归档 - 今日学术视野(2021.6.18) - 《爱可可老师分享》

cond-mat.stat-mech - 统计数学
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.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.DS - 数据结构与算法
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
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.SP - 信号处理
hep-ph - 高能物理现象学
math.DS - 动力系统
math.OC - 优化与控制
math.ST - 统计理论
physics.ao-ph - 大气和海洋物理
physics.comp-ph - 计算物理学
q-bio.PE - 人口与发展
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习

• [cond-mat.stat-mech]Nonequilibrium thermodynamics of self-supervised learning
• [cs.AI]AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction
• [cs.AI]An Intelligent Question Answering System based on Power Knowledge Graph
• [cs.AI]Benchmark dataset of memes with text transcriptions for automatic detection of multi-modal misogynistic content
• [cs.AI]Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL
• [cs.AI]Faster than LASER — Towards Stream Reasoning with Deep Neural Networks
• [cs.AI]Grounding Spatio-Temporal Language with Transformers
• [cs.AI]Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning
• [cs.AI]Optimizing Graph Transformer Networks with Graph-based Techniques
• [cs.AI]Rinascimento: searching the behaviour space of Splendor
• [cs.AI]The Difficulty of Novelty Detection in Open-World Physical Domains: An Application to Angry Birds
• [cs.AI]Unsupervised Lexical Acquisition of Relative Spatial Concepts Using Spoken User Utterances
• [cs.CL]Alternated Training with Synthetic and Authentic Data for Neural Machine Translation
• [cs.CL]Alzheimer’s Disease Detection from Spontaneous Speech through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models
• [cs.CL]Attention-Based Keyword Localisation in Speech using Visual Grounding
• [cs.CL]Collaborative Training of Acoustic Encoders for Speech Recognition
• [cs.CL]Coreference Augmentation for Multi-Domain Task-Oriented Dialogue State Tracking
• [cs.CL]Coreference-Aware Dialogue Summarization
• [cs.CL]Do Acoustic Word Embeddings Capture Phonological Similarity? An Empirical Study
• [cs.CL]Domain-independent User Simulation with Transformers for Task-oriented Dialogue Systems
• [cs.CL]Eider: Evidence-enhanced Document-level Relation Extraction
• [cs.CL]End-to-End Spoken Language Understanding for Generalized Voice Assistants
• [cs.CL]Evaluating Gender Bias in Hindi-English Machine Translation
• [cs.CL]From Discourse to Narrative: Knowledge Projection for Event Relation Extraction
• [cs.CL]Generative Conversational Networks
• [cs.CL]Improving Entity Linking through Semantic Reinforced Entity Embeddings
• [cs.CL]Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
• [cs.CL]On the long-term learning ability of LSTM LMs
• [cs.CL]On the proper role of linguistically-oriented deep net analysis in linguistic theorizing
• [cs.CL]Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training
• [cs.CL]PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System
• [cs.CL]Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation
• [cs.CL]RyanSpeech: A Corpus for Conversational Text-to-Speech Synthesis
• [cs.CL]SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model
• [cs.CL]Semantic sentence similarity: size does not always matter
• [cs.CL]Topic Classification on Spoken Documents Using Deep Acoustic and Linguistic Features
• [cs.CL]Unsupervised Enrichment of Persona-grounded Dialog with Background Stories
• [cs.CL]What Context Features Can Transformer Language Models Use?
• [cs.CR]Detecting message modification attacks on the CAN bus with Temporal Convolutional Networks
• [cs.CR]Multivariate Public Key Cryptosystem from Sidon Spaces
• [cs.CV]2nd Place Solution for Waymo Open Dataset Challenge — Real-time 2D Object Detection
• [cs.CV]Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning
• [cs.CV]Anomaly Detection in Video Sequences: A Benchmark and Computational Model
• [cs.CV]CMF: Cascaded Multi-model Fusion for Referring Image Segmentation
• [cs.CV]Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis
• [cs.CV]Compound Frechet Inception Distance for Quality Assessment of GAN Created Images
• [cs.CV]Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification
• [cs.CV]Demographic Fairness in Face Identification: The Watchlist Imbalance Effect
• [cs.CV]Detection of Morphed Face Images Using Discriminative Wavelet Sub-bands
• [cs.CV]Differentiable Diffusion for Dense Depth Estimation from Multi-view Images
• [cs.CV]Disentangling Semantic-to-visual Confusion for Zero-shot Learning
• [cs.CV]Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classification
• [cs.CV]Dynamically Grown Generative Adversarial Networks
• [cs.CV]ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning
• [cs.CV]EdgeConv with Attention Module for Monocular Depth Estimation
• [cs.CV]End-to-End Semi-Supervised Object Detection with Soft Teacher
• [cs.CV]Evolving Image Compositions for Feature Representation Learning
• [cs.CV]Explaining decision of model from its prediction
• [cs.CV]FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation
• [cs.CV]Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching
• [cs.CV]ICDAR 2021 Competition on Components Segmentation Task of Document Photos
• [cs.CV]Invertible Attention
• [cs.CV]JRDB-Act: A Large-scale Multi-modal Dataset for Spatio-temporal Action, Social Group and Activity Detection
• [cs.CV]Learning Implicit Glyph Shape Representation
• [cs.CV]Learning to Disentangle GAN Fingerprint for Fake Image Attribution
• [cs.CV]Metamorphic image registration using a semi-Lagrangian scheme
• [cs.CV]Multi-Resolution Continuous Normalizing Flows
• [cs.CV]Multi-scale Neural ODEs for 3D Medical Image Registration
• [cs.CV]PatchNet: Unsupervised Object Discovery based on Patch Embedding
• [cs.CV]Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective
• [cs.CV]Robustness of Object Detectors in Degrading Weather Conditions
• [cs.CV]Scene Transformer: A unified multi-task model for behavior prediction and planning
• [cs.CV]Seeing Through Clouds in Satellite Images
• [cs.CV]Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
• [cs.CV]Shuffle Transformer with Feature Alignment for Video Face Parsing
• [cs.CV]SiamAPN++: Siamese Attentional Aggregation Network for Real-Time UAV Tracking
• [cs.CV]Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation
• [cs.CV]Structure First Detail Next: Image Inpainting with Pyramid Generator
• [cs.CV]Structured DropConnect for Uncertainty Inference in Image Classification
• [cs.CV]Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions
• [cs.CV]Temporal Convolution Networks with Positional Encoding for Evoked Expression Estimation
• [cs.CV]TextStyleBrush: Transfer of Text Aesthetics from a Single Example
• [cs.CV]The Oxford Road Boundaries Dataset
• [cs.CV]Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions
• [cs.CV]Toward Robotic Weed Control: Detection of Nutsedge Weed in Bermudagrass Turf Using Inaccurate and Insufficient Training Data
• [cs.CV]Understanding and Evaluating Racial Biases in Image Captioning
• [cs.CV]Unsupervised Person Re-identification via Multi-Label Prediction and Classification based on Graph-Structural Insight
• [cs.CV]Unsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networks
• [cs.CV]Watching Too Much Television is Good: Self-Supervised Audio-Visual Representation Learning from Movies and TV Shows
• [cs.CV]X-MAN: Explaining multiple sources of anomalies in video
• [cs.CY]Benefits, Challenges and Contributors to Success for National eHealth Systems Implementation: A Scoping Review
• [cs.CY]Infodemics on Youtube: Reliability of Content and Echo Chambers on COVID-19
• [cs.DC]A Survey on Fault-tolerance in Distributed Optimization and Machine Learning
• [cs.DC]Don’t Count on One to Carry the Ball: Scaling BFT without Sacrifing Efficiency
• [cs.DC]Enabling Sustainable Clouds: The Case for Virtualizing the Energy System
• [cs.DC]High Performance and Optimal Configuration of Accurate Heterogeneous Block-Based Approximate Adder
• [cs.DC]Memory Leak Detection Algorithms in the Cloud-bas
8000
ed Infrastructure
• [cs.DC]Ookami: Deployment and Initial Experiences
• [cs.DC]ShortcutFusion: From Tensorflow to FPGA-based accelerator with reuse-aware memory allocation for shortcut data
• [cs.DC]Velos: One-sided Paxos for RDMA applications
• [cs.DL]Universal and specific features of Ukrainian economic research: publication analysis based on Crossref data
• [cs.DS]Clustering Mixture Models in Almost-Linear Time via List-Decodable Mean Estimation
• [cs.DS]Correlation Clustering in Constant Many Parallel Rounds
• [cs.HC]Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence
• [cs.IR]A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections
• [cs.IR]Analysing Dense Passage Retrieval for Multi-hop Question Answering
• [cs.IR]Exploiting Sentence-Level Representations for Passage Ranking
• [cs.IR]FAIR: Fairness-Aware Information Retrieval Evaluation
• [cs.IR]Personalized News Recommendation: A Survey
• [cs.IR]TSSuBERT: Tweet Stream Summarization Using BERT
• [cs.IT]Concatenated Reed-Solomon and Polarization-Adjusted Convolutional (PAC) Codes
• [cs.IT]Federated Learning over Energy Harvesting Wireless Networks
• [cs.IT]Low-Rank Parity-Check Codes Over Finite Commutative Rings and Application to Cryptography
• [cs.IT]On the Fragile Rates of Linear Feedback Coding Schemes of Gaussian Channels with Memory
• [cs.IT]Opportunistic Relaying in Multicasting over Generalized Shadowed Fading Channels: A PHY Security Analysis
• [cs.IT]Optimal Water-Filling Algorithm in Downlink Multi-Cluster NOMA Systems
• [cs.IT]Power Minimization of Downlink Spectrum Slicing for eMBB and URLLC Users
• [cs.IT]STAR-RIS Enabled Heterogeneous Networks: Ubiquitous NOMA Communication and Pervasive Federated Learning
• [cs.LG] $今日学术视野(2021.6.18) - 图1$ : Compositional Counterfactual Constrastive Learning for Video-grounded Dialogues
• [cs.LG]A Dataset-Level Geometric Framework for Ensemble Classifiers
• [cs.LG]Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization
