astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.DC - 分布式、并行与集群计算
cs.DS - 数据结构与算法
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.LO - 计算逻辑
cs.MA - 多代理系统
cs.MM - 多媒体
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SY - 系统和控制
math.OC - 优化与控制
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
q-bio.QM - 定量方法
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
stat.OT - 其他统计学
• [astro-ph.IM]Paying Attention to Astronomical Transients: Photometric Classification with the Time-Series Transformer
• [cs.AI]Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning
• [cs.AI]Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning
• [cs.AI]Intelligence and Unambitiousness Using Algorithmic Information Theory
• [cs.AI]MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
• [cs.AI]Sufficient reasons for classifier decisions in the presence of constraints
• [cs.CL]Analysing The Impact Of Linguistic Features On Cross-Lingual Transfer
• [cs.CL]Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level
• [cs.CL]BertGCN: Transductive Text Classification by Combining GCN and BERT
• [cs.CL]Better than BERT but Worse than Baseline
• [cs.CL]Black or White but never neutral: How readers perceive identity from yellow or skin-toned emoji
• [cs.CL]Conversational AI Systems for Social Good: Opportunities and Challenges
• [cs.CL]Designing Multimodal Datasets for NLP Challenges
• [cs.CL]Go Beyond Plain Fine-tuning: Improving Pretrained Models for Social Commonsense
• [cs.CL]HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management
• [cs.CL]Linguistic Inspired Graph Analysis
• [cs.CL]MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation
• [cs.CL]Mining Legacy Issues in Open Pit Mining Sites: Innovation & Support of Renaturalization and Land Utilization
• [cs.CL]Multilingual Offensive Language Identification for Low-resource Languages
• [cs.CL]Multilingual Offensive Language Identification for Low-resource Languages
• [cs.CL]OCHADAI-KYODAI at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction
• [cs.CL]Playing Codenames with Language Graphs and Word Embeddings
• [cs.CL]Predicting Text Readability from Scrolling Interactions
• [cs.CL]Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters
• [cs.CL]SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles
• [cs.CL]Semi-Supervised Variational Reasoning for Medical Dialogue Generation
• [cs.CL]Spelling Correction with Denoising Transformer
• [cs.CL]Thematic fit bits: Annotation quality and quantity for event participant representation
• [cs.CL]Towards Human-Free Automatic Quality Evaluation of German Summarization
• [cs.CL]Video Corpus Moment Retrieval with Contrastive Learning
• [cs.CR]Hedging Against Sore Loser Attacks in Cross-Chain Transactions
• [cs.CR]PassFlow: Guessing Passwords with Generative Flows
• [cs.CR]Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
• [cs.CR]The Availability-Accountability Dilemma and its Resolution via Accountability Gadgets
• [cs.CV]3D Spatial Recognition without Spatially Labeled 3D
• [cs.CV]A one-armed CNN for exoplanet detection from light curves
• [cs.CV]Adaptive Test-Time Augmentation for Low-Power CPU
• [cs.CV]Boosting Light-Weight Depth Estimation Via Knowledge Distillation
• [cs.CV]Compatibility-aware Heterogeneous Visual Search
• [cs.CV]Connecting What to Say With Where to Look by Modeling Human Attention Traces
• [cs.CV]Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency
• [cs.CV]Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example
• [cs.CV]Deep Unsupervised Hashing by Distilled Smooth Guidance
• [cs.CV]DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization
• [cs.CV]DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
• [cs.CV]Dynamic View Synthesis from Dynamic Monocular Video
• [cs.CV]Editing Conditional Radiance Fields
• [cs.CV]Efficient Lightweight 3D-CNN using Frame Skipping and Contrast Enhancement for Facial Macro- and Micro-expression Spotting
• [cs.CV]Episodic Transformer for Vision-and-Language Navigation
• [cs.CV]Extreme Face Inpainting with Sketch-Guided Conditional GAN
• [cs.CV]GAN Prior Embedded Network for Blind Face Restoration in the Wild
• [cs.CV]Global Wheat Challenge 2020: Analysis of the competition design and winning models
• [cs.CV]High-Resolution Complex Scene Synthesis with Transformers
• [cs.CV]LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment
• [cs.CV]Learning symbol relation tree for online mathematical expression recognition
• [cs.CV]Model Pruning Based on Quantified Similarity of Feature Maps
• [cs.CV]Neural Trajectory Fields for Dynamic Novel View Synthesis
• [cs.CV]Operation-wise Attention Network for Tampering Localization Fusion
• [cs.CV]Out of the Box: Embodied Navigation in the Real World
• [cs.CV]Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition
• [cs.CV]Relation-aware Hierarchical Attention Framework for Video Question Answering
• [cs.CV]SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization
• [cs.CV]Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On
• [cs.CV]Semantic Diversity Learning for Zero-Shot Multi-label Classification
• [cs.CV]SizeNet: Object Recognition via Object Real Size-based convolutional networks
• [cs.CV]Superevents: Towards Native Semantic Segmentation for Event-based Cameras
• [cs.CV]TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learning
• [cs.CV]TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets
• [cs.CV]Unsupervised Acute Intracranial Hemorrhage Segmentation with Mixture Models
• [cs.CV]Unsupervised Hashing with Contrastive Information Bottleneck
• [cs.CV]Using Self-Supervised Co-Training to Improve Facial Representation
• [cs.CV]VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations
• [cs.CV]What’s wrong with this video? Comparing Explainers for Deepfake Detection
• [cs.CV]When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks
• [cs.CV]WildGait: Learning Gait Representations from Raw Surveillance Streams
• [cs.DC]CoCoNet: Co-Optimizing Computation and Communication for Distributed Machine Learning
• [cs.DC]Efficient executions of Pipelined Conjugate Gradient Method on Heterogeneous Architectures
• [cs.DC]Models of Computing as a Service and IoT: an analysis of the current scenario with applications using LPWAN
• [cs.DC]On Sparsity Awareness in Distributed Computations
• [cs.DS]Distributed Graph Coloring Made Easy
