, Guozheng Liu, Peiyao Li, Zhicheng Yang, Wenjing Shan:
Spectral Roll-off Points: Estimating Useful Information Under the Basis of Low-frequency Data Representations. - Wei Jiang, Buyang Li:
A perimeter-decreasing and area-conserving algorithm for surface diffusion flow of curves. - Wissam Kontar, Soyoung Ahn:
Real-time Monitoring of Autonomous Vehicle's Time Gap Variations: A Bayesian Framework. - Bing Wei, Kuangrong Hao, Lei Gao:
MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images. - Yishuai Li, Benjamin C. Pierce, Steve Zdancewic:
Model-Based Testing of Networked Applications. - Stephanie Ger, Diego Klabjan, Jean Utke:
Classification Models for Partially Ordered Sequences. - Yang Zhang, Moyun Liu, Yang Yang, Yanwen Guo, Huiming Zhang:
A Unified Light Framework for Real-time Fault Detection of Freight Train Images. - Ruchit Agrawal, Daniel Wolff, Simon Dixon:
Structure-Aware Audio-to-Score Alignment using Progressively Dilated Convolutional Neural Networks. - Yiming Peng, Hisao Ishibuchi:
Niching Diversity Estimation for Multi-modal Multi-objective Optimization. - Guangsheng Bao, Yue Zhang:
Contextualized Rewriting for Text Summarization. - Lanbo Lin, Yujiu Yang, Zhenhua Guo:
AACP: Model Compression by Accurate and Automatic Channel Pruning. - Majid Asgari-Bidhendi, Behrooz Janfada, Amir Havangi, Sayyed-Ali Hossayni, Behrouz Minaei-Bidgoli:
An Unsupervised Language-Independent Entity Disambiguation Method and its Evaluation on the English and Persian Languages. - Liqun Yang, Yijun Yang, Yao Wang, Zhenyu Yang, Wei Zeng:
The distance between the weights of the neural network is meaningful. - Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin:
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. - Ralf R. Müller, Bernhard Gäde, Ali Bereyhi:
Linear Computation Coding. - Pooja Nayak Muralidhar, B. Sundar Rajan:
Multi-access Coded Caching from a New Class of Cross Resolvable Designs. - Wenzhuo Yang, Yipeng Zhou, Miao Hu, Di Wu, James Xi Zheng, Hui Wang, Song Guo:
Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning. - Sagor Sarker:
BNLP: Natural language processing toolkit for Bengali language. - Wenyuan Kong, Teng Fei, Thom Jencks:
Emotion and color in paintings: a novel temporal and spatial quantitative perspective. - Jie Yang, Ziyi Liu, Ulian Shahnovich, Orly Yadid-Pecht:
Tone Mapping Based on Multi-scale Histogram Synthesis. - Zhi Chen, Fan Yang, Wenbing Tao:
Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences. - Arieh Iserles, Karolina Kropielnicka, Katharina Schratz, Marcus Webb:
Solving the linear semiclassical Schrödinger equation on the real line. - Michael Thomas Knierim, Christoph Berger, Pierluigi Reali:
Open-Source Concealed EEG Data Collection for Brain-Computer-Interfaces - Real-World Neural Observation Through OpenBCI Amplifiers with Around-the-Ear cEEGrid Electrodes. - Pranay Lohia:
Priority-based Post-Processing Bias Mitigation for Individual and Group Fairness. - Hendrik Speleers:
Computation of multi-degree Tchebycheffian B-splines. - Teja Kanchinadam, Zihang Meng, Joseph Bockhorst, Vikas Singh, Glenn Fung:
Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center. - Sven Hofmann:
A Trust-Based Approach for Volunteer-Based Distributed Computing in the Context of Biological Simulation. - Reza Hadi Mogavi, Xiaojuan Ma, Pan Hui:
Characterizing Student Engagement Moods for Dropout Prediction in Question Pool Websites. - Alessandro Suglia, Yonatan Bisk, Ioannis Konstas, Antonio Vergari, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon:
An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games. - Mark Standke, Abdullah Kiwan, Annalena Lange, Silvan Berg:
Introduction of a novel word embedding approach based on technology labels extracted from patent data. - Teja Kanchinadam, Qian You, Keith Westpfahl, James Kim, Siva Gunda, Sebastian Seith, Glenn Fung:
A Simple yet Brisk and Efficient Active Learning Platform for Text Classification. - Jules Talloen, Joni Dambre, Alexander Vandesompele:
PyTorch-Hebbian: facilitating local learning in a deep learning framework. - Adam Polyak, Lior Wolf, Yossi Adi, Ori Kabeli, Yaniv Taigman:
High Fidelity Speech Regeneration with Application to Speech Enhancement. - Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian:
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. - Eran Malach, Gilad Yehudai, Shai Shalev-Shwartz, Ohad Shamir:
The Connection Between Approximation, Depth Separation and Learnability in Neural Networks. - Xiaosen Wang, Xuanran He, Jingdong Wang, Kun He:
Admix: Enhancing the Transferability of Adversarial Attacks. - Kyung-Wha Park, Jung-Woo Ha, Junghoon Lee, Sunyoung Kwon, Kyung-Min Kim, Byoung-Tak Zhang:
M2FN: Multi-step Modality Fusion for Advertisement Image Assessment. - Pengrui Quan, Ruiming Guo, Mani B. Srivastava:
Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss. - Nikita Puchkin, Nikita Zhivotovskiy:
Exponential Savings in Agnostic Active Learning through Abstention. - Alexander Bentkamp, Jasmin Blanchette, Sophie Tourret, Petar Vukmirovic, Uwe Waldmann:
Superposition with Lambdas. - Yiming Lei, Hongming Shan, Junping Zhang:
Meta ordinal weighting net for improving lung nodule classification. - Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb:
MultiRocket: Effective summary statistics for convolutional outputs in time series classification. - Neo C. K. Yiu:
Toward Blockchain-Enabled Supply Chain Anti-Counterfeiting and Traceability. - Eliseu Silva Torres, Rafael F. Reale, Leobino N. Sampaio, Joberto S. B. Martins:
A SDN/OpenFlow Framework for Dynamic Resource Allocation based on Bandwidth Allocation Model. - Bruno Jardim, Ricardo Rei, Mariana S. C. Almeida:
Multilingual Email Zoning. - Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang, Hongsheng Li:
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection. - Kelly B. Wagman, Lisa Parks:
Beyond the Command: Feminist STS Research and Critical Issues for the Design of Social Machines. - Matthew B. A. McDermott, Brendan Yap, Tzu-Ming Harry Hsu, Di Jin, Peter Szolovits:
Adversarial Contrastive Pre-training for Protein Sequences. - Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Mixup Regularized Adversarial Networks for Multi-Domain Text Classification. - Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc:
Extending Neural Keyword Extraction with TF-IDF tagset matching. - Anthony C. Constantinou, Zhigao Guo, Neville Kenneth Kitson:
Information fusion between knowledge and data in Bayesian network structure learning. - Adrian Korban, Serap Sahinkaya, Deniz Ustun:
New Type I Binary [72, 36, 12] Self-Dual Codes from Composite Matrices and R1 Lifts. - Steven T. Dougherty, Adrian Korban, Serap Sahinkaya, Deniz Ustun:
Group Matrix Ring Codes and Constructions of Self-Dual Codes. - Yichun Hu, Nathan Kallus, Masatoshi Uehara:
Fast Rates for the Regret of Offline Reinforcement Learning. - Alejandro Bellogín, Alan Said:
Improving Accountability in Recommender Systems Research Through Reproducibility. - Stefan Horoi, Jessie Huang, Guy Wolf, Smita Krishnaswamy:
Visualizing High-Dimensional Trajectories on the Loss-Landscape of ANNs. - Hirak Doshi, N. Uday Kiran:
Nonlinear Evolutionary PDE-Based Refinement of Optical Flow. - Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour:
Online Markov Decision Processes with Aggregate Bandit Feedback. - Nicolas Boullé, Alex Townsend:
Learning elliptic partial differential equations with randomized linear algebra. - Simone Stella, Christian Vergara, Massimiliano Maines, Domenico Catanzariti, Pasquale Claudio Africa, Cristina Demattè, Maurizio Centonze, Fabio Nobile, Maurizio Del Greco, Alfio Quarteroni:
Integration of activation maps of epicardial veins in computational cardiac electrophysiology. - Felix Brandt, Martin Bullinger, Patrick Lederer:
On the Indecisiveness of Kelly-Strategyproof Social Choice Functions. - James M. Murphy, Sam L. Polk:
A Multiscale Environment for Learning by Diffusion. - Farnoosh Heidary, Mehran Yazdi, Maryam Dehghani, Peyman Setoodeh:
Urban Change Detection by Fully Convolutional Siamese Concatenate Network with Attention. - Yifan Wang, Zhanxuan Mei, Chia-Yang Tsai, Ioannis Katsavounidis, C.-C. Jay Kuo:
A Machine Learning Approach to Optimal Inverse Discrete Cosine Transform (IDCT) Design. - Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice:
Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries. - Ankur Gupta, Yash Varun, Prarthana Das, Nithya Muttineni, Parth Srivastava, Hamim Zafar, Tanmoy Chakraborty, Swaprava Nath:
TruthBot: An Automated Conversational Tool for Intent Learning, Curated Information Presenting, and Fake News Alerting. - Xiaodong Jia, Bert Lindenhovius, Michael W. Mislove, Vladimir Zamdzhiev:
Commutative Monads for Probabilistic Programming Languages. - Edgard Chammas, Chafic Mokbel:
Fine-tuning Handwriting Recognition systems with Temporal Dropout. - John Bostanci, John Watrous:
Quantum game theory and the complexity of approximating quantum Nash equilibria. - Ghassan Samara:
Lane prediction optimization in VANET. - Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä:
Parallel Iterated Extended and Sigma-point Kalman Smoothers. - Sirvan Rahmati, Tianshi Lu:
Superconvergence of discontinuous Galerkin method for scalar and vector linear advection equations. - Sagi Marcovich, Eitan Yaakobi:
The Zero Cubes Free and Cubes Unique Multidimensional Constraints. - Saksham Consul, Lovis Heindrich, Jugoslav Stojcheski, Falk Lieder:
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning. - Ziyi Huang, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon, Yu Gan:
Co-Seg: An Image Segmentation Framework Against Label Corruption. - Victor Costa, Nuno Lourenço, João Correia, Penousal Machado:
Demonstrating the Evolution of GANs through t-SNE. - Geoffrey X. Yu, Yubo Gao, Pavel Golikov, Gennady Pekhimenko:
Computational Performance Predictions for Deep Neural Network Training: A Runtime-Based Approach. - Alexandre K. Ligo, Alexander Kott, Igor Linkov:
How to Measure Cyber Resilience of an Autonomous Agent: Approaches and Challenges. - Lisa Anne Hendricks, John Mellor, Rosalia Schneider, Jean-Baptiste Alayrac, Aida Nematzadeh:
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers. - Xi Yu, Shujian Yu, José C. Príncipe:
Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional. - Siqiao Ruan, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das:
Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework. - Robert Beinert, Marzieh Hasannasab:
Phase Retrieval via Polarization in Dynamical Sampling. - Di He, Lei Xie:
CODE-AE: A Coherent De-confounding Autoencoder for Predicting Patient-Specific Drug Response From Cell Line Transcriptomics. - Leonid Pugachev, Mikhail Burtsev:
Short Text Clustering with Transformers. - Erik C. Rye, Robert Beverly, kc claffy:
Follow the Scent: Defeating IPv6 Prefix Rotation Privacy. - Meng Liu, Keqiang Yan, Bora Oztekin, Shuiwang Ji:
GraphEBM: Molecular Graph Generation with Energy-Based Models. - Victoire Djimna Noyum, Younous Perieukeu Mofenjou, Cyrille Feudjio, Alkan Göktug, Ernest Fokoué:
Boosting the Predictive Accurary of Singer Identification Using Discrete Wavelet Transform For Feature Extraction. - Siddhartha Srivastava, Veera Sundararaghavan:
Bandgap optimization in combinatorial graphs with tailored ground states: Application in Quantum annealing. - Xun Liu, Hossein Rastgoftar:
Conservation-Based Modeling and Boundary Control of Congestion with an Application to Traffic Management in Center City Philadelphia. - Torsten Hoefler, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, Alexandra Peste:
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks. - Akash Kumar, C. Seshadhri, Andrew Stolman:
Random walks and forbidden minors III: poly(d/ε)-time partition oracles for minor-free graph classes. - Weiran Cai, Belgin San-Akca, Jordan Snyder, Grayson Gordon, Zeev Maoz, Raissa M. D'Souza:
Quantifying the Global Support Network for Non-State Armed Groups (NAGs). - Mohamed R. Ibrahim, James Haworth, Nicola Christie, Tao Cheng:
CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning. - Hassan Moussa:
Using Recursive KMeans and Dijkstra Algorithm to Solve CVRP. - Aref Hakimzadeh, Yanbo Xue, Peyman Setoodeh:
Interpretable Reinforcement Learning Inspired by Piaget's Theory of Cognitive Development. - Sayak Mukherjee, Veronica Adetola:
A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks. - Ruolin Wang, Zixuan Chen, Mingrui Ray Zhang, Zhaoheng Li, Zhixiu Liu, Zihan Dang, Chun Yu, Xiang 'Anthony' Chen:
Revamp: Enhancing Accessible Information Seeking Experience of Online Shopping for Blind or Low Vision Users. - Karthik Mahadevan, Maurício Sousa, Anthony Tang, Tovi Grossman:
"Grip-that-there": An Investigation of Explicit and Implicit Task Allocation Techniques for Human-Robot Collaboration. - Lewis Hammond, Alessandro Abate, Julian Gutierrez, Michael J. Wooldridge:
Multi-Agent Reinforcement Learning with Temporal Logic Specifications. - Lijun Lyu, Maria Koutraki, Martin Krickl, Besnik Fetahu:
Neural OCR Post-Hoc Correction of Historical Corpora. - Xiao Lu, Mohammad Salehi, Martin Haenggi, Ekram Hossain, Hai Jiang:
Stochastic Geometry Analysis of Spatial-Temporal Performance in Wireless Networks: A Tutorial. - Demetrios Lambropoulos, Mohammad Yousefvand, Narayan B. Mandayam:
Tale of Seven Alerts: Enhancing Wireless Emergency Alerts (WEAs) to Reduce Cellular Network Usage During Disasters. - Maia L. Jacobs, Jeffrey He, Melanie F. Pradier, Barbara D. Lam, Andrew C. Ahn, Thomas H. McCoy, Roy H. Perlis, Finale Doshi-Velez, Krzysztof Z. Gajos:
Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens. - Weijie Chen, Yilu Guo, Shicai Yang, Zhaoyang Li, Zhenxin Ma, Binbin Chen, Long Zhao, Di Xie, Shiliang Pu, Yueting Zhuang:
Box Re-Ranking: Unsupervised False Positive Suppression for Domain Adaptive Pedestrian Detection. - Pan Tan, Cuiling Fan, Cunsheng Ding, Zhengchun Zhou:
The minimum linear locality of linear codes. - Zhizhong Huang, Junping Zhang, Hongming Shan:
RoutingGAN: Routing Age Progression and Regression with Disentangled Learning. - Nathan M. White, Timothy Henry-Rodriguez:
The Harrington Yowlumne Narrative Corpus. - Zimo Zhu, Gang Chen, Xiaoping Xie:
Semi-discrete and fully discrete HDG methods for Burgers' equation. - Uddalok Sarkar, Sayan Nag, Medha Basu, Archi Banerjee, Shankha Sanyal, Ranjan Sengupta, Dipak Ghosh:
Neural Network architectures to classify emotions in Indian Classical Music. - Dan Wan, Hao Zhan:
The Controllability of Planning, Responsibility, and Security in Automatic Driving Technology. - Yi Shi, Congyi Wang, Yu Chen, Bin Wang:
Polyphone Disambiguition in Mandarin Chinese with Semi-Supervised Learning. - Gabriel Lima, Nina Grgic-Hlaca, Meeyoung Cha:
Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making. - Lei Li, Yongfeng Zhang, Li Chen:
Learning to Explain Recommendations. - Musthaq Ahamed, P. D. S. H. Gunawardane, Nimali T. Medagedara:
Spatiotemporal Ground Reaction Force Analysis using Convolutional Neural Networks to Analyze Parkinsonian Gait. - Scott H. Hawley, Andrew C. Morrison:
ConvNets for Counting: Object Detection of Transient Phenomena in Steelpan Drums. - Meimei Shang, Fei Gao, Xiang Li, Jingjie Zhu, Lingna Dai:
Bridging Unpaired Facial Photos And Sketches By Line-drawings. - Geonho Han, Sucheol Kim, Junil Choi:
Multi-Vehicle Velocity Estimation Using IEEE 802.11ad Waveform. - Sameer Sundrani, James Lu:
Computing the Hazard Ratios Associated with Explanatory Variables Using Machine Learning Models of Survival Data. - Hoang-Dung Bui, Hung Manh La:
Control and Navigation Framework for a Hybrid Steel Bridge Inspection Robot. - Zhen Wang, Guopeng Zhang, Qiu Wang, Kezhi Wang, Kun Yang:
Completion Time Minimization in Wireless-Powered UAV-Assisted Data Collection System (Full Version). - Elie F. Kfoury, Jorge Crichigno, Elias Bou-Harb:
An Exhaustive Survey on P4 Programmable Data Plane Switches: Taxonomy, Applications, Challenges, and Future Trends. - Jiangpeng He, Runyu Mao, Zeman Shao, Janine L. Wright, Deborah A. Kerr, Carol J. Boushey, Fengqing Zhu:
An End-to-End Food Image Analysis System. - Xianzhi Zhang, Yipeng Zhou, Di Wu, Miao Hu, James Xi Zheng, Min Chen, Song Guo:
Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach. - Raj Chaganti, Deepti Gupta, Naga Vemprala:
Intelligent Network Layer for Cyber-Physical Systems Security. - Shu Zhao, Dayan Wu, Yucan Zhou, Bo Li, Weiping Wang:
Rescuing Deep Hashing from Dead Bits Problem. - Eadom Dessalene, Chinmaya Devaraj, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos:
Forecasting Action through Contact Representations from First Person Video. - Helong Zhou, Liangchen Song, Jiajie Chen, Ye Zhou, Guoli Wang, Junsong Yuan, Qian Zhang:
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective. - Zhicheng Liang, Deborah L. McGuinness:
Commonsense Knowledge Mining from Term Definitions. - Lin Zhao, Changsheng Chen, Jiwu Huang:
Deep Learning-based Forgery Attack on Document Images. - Shun Zhang, Benfei Duan, Zhili Chen, Hong Zhong:
Regionalized location obfuscation mechanism with personalized privacy levels. - Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan:
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. - Pedro H. J. Nardelli, Majid Hussein, Arun Narayanan, Yongheng Yang:
Virtual Microgrid Management via Software-defined Energy Network for Electricity Sharing. - Yaguan Qian, Qiqi Shao, Tengteng Yao, Bin Wang, Shaoning Zeng, Zhaoquan Gu, Wassim Swaileh:
Towards Speeding up Adversarial Training in Latent Spaces. - Wanchun Liu, Xin Zang, Branka Vucetic, Yonghui Li:
Over-the-Air Computation with Spatial-and-Temporal Correlated Signals. - Ning Zhang, Weina Wang, Lele Wang:
Attributed Graph Alignment. - Fengzhen Tang, Haifeng Feng, Peter Tiño, Bailu Si, Daxiong Ji:
Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices. - Lei Yu, Venkat Anantharam, Jun Chen:
Graphs of Joint Types, Noninteractive Simulation, and Stronger Hypercontractivity. - Zhenqi Fu, Xueyang Fu, Yue Huang, Xinghao Ding:
Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement. - Jayam Patel, Tyagaraja Ramaswamy, Zhi Li, Carlo Pinciroli:
Direct and Indirect Communication in Multi-Human Multi-Robot Interaction. - Xiaodong Mei, Yuxiang Sun, Yuying Chen, Congcong Liu, Ming Liu:
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars. - Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding:
Underwater Image Enhancement via Learning Water Type Desensitized Representations. - Hang Gao, Mengting Hu, Renhong Cheng, Tiegang Gao:
Hierarchical Ranking for Answer Selection. - Shida Lei, Nan Lu, Gang Niu, Issei Sato, Masashi Sugiyama:
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification. - Sidun Fang, Chenxu Wang, Yashen Lin, Changhong Zhao:
Optimizing Power-Water-Heat Flows via Decomposed Iterative Convex Approximation. - Rushuang Xu, MyeongAh Cho, Sangyoun Lee:
A NIR-to-VIS face recognition via part adaptive and relation attention module. - Yuxuan Liu, Yixuan Yuan, Ming Liu:
Ground-aware Monocular 3D Object Detection for Autonomous Driving. - Masato Tanaka, Tomomi Matsui:
New Formulation for Coloring Circle Graphs and its Application to Capacitated Stowage Stack Minimization. - Selim Furkan Tekin, Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban, Suleyman Serdar Kozat:
Spatio-temporal Weather Forecasting and Attention Mechanism on Convolutional LSTMs. - Milad Sefidgaran, Aslan Tchamkerten:
Zero-Error Sum Modulo Two with a Common Observation. - Kevin Maik Jablonka, Fergus Mcilwaine, Susana Garcia, Berend Smit, Brian Yoo:
A reproducibility study of "Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space". - Casper Schröder, Adriaan van der Feltz, Annibale Panichella, Maurício Finavaro Aniche:
Search-Based Software Re-Modularization: A Case Study at Adyen. - Vineet Gokhale, Gerardo Moyers Barrera, R. Venkatesha Prasad:
FEEL: Fast, Energy-Efficient Localization for Autonomous Indoor Vehicles. - Christophe Prud'Homme, Lorenzo Sala, Marcela Szopos:
Uncertainty propagation and sensitivity analysis: results from the Ocular Mathematical Virtual Simulator. - Nejat Arinik, Vincent Labatut, Rosa Figueiredo:
Characterizing and comparing external measures for the assessment of cluster analysis and community detection. - Amos Korman, Robin Vacus:
Stochastic Alignment Processes. - Jian Zhang, Ying Tai, Taiping Yao, Jia Meng, Shouhong Ding, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji:
Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System. - Rongjun Qin, Songyi Gao, Xingyuan Zhang, Zhen Xu, Shengkai Huang, Zewen Li, Weinan Zhang, Yang Yu:
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning. - Robert Nasdala, Daniel Potts:
A note on transformed Fourier systems for the approximation of non-periodic signals. - Daniel Neimark, Omri Bar, Maya Zohar, Dotan Asselmann:
Video Transformer Network. - Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar:
On conditional Sibson's α-Mutual Information. - Quentin Paletta, Guillaume Arbod, Joan Lasenby:
Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images - an in-depth Analysis. - Tiago D. Perez, Malik Imran, Pablo Vaz, Samuel Pagliarini:
Side-Channel Trojan Insertion - a Practical Foundry-Side Attack via ECO. - Olivier Wintenberger:
Stochastic Online Convex Optimization; Application to probabilistic time series forecasting. - Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr:
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions. - Alain Pétrowski:
Classifications based on response times for detecting early-stage Alzheimer's disease. - Gabriella Puppo, Matteo Semplice, Giuseppe Visconti:
Quinpi: integrating conservation laws with CWENO implicit methods. - Jason Z. Lin, Jelena Bradic:
Learning to Combat Noisy Labels via Classification Margins. - Elija Perrier:
Quantum Fair Machine Learning. - Felix Lucka, Mailyn Pérez-Liva, Bradley E. Treeby, Ben T. Cox:
High Resolution 3D Ultrasonic Breast Imaging by Time-Domain Full Waveform Inversion. - Takayuki Nozaki:
Distance Enumerators for Number-Theoretic Codes. - RuiTianYi Lu:
Joint Beamforming and Phase Optimization in a Multi-user Communication System Composed of Dual Reconfigurable Intelligent Surfaces. - Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin:
GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer. - N. Prabhakaran, Pudhupalayam Marimuthu Balasubramaniam, P. RanjithKumar, S. Sheik Mohammed:
A Novel Collision Detection and Avoidance system for Midvehicle using Offset-based Curvilinear Motion. - Rahul Kumar, Sandeep Mathias, Sriparna Saha, Pushpak Bhattacharyya:
Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays. - Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Christoph Kolbitsch:
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction. - Akrati Saxena, George Fletcher, Mykola Pechenizkiy:
NodeSim: Node Similarity based Network Embedding for Diverse Link Prediction. - Ana Cristina Franco da Silva, Stefan Wagner, Eddie Lazebnik, Eyal Traitel:
Using a Cyber Digital Twin for Continuous Automotive Security Requirements Verification. - Pu Sun, Yuezun Li, Honggang Qi, Siwei Lyu:
Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction. - Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert:
Few-shot Image Classification with Multi-Facet Prototypes. - Roee Zamir, Shai Bagon, David Samocha, Yael Yagil, Ronen Basri, Miri Sklair-Levy, Meirav Galun:
Segmenting Microcalcifications in Mammograms and its Applications. - Inioluwa Deborah Raji, Genevieve Fried:
About Face: A Survey of Facial Recognition Evaluation. - Chi Jin, Qinghua Liu, Sobhan Miryoosefi:
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms. - Mingxi Cheng, Shahin Nazarian, Paul Bogdan:
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text. - Xiaowen Shan, Yangyang Shi, Xuhui Li:
A multiple-relaxation-time collision model by Hermite expansion. - Frank Hannig, Paolo Meloni, Matteo Spallanzani, Matthias Ziegler:
Proceedings of the DATE Friday Workshop on System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA 2021). - Lya Hulliyyatus Suadaa, Hidetaka Kamigaito, Manabu Okumura, Hiroya Takamura:
Metric-Type Identification for Multi-Level Header Numerical Tables in Scientific Papers. - Ali Mousavi, Mehrdad Jalali, Mahdi Yaghoubi:
Adaptive Neuro Fuzzy Networks based on Quantum Subtractive Clustering. - Haokun Li, Bican Xia, Huiying Zhang, Tao Zheng:
Choosing the Variable Ordering for Cylindrical Algebraic Decomposition via Exploiting Chordal Structure. - Nikunj Gupta, G. Srinivasaraghavan, Swarup Kumar Mohalik, Matthew E. Taylor:
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging. - Kaibo Cao, Chunyang Chen, Sebastian Baltes, Christoph Treude, Xiang Chen:
Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow. - Albert Weichselbraun, Jakob Steixner, Adrian M. P. Brasoveanu, Arno Scharl, Max C. Göbel, Lyndon J. B. Nixon:
Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications. - Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo:
Semantic Grouping Network for Video Captioning. - Koen Holtman:
Counterfactual Planning in AGI Systems. - (Withdrawn) Implicit Feedback-based Group Recommender System for Internet of Thing Applications.
- Darius Roman, Saurabh Saxena, Valentin Robu, Michael G. Pecht, David Flynn:
Machine learning pipeline for battery state of health estimation. - Shufan Jiang, Rafael Angarita, Stephane Cormier, Francis Rousseaux:
Fine-tuning BERT-based models for Plant Health Bulletin Classification. - Anirudh Paranjothi, Mohammed Atiquzzaman, Mohammad S. Khan:
F-RouND: Fog-based Rogue Nodes Detection in Vehicular Ad hoc Networks. - Alexander Sagel, Julian Wörmann, Hao Shen:
Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces. - Dibakar Das:
Agent Based Virus Model using NetLogo: Infection Propagation, Precaution, Recovery, Multi-site Mobility and (Un)Lockdown. - Takashi Oya, Shigeo Morishima:
LSTM-SAKT: LSTM-Encoded SAKT-like Transformer for Knowledge Tracing. - Carter Blum, Hao Liu, Hui Xiong:
CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation. - Sanja Scepanovic, Sagar Joglekar, Stephen Law, Daniele Quercia:
Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite Data. - Muhammad Umer Gurchani:
Crawling political communities in Twitter and extracting political affiliations. - Chenpeng Du, Kai Yu:
Mixture Density Network for Phone-Level Prosody Modelling in Speech Synthesis. - Annunziato Siviglia, Davide Vanzo, Eleuterio F. Toro:
A splitting scheme for the coupled Saint-Venant-Exner model. - Ilona M. Kulikovskikh, Tarzan Legovic:
Painless step size adaptation for SGD. - Nicolas Vercheval, Aleksandra Pizurica:
Hierarchical Variational Autoencoder for Visual Counterfactuals. - Chuyu Xiong:
Sampling and Complexity of Partition Function. - Guilhem Lacombe, Kseniia Masalygina, Anass Tahiri, Carole Adam, Cédric Lauradoux:
Can You Accept LaTeX Files from Strangers? Ten Years Later. - Shunsuke Kurima:
Time discretization of a nonlocal phase-field system with inertial term. - Cinjon Resnick, Or Litany, Cosmas Heiß, Hugo Larochelle, Joan Bruna, Kyunghyun Cho:
Self-Supervised Equivariant Scene Synthesis from Video. - Ilaria Castellani, Mariangiola Dezani-Ciancaglini, Paola Giannini:
Global types and event structure semantics for asynchronous multiparty sessions. - Clementa Alonso-González, Miguel Ángel Navarro-Pérez:
Cyclic Orbit Flag Codes. - Henk Grent, Aleksei Akimov, Maurício Finavaro Aniche:
Automatically Identifying Parameter Constraints in Complex Web APIs: A Case Study at Adyen. - Qin Wang, Rujia Li:
A Weak Consensus Algorithm and Its Application to High-Performance Blockchain. - Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren:
Scaling Federated Learning for Fine-tuning of Large Language Models. - Nathanaël Fijalkow, Guillaume Lagarde:
The Complexity of Learning Linear Temporal Formulas from Examples. - Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä:
A Probabilistic Taylor Expansion with Applications in Filtering and Differential Equations. - Namid Stillman, Igor Balaz, Michail-Antisthenis I. Tsompanas, Marina Kovacevic, Sepinoud Azimi, Sébastien Lafond, Andrew Adamatzky, Sabine Hauert:
Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment. - Thorsten Wittkopp, Alexander Acker:
Decentralized Federated Learning Preserves Model and Data Privacy. - Gülsen Eryigit, Ali Sentas, Johanna Monti:
Gamified Crowdsourcing for Idiom Corpora Construction. - Eduardo Gallo:
Stochastic High Fidelity Simulation and Scenarios for Testing of Fixed Wing Autonomous GNSS-Denied Navigation Algorithms. - Sina Hajimiri, Aryo Lotfi, Mahdieh Soleymani Baghshah:
Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE. - Nora Kassner, Philipp Dufter, Hinrich Schütze:
Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models. - Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
DRLDO: A novel DRL based De-ObfuscationSystem for Defense against Metamorphic Malware. - Michael Weiss, Paolo Tonella:
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring. - Augusto Camargo, Wesley Carvalho, Felipe Peressim:
Text-to-hashtag Generation using Seq2seq Learning. - Benno van den Berg, Martijn den Besten:
Quadratic type checking for objective type theory. - Sean-Kelly Palicki, Shereen Fouad, Mariam Adedoyin-Olowe, Zahraa S. Abdallah:
Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets. - Tommy Leung, L. Nathan Perkins:
Counting Protests in News Articles: A Dataset and Semi-Automated Data Collection Pipeline. - Alireza Bahramali, Milad Nasr, Amir Houmansadr, Dennis Goeckel, Don Towsley:
Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems. - Alexander Schlögl, Tobias Kupek, Rainer Böhme:
Forensicability of Deep Neural Network Inference Pipelines. - Yida Xin, Henry Lieberman, Peter Chin:
Revisiting the Prepositional-Phrase Attachment Problem Using Explicit Commonsense Knowledge. - Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire:
On Secure Distributed Linearly Separable Computation. - Abdel-Nasser Sharkawy:
Human-Robot Interaction: Applications. - Gergely Neu:
Information-Theoretic Generalization Bounds for Stochastic Gradient Descent. - Bernhard Klein, Christoph Gratl, Manfred Mücke, Holger Fröning:
Understanding Cache Boundness of ML Operators on ARM Processors. - Alberto Bernacchia:
Meta-learning with negative learning rates. - Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization. - L. Beirão da Veiga, Franco Dassi, Gianmarco Manzini, Lorenzo Mascotto:
Virtual elements for Maxwell's equations. - Oana-Iuliana Popescu, Maha Shadaydeh, Joachim Denzler:
Counterfactual Generation with Knockoffs. - Yong Zhang, Mao Ye, Lin Guan:
QoS-aware Link Scheduling Strategy for Data Transmission in SDVN. - Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion:
Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search. - Jan Glaubitz, Anne Gelb:
Stabilizing Radial Basis Function Methods for Conservation Laws Using Weakly Enforced Boundary Conditions. - Saeed H. Alsamhi, Brian Lee, Mohsen Guizani, Neeraj Kumar, Yuansong Qiao, Xuan Liu:
Blockchain for Decentralized Multi-Drone to Combat COVID-19. - Suryanarayana Sankagiri, Shreyas Gandlur, Bruce E. Hajek:
The Longest-Chain Protocol Under Random Delays. - Yan Wang, Shangde Gao, Wenyu Gao:
Can Predominant Credible Information Suppress Misinformation in Crises? Empirical Studies of Tweets Related to Prevention Measures during COVID-19. - Paul Ryan, Harshvardhan J. Pandit, Rob Brennan:
A Common Semantic Model of the GDPR Register of Processing Activities. - Bola Abimbola:
Cloud Computing Concept and Roots. - Moritz Wiese, Holger Boche:
Mosaics of combinatorial designs for information-theoretic security. - Johan Wästlund:
Faulty picture-hanging improved. - Aitzol Elu, Gorka Azkune, Oier Lopez de Lacalle, Ignacio Arganda-Carreras, Aitor Soroa, Eneko Agirre:
Inferring spatial relations from textual descriptions of images. - Ahmed N. Al-Quzweeni, Ahmed Q. Lawey, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Optimized Energy Efficient Virtualization and Content Caching in 5G Networks. - William A. Dawson, Ruben Glatt, Edward Rusu, Braden C. Soper, Ryan A. Goldhahn:
Hybrid Information-driven Multi-agent Reinforcement Learning. - Craig Poulin, Michael B. Kane:
Infrastructure Resilience Curves: Performance Measures and Summary Metrics. - Yifeng Li, Hsu Kiang Ooi, Alain B. Tchagang:
Deep Evolutionary Learning for Molecular Design. - Stefanos Tsimenidis:
Evolutionary Algorithms for Fuzzy Cognitive Maps. - Valentin Pelloin, Nathalie Camelin, Antoine Laurent, Renato De Mori, Antoine Caubrière, Yannick Estève, Sylvain Meignier:
End2End Acoustic to Semantic Transduction. - Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg:
Measuring and Improving Consistency in Pretrained Language Models. - Leonardo Solanilla, Erick S. Barreto, Viviana Morales:
A Brief Account of Klein's Icosahedral Extensions. - Carlos Pedroso, Yan Uehara de Moraes, Michele Nogueira, Aldri Santos:
Relational Consensus-Based Cooperative Task Allocation Management for IIoT-Health Networks. - Felix Gonda, Donglai Wei, Hanspeter Pfister:
Consistent Recurrent Neural Networks for 3D Neuron Segmentation. - Chenglong Wang, Yu Feng, Rastislav Bodík, Isil Dillig, Alvin Cheung, Amy J. Ko:
Falx: Synthesis-Powered Visualization Authoring. - Guillermo Carbajal, Patricia Vitoria, Mauricio Delbracio, Pablo Musé, José Lezama:
Single Image Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition. - Filippo Andrea Fanni, Fabio Pellacini, Riccardo Scateni, Andrea Giachetti:
PAVEL: Decorative Patterns with Packed Volumetric Elements. - Tilsa Aryeni, Quanling Deng, Victor Ginting:
On the Application of Stable Generalized Finite Element Method for Quasilinear Elliptic Two-Point BVP. - Svea Wisy:
Simple Trust Metric in a Low-Power Sensor Network. - Tadeusz Kobus, Maciej Kokocinski, Pawel T. Wojciechowski:
Jiffy: A Lock-free Skip List with Batch Updates and Snapshots. - Liyu Chen, Haipeng Luo, Chen-Yu Wei:
Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications. - John Liagouris, Vasiliki Kalavri, Muhammad Faisal, Mayank Varia:
Secrecy: Secure collaborative analytics on secret-shared data. - Sai Muralidhar Jayanthi, Akshat Gupta:
SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification. - Makayla Moster, Denae Ford, Paige Rodeghero:
"Is My Mic On?" Preparing SE Students for Collaborative Remote Work and Hybrid Team Communication. - Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin:
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition. - Nelson F. Liu, Tony Lee, Robin Jia, Percy Liang:
Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches. - Achal Dave, Piotr Dollár, Deva Ramanan, Alexander Kirillov, Ross B. Girshick:
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details. - Pramod C. Mane, Nagarajan Krishnamurthy, Kapil Ahuja:
Resource Availability in the Social Cloud: An Economics Perspective. - Scott Freitas, Rahul Duggal, Duen Horng Chau:
MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software. - Ghassan Samara:
Wireless Sensor Network MAC Energy - efficiency Protocols: A Survey. - Iuliana Marin, Ioana-Andreea Dinescu, Teodora-Coralia Deleanu, Lujain Alshikh Sulaiman, Sarmad Monadel Sabree Al-Gayar, Nicolae Goga:
Brain Performance Analysis based on an Electroencephalogram Headset. - Michael Chary, Ed W. Boyer, Michele M. Burns:
Diagnosis of Acute Poisoning Using Explainable Artificial Intelligence. - Idan Amir, Tomer Koren, Roi Livni:
SGD Generalizes Better Than GD (And Regularization Doesn't Help). - Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri:
RectiNet-v2: A stacked network architecture for document image dewarping. - Sukanya Pandey, Vibha Sahlot:
Role Coloring Bipartite Graphs. - Mohammad Moltafet, Markus Leinonen, Marian Codreanu:
Moment Generating Function of the AoI in Multi-Source Systems with Computation-Intensive Status Updates. - Shenhao Wang, Baichuan Mo, Stephane Hess, Jinhua Zhao:
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark. - Shlomo Dubnov:
Deep Music Information Dynamics. - K. M. Arefeen Sultan, Mohammad Imrul Jubair, Md. Nahidul Islam, Sayed Hossain Khan:
toon2real: Translating Cartoon Images to Realistic Images. - Kai Zhang, Siddharth Karanth, Bela Patel, Robert Murphy, Xiaoqian Jiang:
Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network. - Marzia Antenore, Jose M. Camacho-Rodriguez, Emanuele Panizzi:
A comparative study of Bot Detection techniques methods with an application related to Covid-19 discourse on Twitter. - Lisa Hellerstein, Devorah Kletenik, Srinivasan Parthasarathy:
A Tight Bound for Stochastic Submodular Cover. - Despina Christou, Grigorios Tsoumakas:
Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings. - Mohammad Hesam Soleimani-Babakamali, Reza Sepasdar, Kourosh Nasrollahzadeh, Rodrigo Sarlo:
System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring. - Elyes Balti, Neji Mensi, Danda B. Rawat:
Temporal CSI Correlation in Mixed RF/FSO Cooperative Relaying Systems Under Joint Effects of HPA Nonlinearities and IQ Imbalance. - Keyang Zhou, Bharat Lal Bhatnagar, Bernt Schiele, Gerard Pons-Moll:
Adjoint Rigid Transform Network: Self-supervised Alignment of 3D Shapes. - Hakima Bessaih, Annie Millet:
Strong rates of convergence of space-time discretization schemes for the 2D Navier-Stokes equations with additive noise. - Kaiping Chen, Sang Jung Kim, Sebastian Raschka, Qiantong Gao:
Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness. - Amirreza Mousavi, Kiarash Aryankia, Rastko R. Selmic:
Cyber-Attack Detection in Discrete Nonlinear Multi-Agent Systems Using Neural Networks. - Karl Crary:
Verifying the Hashgraph Consensus Algorithm. - Xin Chen, Guannan Qu, Yujie Tang, Steven H. Low, Na Li:
Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision. - Hasan K. Naji, Iuliana Marin, Nicolae Goga, Cristian Taslitchi:
Novel Design and Implementation of a Vehicle Controlling and Tracking System. - Tony Zhao, Irving Fang, Jeffrey Kim, Gerald Friedland:
Multi-modal Ensemble Models for Predicting Video Memorability. - Mine Gokce Dogan, Yahya H. Ezzeldin, Christina Fragouli:
On optimal relay placement in directional networks. - Junchuan Fan, Kathleen Stewart:
Understanding collective human movement dynamics during large-scale events using big geosocial data analytics. - Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing:
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation. - Youzhi Luo, Keqiang Yan, Shuiwang Ji:
GraphDF: A Discrete Flow Model for Molecular Graph Generation. - Xing Su, Yan Kong, Weihua Li:
The 4th International Workshop on Smart Simulation and Modelling for Complex Systems. - Mariia Gladkova, Rui Wang, Niclas Zeller, Daniel Cremers:
Tight Integration of Feature-Based Relocalization in Monocular Direct Visual Odometry. - Kushal Lakhotia, Evgeny Kharitonov, Wei-Ning Hsu, Yossi Adi, Adam Polyak, Benjamin Bolte, Tu Anh Nguyen, Jade Copet, Alexei Baevski, Adelrahman Mohamed, Emmanuel Dupoux:
Generative Spoken Language Modeling from Raw Audio. - Opeyemi O. Ajibola, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Disaggregation for Energy Efficient Fog in Future 6G Networks. - Hao Fei Cheng, Logan Stapleton, Ruiqi Wang, Paige Bullock, Alexandra Chouldechova, Zhiwei Steven Wu, Haiyi Zhu:
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems. - Rami Ezzine, Moritz Wiese, Christian Deppe, Holger Boche:
Common Randomness Generation over Slow Fading Channels. - Wafa Labidi, Holger Boche, Christian Deppe, Moritz Wiese:
Identification over the Gaussian Channel in the Presence of Feedback. - Gabriel Arpino, Nicolò Grometto, Afonso S. Bandeira:
Group Testing in the High Dilution Regime. - Shahla U. Umar, Tarik A. Rashid:
Critical Analysis: Bat Algorithm based Investigation and Application on Several Domains. - A. Feder Cooper, Ellen Abrams:
Emergent Unfairness: Normative Assumptions and Contradictions in Algorithmic Fairness-Accuracy Trade-Off Research. - Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel:
Fast Training of Provably Robust Neural Networks by SingleProp. - Stefano Arrigoni, Francesco Braghin, Federico Cheli:
MPC path-planner for autonomous driving solved by genetic algorithm technique. - Bashar Tahir, Stefan Schwarz, Markus Rupp:
Outage Analysis of Uplink IRS-Assisted NOMA under Elements Splitting. - Hamed Montazer Zohour, Bruno Belzile, David St-Onge:
Kinova Gen3-Lite manipulator inverse kinematics: optimal polynomial solution. - Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit P. Sheth:
"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. - Melika Behjati, James Henderson:
Inducing Meaningful Units from Character Sequences with Slot Attention. - Dian Yu, Kai Sun, Dong Yu, Claire Cardie:
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question Answering Data. - Haseeb Ur Rehman, Faouzi Bellili, Amine Mezghani, Ekram Hossain:
Joint Active and Passive Beamforming for IRS-Assisted Multi-User MIMO Systems: A VAMP Approach. - Vahideh H. Manshadi, Rad Niazadeh, Scott Rodilitz:
Fair Dynamic Rationing. - Dalia Popescu, Philippe Jacquet, Bernard Mans, Bartlomiej Blaszczyszyn:
Characterizing the Energy Trade-Offs of End-to-End Vehicular Communications using an Hyperfractal Urban Modelling. - Adam W. Strzebonski:
Computing Limits of Quotients of Multivariate Real Analytic Functions. - Yuan Gong, Yu-An Chung, James R. Glass:
PSLA: Improving Audio Event Classification with Pretraining, Sampling, Labeling, and Aggregation. - Xie Lu, Xiaoguang Wang, Xiaoyang Gu:
New Recruiter and Jobs: The Largest Enterprise Data Migration at LinkedIn. - Oliver Kosut, Michelle Effros, Michael Langberg:
Every Bit Counts: Second-Order Analysis of Cooperation in the Multiple-Access Channel. - Runhua Xu, Chao Li, James Joshi:
T3AB: Transparent and Trustworthy Third-party Authority using Blockchain. - Bogdan S. Chlebus, Dariusz R. Kowalski, Jan Olkowski, Jedrzej Olkowski:
Consensus in Networks Prone to Link Failures. - (Withdrawn) Customizing Graph500 for Tianhe Pre-exacale system.
- Stanislava Soro:
TinyML for Ubiquitous Edge AI. - Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, Lei He:
Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation. - Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon:
Local Differential Privacy Is Equivalent to Contraction of Eγ-Divergence. - Xiong Liu, Craig E. Thomas, Christian C. Felder:
The impact of external innovation on new drug approvals: A retrospective analysis. - Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi:
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. - Andrew Slavin Ross, Nina Chen, Elisa Zhao Hang, Elena L. Glassman, Finale Doshi-Velez:
Evaluating the Interpretability of Generative Models by Interactive Reconstruction. - Alan Chan, Chinasa T. Okolo, Zachary Terner, Angelina Wang:
The Limits of Global Inclusion in AI Development. - Huanyi Chen, Paul A. S. Ward:
Predicting student performance using data from an auto-grading system. - Bo Zhang, Di Xiao, Lan Wang, Sen Bai, Lei Yang:
Efficient Compressed Sensing Based Image Coding by Using Gray Transformation. - Matthew Butler, Leona Holloway, Samuel Reinders, Cagatay Goncu, Kim Marriott:
Technology Developments in Touch-Based Accessible Graphics: A Systematic Review of Research 2010-2020. - Xingjun Li, Yuanxin Wang, Hong Wang, Yang Wang, Jian Zhao:
NBSearch: Semantic Search and Visual Exploration of Computational Notebooks. - Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang:
Deep Online Fused Video Stabilization. - Qi Zheng, Jianfeng Dong, Xiaoye Qu, Xun Yang, Shouling Ji, Xun Wang:
Progressive Localization Networks for Language-based Moment Localization. - Peng Yao, Shuwei Shen, Mengjuan Xu, Peng Liu, Fan Zhang, Jinyu Xing, Pengfei Shao, Benjamin Kaffenberger, Ronald X. Xu:
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification. - Jenhao Hsiao, Jiawei Chen, Chiu Man Ho:
GCF-Net: Gated Clip Fusion Network for Video Action Recognition. - Fateme Nikseresht, Runze Yan, Rachel Lew, Yingzheng Liu, Rose M. Sebastian, Afsaneh Doryab:
Detection of Racial Bias from Physiological Responses. - Danny Hernandez, Jared Kaplan, Tom Henighan, Sam McCandlish:
Scaling Laws for Transfer. - Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation. - Pedro J. Rivera Torres, Carlos Gershenson García, Samir Kanaan-Izquierdo:
Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices. - Yijun Cao, Chuan Lin, Yong-Jie Li:
Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss. - Miki Tanaka, Hitoshi Kiya:
Fake-image detection with Robust Hashing. - Jusang Lee, Minyoung Chung, Minkyung Lee, Yeong-Gil Shin:
Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement. - Raula Gaikovina Kula, Hideaki Hata, Kenichi Matsumoto:
FLOSS != GitHub: A Case Study of Linux/BSD Perceptions from Microsoft's Acquisition of GitHub. - Nizar Khalfet, Ioannis Krikidis:
Information Energy Capacity Region for SWIPT Systems over Raylegh-Fading Channels. - Aoyu Wu, Yun Wang, Xinhuan Shu, Dominik Moritz, Weiwei Cui, Haidong Zhang, Dongmei Zhang, Huamin Qu:
Survey on Artificial Intelligence Approaches for Visualization Data. - Longyuan Li, Junchi Yan, Haiyang Wang, Yaohui Jin:
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder. - Minghui Xu, Chun-Chi Liu, Yifei Zou, Feng Zhao, Jiguo Yu, Xiuzhen Cheng:
wChain: A Fast Fault-Tolerant Blockchain Protocol for Multihop Wireless Networks. - Kenton Lee, Kelvin Guu, Luheng He, Tim Dozat, Hyung Won Chung:
Neural Data Augmentation via Example Extrapolation. - Gagandeep Singh, Deepak Mishra:
pseudo-Bayesian Neural Networks for detecting Out of Distribution Inputs. - Francesco Paissan, Massimo Gottardi, Elisabetta Farella:
Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT. - Quentin Ducasse, Pascal Cotret, Loïc Lagadec, Robert Stewart:
Benchmarking Quantized Neural Networks on FPGAs with FINN. - Walther Carballo-Hernández, Maxime Pelcat, François Berry:
Why is FPGA-GPU Heterogeneity the Best Option for Embedded Deep Neural Networks? - Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla:
Bit Error Tolerance Metrics for Binarized Neural Networks. - Etienne Dupuis, David Novo, Ian O'Connor, Alberto Bosio:
Fast Exploration of Weight Sharing Opportunities for CNN Compression. - Dainius Jenkus, Fei Xia, Rishad A. Shafik, Alex Yakovlev:
QoS-Aware Power Minimization of Distributed Many-Core Servers using Transfer Q-Learning. - Cristina Chesta, Luca Rinelli:
Modular approach to data preprocessing in ALOHA and application to a smart industry use case. - Chen Cai, Dingkang Wang, Yusu Wang:
Graph Coarsening with Neural Networks. - Olivia Weng, Alireza Khodamoradi, Ryan Kastner:
Hardware-efficient Residual Networks for FPGAs. - Zhongqiang Ren, Sivakumar Rathinam, Howie Choset:
Subdimensional Expansion for Multi-objective Multi-agent Path Finding. - Andrew Lensen:
Mining Feature Relationships in Data. - Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen, Qian Wang:
Recent Advances in Adversarial Training for Adversarial Robustness. - Chajin Shin, Taeoh Kim, Sangjin Lee, Sangyoun Lee:
Test-Time Adaptation for Out-of-distributed Image Inpainting. - Sonja Kraiczy, Ágnes Cseh, David F. Manlove:
On absolutely and simply popular rankings. - Ismail Arai, Ahmed Elnoshokaty, Samy El-Tawab:
Leveraging IoT and Weather Conditions to Estimate the Riders Waiting for the Bus Transit on Campus. - Jessica Van Brummelen, Viktoriya Tabunshchyk, Tommy Heng:
"Alexa, Can I Program You?": Student Perceptions of Conversational Artificial Intelligence Before and After Programming Alexa. - Xin Huang, Xue-Lei Lin, Michael K. Ng, Hai-Wei Sun:
Spectral analysis for preconditioning of multi-dimensional Riesz fractional diffusion equations. - Pooja Nayak Muralidhar, Digvijay Katyal, B. Sundar Rajan:
Improved Multi-access Coded Caching Schemes from Cross Resolvable Designs. - Wenxuan Zhou, Muhao Chen:
An Improved Baseline for Sentence-level Relation Extraction. - Zhaohua Zheng, Yize Zhou, Yilong Sun, Zhang Wang, Boyi Liu, Keqiu Li:
Federated Learning in Smart Cities: A Comprehensive Survey. - Tobias Heuer, Nikolai Maas, Sebastian Schlag:
Multilevel Hypergraph Partitioning with Vertex Weights Revisited. - Dong-Keon Kim, Donghee Kim, Kwangsu Kim:
Facial Manipulation Detection Based on the Color Distribution Analysis in Edge Region. - Mario Zanon, Sébastien Gros, Michele Palladino:
Stability-Constrained Markov Decision Processes Using MPC. - Yuhan Liu, Saurabh Agarwal, Shivaram Venkataraman:
AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning. - Bjarne A. Grimstad, Mathilde Hotvedt, Anders T. Sandnes, Odd Kolbjørnsen, Lars Struen Imsland:
Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study. - Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane:
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. - Simon Scherrer, Che-Yu Wu, Yu-Hsi Chiang, Benjamin Rothenberger, Daniele Enrico Asoni, Arish Sateesan, Jo Vliegen, Nele Mentens, Hsu-Chun Hsiao, Adrian Perrig:
Low-Rate Overuse Flow Tracer (LOFT): An Efficient and Scalable Algorithm for Detecting Overuse Flows. - Alessandra Toniato, Philippe Schwaller, Antonio Cardinale, Joppe Geluykens, Teodoro Laino:
Unassisted Noise Reduction of Chemical Reaction Data Sets. - Yifan Xie, Xiang Yin, Shaoyuan Li:
Optimal Synthesis of Opacity-Enforcing Supervisors for Qualitative and Quantitative Specifications. - Nayaneesh Kumar Mishra, Satish Kumar Singh:
Face Recognition Using Sf3CNN With Higher Feature Discrimination. - Ruben Tolosana, Juan-Carlos Ruiz-Garcia, Rubén Vera-Rodríguez, Jaime Herreros-Rodriguez, Sergio Romero-Tapiador, Aythami Morales, Julian Fiérrez:
Child-Computer Interaction: Recent Works, New Dataset, and Age Detection. - Blazej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis:
AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset. - Henderik Alex Proper:
Interactive Query Formulation using Point to Point Queries. - Yonatan Yehezkeally, Nikita Polyanskii:
On Codes for the Noisy Substring Channel. - Yusuf Samil Ezer:
Two Social Concepts in Virtual Communities: Trust and Reputation. - Weiheng Jiang, Yu Zhang:
Joint Transmit Precoding and Reflect Beamforming Design for IRS-Assisted MIMO Cognitive Radio Systems. - Miguel Domingo, Francisco Casacuberta:
Two Demonstrations of the Machine Translation Applications to Historical Documents. - Yang Lyu, Muqing Cao, Shenghai Yuan, Lihua Xie:
Vision Based Autonomous UAV Plane Estimation And Following for Building Inspection. - Ondrej Sokol, Vladimír Holý:
Clustering with Penalty for Joint Occurrence of Objects: Computational Aspects. - Xue Liu, Wei Wei, Xiangnan Feng, Xiaobo Cao, Dan Sun:
Graph Classification Based on Skeleton and Component Features. - Iuliana Marin, Myssar Jabbar Hammood Al-Battbootti, Nicolae Goga:
Drone Control based on Mental Commands and Facial Expressions. - Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert:
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks. - Jasper Juchem, Amélie Chevalier, Kevin Dekemele, Mia Loccufier:
First Order Plus Fractional Diffusive Delay Modeling: interconnected discrete systems. - Pierre El Mqirmi, Francesco Belardinelli, Borja G. León:
An Abstraction-based Method to Verify Multi-Agent Deep Reinforcement-Learning Behaviours. - Jingbin Huang, Fei Liu, Florian Richter, Michael C. Yip:
Model-Predictive Control of Blood Suction for Surgical Hemostasis using Differentiable Fluid Simulations. - Ruben Lapauw, Maurice Bruynooghe, Marc Denecker:
Justifications and a Reconstruction of Parity Game Solving Algorithms. - Nayaneesh Kumar Mishra, Satish Kumar Singh:
Face Recognition using 3D CNNs. - Guodong Yin, Yi Cai, Juejian Wu, Zhengyang Duan, Zhenhua Zhu, Yongpan Liu, Yu Wang, Huazhong Yang, Xueqing Li:
Enabling Lower-Power Charge-Domain Nonvolatile In-Memory Computing with Ferroelectric FETs. - Shu-Jie Cao, Lihui Yi, Haoning Chen, Youlong Wu:
Optimal Coding Scheme and Resource Allocation for Distributed Computation with Limited Resources. - Adrian Ebert, Friedrich Pillichshammer:
Tractability of approximation in the weighted Korobov space in the worst-case setting - a complete picture. - Shayan Hashemi, Mika Mäntylä:
Detecting Anomalies in Software Execution Logs with Siamese Network. - Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaïd Harchaoui:
MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation. - Neo C. K. Yiu:
Decentralizing Supply Chain Anti-Counterfeiting Systems Using Blockchain Technology. - Luigi Riso, Marco Guerzoni:
Drift Estimation with Graphical Models. - Alessandro Saviolo, Matteo Bonotto, Daniele Evangelista, Marco Imperoli, Emanuele Menegatti, Alberto Pretto:
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks. - Yinbo Yu, Jiajia Liu:
TAPInspector: Safety and Liveness Verification of Concurrent Trigger-Action IoT Systems. - Carsten Schneider:
Term Algebras, Canonical Representations and Difference Ring Theory for Symbolic Summation. - Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen:
Differentially Private Demand Side Management for Incentivized Dynamic Pricing in Smart Grid. - Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen:
VPT: Privacy Preserving Energy Trading and Block Mining Mechanism for Blockchain based Virtual Power Plants. - Jialin Hong, Derui Sheng, Tau Zhou:
A splitting semi-implicit method for stochastic incompressible Euler equations on T2. - Cheng Ma, Jiwen Lu, Jie Zhou:
Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search. - Xinwei Fang, Radu Calinescu, Simos Gerasimou, Faisal Alhwikem:
Fast Parametric Model Checking through Model Fragmentation. - Salman Khalid, Waqas Bin Abbas, Farhan Khalid:
Deep Learning based Joint Precoder Design and Antenna Selection for Partially Connected Hybrid Massive MIMO Systems. - Hamed Jalali, Martin Pawelczyk, Gjergji Kasneci:
Gaussian Experts Selection using Graphical Models. - Muhammad N. Fakhruzzaman, Saidah Z. Jannah, Ratih A. Ningrum, Indah Fahmiyah:
Clickbait Headline Detection in Indonesian News Sites using Multilingual Bidirectional Encoder Representations from Transformers (M-BERT). - Andrei Vasilateanu, Nicolae Goga, Elena-Alice Tanase, Iuliana Marin:
Enterprise domain ontology learning from web-based corpus. - Satyapriya Krishna, Rahul Gupta, Christophe Dupuy:
ADePT: Auto-encoder based Differentially Private Text Transformation. - Mohammed ElKomy:
A Survey On (Stochastic Fractal Search) Algorithm. - Yangde Wang, Weidong Qiu, Yuming Xie, Yan Zha:
PatternMonitor: a whole pipeline with a much higher level of automation for guessing Android lock pattern based on videos. - Vladimir Sidorenko, Wenhui Li, Onur Günlü, Gerhard Kramer:
On Skew Convolutional and Trellis Codes. - Emre Demir, Ahmet Gökçen, Yakup Kutlu:
Android Controlled Mobile Robot Design with IP Camera. - Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro:
Metrics and continuity in reinforcement learning. - V. Priya, I. Sumaiya Thaseen, Thippa Reddy Gadekallu, Mohamed K. Aboudaif, Emad S. Abouel Nasr:
Robust Attack Detection Approach for IIoT Using Ensemble Classifier. - Lakshmi Prasad Natarajan, Smiju Kodamthuruthil Joy:
Permute & Add Network Codes via Group Algebras. - Yalan Qin, Guorui Feng, Hanzhou Wu, Yanli Ren, Xinpeng Zhang:
Orientation Convolutional Networks for Image Recognition. - Arman Sharififar, Parastoo Sadeghi, Neda Aboutorab:
Broadcast Rate Requires Nonlinear Coding in a Unicast Index Coding Instance of Size 36. - Yuanpeng He:
A new distance measure of Pythagorean fuzzy sets based on matrix and and its application in medical diagnosis. - Demian Hespe, Sebastian Lamm, Christian Schorr:
Targeted Branching for the Maximum Independent Set Problem. - Tatiana Brailovskaya, Miklós Z. Rácz:
Tree trace reconstruction using subtraces. - Binbin Zhang, Di Wu, Chao Yang, Xiaoyu Chen, Zhendong Peng, Xiangming Wang, Zhuoyuan Yao, Xiong Wang, Fan Yu, Lei Xie, Xin Lei:
WeNet: Production First and Production Ready End-to-End Speech Recognition Toolkit. - Andre Potenza, Andrey Kiselev, Alessandro Saffiotti, Amy Loutfi:
An Open-Source Modular Robotic System for Telepresence and Remote Disinfection. - Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai:
Occluded Video Instance Segmentation. - Shuo Huang, Zhuang Li, Lizhen Qu, Lei Pan:
On Robustness of Neural Semantic Parsers. - Richard Hawkins, Colin Paterson, Chiara Picardi, Yan Jia, Radu Calinescu, Ibrahim Habli:
Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS). - Luis J. Muñoz-Molina, Ignacio Cazorla-Piñar, Juan Pedro Dominguez-Morales, Fernando Perez-Peña:
Real-time detection of uncalibrated sensors using Neural Networks. - Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants. - Sitan Chen, Zhao Song, Runzhou Tao, Ruizhe Zhang:
Symmetric Boolean Factor Analysis with Applications to InstaHide. - Rahman Salim Zengin, Volkan Sezer:
Super-klust: Another Way of Piecewise Linear Classification. - James Scott Broadhead, Przemyslaw Pawelczak:
Data Freshness in Mixed-Memory Intermittently-Powered Systems. - Marco Gaido, Mauro Cettolo, Matteo Negri, Marco Turchi:
CTC-based Compression for Direct Speech Translation. - Xiangyu Xu, Yongrui Ma, Wenxiu Sun, Ming-Hsuan Yang:
Exploiting Raw Images for Real-Scene Super-Resolution. - Daniel Zhengyu Huang, Tapio Schneider, Andrew M. Stuart:
Unscented Kalman Inversion. - Mats L. Richter, Wolf Byttner, Ulf Krumnack, Ludwig Schallner, Justin Shenk:
Size Matters. - Blake E. Woodworth, Brian Bullins, Ohad Shamir, Nathan Srebro:
The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication. - Kai Cui, Heinz Koeppl:
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. - Mohammad H. Jafari, Christina Luong, Michael Y. Tsang, Ang Nan Gu, Nathan Van Woudenberg, Robert Rohling, Teresa Tsang, Purang Abolmaesumi:
U-LanD: Uncertainty-Driven Video Landmark Detection. - Michael Khayyat, Stefano Arrigoni, Federico Cheli:
Development and Simulation-based Testing of a 5G-Connected Intersection AEB System. - Amirhossein Malekijoo, Mohammad Javad Fadaeieslam, Hanieh Malekijou, Morteza Homayounfar, Farshid Alizadeh-Shabdiz, Reza Rawassizadeh:
FEDZIP: A Compression Framework for Communication-Efficient Federated Learning. - Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner:
Model-based multi-parameter mapping. - Katharina Ensinger, Friedrich Solowjow, Michael Tiemann, Sebastian Trimpe:
Symplectic Gaussian Process Dynamics. - Hrishikesh Dutta, Subir Biswas:
Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis. - David Mödinger, Jan-Hendrik Lorenz, Franz J. Hauck:
Statistical privacy preserving message dissemination for peer-to-peer networks. - Luca Venturi, Samy Jelassi, Tristan Ozuch, Joan Bruna:
Depth separation beyond radial functions. - Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis:
Strongly Adaptive OCO with Memory. - Placido Mursia, Italo Atzeni, Mari Kobayashi, David Gesbert:
D2D-Aided Multi-Antenna Multicasting under Generalized CSIT. - Sohini Roychowdhury, Ebrahim Alareqi, Wenxi Li:
OPAM: Online Purchasing-behavior Analysis using Machine learning. - Leonardo Humberto Silva, Renata Xavier Castro, Marice Costa Guimaraes:
Supporting Real Demands in Software Engineering with a Four Steps Project-Based Learning Approach. - Jirí Síma:
Stronger Separation of Analog Neuron Hierarchy by Deterministic Context-Free Languages. - Axel Målqvist, Barbara Verfürth:
An offline-online strategy for multiscale problems with random defects. - Xiao Lu, Dusit Niyato, Hai Jiang, Ekram Hossain, Ping Wang:
Ambient Backscatter-Assisted Wireless-Powered Relaying. - Pramit Saha, Debasish Ray Mohapatra, Sidney S. Fels:
SPEAK WITH YOUR HANDS - Using Continuous Hand Gestures to control Articulatory Speech Synthesizer. - Henry Fielding Cappel:
A Hierarchical Multi-Robot Mapping Architecture Subject to Communication Constraints. - Xiang Zhang, Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire:
A New Design of Cache-aided Multiuser Private Information Retrieval with Uncoded Prefetching. - Jonathan Protzenko, Son Ho:
Zero-cost meta-programmed stateful functors in F. - Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search. - Steve Hanneke, Roi Livni, Shay Moran:
Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games. - Cyrille Feudjio, Victoire Djimna Noyum, Younous Perieukeu Mofendjou, Rockefeller, Ernest Fokoué:
A Novel Use of Discrete Wavelet Transform Features in the Prediction of Epileptic Seizures from EEG Data. - Roman Jurowetzki, Daniel S. Hain, Juan Mateos-Garcia, Konstantinos Stathoulopoulos:
The Privatization of AI Research(-ers): Causes and Potential Consequences - From university-industry interaction to public research brain-drain? - Jinjiang Guo, Jie Li, Dawei Leng, Lurong Pan:
Heterogeneous Graph based Deep Learning for Biomedical Network Link Prediction. - Paola Francesca Antonietti, Gianmarco Manzini, Ilario Mazzieri, Simone Scacchi, Marco Verani:
The conforming virtual element method for polyharmonic and elastodynamics problems: a review. - Nahid Esmati, Anoosheh Heidarzadeh, Alex Sprintson:
Private Linear Transformation: The Individual Privacy Case. - Nahid Esmati, Anoosheh Heidarzadeh, Alex Sprintson:
Private Linear Transformation: The Joint Privacy Case. - Kale-ab Abebe Tessera, Sara Hooker, Benjamin Rosman:
Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization. - Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath:
Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding. - Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou:
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. - Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg:
Agent Incentives: A Causal Perspective. - Hal Finkel, Ignacio Laguna:
Report of the Workshop on Program Synthesis for Scientific Computing. - Wei-Lin Hsiao, Kristen Grauman:
From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images. - Ana Lilia Alvarez-Blanco, Eugenia Cordoba-Warner, Marvin Coto-Jiménez, Vivian Fallas-Lopez, Maribel Morales Rodriguez:
Generacion de voces artificiales infantiles en castellano con acento costarricense. - Cesar R. Salas-Guerra:
Skills-based on technological knowledge in the digital economy activity. - Assane Gueye, Peter Mell:
A Historical and Statistical Studyof the Software Vulnerability Landscape. - Amir Yazdanbakhsh, Christof Angermüller, Berkin Akin, Yanqi Zhou, Albin Jones, Milad Hashemi, Kevin Swersky, Satrajit Chatterjee, Ravi Narayanaswami, James Laudon:
Apollo: Transferable Architecture Exploration. - (Withdrawn) On the Power of False Negative Awareness in Indicator-based Caching Systems.
- Reed Oei, Dun Ma, Christian Schulz, Philipp Hieronymi:
Pecan: An Automated Theorem Prover for Automatic Sequences using Büchi Automata. - Alexandra M. Porter, Mary Wootters:
On Greedy Approaches to Hierarchical Aggregation. - Selima Curci, Decebal Constantin Mocanu, Mykola Pechenizkiy:
Truly Sparse Neural Networks at Scale. - Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Chenlin Huang, Wei Song:
FedProf: Optimizing Federated Learning with Dynamic Data Profiling. - Myroslav K. Sparavalo:
Canonical Form of Lyapunov Second Method in Mathematical Modelling and Control Design. - Jacopo Marconi, Paolo Tiso, Davide E. Quadrelli, Francesco Braghin:
An enhanced parametric nonlinear reduced order model for imperfect structures using Neumann expansion. - Yili Hong, Jie Min, Caleb B. King, William Q. Meeker:
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles. - Roger Zhe Li, Julián Urbano, Alan Hanjalic:
Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users. - Vinícius da Silva, Tiago Novello, Hélio Lopes, Luiz Velho:
Real-time rendering of complex fractals. - Ming Yin, Yu Bai, Yu-Xiang Wang:
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction. - Zahra Salahshoori Nejad, Hamed Heravi, Ali Rahimpour Jounghani, Abdollah Shahrezaie, Afshin Ebrahimi:
Vehicle trajectory prediction in top-view image sequences based on deep learning method. - Shira Faigenbaum-Golovin, David Levin:
Manifold Repairing, Reconstruction and Denoising from Scattered Data in High-Dimension. - Qianqian Zhang, Aidin Ferdowsi, Walid Saad, Mehdi Bennis:
Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks. - Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev:
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. - Weiquan Fan, Xiangmin Xu, Xiaofen Xing, Weidong Chen, Dongyan Huang:
LSSED: a large-scale dataset and benchmark for speech emotion recognition. - Elizabeth Salesky, Matthew Wiesner, Jacob Bremerman, Roldano Cattoni, Matteo Negri, Marco Turchi, Douglas W. Oard, Matt Post:
The Multilingual TEDx Corpus for Speech Recognition and Translation. - Luciana Ferrer, Mitchell McLaren, Niko Brummer:
A Speaker Verification Backend with Robust Performance across Conditions. - Ali Ansari, Fatemeh Golshan, Pejman Lotfi-Kamran, Hamid Sarbazi-Azad:
MANA: Microarchitecting an Instruction Prefetcher. - Jorge Miguel Silva, Diogo Pratas, Rui Antunes, Sérgio Matos, Armando J. Pinho:
Automatic analysis of artistic paintings using information-based measures. - Brendan David-John, Diane Hosfelt, Kevin R. B. Butler, Eakta Jain:
A privacy-preserving approach to streaming eye-tracking data. - Praneeth Kumar Vippathalla, Chung Chan, Navin Kashyap, Qiaoqiao Zhou:
Secret Key Agreement and Secure Omniscience of Tree-PIN Source with Linear Wiretapper. - Chun Kai Ling, Noam Brown:
Safe Search for Stackelberg Equilibria in Extensive-Form Games. - Mauro Lucci, Daniel Severín, Paula Zabala:
A metaheuristic for crew scheduling in a pickup-and-delivery problem with time windows. - Yi-Shiou Duh, Ray Chang:
Recurrent Neural Network for MoonBoard Climbing Route Classification and Generation. - William H. Mitchell, Henry G. Bell, Yoichiro Mori, Laurel Ohm, Daniel Spirn:
A single-layer based numerical method for the slender body boundary value problem. - Atefeh Shahroudnejad:
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks. - Madi Zholbaryssov, Alejandro D. Domínguez-García:
Data-Driven Secondary Control of Distributed Energy Resources. - Ariah Klages-Mundt, Andreea Minca:
Optimal Intervention in Economic Networks using Influence Maximization Methods. - Patrick Bahr:
Proceedings 11th International Workshop on Computing with Terms and Graphs, TERMGRAPH@FSCD 2020, Online, 5th July 2020. EPTCS 334, 2021 [contents] - Sayed Amir Hoseini, Ming Ding, Mahbub Hassan, Youjia Chen:
Analyzing the Impact of Molecular Re-Radiation on the MIMO Capacity in High-Frequency Bands. - Yuval Shahar:
The Ethical Implications of Shared Medical Decision Making without Providing Adequate Computational Support to the Care Provider and to the Patient. - Muslum Ozgur Ozmen, Xuansong Li, Andrew Chun-An Chu, Z. Berkay Celik, Bardh Hoxha, Xiangyu Zhang:
Discovering Physical Interaction Vulnerabilities in IoT Deployments. - Mingke Xu, Fan Zhang, Xiaodong Cui, Wei Zhang:
Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation. - Xinqiao Zhang, Huili Chen, Farinaz Koushanfar:
TAD: Trigger Approximation based Black-box Trojan Detection for AI. - Aparna Elangovan, Jiayuan He, Karin Verspoor:
Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation. - Xinyue Kan, Thomas C. Thayer, Stefano Carpin, Konstantinos Karydis:
Task Planning on Stochastic Aisle Graphs for Precision Agriculture. - Zhewei Sun, Richard S. Zemel, Yang Xu:
A Computational Framework for Slang Generation. - Ricardo Di Pasquale, Javier Marenco:
Machine learning for improving performance in an evolutionary algorithm for minimum path with uncertain costs given by massively simulated scenarios. - Ricardo Di Pasquale, Javier Marenco:
Optimization meets Big Data: A survey. - Reyna Hulett, Shubham Chandak, Mary Wootters:
On Coding for an Abstracted Nanopore Channel for DNA Storage. - Yasufumi Taniguchi, Hiroki Nakayama, Takahiro Kubo, Jun Suzuki:
An Investigation Between Schema Linking and Text-to-SQL Performance. - Hiroki Kojima, Takashi Ikegami:
Organization of a Latent Space structure in VAE/GAN trained by navigation data. - Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Provably Secure Federated Learning against Malicious Clients. - Said Al-Abri, Fumin Zhang:
A Distributed Active Perception Strategy for Source Seeking and Level Curve Tracking. - Andrew Giuliani:
A two-dimensional stabilized discontinuous Galerkin method on curvilinear embedded boundary grids. - Muhammad Hilmi Asyrofi, Imam Nur Bani Yusuf, Hong Jin Kang, Ferdian Thung, Zhou Yang, David Lo:
BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems. - An Yan, Xin Eric Wang, Tsu-Jui Fu, William Yang Wang:
L2C: Describing Visual Differences Needs Semantic Understanding of Individuals. - Zhuotong Chen, Qianxiao Li, Zheng Zhang:
Towards Robust Neural Networks via Close-loop Control. - Raj Prateek Kosaraju:
Deep CNNs for large scale species classification. - Geza Kovacs, Darren Edge:
QuizCram: A Quiz-Driven Lecture Viewing Interface. - Geza Kovacs:
Edvertisements: Adding Microlearning to Social News Feeds and Websites. - Sajad Khodadadian, AmirEmad Ghassami, Negar Kiyavash:
Impact of Data Processing on Fairness in Supervised Learning. - Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang:
Causal Collaborative Filtering. - Praneet Singh, Jishnu Jaykumar, Akhil Pankaj, Reshmi Mitra:
Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network. - Ghazal Mazaheri, Kevin Urrutia Avila, Amit K. Roy-Chowdhury:
Learning to identify image manipulations in scientific publications. - Nafiul Rashid, Berken Utku Demirel, Mohammad Abdullah Al Faruque:
AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices. - Dali Zhu, Haitao Liu, Ting Li, Jiyan Sun, Jie Liang, Hangsheng Zhang, Liru Geng, Yinlong Liu:
Deep Reinforcement Learning-based Task Offloading in Satellite-Terrestrial Edge Computing Networks. - Wen Jun Lim, Mahyar Shirvanimoghaddam, Rana Abbas, Yonghui Li, Branka Vucetic:
Analysis and Design of Analog Fountain Codes for Short Packet Communications in IoT. - Ammar Mansoor Kamoona, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar, Reza Hoseinnezhad:
Evaluation of Point Pattern Features for Anomaly Detection of Defect within Random Finite Set Framework. - Bekir Sait Ciftler, Abdulmalik Alwarafy, Mohamed M. Abdallah, Mounir Hamdi:
DQN-Based Multi-User Power Allocation for Hybrid RF/VLC Networks. - Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama:
Learning Diverse-Structured Networks for Adversarial Robustness. - Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis:
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines. - Yangling Ma, Zhouwang Yang:
Multi-Instance Learning by Utilizing Structural Relationship among Instances. - Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya:
Multi-color balancing for correctly adjusting the intensity of target colors. - Jing Tan, Jiaqi Tang, Limin Wang, Gangshan Wu:
Relaxed Transformer Decoders for Direct Action Proposal Generation. - Barak Or, Liam Hazan:
Length Learning for Planar Euclidean Curves. - Rucha Bhalchandra Joshi, Annada Prasad Behera, Subhankar Mishra:
Temporal Motifs in Smart Grid. - Harry Septanto, Djoko Suprijanto:
Linear Continuous Sliding Mode-based Attitude Controller with Modified Rodrigues Parameters Feedback. - Tianchi Cai, Daxi Cheng, Chen Liang, Ziqi Liu, Lihong Gu, Huizhi Xie, Zhiqiang Zhang, Xiaodong Zeng, Jinjie Gu:
LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign. - Alexey Ignatiev, Edward Lam, Peter J. Stuckey, João Marques-Silva:
A Scalable Two Stage Approach to Computing Optimal Decision Sets. - Vinod K. Kurmi, Badri N. Patro, Venkatesh K. Subramanian, Vinay P. Namboodiri:
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting. - Yucheng Liu, Lawrence Ong, Sarah Johnson, Jörg Kliewer, Parastoo Sadeghi, Phee Lep Yeoh:
Information Leakage in Zero-Error Source Coding: A Graph-Theoretic Perspective. - Avihay Chriqui, Inbal Yahav:
HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition. - Qiang Li, Miaowen Wen, Shuai Wang, George C. Alexandropoulos, Yik-Chung Wu:
Space Shift Keying with Reconfigurable Intelligent Surfaces: Phase Configuration Designs and Performance Analysis. - Srujan Teja Thomdapu, Ketan Rajawat:
Optimizing QoS for Erasure-Coded Wireless Data Centers. - Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie:
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. - Jun Fang:
Session-based Recommendation with Self-Attention Networks. - Iñaki Esnaola, Samir M. Perlaza, Ke Sun:
Data-Injection Attacks. - Jérémi Dardé, Nuutti Hyvönen, Topi Kuutela, Tuomo Valkonen:
Electrodeless electrode model for electrical impedance tomography. - Keisuke Imoto, Sakiko Mishima, Yumi Arai, Reishi Kondo:
Impact of Sound Duration and Inactive Frames on Sound Event Detection Performance. - HeeJong Park, Arvind Easwaran, Etienne Borde:
Online Cycle Detection for Models with Mode-Dependent Input and Output Dependencies. - Dogyoon Lee, Jaeha Lee, Junhyeop Lee, Hyeongmin Lee, Minhyeok Lee, Sungmin Woo, Sangyoun Lee:
Regularization Strategy for Point Cloud via Rigidly Mixed Sample. - Yucheng Zhao, Dacheng Yin, Chong Luo, Zhiyuan Zhao, Chuanxin Tang, Wenjun Zeng, Zheng-Jun Zha:
General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework. - Seunghyuk Cho, Minsoo Koo, Dongwoo Kim, Juyong Lee, Yeonwoo Jung, Kibyung Nam, Changmo Hwang:
Roughly Collected Dataset for Contact Force Sensing Catheter. - Liangxi Liu, Feng Zheng:
A Bayesian Federated Learning Framework with Multivariate Gaussian Product. - Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman:
Missing Mass of Rank-2 Markov Chains. - Xiaogang Jia, Wei Chen, Zhengfa Liang, Yusong Tan, Mingfei Wu:
Multi-Scale Cost Volumes Cascade Network for Stereo Matching. - Zainab Abaid, Dilip Sarkar, Mohamed Ali Kâafar, Sanjay K. Jha:
All Infections are Not Created Equal: Time-Sensitive Prediction of Malware Generated Network Attacks. - Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d'Autume, Sebastian Ruder, Dani Yogatama, Kris Cao, Tomás Kociský, Susannah Young, Phil Blunsom:
Pitfalls of Static Language Modelling. - Zhaoyang Pang, Callum Biggs O'May, Bhavin Choksi, Rufin VanRullen:
Predictive coding feedback results in perceived illusory contours in a recurrent neural network. - Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee:
Local Critic Training for Model-Parallel Learning of Deep Neural Networks. - Omar Zahra, David Navarro-Alarcon, Silvia Tolu:
A Neurorobotic Embodiment for Exploring the Dynamical Interactions of a Spiking Cerebellar Model and a Robot Arm During Vision-based Manipulation Tasks. - Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli:
A Bayesian Neural Network based on Dropout Regulation. - Magnus Baunsgaard Kristensen, Rasmus Ejlers Møgelberg, Andrea Vezzosi:
A model of Clocked Cubical Type Theory. - Jiashuo Zhang, Jianbo Gao, Ke Wang, Zhenhao Wu, Ying Lan, Zhi Guan, Zhong Chen:
TBFT: Understandable and Efficient Byzantine Fault Tolerance using Trusted Execution Environment. - Minjeong Shin, Alasdair Tran, Siqi Wu, Alexander Patrick Mathews, Rong Wang, Georgiana Lyall, Lexing Xie:
AttentionFlow: Visualising Influence in Networks of Time Series. - Viraj Kulkarni, Manish Gawali, Amit Kharat:
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice. - Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup:
Variance Penalized On-Policy and Off-Policy Actor-Critic. - Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata:
Learning Graph Embeddings for Compositional Zero-shot Learning. - Yu Deng, Ling Wang, Chen Zhao, Shaojie Tang, Xiaoguang Cheng, Hong-Wen Deng, Weihua Zhou:
A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images. - Shengkui Zhao, Hao Wang, Trung Hieu Nguyen, Bin Ma:
Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram. - Shengkui Zhao, Trung Hieu Nguyen, Bin Ma:
Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses. - Gergei Bana, Wojciech Jamroga, David Naccache, Peter Y. A. Ryan:
Convergence Voting: From Pairwise Comparisons to Consensus. - Guang Yang, Qinghao Ye, Jun Xia:
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond. - David Sinclair, Christopher Town:
A generalised feature for low level vision. - Orestis Georgiou, Constantinos Psomas, Eleni Demarchou, Ioannis Krikidis:
LoRa Network Performance Under Ambient Energy Harvesting and Random Transmission Schemes. - My Kieu, Lorenzo Berlincioni, Leonardo Galteri, Marco Bertini, Andrew D. Bagdanov, Alberto Del Bimbo:
Robust pedestrian detection in thermal imagery using synthesized images. - Tanvir Alam, Jens Schneider:
Social Network Analysis of Hadith Narrators from Sahih Bukhari. - Steven Chaplick, Philipp Kindermann, Jonathan Klawitter, Ignaz Rutter, Alexander Wolff:
Extending Partial Representations of Rectangular Duals with Given Contact Orientations.