• [cs.LG]Adaptive Visibility Graph Neural Network and its Application in Modulation Classification
• [cs.LG]Adversarial Attacks on Deep Models for Financial Transaction Records
• [cs.LG]Algorithm to Compilation Codesign: An Integrated View of Neural Network Sparsity
• [cs.LG]Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
• [cs.LG]An unifying point of view on expressive power of GNNs
• [cs.LG]Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation
• [cs.LG]Automating Augmentation Through Random Unidimensional Search
• [cs.LG]Banker Online Mirror Descent
• [cs.LG]Best of both worlds: local and global explanations with human-understandable concepts
• [cs.LG]Beyond Tikhonov: Faster Learning with Self-Concordant Losses via Iterative Regularization
• [cs.LG]Bridge Networks
• [cs.LG]Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
• [cs.LG]CODA: Constructivism Learning for Instance-Dependent Dropout Architecture Construction
• [cs.LG]Circa: Stochastic ReLUs for Private Deep Learning
• [cs.LG]Comparison of Automated Machine Learning Tools for SMS Spam Message Filtering
• [cs.LG]Comparison of Outlier Detection Techniques for Structured Data
• [cs.LG]Costs and Benefits of Wasserstein Fair Regression
• [cs.LG]Data Augmentation for Graph Convolutional Network on Semi-Supervised Classification
• [cs.LG]Developing a Fidelity Evaluation Approach for Interpretable Machine Learning
• [cs.LG]Development of Quantized DNN Library for Exact Hardware Emulation
• [cs.LG]Discrete Auto-regressive Variational Attention Models for Text Modeling
• [cs.LG]Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages
• [cs.LG]Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
• [cs.LG]Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression
• [cs.LG]Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation
• [cs.LG]Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks
• [cs.LG]Fundamental Limits of Reinforcement Learning in Environment with Endogeneous and Exogeneous Uncertainty
• [cs.LG]Gradient-trained Weights in Wide Neural Networks Align Layerwise to Error-scaled Input Correlations
• [cs.LG]HELP: Hardware-Adaptive Efficient Latency Predictor for NAS via Meta-Learning
• [cs.LG]How memory architecture affects performance and learning in simple POMDPs
• [cs.LG]Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path
• [cs.LG]Input Invex Neural Network
• [cs.LG]Knowledge-Adaptation Priors
• [cs.LG]Learning-based Support Estimation in Sublinear Time
• [cs.LG]Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression
• [cs.LG]Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints
• [cs.LG]Mining Interpretable Spatio-temporal Logic Properties for Spatially Distributed Systems
• [cs.LG]Model-Based Counterfactual Synthesizer for Interpretation
• [cs.LG]Multi-Class Classification from Single-Class Data with Confidences
• [cs.LG]Multilinear Dirichlet Processes
• [cs.LG]Non-PSD Matrix Sketching with Applications to Regression and Optimization
• [cs.LG]Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals
• [cs.LG]Offline RL Without Off-Policy Evaluation
• [cs.LG]On the Objective Evaluation of Post Hoc Explainers
• [cs.LG]On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control
• [cs.LG]Online Learning with Uncertain Feedback Graphs
• [cs.LG]Optimal Accounting of Differential Privacy via Characteristic Function
• [cs.LG]ParticleAugment: Sampling-Based Data Augmentation
• [cs.LG]Predicting Unreliable Predictions by Shattering a Neural Network
• [cs.LG]Predicting crop yields with little ground truth: A simple statistical model for in-season forecasting
• [cs.LG]Predictive Modeling of Hospital Readmission: Challenges and Solutions
• [cs.LG]Probabilistic DAG Search
• [cs.LG]Real-time Attacks Against Deep Reinforcement Learning Policies
• [cs.LG]Recursive Construction of Stable Assemblies of Recurrent Neural Networks
• [cs.LG]Reinforcement Learning for Markovian Bandits: Is Posterior Sampling more Scalable than Optimism?
• [cs.LG]Robust Reinforcement Learning Under Minimax Regret for Green Security
• [cs.LG]Robust Training in High Dimensions via Block Coordinate Geometric Median Descent
• [cs.LG]SEEN: Sharpening Explanations for Graph Neural Networks using Explanations from Neighborhoods
• [cs.LG]Self-supervised GANs with Label Augmentation
• [cs.LG]Simultaneous Training of Partially Masked Neural Networks
• [cs.LG]Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
• [cs.LG]Solving Continuous Control with Episodic Memory
• [cs.LG]Spoofing Generalization: When Can’t You Trust Proprietary Models?
• [cs.LG]TSO: Curriculum Generation using continuous optimization
• [cs.LG]Thompson Sampling for Unimodal Bandits
• [cs.LG]To Raise or Not To Raise: The Autonomous Learning Rate Question
• [cs.LG]Topology Distillation for Recommender System
• [cs.LG]Towards Adversarial Robustness via Transductive Learning
• [cs.LG]Towards Automatic Actor-Critic Solutions to Continuous Control
• [cs.LG]Unbiased Methods for Multi-Goal Reinforcement Learning
• [cs.NE]A Predictive Coding Account for Chaotic Itinerancy
• [cs.NE]A Spiking Neural Network for Image Segmentation
• [cs.NE]Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components
• [cs.NI]Modeling and Accomplishing the BEREC Network Neutrality Policy
• [cs.RO]A Multi-Layered Approach for Measuring the Simulation-to-Reality Gap of Radar Perception for Autonomous Driving
• [cs.RO]Autonomous Navigation System for a Delivery Drone
• [cs.RO]Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation with Therapists and Post-Stroke Survivors
• [cs.RO]GKNet: grasp keypoint network for grasp candidates detection
• [cs.RO]GelSight Wedge: Measuring High-Resolution 3D Contact Geometry with a Compact Robot Finger
• [cs.RO]Imitation and Mirror Systems in Robots through Deep Modality Blending Networks
• [cs.RO]Latent Representation in Human-Robot Interaction with Explicit Consideration of Periodic Dynamics
• [cs.RO]Optical Tactile Sim-to-Real Policy Transfer via Real-to-Sim Tactile Image Translation
• [cs.RO]Plane and Sample: Maximizing Information about Autonomous Vehicle Performance using Submodular Optimization
• [cs.SD]Drum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat Tracking
• [cs.SD]Source Separation-based Data Augmentation for Improved Joint Beat and Downbeat Tracking
• [cs.SD]Voicy: Zero-Shot Non-Parallel Voice Conversion in Noisy Reverberant Environments
• [cs.SE]Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors
• [cs.SE]Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors
• [cs.SE]Memorization and Generalization in Neural Code Intelligence Models
• [cs.SI]A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment Analysis Methods
• [cs.SI]COVID-19 Vaccines: Characterizing Misinformation Campaigns and Vaccine Hesitancy on Twitter
• [cs.SI]Counterfactual Graphs for Explainable Classification of Brain Networks
• [cs.SI]Do peers share the same criteria for assessing grant applications?
• [cs.SI]Quality-Quantity Trade-offs in Tests for Management of COVID-19-like Epidemics
• [cs.SI]Unraveling the Temporal Importance of Community-scale Human Activity Features for Rapid Assessment of Flood Impacts
• [eess.AS]Ctrl-P: Temporal Control of Prosodic Variation for Speech Synthesis
• [eess.AS]Global Rhythm Style Transfer Without Text Transcriptions
• [eess.AS]Improving the expressiveness of neural vocoding with non-affine Normalizing Flows
• [eess.AS]Momentum Pseudo-Labeling for Semi-Supervised Speech Recognition
• [eess.IV]AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs
• [eess.IV]Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video Coding
• [eess.IV]Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis
• [eess.IV]Over-and-Under Complete Convolutional RNN for MRI Reconstruction
• [eess.IV]Silent Speech and Emotion Recognition from Vocal Tract Shape Dynamics in Real-Time MRI
• [eess.IV]Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation
• [eess.SP]Exponential Approximation of Band-limited Signals from Nonuniform Sampling
• [eess.SP]Over-the-Air Equalization with Reconfigurable Intelligent Surfaces
• [hep-ph]Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States
• [math.DS]Lorenz System State Stability Identification using Neural Networks
• [math.OC]Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
• [math.ST]Asymptotic Behavior of Common Connections in Sparse Random Networks
• [math.ST]Central limit theorem for kernel estimator of invariant density in bifurcating Markov chains models
• [math.ST]Localized Conformal Prediction: A Generalized Inference Framework for Conformal Prediction
• [physics.ao-ph]Towards Optimally Weighted Physics-Informed Neural Networks in Ocean Modelling
• [physics.comp-ph]Covariance-based smoothed particle hydrodynamics. A machine-learning application to simulating disc fragmentation
• [q-bio.PE]Epidemic modelling of multiple virus strains: a case study of SARS-CoV-2 B.1.1.7 in Moscow
• [stat.AP]Estimating timber volume loss due to storm damage in Carinthia, Austria, using ALS/TLS and spatial regression models
• [stat.ME]Four Skewed Tensor Distributions
• [stat.ME]Multi-sample estimation of centered log-ratio matrix in microbiome studies
• [stat.ME]Optimal sampling for design-based estimators of regression models
• [stat.ME]Projective Resampling Imputation Mean Estimation Method for Missing Covariates Problem
• [stat.ME]Skilled Mutual Fund Selection: False Discovery Control under Dependence
• [stat.ML]Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints
• [stat.ML]Directed Graph Embeddings in Pseudo-Riemannian Manifolds
• [stat.ML]KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support
• [stat.ML]Locality defeats the curse of dimensionality in convolutional teacher-student scenarios
• [stat.ML]Reproducing Kernel Hilbert Space, Mercer’s Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey
• [stat.ML]Scalable Quasi-Bayesian Inference for Instrumental Variable Regression
• [stat.ML]Silhouettes and quasi residual plots for neural nets and tree-based classifiers
• [stat.ML]mSHAP: SHAP Values for Two-Part Models