• [cs.DS]Efficient Stepping Algorithms and Implementations for Parallel Shortest Paths
• [cs.IR]”Who can help me?”: Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit
• [cs.IR]A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels
• [cs.IR]Causal Intervention for Leveraging Popularity Bias in Recommendation
• [cs.IR]Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network
• [cs.IR]Graph Learning based Recommender Systems: A Review
• [cs.IR]Semantic Table Retrieval using Keyword and Table Queries
• [cs.IR]TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables
• [cs.IT]A Received Power Model for Reconfigurable Intelligent Surface and Measurement-based Validations
• [cs.IT]An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval
• [cs.IT]Approximate Gradient Coding for Heterogeneous Nodes
• [cs.IT]Communication-Efficient LDPC Code Design for Data Availability Oracle in Side Blockchains
• [cs.IT]Ergodic Capacity of High Throughput Satellite Systems With Mixed FSO-RF Transmission
• [cs.IT]Global Optimization for IRS-Assisted Wireless Communications: from Physics and Electromagnetic Perspectives
• [cs.IT]Multiaccess Coded Caching with Private Demands
• [cs.IT]On information rates over a binary input channel
• [cs.IT]Optimal transport with some directed distances
• [cs.IT]Outage Common Randomness Capacity Characterization of Multiple-Antenna Slow Fading Channels
• [cs.IT]Rate-Splitting Multiple Access with Finite Blocklength for Short-Packet and Low-Latency Downlink Communications
• [cs.IT]Robust Beamforming Design and Time Allocation for IRS-assisted Wireless Powered Communication Networks
• [cs.IT]Robust Beamforming for Enhancing Security in Multibeam Satellite Systems
• [cs.IT]Successive Refinement Source Coding for Bayesian Persuasion
• [cs.IT]Two-Hop Network with Multiple Decision Centers under Expected-Rate Constraints
• [cs.IT]Variable Coded Batch Matrix Multiplication
• [cs.LG]A Graph Neural Network Approach for Product Relationship Prediction
• [cs.LG]A Scalable Algorithm for Anomaly Detection via Learning-Based Controlled Sensing
• [cs.LG]A function approximation approach to the prediction of blood glucose levels
• [cs.LG]Addressing Fairness, B
586a
ias and Class Imbalance in Machine Learning: the FBI-loss
• [cs.LG]An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings
• [cs.LG]An Open-Source Tool for Classification Models in Resource-Constrained Hardware
• [cs.LG]Anomaly Detection via Controlled Sensing and Deep Active Inference
• [cs.LG]BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening
• [cs.LG]Bootstrapping User and Item Representations for One-Class Collaborative Filtering
• [cs.LG]Causally-motivated Shortcut Removal Using Auxiliary Labels
• [cs.LG]Characterizing Uniform Convergence in Offline Policy Evaluation via model-based approach: Offline Learning, Task-Agnostic and Reward-Free
• [cs.LG]Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
• [cs.LG]DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks
• [cs.LG]Diffusion Models Beat GANs on Image Synthesis
• [cs.LG]Dynamical Isometry: The Missing Ingredient for Neural Network Pruning
• [cs.LG]Explainable Machine Learning for Fraud Detection
• [cs.LG]Exploring CTC Based End-to-End Techniques for Myanmar Speech Recognition
• [cs.LG]Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design
• [cs.LG]GIPA: General Information Propagation Algorithm for Graph Learning
• [cs.LG]Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
• [cs.LG]Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution
• [cs.LG]HeunNet: Extending ResNet using Heun’s Methods
• [cs.LG]House Price Prediction using Satellite Imagery
• [cs.LG]Informed Equation Learning
• [cs.LG]Interval Deep Learning for Uncertainty Quantification in Safety Applications
• [cs.LG]Latent Event-Predictive Encodings through Counterfactual Regularization
• [cs.LG]Leveraging Non-uniformity in First-order Non-convex Optimization
• [cs.LG]Lightweight compression of neural network feature tensors for collaborative intelligence
• [cs.LG]Likelihoods and Parameter Priors for Bayesian Networks
• [cs.LG]Machine-learning-based investigation on classifying binary and multiclass behavior outcomes of children with PIMD/SMID
• [cs.LG]Neighborhood-Aware Neural Architecture Search
• [cs.LG]On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks
• [cs.LG]OpenFL: An open-source framework for Federated Learning
• [cs.LG]Principled Exploration via Optimistic Bootstrapping and Backward Induction
• [cs.LG]Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models
• [cs.LG]Providing Assurance and Scrutability on Shared Data and Machine Learning Models with Verifiable Credentials
• [cs.LG]Quantized Proximal Averaging Network for Analysis Sparse Coding
• [cs.LG]Robust Dynamic Multi-Modal Data Fusion: A Model Uncertainty Perspective
• [cs.LG]Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay
• [cs.LG]SyntheticFur dataset for neural rendering
• [cs.LG]The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
• [cs.LG]Two novel features selection algorithms based on crowding distance
• [cs.LG]Value-at-Risk Optimization with Gaussian Processes
• [cs.LG]Why Does Multi-Epoch Training Help?
• [cs.LO]Geometric Model Checking of Continuous Space
• [cs.MA]SIDE: I Infer the State I Want to Learn
• [cs.MM]Forensic Analysis of Video Files Using Metadata
• [cs.NE]Negative Selection Algorithm Research and Applications in the last decade: A Review
• [cs.NI]A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networks
• [cs.RO]A Geometric Approach to the Kinematics of the Canfield Joint
• [cs.RO]An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet
• [cs.RO]An Upper Confidence Bound for Simultaneous Exploration and Exploitation in Heterogeneous Multi-Robot Systems
• [cs.RO]Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration
• [cs.RO]Mobility-enhanced MPC for Legged Locomotion on Rough Terrain
• [cs.RO]On Minimizing the Number of Running Buffers for Tabletop Rearrangement
• [cs.RO]Signal Temporal Logic Synthesis as Probabilistic Inference
• [cs.RO]Vision-Guided Active Tactile Perception for Crack Detection and Reconstruction
• [cs.SD]Audio Captioning with Composition of Acoustic and Semantic Information
• [cs.SD]Multi-target DoA Estimation with an Audio-visual Fusion Mechanism
• [cs.SE]Feature Interactions on Steroids: On the Composition of ML Models
• [cs.SE]Improving Code Autocompletion with Transfer Learning