·····································

• [cond-mat.stat-mech]Nonequilibrium thermodynamics of self-supervised learning
Domingos S. P. Salazar
http://arxiv.org/abs/2106.08981v1

• [cs.AI]AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction
Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He
http://arxiv.org/abs/2106.08732v1

• [cs.AI]An Intelligent Question Answering System based on Power Knowledge Graph
Yachen Tang, Haiyun Han, Xianmao Yu, Jing Zhao, Guangyi Liu, Longfei Wei
http://arxiv.org/abs/2106.09013v1

• [cs.AI]Benchmark dataset of memes with text transcriptions for automatic detection of multi-modal misogynistic content
Francesca Gasparini, Giulia Rizzi, Aurora Saibene, Elisabetta Fersini
http://arxiv.org/abs/2106.08409v1

• [cs.AI]Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL
Ricardo Ferreira, Carolina Lopes, Ricardo Gonçalves, Matthias Knorr, Ludwig Krippahl, João Leite
http://arxiv.org/abs/2106.08452v1

• [cs.AI]Faster than LASER — Towards Stream Reasoning with Deep Neural Networks
João Ferreira, Diogo Lavado, Ricardo Gonçalves, Matthias Knorr, Ludwig Krippahl, João Leite
http://arxiv.org/abs/2106.08457v1

• [cs.AI]Grounding Spatio-Temporal Language with Transformers
Tristan Karch, Laetitia Teodorescu, Katja Hofmann, Clément Moulin-Frier, Pierre-Yves Oudeyer
http://arxiv.org/abs/2106.08858v1

• [cs.AI]Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning
Varun Kumar Vijay, Hassam Sheikh, Somdeb Majumdar, Mariano Phielipp
http://arxiv.org/abs/2106.08482v1

• [cs.AI]Optimizing Graph Transformer Networks with Graph-based Techniques
Loc Hoang, Udit Agarwal, Gurbinder Gill, Roshan Dathathri, Abhik Seal, Brian Martin, Keshav Pingali
http://arxiv.org/abs/2106.08500v1

• [cs.AI]Rinascimento: searching the behaviour space of Splendor
Ivan Bravi, Simon Lucas
http://arxiv.org/abs/2106.08371v1

• [cs.AI]The Difficulty of Novelty Detection in Open-World Physical Domains: An Application to Angry Birds
Vimukthini Pinto, Cheng Xue, Chathura Nagoda Gamage, Jochen Renz
http://arxiv.org/abs/2106.08670v1

• [cs.AI]Unsupervised Lexical Acquisition of Relative Spatial Concepts Using Spoken User Utterances
Rikunari Sagara, Ryo Taguchi, Akira Taniguchi, Tadahiro Taniguchi, Koosuke Hattori, Masahiro Hoguro, Taizo Umezaki
http://arxiv.org/abs/2106.08574v1

• [cs.CL]Alternated Training with Synthetic and Authentic Data for Neural Machine Translation
Rui Jiao, Zonghan Yang, Maosong Sun, Yang Liu
http://arxiv.org/abs/2106.08582v1

• [cs.CL]Alzheimer’s Disease Detection from Spontaneous Speech through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models
Yu Qiao, Xuefeng Yin, Daniel Wiechmann, Elma Kerz
http://arxiv.org/abs/2106.08689v1

• [cs.CL]Attention-Based Keyword Localisation in Speech using Visual Grounding
Kayode Olaleye, Herman Kamper
http://arxiv.org/abs/2106.08859v1

• [cs.CL]Collaborative Training of Acoustic Encoders for Speech Recognition
Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra
http://arxiv.org/abs/2106.08960v1

• [cs.CL]Coreference Augmentation for Multi-Domain Task-Oriented Dialogue State Tracking
Ting Han, Chongxuan Huang, Wei Peng
http://arxiv.org/abs/2106.08723v1

• [cs.CL]Coreference-Aware Dialogue Summarization
Zhengyuan Liu, Ke Shi, Nancy F. Chen
http://arxiv.org/abs/2106.08556v1

• [cs.CL]Do Acoustic Word Embeddings Capture Phonological Similarity? An Empirical Study
Badr M. Abdullah, Marius Mosbach, Iuliia Zaitova, Bernd Möbius, Dietrich Klakow
http://arxiv.org/abs/2106.08686v1

• [cs.CL]Domain-independent User Simulation with Transformers for Task-oriented Dialogue Systems
Hsien-chin Lin, Nurul Lubis, Songbo Hu, Carel van Niekerk, Christian Geishauser, Michael Heck, Shutong Feng, Milica Gašić
http://arxiv.org/abs/2106.08838v1

• [cs.CL]Eider: Evidence-enhanced Document-level Relation Extraction
Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han
http://arxiv.org/abs/2106.08657v1

• [cs.CL]End-to-End Spoken Language Understanding for Generalized Voice Assistants
Michael Saxon, Samridhi Choudhary, Joseph P. McKenna, Athanasios Mouchtaris
http://arxiv.org/abs/2106.09009v1

• [cs.CL]Evaluating Gender Bias in Hindi-English Machine Translation
Gauri Gupta, Krithika Ramesh, Sanjay Singh
http://arxiv.org/abs/2106.08680v1

• [cs.CL]From Discourse to Narrative: Knowledge Projection for Event Relation Extraction
Jialong Tang, Hongyu Lin, Meng Liao, Yaojie Lu, Xianpei Han, Le Sun, Weijian Xie, Jin Xu
http://arxiv.org/abs/2106.08629v1

• [cs.CL]Generative Conversational Networks
Alexandros Papangelis, Karthik Gopalakrishnan, Aishwarya Padmakumar, Seokhwan Kim, Gokhan Tur, Dilek Hakkani-Tur
http://arxiv.org/abs/2106.08484v1

• [cs.CL]Improving Entity Linking through Semantic Reinforced Entity Embeddings
Feng Hou, Ruili Wang, Jun He, Yi Zhou
http://arxiv.org/abs/2106.08495v1

• [cs.CL]Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin, Tuo Zhao
http://arxiv.org/abs/2106.08977v1

• [cs.CL]On the long-term learning ability of LSTM LMs
Wim Boes, Robbe Van Rompaey, Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq
http://arxiv.org/abs/2106.08927v1

• [cs.CL]On the proper role of linguistically-oriented deep net analysis in linguistic theorizing
Marco Baroni
http://arxiv.org/abs/2106.08694v1

• [cs.CL]Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training
Li-Ming Zhan, Haowen Liang, Bo Liu, Lu Fan, Xiao-Ming Wu, Albert Y. S. Lam
http://arxiv.org/abs/2106.08616v1

• [cs.CL]PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System
Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yefeng Zheng
http://arxiv.org/abs/2106.08801v1

• [cs.CL]Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation
Samuel Kiegeland, Julia Kreutzer
http://arxiv.org/abs/2106.08942v1

• [cs.CL]RyanSpeech: A Corpus for Conversational Text-to-Speech Synthesis
Rohola Zandie, Mohammad H. Mahoor, Julia Madsen, Eshrat S. Emamian
http://arxiv.org/abs/2106.08468v1

• [cs.CL]SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model
Zaijing Li, Fengxiao Tang, Tieyu Sun, Yusen Zhu, Ming Zhao
http://arxiv.org/abs/2106.08785v1

• [cs.CL]Semantic sentence similarity: size does not always matter
Danny Merkx, Stefan L. Frank, Mirjam Ernestus
http://arxiv.org/abs/2106.08648v1

• [cs.CL]Topic Classification on Spoken Documents Using Deep Acoustic and Linguistic Features
Tan Liu, Wu Guo, Bin Gu
http://arxiv.org/abs/2106.08637v1

• [cs.CL]Unsupervised Enrichment of Persona-grounded Dialog with Background Stories
Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian McAuley, Harsh Jhamtani
http://arxiv.org/abs/2106.08364v1

• [cs.CL]What Context Features Can Transformer Language Models Use?
Joe O’Connor, Jacob Andreas
http://arxiv.org/abs/2106.08367v1

• [cs.CR]Detecting message modification attacks on the CAN bus with Temporal Convolutional Networks
Irina Chiscop, András Gazdag, Joost Bosman, Gergely Biczók
http://arxiv.org/abs/2106.08692v1

• [cs.CR]Multivariate Public Key Cryptosystem from Sidon Spaces
Netanel Raviv, Ben Langton, Itzhak Tamo
http://arxiv.org/abs/2106.07785v2

• [cs.CV]2nd Place Solution for Waymo Open Dataset Challenge — Real-time 2D Object Detection
Yueming Zhang, Xiaolin Song, Bing Bai, Tengfei Xing, Chao Liu, Xin Gao, Zhihui Wang, Yawei Wen, Haojin Liao, Guoshan Zhang, Pengfei Xu
http://arxiv.org/abs/2106.08713v1

• [cs.CV]Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning
WeiQin Chuah, Ruwan Tennakoon, Alireza Bab-Hadiashar, David Suter
http://arxiv.org/abs/2106.08486v1

• [cs.CV]Anomaly Detection in Video Sequences: A Benchmark and Computational Model
Boyang Wan, Wenhui Jiang, Yuming Fang, Zhiyuan Luo, Guanqun Ding
http://arxiv.org/abs/2106.08570v1

• [cs.CV]CMF: Cascaded Multi-model Fusion for Referring Image Segmentation
Jianhua Yang, Yan Huang, Zhanyu Ma, Liang Wang
http://arxiv.org/abs/2106.08617v1

• [cs.CV]Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis
Shichong Peng, Alireza Moazeni, Ke Li
http://arxiv.org/abs/2106.09015v1

• [cs.CV]Compound Frechet Inception Distance for Quality Assessment of GAN Created Images
Eric J. Nunn, Pejman Khadivi, Shadrokh Samavi
http://arxiv.org/abs/2106.08575v1

• [cs.CV]Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification
Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Edouard Duchesnay
http://arxiv.org/abs/2106.08808v1

• [cs.CV]Demographic Fairness in Face Identification: The Watchlist Imbalance Effect
Pawel Drozdowski, Christian Rathgeb, Christoph Busch
http://arxiv.org/abs/2106.08049v2

• [cs.CV]Detection of Morphed Face Images Using Discriminative Wavelet Sub-bands
Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi
http://arxiv.org/abs/2106.08565v1

• [cs.CV]Differentiable Diffusion for Dense Depth Estimation from Multi-view Images
Numair Khan, Min H. Kim, James Tompkin
http://arxiv.org/abs/2106.08917v1

• [cs.CV]Disentangling Semantic-to-visual Confusion for Zero-shot Learning
Zihan Ye, Fuyuan Hu, Fan Lyu, Linyan Li, Kaizhu Huang
http://arxiv.org/abs/2106.08605v1

• [cs.CV]Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classification
Zhipeng Luo, Xiaobing Zhang, Shijian Lu, Shuai Yi
http://arxiv.org/abs/2106.08590v1

• [cs.CV]Dynamically Grown Generative Adversarial Networks
Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto
http://arxiv.org/abs/2106.08505v1

• [cs.CV]ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning
Chaofan Chen, Xiaoshan Yang, Changsheng Xu, Xuhui Huang, Zhe Ma
http://arxiv.org/abs/2106.08523v1

• [cs.CV]EdgeConv with Attention Module for Monocular Depth Estimation
Minhyeok Lee, Sangwon Hwang, Chaewon Park, Sangyoun Lee
http://arxiv.org/abs/2106.08615v1

• [cs.CV]End-to-End Semi-Supervised Object Detection with Soft Teacher
Mengde Xu, Zheng Zhang, Han Hu, Jianfeng Wang, Lijuan Wang, Fangyun Wei, Xiang Bai, Zicheng Liu
http://arxiv.org/abs/2106.09018v1

• [cs.CV]Evolving Image Compositions for Feature Representation Learning
Paola Cascante-Bonil
5a60
la, Arshdeep Sekhon, Yanjun Qi, Vicente Ordonez
http://arxiv.org/abs/2106.09011v1

• [cs.CV]Explaining decision of model from its prediction
Dipesh Tamboli
http://arxiv.org/abs/2106.08366v1

• [cs.CV]FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation
Chaewon Park, MyeongAh Cho, Minhyeok Lee, Sangyoun Lee
http://arxiv.org/abs/2106.08613v1

• [cs.CV]Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching
Quande Liu, Hongzheng Yang, Qi Dou, Pheng-Ann Heng
http://arxiv.org/abs/2106.08600v1

• [cs.CV]ICDAR 2021 Competition on Components Segmentation Task of Document Photos
Celso A. M. Lopes Junior, Ricardo B. das Neves Junior, Byron L. D. Bezerra, Alejandro H. Toselli, Donato Impedovo
http://arxiv.org/abs/2106.08499v1

• [cs.CV]Invertible Attention
Jiajun Zha, Yiran Zhong, Jing Zhang, Liang Zheng, Richard Hartley
http://arxiv.org/abs/2106.09003v1

• [cs.CV]JRDB-Act: A Large-scale Multi-modal Dataset for Spatio-temporal Action, Social Group and Activity Detection
Mahsa Ehsanpour, Fatemeh Saleh, Silvio Savarese, Ian Reid, Hamid Rezatofighi
http://arxiv.org/abs/2106.08827v1