• [cs.SI]Community evolution in retweet networks
• [cs.SI]Frequent Pattern Mining in Continuous-time Temporal Networks
• [cs.SI]Identifying Biased Users in Online Social Networks to Enhance the Accuracy of Sentiment Analysis: A User Behavior-Based Approach
• [cs.SI]Modeling and Evaluation of Clustering Patient Care into Bubbles
• [cs.SI]Monetizing Propaganda: How Far-right Extremists Earn Money by Video Streaming
• [cs.SI]More than Meets the Tie: Examining the Role of Interpersonal Relationships in Social Networks
• [cs.SI]Weighted directed clustering: interpretations and requirements for heterogeneous, inferred, and measured networks
• [eess.AS]Attention-based Neural Beamforming Layers for Multi-channel Speech Recognition
• [eess.IV]DONet: Dual-Octave Network for Fast MR Image Reconstruction
• [eess.IV]End-to-End Sequential Sampling and Reconstruction for MR Imaging
• [eess.IV]HINet: Half Instance Normalization Network for Image Restoration
• [eess.IV]Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images
• [eess.IV]Removing Blocking Artifacts in Video Streams Using Event Cameras
• [eess.IV]The Federated Tumor Segmentation (FeTS) Challenge
• [eess.SY]Data-Driven Strategies for Hierarchical Predictive Control in Unknown Environments
• [math
a42
.OC]Good and Bad Optimization Models: Insights from Rockafellians
• [math.NA]HiDeNN-PGD: reduced-order hierarchical deep learning neural networks
• [math.OC]A new perspective on low-rank optimization
• [math.ST]A new characterization of discrete decomposable models
• [math.ST]An integral equation for the identification of causal effects in nonlinear models
• [math.ST]An irregularly spaced first-order moving average model
• [math.ST]Asymptotic Properties of Penalized Spline Estimators in Concave Extended Linear Models: Rates of Convergence
• [math.ST]Characterizing Logarithmic Bregman Functions
• [math.ST]Characterizing the Functional Density Power Divergence Class
• [math.ST]Identity testing of reversible Markov chains
• [q-bio.QM]A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data
• [q-bio.QM]TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer
• [quant-ph]Detecting positive quantum capacities of quantum channels
• [quant-ph]Memory compression and thermal efficiency of quantum implementations of non-deterministic hidden Markov models
• [quant-ph]One-shot inner bounds for sending private classical information over a quantum MAC
• [quant-ph]Second Law of Entanglement Dynamics for the Non-Asymptotic Regime
• [stat.AP]A Path Model to Infer Mathematics Performance: The Interrelated Impact of Motivation, Attitude, Learning Style and Teaching Strategies Variables
• [stat.ME]Autoregressive Optimal Transport Models
• [stat.ME]Calculating Expected Value of Sample Information Adjusting for Imperfect Implementation
• [stat.ME]Generalizing a causal effect: sensitivity analysis and missing covariates
• [stat.ME]SCAU: Modeling spectral causality for multivariate time series with applications to electroencephalograms
• [stat.ME]Threshold selection for wave heights: asymptotic methods based on L-moments
• [stat.ME]Two-step method for assessing dissimilarity of random sets
• [stat.ML]Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models
• [stat.ML]Joint Community Detection and Rotational Synchronization via Semidefinite Programming
• [stat.OT]Perspective on Data Science
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• [astro-ph.IM]Paying Attention to Astronomical Transients: Photometric Classification with the Time-Series Transformer
Tarek Allam Jr., Jason D. McEwen
http://arxiv.org/abs/2105.06178v1
• [cs.AI]Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning
Adrian Remonda, Eduardo Veas, Granit Luzhnica
http://arxiv.org/abs/2105.05716v2
• [cs.AI]Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning
Hui Wang, Mike Preuss, Aske Plaat
http://arxiv.org/abs/2105.06136v1
• [cs.AI]Intelligence and Unambitiousness Using Algorithmic Information Theory
Michael K. Cohen, Badri Vellambi, Marcus Hutter
http://arxiv.org/abs/2105.06268v1
• [cs.AI]MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
http://arxiv.org/abs/2105.06350v1
• [cs.AI]Sufficient reasons for classifier decisions in the presence of constraints
Niku Gorji, Sasha Rubin
http://arxiv.org/abs/2105.06001v1
• [cs.CL]Analysing The Impact Of Linguistic Features On Cross-Lingual Transfer
Błażej Dolicki, Gerasimos Spanakis
http://arxiv.org/abs/2105.05975v1
• [cs.CL]Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level
Ruiqi Zhong, Dhruba Ghosh, Dan Klein, Jacob Steinhardt
http://arxiv.org/abs/2105.06020v1
• [cs.CL]BertGCN: Transductive Text Classification by Combining GCN and BERT
Yuxiao Lin, Yuxian Meng, Xiaofei Sun, Qinghong Han, Kun Kuang, Jiwei Li, Fei Wu
http://arxiv.org/abs/2105.05727v2
• [cs.CL]Better than BERT but Worse than Baseline
Boxiang Liu, Jiaji Huang, Xingyu Cai, Kenneth Church
http://arxiv.org/abs/2105.05915v1
• [cs.CL]Black or White but never neutral: How readers perceive identity from yellow or skin-toned emoji
Alexander Robertson, Walid Magdy, Sharon Goldwater
http://arxiv.org/abs/2105.05887v1
• [cs.CL]Conversational AI Systems for Social Good: Opportunities and Challenges
Peng Qi, Jing Huang, Youzheng Wu, Xiaodong He, Bowen Zhou
http://arxiv.org/abs/2105.06457v1
• [cs.CL]Designing Multimodal Datasets for NLP Challenges
James Pustejovsky, Eben Holderness, Jingxuan Tu, Parker Glenn, Kyeongmin Rim, Kelley Lynch, Richard Brutti
http://arxiv.org/abs/2105.05999v1
• [cs.CL]Go Beyond Plain Fine-tuning: Improving Pretrained Models for Social Commonsense
Ting-Yun Chang, Yang Liu, Karthik Gopalakrishnan, Behnam Hedayatnia, Pei Zhou, Dilek Hakkani-Tur
http://arxiv.org/abs/2105.05913v1
• [cs.CL]HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management
Silin Gao, Ryuichi Takanobu, Wei Peng, Qun Liu, Minlie Huang
http://arxiv.org/abs/2105.06041v1
• [cs.CL]Linguistic Inspired Graph Analysis
Andrew Broekman, Linda Marshall
http://arxiv.org/abs/2105.06216v1
• [cs.CL]MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation
Ahmad Rashid, Vasileios Lioutas, Mehdi Rezagholizadeh
http://arxiv.org/abs/2105.05912v1
• [cs.CL]Mining Legacy Issues in Open Pit Mining Sites: Innovation & Support of Renaturalization and Land Utilization
Christopher Schröder, Kim Bürgl, Yves Annanias, Andreas Niekler, Lydia Müller, Daniel Wiegreffe, Christian Bender, Christoph Mengs, Gerik Scheuermann, Gerhard Heyer