• [cs.CV]Learning Implicit Glyph Shape Representation
Ying-Tian Liu, Yuan-Chen Guo, Yi-Xiao Li, Chen Wang, Song-Hai Zhang
http://arxiv.org/abs/2106.08573v1

• [cs.CV]Learning to Disentangle GAN Fingerprint for Fake Image Attribution
Tianyun Yang, Juan Cao, Qiang Sheng, Lei Li, Jiaqi Ji, Xirong Li, Sheng Tang
http://arxiv.org/abs/2106.08749v1

• [cs.CV]Metamorphic image registration using a semi-Lagrangian scheme
Anton François, Pietro Gori, Joan Glaunès
http://arxiv.org/abs/2106.08817v1

• [cs.CV]Multi-Resolution Continuous Normalizing Flows
Vikram Voleti, Chris Finlay, Adam Oberman, Christopher Pal
http://arxiv.org/abs/2106.08462v1

• [cs.CV]Multi-scale Neural ODEs for 3D Medical Image Registration
Junshen Xu, Eric Z. Chen, Xiao Chen, Terrence Chen, Shanhui Sun
http://arxiv.org/abs/2106.08493v1

• [cs.CV]PatchNet: Unsupervised Object Discovery based on Patch Embedding
Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo, Patrick Bangert
http://arxiv.org/abs/2106.08599v1

• [cs.CV]Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective
Yueyu Hu, Wenhan Yang, Haofeng Huang, Jiaying Liu
http://arxiv.org/abs/2106.08512v1

• [cs.CV]Robustness of Object Detectors in Degrading Weather Conditions
Muhammad Jehanzeb Mirza, Cornelius Buerkle, Julio Jarquin, Michael Opitz, Fabian Oboril, Kay-Ulrich Scholl, Horst Bischof
http://arxiv.org/abs/2106.08795v1

• [cs.CV]Scene Transformer: A unified multi-task model for behavior prediction and planning
Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David Weiss, Ben Sapp, Zhifeng Chen, Jonathon Shlens
http://arxiv.org/abs/2106.08417v1

• [cs.CV]Seeing Through Clouds in Satellite Images
Mingmin Zhao, Peder A. Olsen, Ranveer Chandra
http://arxiv.org/abs/2106.08408v1

• [cs.CV]Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc Pollefeys
http://arxiv.org/abs/2106.08762v1

• [cs.CV]Shuffle Transformer with Feature Alignment for Video Face Parsing
Rui Zhang, Yang Han, Zilong Huang, Pei Cheng, Guozhong Luo, Gang Yu, Bin Fu
http://arxiv.org/abs/2106.08650v1

• [cs.CV]SiamAPN++: Siamese Attentional Aggregation Network for Real-Time UAV Tracking
Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li
http://arxiv.org/abs/2106.08816v1

• [cs.CV]Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation
Yahui Liu, Enver Sangineto, Yajing Chen, Linchao Bao, Haoxian Zhang, Nicu Sebe, Bruno Lepri, Wei Wang, Marco De Nadai
http://arxiv.org/abs/2106.09016v1

• [cs.CV]Structure First Detail Next: Image Inpainting with Pyramid Generator
Shuyi Qu, Zhenxing Niu, Kaizhu Huang, Jianke Zhu, Matan Protter, Gadi Zimerman, Yinghui Xu
http://arxiv.org/abs/2106.08905v1

• [cs.CV]Structured DropConnect for Uncertainty Inference in Image Classification
Wenqing Zheng, Jiyang Xie, Weidong Liu, Zhanyu Ma
http://arxiv.org/abs/2106.08624v1

• [cs.CV]Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions
Sangmin Woo, Junhyug Noh, Kangil Kim
http://arxiv.org/abs/2106.08543v1

• [cs.CV]Temporal Convolution Networks with Positional Encoding for Evoked Expression Estimation
VanThong Huynh, Guee-Sang Lee, Hyung-Jeong Yang, Soo-Huyng Kim
http://arxiv.org/abs/2106.08596v1

• [cs.CV]TextStyleBrush: Transfer of Text Aesthetics from a Single Example
Praveen Krishnan, Rama Kovvuri, Guan Pang, Boris Vassilev, Tal Hassner
http://arxiv.org/abs/2106.08385v1

• [cs.CV]The Oxford Road Boundaries Dataset
Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman
http://arxiv.org/abs/2106.08983v1

• [cs.CV]Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions
Luke Guerdan, Alex Raymond, Hatice Gunes
http://arxiv.org/abs/2106.08761v1

• [cs.CV]Toward Robotic Weed Control: Detection of Nutsedge Weed in Bermudagrass Turf Using Inaccurate and Insufficient Training Data
Shuangyu Xie, Chengsong Hu, Muthukumar Bagavathiannan, Dezhen Song
http://arxiv.org/abs/2106.08897v1

• [cs.CV]Understanding and Evaluating Racial Biases in Image Captioning
Dora Zhao, Angelina Wang, Olga Russakovsky
http://arxiv.org/abs/2106.08503v1

• [cs.CV]Unsupervised Person Re-identification via Multi-Label Prediction and Classification based on Graph-Structural Insight
Jongmin Yu, Hyeontaek Oh
http://arxiv.org/abs/2106.08798v1

• [cs.CV]Unsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networks
Hidetoshi Matsuo, Mizuho Nishio, Munenobu Nogami, Feibi Zeng, Takako Kurimoto, Sandeep Kaushik, Florian Wiesinger, Atsushi K Kono, Takamichi Murakami
http://arxiv.org/abs/2106.08557v1

• [cs.CV]Watching Too Much Television is Good: Self-Supervised Audio-Visual Representation Learning from Movies and TV Shows
Mahdi M. Kalayeh, Nagendra Kamath, Lingyi Liu, Ashok Chandrashekar
http://arxiv.org/abs/2106.08513v1

• [cs.CV]X-MAN: Explaining multiple sources of anomalies in video
Stanislaw Szymanowicz, James Charles, Roberto Cipolla
http://arxiv.org/abs/2106.08856v1

• [cs.CY]Benefits, Challenges and Contributors to Success for National eHealth Systems Implementation: A Scoping Review
James Scheibner, Marcello Ienca, Joanna Sleigh, Effy Vayena
http://arxiv.org/abs/2106.08737v1

• [cs.CY]Infodemics on Youtube: Reliability of Content and Echo Chambers on COVID-19
Niccolò Di Marco, Matteo Cinelli, Walter Quattrociocchi
http://arxiv.org/abs/2106.08684v1

• [cs.DC]A Survey on Fault-tolerance in Distributed Optimization and Machine Learning
Shuo Liu
http://arxiv.org/abs/2106.08545v1

• [cs.DC]Don’t Count on One to Carry the Ball: Scaling BFT without Sacrifing Efficiency
Kexin Hu, Kaiwen Guo, Qiang Tang, Zhenfeng Zhang, Hao Cheng, Zhiyang Zhao
http://arxiv.org/abs/2106.08114v2

• [cs.DC]Enabling Sustainable Clouds: The Case for Virtualizing the Energy System
Noman Bashir, Tian Guo, Mohammad Hajiesmaili, David Irwin, Prashant Shenoy, Ramesh Sitaraman, Abel Souza, Adam Wierman
http://arxiv.org/abs/2106.08872v1

• [cs.DC]High Performance and Optimal Configuration of Accurate Heterogeneous Block-Based Approximate Adder
Ebrahim Farahmand, Ali Mahani, Muhammad Abdullah Hanif, Muhammad Shafique
http://arxiv.org/abs/2106.08800v1

• [cs.DC]Memory Leak Detection Algorithms in the Cloud-bas
8000
ed Infrastructure
Anshul Jindal, Paul Staab, Pooja Kulkarni, Jorge Cardoso, Michael Gerndt, Vladimir Podolskiy
http://arxiv.org/abs/2106.08938v1

• [cs.DC]Ookami: Deployment and Initial Experiences
Andrew Burford, Alan C. Calder, David Carlson, Barbara Chapman, Firat CoŞKun, Tony Curtis, Catherine Feldman, Robert J. Harrison, Yan Kang, Benjamin Michalow-Icz, Eric Raut, Eva Siegmann, Daniel G. Wood, Robert L. Deleon, Mathew Jones, Nikolay A. Simakov, Joseph P. White, Dossay Oryspayev
http://arxiv.org/abs/2106.08987v1