http://arxiv.org/abs/2105.05557v2
• [cs.CL]Multilingual Offensive Language Identification for Low-resource Languages
Tharindu Ranasinghe, Marcos Zampieri
http://arxiv.org/abs/2105.05996v1
• [cs.CL]Multilingual Offensive Language Identification for Low-resource Languages
Tharindu Ranasinghe, Marcos Zampieri
http://arxiv.org/abs/org/abs/2105.05996v1
• [cs.CL]OCHADAI-KYODAI at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction
Yuki Taya, Lis Kanashiro Pereira, Fei Cheng, Ichiro Kobayashi
http://arxiv.org/abs/2105.05535v2
• [cs.CL]Playing Codenames with Language Graphs and Word Embeddings
Divya Koyyalagunta, Anna Sun, Rachel Lea Draelos, Cynthia Rudin
http://arxiv.org/abs/2105.05885v1
• [cs.CL]Predicting Text Readability from Scrolling Interactions
Sian Gooding, Yevgeni Berzak, Tony Mak, Matt Sharifi
http://arxiv.org/abs/2105.06354v1
• [cs.CL]Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters
Yan Xu, Etsuko Ishii, Zihan Liu, Genta Indra Winata, Dan Su, Andrea Madotto, Pascale Fung
http://arxiv.org/abs/2105.06232v1
• [cs.CL]SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles
Ana-Cristina Rogoz, Mihaela Gaman, Radu Tudor Ionescu
http://arxiv.org/abs/2105.06456v1
• [cs.CL]Semi-Supervised Variational Reasoning for Medical Dialogue Generation
Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, Maarten de Rijke
http://arxiv.org/abs/2105.06071v1
• [cs.CL]Spelling Correction with Denoising Transformer
Alex Kuznetsov, Hector Urdiales
http://arxiv.org/abs/2105.05977v1
• [cs.CL]Thematic fit bits: Annotation quality and quantity for event participant representation
Yuval Marton, Asad Sayeed
http://arxiv.org/abs/2105.06097v1
• [cs.CL]Towards Human-Free Automatic Quality Evaluation of German Summarization
Neslihan Iskender, Oleg Vasilyev, Tim Polzehl, John Bohannon, Sebastian Möller
http://arxiv.org/abs/2105.06027v1
• [cs.CL]Video Corpus Moment Retrieval with Contrastive Learning
Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
http://arxiv.org/abs/2105.06247v1
• [cs.CR]Hedging Against Sore Loser Attacks in Cross-Chain Transactions
Yingjie Xue, Maurice Herlihy
http://arxiv.org/abs/2105.06322v1
• [cs.CR]PassFlow: Guessing Passwords with Generative Flows
Giulio Pagnotta, Dorjan Hitaj, Fabio De Gaspari, Luigi V. Mancini
http://arxiv.org/abs/2105.06165v1
• [cs.CR]Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
Xiaoyu Zhang, Chao Chen, Yi Xie, Xiaofeng Chen, Jun Zhang, Yang Xiang
http://arxiv.org/abs/2105.06300v1
• [cs.CR]The Availability-Accountability Dilemma and its Resolution via Accountability Gadgets
Joachim Neu, Ertem Nusret Tas, David Tse
http://arxiv.org/abs/2105.06075v1
• [cs.CV]3D Spatial Recognition without Spatially Labeled 3D
Zhongzheng Ren, Ishan Misra, Alexander G. Schwing, Rohit Girdhar
http://arxiv.org/abs/2105.06461v1
• [cs.CV]A one-armed CNN for exoplanet detection from light curves
Koko Visser, Bas Bosma, Eric Postma
http://arxiv.org/abs/2105.06292v1
• [cs.CV]Adaptive Test-Time Augmentation for Low-Power CPU
Luca Mocerino, Roberto G. Rizzo, Valentino Peluso, Andrea Calimera, Enrico Macii
http://arxiv.org/abs/2105.06183v1
• [cs.CV]Boosting Light-Weight Depth Estimation Via Knowledge Distillation
Junjie Hu, Chenyou Fan, Hualie Jiang, Xiyue Guo, Xiangyong Lu, Tin Lun Lam
http://arxiv.org/abs/2105.06143v1
• [cs.CV]Compatibility-aware Heterogeneous Visual Search
Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
http://arxiv.org/abs/2105.06047v1
• [cs.CV]Connecting What to Say With Where to Look by Modeling Human Attention Traces
Zihang Meng, Licheng Yu, Ning Zhang, Tamara Berg, Babak Damavandi, Vikas Singh, Amy Bearman
http://arxiv.org/abs/2105.05964v1
• [cs.CV]Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency
Haiping Wu, Xiaolong Wang
http://arxiv.org/abs/2105.06463v1
• [cs.CV]Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example
Robin Kips, Ruowei Jiang, Sileye Ba, Edmund Phung, Parham Aarabi, Pietro Gori, Matthieu Perrot, Isabelle Bloch
http://arxiv.org/abs/2105.06407v1
• [cs.CV]Deep Unsupervised Hashing by Distilled Smooth Guidance
Xiao Luo, Zeyu Ma, Daqing Wu, Huasong Zhong, Chong Chen, Jinwen Ma, Minghua Deng
http://arxiv.org/abs/2105.06125v1
• [cs.CV]DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization
Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, Chengxiang Zhai, Alexander G. Schwing
http://arxiv.org/abs/2105.06441v1
• [cs.CV]DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
Shiyi Lan, Zhiding Yu, Christopher Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar
http://arxiv.org/abs/2105.06464v1
• [cs.CV]Dynamic View Synthesis from Dynamic Monocular Video
Chen Gao, Ayush Saraf, Johannes Kopf, Jia-Bin Huang
http://arxiv.org/abs/2105.06468v1
• [cs.CV]Editing Conditional Radiance Fields
Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell
http://arxiv.org/abs/2105.06466v1
• [cs.CV]Efficient Lightweight 3D-CNN using Frame Skipping and Contrast Enhancement for Facial Macro- and Micro-expression Spotting
Chuin Hong Yap, Moi Hoon Yap, Adrian K. Davison, Ryan Cunningham
http://arxiv.org/abs/2105.06340v1
• [cs.CV]Episodic Transformer for Vision-and-Language Navigation
Alexander Pashevich, Cordelia Schmid, Chen Sun
http://arxiv.org/abs/2105.06453v1
• [cs.CV]Extreme Face Inpainting with Sketch-Guided Conditional GAN
Nilesh Pandey, Andreas Savakis
http://arxiv.org/abs/2105.06033v1
• [cs.CV]GAN Prior Embedded Network for Blind Face Restoration in the Wild
Tao Yang, Peiran Ren, Xuansong Xie, Lei Zhang
http://arxiv.org/abs/2105.06070v1
• [cs.CV]Global Wheat Challenge 2020: Analysis of the competition design and winning models
Etienne David, Franklin Ogidi, Wei Guo, Frederic Baret, Ian Stavness
http://arxiv.org/abs/2105.06182v1
• [cs.CV]High-Resolution Complex Scene Synthesis with Transformers
Manuel Jahn, Robin Rombach, Björn Ommer
http://arxiv.org/abs/2105.06458v1
• [cs.CV]LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment
Liang Qiao, Zaisheng Li, Zhanzhan Cheng, Peng Zhang, Shiliang Pu, Yi Niu, Wenqi Ren, Wenming Tan, Fei Wu
http://arxiv.org/abs/2105.06224v1
• [cs.CV]Learning symbol relation tree for online mathematical expression recognition
Thanh-Nghia Truong, Hung Tuan Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa
http://arxiv.org/abs/2105.06084v1
• [cs.CV]Model Pruning Based on Quantified Similarity of Feature Maps