• [cs.DC]ShortcutFusion: From Tensorflow to FPGA-based accelerator with reuse-aware memory allocation for shortcut data
Duy Thanh Nguyen, Hyeonseung Je, Tuan Nghia Nguyen, Soojung Ryu, Kyujung Lee, Hyuk-Jae Lee
http://arxiv.org/abs/2106.08167v2

• [cs.DC]Velos: One-sided Paxos for RDMA applications
Rachid Guerraoui, Antoine Murat, Athanasios Xygkis
http://arxiv.org/abs/2106.08676v1

• [cs.DL]Universal and specific features of Ukrainian economic research: publication analysis based on Crossref data
O. Mryglod, S. Nazarovets, S. Kozmenko
http://arxiv.org/abs/2106.08701v1

• [cs.DS]Clustering Mixture Models in Almost-Linear Time via List-Decodable Mean Estimation
Ilias Diakonikolas, Daniel M. Kane, Daniel Kongsgaard, Jerry Li, Kevin Tian
http://arxiv.org/abs/2106.08537v1

• [cs.DS]Correlation Clustering in Constant Many Parallel Rounds
Vincent Cohen-Addad, Silvio Lattanzi, Slobodan Mitrović, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski
http://arxiv.org/abs/2106.08448v1

• [cs.HC]Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence
Jacky Cao, Kit-Yung Lam, Lik-Hang Lee, Xiaoli Liu, Pan Hui, Xiang Su
http://arxiv.org/abs/2106.08710v1

• [cs.IR]A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections
Dimitris Pappas, Ion Androutsopoulos
http://arxiv.org/abs/2106.08908v1

• [cs.IR]Analysing Dense Passage Retrieval for Multi-hop Question Answering
Georgios Sidiropoulos, Nikos Voskarides, Svitlana Vakulenko, Evangelos Kanoulas
http://arxiv.org/abs/2106.08433v1

• [cs.IR]Exploiting Sentence-Level Representations for Passage Ranking
Jurek Leonhardt, Fabian Beringer, Avishek Anand
http://arxiv.org/abs/00
abs/2106.07316v1
abs/2106.07316v1)

• [cs.IR]FAIR: Fairness-Aware Information Retrieval Evaluation
Ruoyuan Gao, Yingqiang Ge, Chirag Shah
http://arxiv.org/abs/2106.08527v1

• [cs.IR]Personalized News Recommendation: A Survey
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
http://arxiv.org/abs/2106.08934v1

• [cs.IR]TSSuBERT: Tweet Stream Summarization Using BERT
Alexis Dusart, Karen Pinel-Sauvagnat, Gilles Hubert
http://arxiv.org/abs/2106.08770v1

• [cs.IT]Concatenated Reed-Solomon and Polarization-Adjusted Convolutional (PAC) Codes
Mohsen Moradi, Amir Mozammel
http://arxiv.org/abs/2106.08822v1

• [cs.IT]Federated Learning over Energy Harvesting Wireless Networks
Rami Hamdi, Mingzhe Chen, Ahmed Ben Said, Marwa Qaraqe, H. Vincent Poor
http://arxiv.org/abs/2106.08809v1

• [cs.IT]Low-Rank Parity-Check Codes Over Finite Commutative Rings and Application to Cryptography
Hermann Tchatchiem Kamche, Herve Tale Kalachi, Franck Rivel Kamwa Djomou, Emmanuel Fouotsa
http://arxiv.org/abs/2106.08712v1

• [cs.IT]On the Fragile Rates of Linear Feedback Coding Schemes of Gaussian Channels with Memory
Charalambos D. Charalambous, Christos Kourtellaris, Themistoklis Charalambous
http://arxiv.org/abs/2106.08610v1

• [cs.IT]Opportunistic Relaying in Multicasting over Generalized Shadowed Fading Channels: A PHY Security Analysis
S. M. S. Shahriyer, A. S. M. Badrudduza, S. Shabab, M. K. Kundu
http://arxiv.org/abs/2106.08810v1

• [cs.IT]Optimal Water-Filling Algorithm in Downlink Multi-Cluster NOMA Systems
Sepehr Rezvani, Eduard A. Jorswieck
http://arxiv.org/abs/2106.08636v1

• [cs.IT]Power Minimization of Downlink Spectrum Slicing for eMBB and URLLC Users
Fabio Saggese, Marco Moretti, Petar Popovski
http://arxiv.org/abs/2106.08847v1

• [cs.IT]STAR-RIS Enabled Heterogeneous Networks: Ubiquitous NOMA Communication and Pervasive Federated Learning
Wanli Ni, Yuanwei Liu, Yonina C. Eldar, Zhaohui Yang, Hui Tian
http://arxiv.org/abs/2106.08592v1

• [cs.LG] $今日学术视野(2021.6.18) - 图2$ : Compositional Counterfactual Constrastive Learning for Video-grounded Dialogues
Hung Le, Nancy F. Chen, Steven C. H. Hoi
http://arxiv.org/abs/2106.08914v1

• [cs.LG]A Dataset-Level Geometric Framework for Ensemble Classifiers
Shengli Wu, Weimin Ding
http://arxiv.org/abs/2106.08658v1

• [cs.LG]Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization
Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco
http://arxiv.org/abs/2106.08598v1

• [cs.LG]Adaptive Visibility Graph Neural Network and its Application in Modulation Classification
Qi Xuan, Kunfeng Qiu, Jinchao Zhou, Zhuangzhi Chen, Dongwei Xu, Shilian Zheng, Xiaoniu Yang
http://arxiv.org/abs/2106.08564v1

• [cs.LG]Adversarial Attacks on Deep Models for Financial Transaction Records
Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev
http://arxiv.org/abs/2106.08361v1

• [cs.LG]Algorithm to Compilation Codesign: An Integrated View of Neural Network Sparsity
Fu-Ming Guo, Austin Huang
http://arxiv.org/abs/2106.08846v1

• [cs.LG]Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
Xingyuan Sun, Tianju Xue, Szymon M. Rusinkiewicz, Ryan P. Adams
http://arxiv.org/abs/2106.09019v1

• [cs.LG]An unifying point of view on expressive power of GNNs
Giuseppe Alessio D’Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli
http://arxiv.org/abs/2106.08992v1

• [cs.LG]Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation
Martin Gottwald, Sven Gronauer, Hao Shen, Klaus Diepold
http://arxiv.org/abs/2106.08774v1

• [cs.LG]Automating Augmentation Through Random Unidimensional Search
Xiaomeng Dong, Michael Potter, Gaurav Kumar, Yun-Chan Tsai, V. Ratna Saripalli
http://arxiv.org/abs/2106.08756v1

• [cs.LG]Banker Online Mirror Descent
Jiatai Huang, Longbo Huang
http://arxiv.org/abs/2106.08943v1

• [cs.LG]Best of both worlds: local and global explanations with human-understandable concepts
Jessica Schrouff, Sebastien Baur, Shaobo Hou, Diana Mincu, Eric Loreaux, Ralph Blanes, James Wexler, Alan Karthikesalingam, Been Kim
http://arxiv.org/abs/2106.08641v1

• [cs.LG]Beyond Tikhonov: Faster Learning with Self-Concordant Losses via Iterative Regularization
Gaspard Beugnot, Julien Mairal, Alessandro Rudi
http://arxiv.org/abs/2106.08855v1

• [cs.LG]Bridge Networks
Wilkie Olin-Ammentorp, Maxim Bazhenov
http://arxiv.org/abs/2106.08446v1

• [cs.LG]Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
Haoxiang Wang, Han Zhao, Bo Li
http://arxiv.org/abs/2106.09017v1

• [cs.LG]CODA: Constructivism Learning for Instance-Dependent Dropout Architecture Construction
Xiaoli Li
http://arxiv.org/abs/2106.08444v1

• [cs.LG]Circa: Stochastic ReLUs for Private Deep Learning
Zahra Ghodsi, Nandan Kumar Jha, Brandon Reagen, Siddharth Garg
http://arxiv.org/abs/2106.08475v1

• [cs.LG]Comparison of Automated Machine Learning Tools for SMS Spam Message Filtering
Waddah Saeed
http://arxiv.org/abs/2106.08671v1

• [cs.LG]Comparison of Outlier Detection Techniques for Structured Data
Amulya Agarwal, Nitin Gupta
http://arxiv.org/abs/2106.08779v1

• [cs.LG]Costs and Benefits of Wasserstein Fair Regression
Han Zhao
http://arxiv.org/abs/2106.08812v1

• [cs.LG]Data Augmentation for Graph Convolutional Network on Semi-Supervised Classification
Zhengzheng Tang, Ziyue Qiao, Xuehai Hong, Yang Wang, Fayaz Ali Dharejo, Yuanchun Zhou, Yi Du
http://arxiv.org/abs/2106.08848v1

• [cs.LG]Developing a Fidelity Evaluation Approach for Interpretable Machine Learning
Mythreyi Velmurugan, Chun Ouyang, Catarina Moreira, Renuka Sindhgatta
http://arxiv.org/abs/2106.08492v1

• [cs.LG]Development of Quantized DNN Library for Exact Hardware Emulation
Masato Kiyama, Motoki Amagasaki, Masahiro Iida
http://arxiv.org/abs/2106.08892v1

• [cs.LG]Discrete Auto-regressive Variational Attention Models for Text Modeling
Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael Lyu, Irwin King
http://arxiv.org/abs/2106.08571v1

• [cs.LG]Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages
Yi Luo, Aiguo Chen, Ke Yan, Ling Tian
http://arxiv.org/abs/2106.08541v1

• [cs.LG]Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
Gaurav Menghani
http://arxiv.org/abs/2106.08962v1

• [cs.LG]Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression
Sheng Lin, Wei Jiang, Wei Wang, Kaidi Xu, Yanzhi Wang, Shan Liu, Songnan Li
http://arxiv.org/abs/2106.08301v2

• [cs.LG]Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation
Srinadh Bhojanapalli, Ayan Chakrabarti, Himanshu Jain, Sanjiv Kumar, Michal Lukasik, Andreas Veit
http://arxiv.org/abs/2106.08823v1

• [cs.LG]Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks
Meng Liu, Cong Fu, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji
http://arxiv.org/abs/2106.08551v1

• [cs.LG]Fundamental Limits of Reinforcement Learning in Environment with Endogeneous and Exogeneous Uncertainty
Rongpeng Li
http://arxiv.org/abs/2106.08477v1

• [cs.LG]Gradient-trained Weights in Wide Neural Networks Align Layerwise to Error-scaled Input Correlations
Akhilan Boopathy, Ila Fiete
http://arxiv.org/abs/2106.08453v1

• [cs.LG]HELP: Hardware-Adaptive Efficient Latency Predictor for NAS via Meta-Learning
Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang
http://arxiv.org/abs/2106.08630v1

• [cs.LG]How memory architecture affects performance and learning in simple POMDPs
Mario Geiger, Christophe Eloy, Matthieu Wyart
http://arxiv.org/abs/2106.08849v1

• [cs.LG]Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path
Liyu Chen, Mehdi Jafarnia-Jahromi, Rahul Jain, Haipeng Luo
http://arxiv.org/abs/2106.08377v1

• [cs.LG]Input Invex Neural Network
Suman Sapkota, Binod Bhattarai
http://arxiv.org/abs/2106.08748v1

• [cs.LG]Knowledge-Adaptation Priors
Mohammad Emtiyaz Khan, Siddharth Swaroop
http://arxiv.org/abs/2106.08769v1

• [cs.LG]Learning-based Support Estimation in Sublinear Time
Talya Eden, Piotr Indyk, Shyam Narayanan, Ronitt Rubinfeld, Sandeep Silwal, Tal Wagner
http://arxiv.org/abs/2106.08396v1

• [cs.LG]Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression
Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting
http://arxiv.org/abs/2106.08687v1

• [cs.LG]Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints
David Garcia-Soriano, Francesco Bonchi
http://arxiv.org/abs/2106.08652v1

• [cs.LG]Mining Interpretable Spatio-temporal Logic Properties for Spatially Distributed Systems
Sara Mohammadinejad, Jyotirmy V. Deshmukh, Laura Nenzi
http://arxiv.org/abs/2106.08548v1

• [cs.LG]Model-Based Counterfactual Synthesizer for Interpretation
Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu
http://arxiv.org/abs/2106.08971v1

• [cs.LG]Multi-Class Classification from Single-Class Data with Confidences
Yuzhou Cao, Lei Feng, Senlin Shu, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
http://arxiv.org/abs/2106.08864v1

• [cs.LG]Multilinear Dirichlet Processes
Xiaoli Li
http://arxiv.org/abs/2106.08852v1

• [cs.LG]Non-PSD Matrix Sketching with Applications to Regression and Optimization
Zhili Feng, Fred Roosta, David P. Woodruff
http://arxiv.org/abs/2106.08544v1

• [cs.LG]Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals
Junhui Cai, Xu Han, Ya’acov Ritov, Linda Zhao
http://arxiv.org/abs/2106.08881v1

• [cs.LG]Offline RL Without Off-Policy Evaluation
David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna
http://arxiv.org/abs/2106.08909v1

• [cs.LG]On the Objective Evaluation of Post Hoc Explainers
Zachariah Carmichael, Walter J. Scheirer
http://arxiv.org/abs/2106.08376v1

• [cs.LG]On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control
Amrit Singh Bedi, Anjaly Parayil, Junyu Zhang, Mengdi Wang, Alec Koppel
http://arxiv.org/abs/2106.08414v1

• [cs.LG]Online Learning with Uncertain Feedback Graphs
Pouya M Ghari, Yanning Shen
http://arxiv.org/abs/2106.08441v1

• [cs.LG]Optimal Accounting of Differential Privacy via Characteristic Function
Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang
http://arxiv.org/abs/2106.08567v1

• [cs.LG]ParticleAugment: Sampling-Based Data Augmentation
Alexander Tsaregorodtsev, Vasileios Belagiannis
http://arxiv.org/abs/2106.08693v1

• [cs.LG]Predicting Unreliable Predictions by Shattering a Neural Network
Xu Ji, Razvan Pascanu, Devon Hjelm, Andrea Vedaldi, Balaji Lakshminarayanan, Yoshua Bengio
http://arxiv.org/abs/2106.08365v1

• [cs.LG]Predicting crop yields with little ground truth: A simple statistical model for in-season forecasting
Nemo Semret
http://arxiv.org/abs/2106.08720v1

• [cs.LG]Predictive Modeling of Hospital Readmission: Challenges and Solutions
Shuwen Wang, Xingquan Zhu
http://arxiv.org/abs/2106.08488v1

• [cs.LG]Probabilistic DAG Search
Julia Grosse, Cheng Zhang, Philipp Hennig
http://arxiv.org/abs/2106.08717v1

• [cs.LG]Real-time Attacks Against Deep Reinforcement Learning Policies
Buse G. A. Tekgul, Shelly Wang, Samuel Marchal, N. Asokan
http://arxiv.org/abs/2106.08746v1

• [cs.LG]Recursive Construction of Stable Assemblies of Recurrent Neural Networks
Michaela Ennis, Leo Kozachkov, Jean-Jacques Slotine
http://arxiv.org/abs/2106.08928v1

• [cs.LG]Reinforcement Learning for Markovian Bandits: Is Posterior Sampling more Scalable than Optimism?
Nicolas Gast, Bruno Gaujal, Kimang Khun
http://arxiv.org/abs/2106.08771v1

• [cs.LG]Robust Reinforcement Learning Under Minimax Regret for Green Security
Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe
http://arxiv.org/abs/2106.08413v1

• [cs.LG]Robust Training in High Dimensions via Block Coordinate Geometric Median Descent
Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu
http://arxiv.org/abs/2106.08882v1

• [cs.LG]SEEN: Sharpening Explanations for Graph Neural Networks using Explanations from Neighborhoods
Hyeoncheol Cho, Youngrock Oh, Eunjoo Jeon
http://arxiv.org/abs/2106.08532v1

• [cs.LG]Self-supervised GANs with Label Augmentation
Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng
http://arxiv.org/abs/2106.08601v1

• [cs.LG]Simultaneous Training of Partially Masked Neural Networks
Amirkeivan Mohtashami, Martin Jaggi, Sebastian U. Stich
http://arxiv.org/abs/2106.08895v1

• [cs.LG]Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
Hossein Souri, Micah Goldblum, Liam Fowl, Rama Chellappa, Tom Goldstein
http://arxiv.org/abs/2106.08970v1

• [cs.LG]Solving Continuous Control with Episodic Memory
Igor Kuznetsov, Andrey Filchenkov
http://arxiv.org/abs/2106.08832v1