Zidu Wang, Xuexin Liu, Long Huang, Yunqing Chen, Yufei Zhang, Zhikang Lin, Rui Wang
http://arxiv.org/abs/2105.06052v1
• [cs.CV]Neural Trajectory Fields for Dynamic Novel View Synthesis
Chaoyang Wang, Ben Eckart, Simon Lucey, Orazio Gallo
http://arxiv.org/abs/2105.05994v1
• [cs.CV]Operation-wise Attention Network for Tampering Localization Fusion
Polychronis Charitidis, Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Kompatsiaris
http://arxiv.org/abs/2105.05515v2
• [cs.CV]Out of the Box: Embodied Navigation in the Real World
Roberto Bigazzi, Federico Landi, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara
http://arxiv.org/abs/2105.05873v1
• [cs.CV]Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition
Hui Jiang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Wenqi Ren, Fei Wu, Wenming Tan
http://arxiv.org/abs/2105.06229v1
• [cs.CV]Relation-aware Hierarchical Attention Framework for Video Question Answering
Fangtao Li, Ting Bai, Chenyu Cao, Zihe Liu, Chenghao Yan, Bin Wu
http://arxiv.org/abs/2105.06160v1
• [cs.CV]SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization
Aaditya Singh, Shreeshail Hingane, Xinyu Gong, Zhangyang Wang
http://arxiv.org/abs/2105.06129v1
• [cs.CV]Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On
Igor Santesteban, Nils Thuerey, Miguel A. Otaduy, Dan Casas
http://arxiv.org/abs/2105.06462v1
• [cs.CV]Semantic Diversity Learning for Zero-Shot Multi-label Classification
Avi Ben-Cohen, Nadav Zamir, Emanuel Ben Baruch, Itamar Friedman, Lihi Zelnik-Manor
http://arxiv.org/abs/2105.05926v1
• [cs.CV]SizeNet: Object Recognition via Object Real Size-based convolutional networks
Xiaofei Li, Zhong Dong
http://arxiv.org/abs/2105.06188v1
• [cs.CV]Superevents: Towards Native Semantic Segmentation for Event-based Cameras
Weng Fei Low, Ankit Sonthalia, Zhi Gao, André van Schaik, Bharath Ramesh
http://arxiv.org/abs/2105.06091v1
• [cs.CV]TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learning
Sangyup Lee, Shahroz Tariq, Junyaup Kim, Simon S. Woo
http://arxiv.org/abs/2105.06117v1
• [cs.CV]TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets
Yaxing Wang, Hector Laria Mantecon, Joost van de WeijerLaura Lopez-Fuentes, Bogdan Raducanu
http://arxiv.org/abs/2105.06219v1
• [cs.CV]Unsupervised Acute Intracranial Hemorrhage Segmentation with Mixture Models
Kimmo Kärkkäinen, Shayan Fazeli, Majid Sarrafzadeh
http://arxiv.org/abs/2105.05891v1
• [cs.CV]Unsupervised Hashing with Contrastive Information Bottleneck
Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen
http://arxiv.org/abs/2105.06138v1
• [cs.CV]Using Self-Supervised Co-Training to Improve Facial Representation
Mahdi Pourmirzaei, Farzaneh Esmaili, Gholam Ali Montazer
http://arxiv.org/abs/2105.06421v1
• [cs.CV]VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations
Peng Zhang, Can Li, Liang Qiao, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Fei Wu
http://arxiv.org/abs/2105.06220v1
• [cs.CV]What’s wrong with this video? Comparing Explainers for Deepfake Detection
Samuele Pino, Mark James Carman, Paolo Bestagini
http://arxiv.org/abs/2105.05902v1
• [cs.CV]When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks
Jiahang Wang, Sheng Jin, Wentao Liu, Weizhong Liu, Chen Qian, Ping Luo
http://arxiv.org/abs/2105.06152v1
• [cs.CV]WildGait: Learning Gait Representations from Raw Surveillance Streams
Adrian Cosma, Emilian Radoi
http://arxiv.org/abs/2105.05528v2
• [cs.DC]CoCoNet: Co-Optimizing Computation and Communication for Distributed Machine Learning
Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Sarikivi
http://arxiv.org/abs/2105.05720v2
• [cs.DC]Efficient executions of Pipelined Conjugate Gradient Method on Heterogeneous Architectures
Manasi Tiwari, Sathish Vadhiyar
http://arxiv.org/abs/2105.06176v1
• [cs.DC]Models of Computing as a Service and IoT: an analysis of the current scenario with applications using LPWAN
Wesley dos Reis Bezerra, Fernando Luiz Koch, Carlos Becker Westphall
http://arxiv.org/abs/2105.06050v1
• [cs.DC]On Sparsity Awareness in Distributed Computations
Keren Censor-Hillel, Dean Leitersdorf, Volodymyr Polosukhin
http://arxiv.org/abs/2105.06068v1
• [cs.DS]Distributed Graph Coloring Made Easy
Yannic Maus
http://arxiv.org/abs/2105.05575v2
• [cs.DS]Efficient Stepping Algorithms and Implementations for Parallel Shortest Paths
Xiaojun Dong, Yan Gu, Yihan Sun, Yunming Zhang
http://arxiv.org/abs/2105.06145v1
• [cs.IR]“Who can help me?”: Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit
Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit Sheth
http://arxiv.org/abs/2105.06398v1
• [cs.IR]A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels
Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi
http://arxiv.org/abs/2105.06275v1
• [cs.IR]Causal Intervention for Leveraging Popularity Bias in Recommendation
Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang
http://arxiv.org/abs/2105.06067v1
• [cs.IR]Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network
Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke
http://arxiv.org/abs/2105.06083v1
• [cs.IR]Graph Learning based Recommender Systems: A Review
Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu
http://arxiv.org/abs/2105.06339v1
• [cs.IR]Semantic Table Retrieval using Keyword and Table Queries
Shuo Zhang, Krisztian Balog
http://arxiv.org/abs/2105.06365v1
• [cs.IR]TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables
Harsh Desai, Pratik Kayal, Mayank Singh
http://arxiv.org/abs/2105.06400v1
• [cs.IT]A Received Power Model for Reconfigurable Intelligent Surface and Measurement-based Validations
Zipeng Wang, Li Tan, Haifan Yin, Kai Wang, Xilong Pei, David Gesbert
http://arxiv.org/abs/2105.06082v1
• [cs.IT]An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval
Koshi Shimada, Shota Saito, Toshiyasu Matsushima
http://arxiv.org/abs/2105.05163v2
• [cs.IT]Approximate Gradient Coding for Heterogeneous Nodes
Amogh Johri, Arti Yardi, Tejas Bodas
http://arxiv.org/abs/2105.06124v1
• [cs.IT]Communication-Efficient LDPC Code Design for Data Availability Oracle in Side Blockchains
Debarnab Mitra, Lev Tauz, Lara Dolecek
http://arxiv.org/abs/2105.06004v1
• [cs.IT]Ergodic Capacity of High Throughput Satellite Systems With Mixed FSO-RF Transmission
Kong Huaicong, Lin Min, Wang Zining, Ouyang Jian, Cheng Julian
http://arxiv.org/abs/2105.06284v1
• [cs.IT]Global Optimization for IRS-Assisted Wireless Communications: from Physics and Electromagnetic Perspectives
Xin Cheng, Yan Lin, Weiping Shi, Jiayu Li, Cunhua Pan, Feng Shu, Yongpeng Wu, Jiangzhou Wang
http://arxiv.org/abs/2105.05618v2
• [cs.IT]Multiaccess Coded Caching with Private Demands
Dequan Liang, Kai Wan, Minquan Cheng, Giuseppe Caire
http://arxiv.org/abs/2105.06282v1
• [cs.IT]On information rates over a binary input channel
Michael Peleg, Tomer Michaeli, Shlomo Shamai
http://arxiv.org/abs/2105.06187v1
• [cs.IT]Optimal transport with some directed distances
Wolfgang Stummer
http://arxiv.org/abs/2105.05989v1
• [cs.IT]Outage Common Randomness Capacity Characterization of Multiple-Antenna Slow Fading Channels
Rami Ezzine, Moritz Wiese, Christian Deppe, Holger Boche
http://arxiv.org/abs/2105.06451v1
• [cs.IT]Rate-Splitting Multiple Access with Finite Blocklength for Short-Packet and Low-Latency Downlink Communications
Yunnuo Xu, Yijie Mao, Onur Dizdar, Bruno Clerckx
http://arxiv.org/abs/2105.06198v1
• [cs.IT]Robust Beamforming Design and Time Allocation for IRS-assisted Wireless Powered Communication Networks
Zhendong Li, Wen Chen, Qingqing Wu, Huanqing Cao, Kunlun Wang, Jun Li
http://arxiv.org/abs/2105.06226v1
• [cs.IT]Robust Beamforming for Enhancing Security in Multibeam Satellite Systems
Jian Zhang, Min Lin, Jian Ouyang, Wei-Ping Zhu, Tomaso de Cola
http://arxiv.org/abs/2105.06023v1
• [cs.IT]Successive Refinement Source Coding for Bayesian Persuasion
Rony Bou Rouphael, Mael Le Treust
http://arxiv.org/abs/2105.06201v1
• [cs.IT]Two-Hop Network with Multiple Decision Centers under Expected-Rate Constraints
Mustapha Hamad, Michèle Wigger, Mireille Sarkiss
http://arxiv.org/abs/2105.05917v1
• [cs.IT]Variable Coded Batch Matrix Multiplication
Lev Tauz, Lara Dolecek
http://arxiv.org/abs/2105.06162v1
• [cs.LG]A Graph Neural Network Approach for Product Relationship Prediction
Faez Ahmed, Yaxin Cui, Yan Fu, Wei Chen
http://arxiv.org/abs/2105.05881v1
• [cs.LG]A Scalable Algorithm for Anomaly Detection via Learning-Based Controlled Sensing
Geethu Joseph, M. Cenk Gursoy, Pramod K. Varshney
http://arxiv.org/abs/2105.06289v1
• [cs.LG]A function approximation approach to the prediction of blood glucose levels
H. N. Mhaskar, S. V. Pereverzyev, M. D. van der Walt
http://arxiv.org/abs/2105.05893v1
• [cs.LG]Addressing Fairness, B
586a
ias and Class Imbalance in Machine Learning: the FBI-loss
Elisa Ferrari, Davide Bacciu
http://arxiv.org/abs/2105.06345v1
• [cs.LG]An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings
Hemank Lamba, Kit T. Rodolfa, Rayid Ghani
http://arxiv.org/abs/2105.06442v1
• [cs.LG]An Open-Source Tool for Classification Models in Resource-Constrained Hardware
Lucas Tsutsui da Silva, Vinicius M. A. Souza, Gustavo E. A. P. A. Batista
http://arxiv.org/abs/2105.05983v1
• [cs.LG]Anomaly Detection via Controlled Sensing and Deep Active Inference
Geethu Joseph, Chen Zhong, M. Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney
http://arxiv.org/abs/2105.06288v1
• [cs.LG]BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening
Wenqi Shao, Hang Yu, Zhaoyang Zhang, Hang Xu, Zhenguo Li, Ping Luo
http://arxiv.org/abs/2105.06423v1
• [cs.LG]Bootstrapping User and Item Representations for One-Class Collaborative Filtering
Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu
http://arxiv.org/abs/2105.06323v1
• [cs.LG]Causally-motivated Shortcut Removal Using Auxiliary Labels
Maggie Makar, Ben Packer, Dan Moldovan, Davis Blalock, Yoni Halpern, Alexander D’Amour
http://arxiv.org/abs/2105.06422v1
• [cs.LG]Characterizing Uniform Convergence in Offline Policy Evaluation via model-based approach: Offline Learning, Task-Agnostic and Reward-Free
Ming Yin, Yu-Xiang Wang
http://arxiv.org/abs/2105.06029v1
• [cs.LG]Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
http://arxiv.org/abs/2105.05883v1
• [cs.LG]DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks
Yingzhe He, Guozhu Meng, Kai Chen, Jinwen He, Xingbo Hu
http://arxiv.org/abs/2105.06209v1
• [cs.LG]Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal, Alex Nichol
http://arxiv.org/abs/2105.05233v3
• [cs.LG]Dynamical Isometry: The Missing Ingredient for Neural Network Pruning
Huan Wang, Can Qin, Yue Bai, Yun Fu
http://arxiv.org/abs/2105.05916v1
• [cs.LG]Explainable Machine Learning for Fraud Detection
Ismini Psychoula, Andreas Gutmann, Pradip Mainali, S. H. Lee, Paul Dunphy, Fabien A. P. Petitcolas
http://arxiv.org/abs/2105.06314v1
• [cs.LG]Exploring CTC Based End-to-End Techniques for Myanmar Speech Recognition
Khin Me Me Chit, Laet Laet Lin
http://arxiv.org/abs/2105.06253v1
• [cs.LG]Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design
Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, H. Vincent Poor
http://arxiv.org/abs/2105.06256v1
• [cs.LG]GIPA: General Information Propagation Algorithm for Graph Learning
Qinkai Zheng, Houyi Li, Peng Zhang, Zhixiong Yang, Guowei Zhang, Xintan Zeng, Yongchao Liu
http://arxiv.org/abs/2105.06035v1
• [cs.LG]Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, Mikhail Kudinov
http://arxiv.org/abs/2105.06337v1
• [cs.LG]Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution
Robert A. Barton, Tal Neiman, Changhe Yuan
http://arxiv.org/abs/2105.05957v1
• [cs.LG]HeunNet: Extending ResNet using Heun’s Methods
Mehrdad Maleki, Mansura Habiba, Barak A. Pearlmutter
http://arxiv.org/abs/2105.06168v1
• [cs.LG]House Price Prediction using Satellite Imagery
Sina Jandaghi Semnani, Hoormazd Rezaei
http://arxiv.org/abs/2105.06060v1
• [cs.LG]Informed Equation Learning
Matthias Werner, Andrej Junginger, Philipp Hennig, Georg Martius
http://arxiv.org/abs/2105.06331v1
• [cs.LG]Interval Deep Learning for Uncertainty Quantification in Safety Applications
David Betancourt, Rafi Muhanna
http://arxiv.org/abs/2105.06438v1
• [cs.LG]Latent Event-Predictive Encodings through Counterfactual Regularization
Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley Wu, Martin V. Butz
http://arxiv.org/abs/2105.05894v1
• [cs.LG]Leveraging Non-uniformity in First-order Non-convex Optimization
Jincheng Mei, Yue Gao, Bo Dai, Csaba Szepesvari, Dale Schuurmans
http://arxiv.org/abs/2105.06072v1
• [cs.LG]Lightweight compression of neural network feature tensors for collaborative intelligence
Robert A. Cohen, Hyomin Choi, Ivan V. Bajić
http://arxiv.org/abs/2105.06002v1
• [cs.LG]Likelihoods and Parameter Priors for Bayesian Networks
David Heckerman, Dan Geiger
http://arxiv.org/abs/2105.06241v1
• [cs.LG]Machine-learning-based investigation on classifying binary and multiclass behavior outcomes of children with PIMD/SMID
Von Ralph Dane Marquez Herbuela, Tomonori Karita, Yoshiya Furukawa, Yoshinori Wada, Yoshihiro Yagi, Shuichiro Senba, Eiko Onishi, Tatsuo Saeki
http://arxiv.org/abs/2105.06025v1
• [cs.LG]Neighborhood-Aware Neural Architecture Search
Xiaofang Wang, Shengcao Cao, Mengtian Li, Kris M. Kitani
http://arxiv.org/abs/2105.06369v1
• [cs.LG]On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks
Hancheng Min, Salma Tarmoun, Rene Vidal, Enrique Mallada
http://arxiv.org/abs/2105.06351v1
• [cs.LG]OpenFL: An open-source framework for Federated Learning
G Anthony Reina, Alexey Gruzdev, Patrick Foley, Olga Perepelkina, Mansi Sharma, Igor Davidyuk, Ilya Trushkin, Maksim Radionov, Aleksandr Mokrov, Dmitry Agapov, Jason Martin, Brandon Edwards, Micah J. Sheller, Sarthak Pati, Prakash Narayana Moorthy, Shih-han Wang, Prashant Shah, Spyridon Bakas
http://arxiv.org/abs/2105.06413v1
• [cs.LG]Principled Exploration via Optimistic Bootstrapping and Backward Induction
Chenjia Bai, Lingxiao Wang, Zhaoran Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu
http://arxiv.org/abs/2105.06022v1
• [cs.LG]Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models
Viraj Shah, Rakib Hyder, M. Salman Asif, Chinmay Hegde
http://arxiv.org/abs/2105.06371v1
• [cs.LG]Providing Assurance and Scrutability on Shared Data and Machine Learning Models with Verifiable Credentials
Iain Barclay, Alun Preece, Ian Taylor, Swapna K. Radha, Jarek Nabrzyski
http://arxiv.org/abs/2105.06370v1
• [cs.LG]Quantized Proximal Averaging Network for Analysis Sparse Coding
Kartheek Kumar Reddy Nareddy, Mani Madhoolika Bulusu, Praveen Kumar Pokala, Chandra Sekhar Seelamantula
http://arxiv.org/abs/2105.06211v1
• [cs.LG]Robust Dynamic Multi-Modal Data Fusion: A Model Uncertainty Perspective
Bin Liu
http://arxiv.org/abs/2105.06018v1
• [cs.LG]Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay
Hsiang-Yun Sherry Chien, Javier S. Turek, Nicole Beckage, Vy A. Vo, Christopher J. Honey, Ted L. Willke
http://arxiv.org/abs/2105.05944v1
• [cs.LG]SyntheticFur dataset for neural rendering
Trung Le, Ryan Poplin, Fred Bertsch, Andeep Singh Toor, Margaret L. Oh
http://arxiv.org/abs/2105.06409v1
• [cs.LG]The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
Christopher Morris, Matthias Fey, Nils M. Kriege
http://arxiv.org/abs/2105.05911v1
• [cs.LG]Two novel features selection algorithms based on crowding distance
Abdesslem Layeb
http://arxiv.org/abs/2105.05212v2
• [cs.LG]Value-at-Risk Optimization with Gaussian Processes
Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet
http://arxiv.org/abs/2105.06126v1
• [cs.LG]Why Does Multi-Epoch Training Help?
Yi Xu, Qi Qian, Hao Li, Rong Jin
http://arxiv.org/abs/2105.06015v1
• [cs.LO]Geometric Model Checking of Continuous Space
Nick Bezhanishvili, Vincenzo Ciancia, David Gabelaia, Gianluca Grilletti, Diego Latella, Mieke Massink
http://arxiv.org/abs/2105.06194v1
• [cs.MA]SIDE: I Infer the State I Want to Learn
Zhiwei Xu, Yunpeng Bai, Dapeng Li, Bin Zhang, Guoliang Fan
http://arxiv.org/abs/2105.06228v1
• [cs.MM]Forensic Analysis of Video Files Using Metadata
Ziyue Xiang, János Horváth, Sriram Baireddy, Paolo Bestagini, Stefano Tubaro, Edward J. Delp
http://arxiv.org/abs/2105.06361v1
• [cs.NE]Negative Selection Algorithm Research and Applications in the last decade: A Review
Kishor Datta Gupta, Dipankar Dasgupta
http://arxiv.org/abs/2105.06109v1
• [cs.NI]A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networks
Nikolaos Nomikos, Spyros Zoupanos, Themistoklis Charalambous, Ioannis Krikidis, Athina Petropulu
http://arxiv.org/abs/2105.05564v2
• [cs.RO]A Geometric Approach to the Kinematics of the Canfield Joint
Christian Bueno, Kristina Collins, Alan Hylton, Robert Short
http://arxiv.org/abs/2105.05955v1
• [cs.RO]An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet
Xintong Yang, Ze Ji, Jing
28e
Wu, Yu-Kun Lai
http://arxiv.org/abs/2105.05985v1
• [cs.RO]An Upper Confidence Bound for Simultaneous Exploration and Exploitation in Heterogeneous Multi-Robot Systems
Ki Myung Brian Lee, Felix H. Kong, Ricardo Cannizzaro, Jennifer L. Palmer, David Johnson, Chanyeol Yoo, Robert Fitch
http://arxiv.org/abs/2105.06118v1
• [cs.RO]Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration
Edward Johns
http://arxiv.org/abs/2105.06411v1
• [cs.RO]Mobility-enhanced MPC for Legged Locomotion on Rough Terrain
Niraj Rathod, Angelo Bratta, Michele Focchi, Mario Zanon, Octavio Villarreal, Claudio Semini, Alberto Bemporad
http://arxiv.org/abs/2105.05998v1
• [cs.RO]On Minimizing the Number of Running Buffers for Tabletop Rearrangement
Kai Gao, Si Wei Feng, Jingjin Yu
http://arxiv.org/abs/2105.06357v1
• [cs.RO]Signal Temporal Logic Synthesis as Probabilistic Inference
Ki Myung Brian Lee, Chanyeol Yoo, Robert Fitch
http://arxiv.org/abs/2105.06121v1
• [cs.RO]Vision-Guided Active Tactile Perception for Crack Detection and Reconstruction
Jiaqi Jiang, Guanqun Cao, Daniel Fernandes Gomes, Shan Luo
http://arxiv.org/abs/2105.06325v1
• [cs.SD]Audio Captioning with Composition of Acoustic and Semantic Information
Ayşegül Özkaya Eren, Mustafa Sert
http://arxiv.org/abs/2105.06355v1
• [cs.SD]Multi-target DoA Estimation with an Audio-visual Fusion Mechanism
Xinyuan Qian, Maulik Madhavi, Zexu Pan, Jiadong Wang, Haizhou Li
http://arxiv.org/abs/2105.06107v1
• [cs.SE]Feature Interactions on Steroids: On the Composition of ML Models
Christian Kästner, Eunsuk Kang, Sven Apel
http://arxiv.org/abs/2105.06449v1
• [cs.SE]Improving Code Autocompletion with Transfer Learning
Wen Zhou, Seohyun Kim, Vijayaraghavan Murali, Gareth Ari Aye
http://arxiv.org/abs/2105.05991v1
• [cs.SI]Community evolution in retweet networks
Bojan Evkoski, Igor Mozetic, Nikola Ljubesic, Petra Kralj Novak
http://arxiv.org/abs/2105.06214v1
• [cs.SI]Frequent Pattern Mining in Continuous-time Temporal Networks
Ali Jazayeri, Christopher C. Yang
http://arxiv.org/abs/2105.06399v1
• [cs.SI]Identifying Biased Users in Online Social Networks to Enhance the Accuracy of Sentiment Analysis: A User Behavior-Based Approach
Amin Mahmoudi
http://arxiv.org/abs/2105.05950v1
• [cs.SI]Modeling and Evaluation of Clustering Patient Care into Bubbles
D. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip M. Polgreen, Daniel K. Sewell, Bijaya Adhikari, Sriram V. Pemmaraju
http://arxiv.org/abs/2105.06278v1
• [cs.SI]Monetizing Propaganda: How Far-right Extremists Earn Money by Video Streaming
Megan Squire
http://arxiv.org/abs/2105.05929v1
• [cs.SI]More than Meets the Tie: Examining the Role of Interpersonal Relationships in Social Networks
Minje Choi, Ceren Budak, Daniel M. Romero, David Jurgens
http://arxiv.org/abs/2105.06038v1
• [cs.SI]Weighted directed clustering: interpretations and requirements for heterogeneous, inferred, and measured networks
Tanguy Fardet, Anna Levina
http://arxiv.org/abs/2105.06318v1
• [eess.AS]Attention-based Neural Beamforming Layers for Multi-channel Speech Recognition
Bhargav Pulugundla, Yang Gao, Brian King, Gokce Keskin, Harish Mallidi, Minhua Wu, Jasha Droppo, Roland Maas
http://arxiv.org/abs/2105.05920v1
• [eess.IV]DONet: Dual-Octave Network for Fast MR Image Reconstruction
Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao
http://arxiv.org/abs/2105.05980v1
• [eess.IV]End-to-End Sequential Sampling and Reconstruction for MR Imaging
Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
http://arxiv.org/abs/2105.06460v1
• [eess.IV]HINet: Half Instance Normalization Network for Image Restoration
Liangyu Chen, Xin Lu, Jie Zhang, Xiaojie Chu, Chengpeng Chen
http://arxiv.org/abs/2105.06086v1
• [eess.IV]Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images
Afshin Bozorgpour, Reza Azad, Eman Showkatian, Alaa Sulaiman
http://arxiv.org/abs/2105.06238v1
• [eess.IV]Removing Blocking Artifacts in Video Streams Using Event Cameras
Henry H. Chopp, Srutarshi Banerjee, Oliver Cossairt, Aggelos K. Katsaggelos
http://arxiv.org/abs/2105.05973v1
• [eess.IV]The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Rivka R. Colen, Aikaterini Kotrotsou, Daniel Marcus, Mikhail Milchenko, Arash Nazer, Hassan Fathallah-Shaykh, Roland Wiest Andras Jakab, Marc-Andre Weber, Abhishek Mahajan, Lena Maier-Hein, Jens Kleesiek, Bjoern Menze, Klaus Maier-Hein, Spyridon Bakas
http://arxiv.org/abs/2105.05874v1
• [eess.SY]Data-Driven Strategies for Hierarchical Predictive Control in Unknown Environments
Charlott Vallon, Francesco Borrelli
http://arxiv.org/abs/2105.06005v1
• [math
a42
.OC]Good and Bad Optimization Models: Insights from Rockafellians
Johannes O. Royset
http://arxiv.org/abs/2105.06073v1
• [math.NA]HiDeNN-PGD: reduced-order hierarchical deep learning neural networks
Lei Zhang, Ye Lu, Shaoqiang Tang, Wing Kam Liu
http://arxiv.org/abs/2105.06363v1
• [math.OC]A new perspective on low-rank optimization
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
http://arxiv.org/abs/2105.05947v1
• [math.ST]A new characterization of discrete decomposable models
Eliana Duarte, Liam Solus
http://arxiv.org/abs/2105.05907v1
• [math.ST]An integral equation for the identification of causal effects in nonlinear models
Wing Hung Wong
http://arxiv.org/abs/2105.05299v1
• [math.ST]An irregularly spaced first-order moving average model
Cesar Ojeda, Wilfredo Palma, Susana Eyheramendy, Felipe Elorrieta
http://arxiv.org/abs/2105.06395v1
• [math.ST]Asymptotic Properties of Penalized Spline Estimators in Concave Extended Linear Models: Rates of Convergence
Jianhua Z. Huang, Ya Su
http://arxiv.org/abs/2105.06367v1
• [math.ST]Characterizing Logarithmic Bregman Functions
Souvik Ray, Subrata Pal, Sumit Kumar Kar, Ayanendranath Basu
http://arxiv.org/abs/2105.05963v1
• [math.ST]Characterizing the Functional Density Power Divergence Class
Souvik Ray, Subrata Pal, Sumit Kumar Kar, Ayanendranath Basu
http://arxiv.org/abs/2105.06094v1
• [math.ST]Identity testing of reversible Markov chains
Sela Fried, Geoffrey Wolfer
http://arxiv.org/abs/2105.06347v1
• [q-bio.QM]A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data
Matteo Chieregato, Fabio Frangiamore, Mauro Morassi, Claudia Baresi, Stefania Nici, Chiara Bassetti, Claudio Bnà, Marco Galelli
http://arxiv.org/abs/2105.06141v1
• [q-bio.QM]TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer
Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen
http://arxiv.org/abs/2105.06049v1
• [quant-ph]Detecting positive quantum capacities of quantum channels
Satvik Singh, Nilanjana Datta
http://arxiv.org/abs/2105.06327v1
• [quant-ph]Memory compression and thermal efficiency of quantum implementations of non-deterministic hidden Markov models
Thomas J. Elliott
http://arxiv.org/abs/2105.06285v1
• [quant-ph]One-shot inner bounds for sending private classical information over a quantum MAC
Sayantan Chakraborty, Aditya Nema, Pranab Sen
http://arxiv.org/abs/2105.06100v1
• [quant-ph]Second Law of Entanglement Dynamics for the Non-Asymptotic Regime
Mark M. Wilde
http://arxiv.org/abs/2105.05867v1
• [stat.AP]A Path Model to Infer Mathematics Performance: The Interrelated Impact of Motivation, Attitude, Learning Style and Teaching Strategies Variables
Marvin G. Pizon, Shiryl T. Ytoc
http://arxiv.org/abs/2105.05850v1
• [stat.ME]Autoregressive Optimal Transport Models
Changbo Zhu, Hans-Georg Müller
http://arxiv.org/abs/2105.05439v1
• [stat.ME]Calculating Expected Value of Sample Information Adjusting for Imperfect Implementation
Anna Heath
http://arxiv.org/abs/2105.05901v1
• [stat.ME]Generalizing a causal effect: sensitivity analysis and missing covariates
Bénédicte Colnet, Julie Josse, Erwan Scornet, Gaël Varoquaux
http://arxiv.org/abs/2105.06435v1
• [stat.ME]SCAU: Modeling spectral causality for multivariate time series with applications to electroencephalograms
Marco Antonio Pinto-Orellana, Peyman Mirtaheri, Hugo L. Hammer, Hernando Ombao
http://arxiv.org/abs/2105.06418v1
• [stat.ME]Threshold selection for wave heights: asymptotic methods based on L-moments
Jessica Silva Lomba, Maria Isabel Fraga Alves
http://arxiv.org/abs/2105.06142v1
• [stat.ME]Two-step method for assessing dissimilarity of random sets
Vesna Gotovac Đogaš, Kateřina Helisová, Bogdan Radović, Jakub Staněk, Markéta Zikmundová, Kateřina Brejchová
http://arxiv.org/abs/2105.05952v1
• [stat.ML]Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models
Babak Barazandeh, Ali Ghafelebashi, Meisam Razaviyayn, Ram Sriharsha
http://arxiv.org/abs/2105.05953v1
• [stat.ML]Joint Community Detection and Rotational Synchronization via Semidefinite Programming
Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
http://arxiv.org/abs/2105.06031v1
• [stat.OT]Perspective on Data Science
Roger D. Peng, Hilary S. Parker
http://arxiv.org/abs/2105.06324v1
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