• [cs.LG]Spoofing Generalization: When Can’t You Trust Proprietary Models?
Ankur Moitra, Elchanan Mossel, Colin Sandon
http://arxiv.org/abs/2106.08393v1

• [cs.LG]TSO: Curriculum Generation using continuous optimization
Dipankar Sarkar, Mukur Gupta
http://arxiv.org/abs/2106.08569v1

• [cs.LG]Thompson Sampling for Unimodal Bandits
Long Yang, Zhao Li, Zehong Hu, Shasha Ruan, Shijian Li, Gang Pan, Hongyang Chen
http://arxiv.org/abs/2106.08187v2

• [cs.LG]To Raise or Not To Raise: The Autonomous Learning Rate Question
Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli
http://arxiv.org/abs/2106.08767v1

• [cs.LG]Topology Distillation for Recommender System
SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
http://arxiv.org/abs/2106.08700v1

• [cs.LG]Towards Adversarial Robustness via Transductive Learning
Jiefeng Chen, Yang Guo, Xi Wu, Tianqi Li, Qicheng Lao, Yingyu Liang, Somesh Jha
http://arxiv.org/abs/2106.08387v1

• [cs.LG]Towards Automatic Actor-Critic Solutions to Continuous Control
Jake Grigsby, Jin Yong Yoo, Yanjun Qi
http://arxiv.org/abs/2106.08918v1

• [cs.LG]Unbiased Methods for Multi-Goal Reinforcement Learning
Léonard Blier, Yann Ollivier
http://arxiv.org/abs/2106.08863v1

• [cs.NE]A Predictive Coding Account for Chaotic Itinerancy
Louis Annabi, Alexandre Pitti, Mathias Quoy
http://arxiv.org/abs/2106.08937v1

• [cs.NE]A Spiking Neural Network for Image Segmentation
Kinjal Patel, Eric Hunsberger, Sean Batir, Chris Eliasmith
http://arxiv.org/abs/2106.08921v1

• [cs.NE]Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components
Unai Garciarena, Roberto Santana, Alexander Mendiburu
http://arxiv.org/abs/2106.08972v1

• [cs.NI]Modeling and Accomplishing the BEREC Network Neutrality Policy
David S. Barreto, Rafael F. Reale, Joberto S. B. Martins
http://arxiv.org/abs/2106.08729v1

• [cs.RO]A Multi-Layered Approach for Measuring the Simulation-to-Reality Gap of Radar Perception for Autonomous Driving
Anthony Ngo, Max Paul Bauer, Michael Resch
http://arxiv.org/abs/2106.08372v1

• [cs.RO]Autonomous Navigation System for a Delivery Drone
Victor R. F. Miranda, Adriano M. C. Rezende, Thiago L. Rocha, Héctor Azpúrua, Luciano C. A. Pimenta, Gustavo M. Freitas
http://arxiv.org/abs/2106.08878v1

• [cs.RO]Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation with Therapists and Post-Stroke Survivors
Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia
http://arxiv.org/abs/2106.08458v1

• [cs.RO]GKNet: grasp keypoint network for grasp candidates detection
Ruinian Xu, Fu-Jen Chu, Patricio A. Vela
http://arxiv.org/abs/2106.08497v1

• [cs.RO]GelSight Wedge: Measuring High-Resolution 3D Contact Geometry with a Compact Robot Finger
Shaoxiong Wang, Yu She, Branden Romero, Edward Adelson
http://arxiv.org/abs/2106.08851v1

• [cs.RO]Imitation and Mirror Systems in Robots through Deep Modality Blending Networks
M. Y. Seker, A. Ahmetoglu, Y. Nagai, M. Asada, E. Oztop, E. Ugur
http://arxiv.org/abs/2106.08422v1

• [cs.RO]Latent Representation in Human-Robot Interaction with Explicit Consideration of Periodic Dynamics
Taisuke Kobayashi, Shingo Murata, Tetsunari Inamura
http://arxiv.org/abs/2106.08531v1

• [cs.RO]Optical Tactile Sim-to-Real Policy Transfer via Real-to-Sim Tactile Image Translation
Alex Church, John Lloyd, Raia Hadsell, Nathan F. Lepora
http://arxiv.org/abs/2106.08796v1

• [cs.RO]Plane and Sample: Maximizing Information about Autonomous Vehicle Performance using Submodular Optimization
Anne Collin, Amitai Y. Bin-Nun, Radboud Duintjer Tebbens
http://arxiv.org/abs/2106.08389v1

• [cs.SD]Drum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat Tracking
Ching-Yu Chiu, Alvin Wen-Yu Su, Yi-Hsuan Yang
http://arxiv.org/abs/2106.08685v1

• [cs.SD]Source Separation-based Data Augmentation for Improved Joint Beat and Downbeat Tracking
Ching-Yu Chiu, Joann Ching, Wen-Yi Hsiao, Yu-Hua Chen, Alvin Wen-Yu Su, Yi-Hsuan Yang
http://arxiv.org/abs/2106.08703v1

• [cs.SD]Voicy: Zero-Shot Non-Parallel Voice Conversion in Noisy Reverberant Environments
Alejandro Mottini, Jaime Lorenzo-Trueba, Sri Vishnu Kumar Karlapati, Thomas Drugman
http://arxiv.org/abs/2106.08873v1

• [cs.SE]Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors
Junayed Mahmud, Fahim Faisal, Raihan Islam Arnob, Antonios Anastasopoulos, Kevin Moran
http://arxiv.org/abs/2106.08415v1

• [cs.SE]Memorization and Generalization in Neural Code Intelligence Models
Md Rafiqul Islam Rabin, Aftab Hussain, Vincent J. Hellendoorn, Mohammad Amin Alipour
http://arxiv.org/abs/2106.08704v1

• [cs.SI]A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment Analysis Methods
Gullal S. Cheema, Sherzod Hakimov, Eric Müller-Budack, Ralph Ewerth
http://arxiv.org/abs/2106.08829v1

• [cs.SI]COVID-19 Vaccines: Characterizing Misinformation Campaigns and Vaccine Hesitancy on Twitter
Karishma Sharma, Yizhou Zhang, Yan Liu
http://arxiv.org/abs/2106.08423v1

• [cs.SI]Counterfactual Graphs for Explainable Classification of Brain Networks
Carlo Abrate, Francesco Bonchi
http://arxiv.org/abs/2106.08640v1

• [cs.SI]Do peers share the same criteria for assessing grant applications?
Sven E. Hug, Michael Ochsner
http://arxiv.org/abs/2106.07386v1

• [cs.SI]Quality-Quantity Trade-offs in Tests for Management of COVID-19-like Epidemics
Harish Sasikumar, Manoj Varma
http://arxiv.org/abs/2106.08591v1

• [cs.SI]Unraveling the Temporal Importance of Community-scale Human Activity Features for Rapid Assessment of Flood Impacts
Fax Yuan, Yang Yang, Qingchun Li, Ali Mostafavi
http://arxiv.org/abs/2106.08370v1

• [eess.AS]Ctrl-P: Temporal Control of Prosodic Variation for Speech Synthesis
Devang S Ram Mohan, Vivian Hu, Tian Huey Teh, Alexandra Torresquintero, Christopher G. R. Wallis, Marlene Staib, Lorenzo Foglianti, Jiameng Gao, Simon King
http://arxiv.org/abs/2106.08352v1

• [eess.AS]Global Rhythm Style Transfer Without Text Transcriptions
Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David Cox, Mark Hasegawa-Johnson
http://arxiv.org/abs/2106.08519v1

• [eess.AS]Improving the expressiveness of neural vocoding with non-affine Normalizing Flows
Adam Gabryś, Yunlong Jiao, Viacheslav Klimkov, Daniel Korzekwa, Roberto Barra-Chicote
http://arxiv.org/abs/2106.08649v1

• [eess.AS]Momentum Pseudo-Labeling for Semi-Supervised Speech Recognition
Yosuke Higuchi, Niko Moritz, Jonathan Le Roux, Takaaki Hori
http://arxiv.org/abs/2106.08922v1

• [eess.IV]AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs
Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang
http://arxiv.org/abs/2106.08727v1

• [eess.IV]Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video Coding
Luka Murn, Saverio Blasi, Alan F. Smeaton, Marta Mrak
http://arxiv.org/abs/2106.08936v1

• [eess.IV]Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis
Maximilian Dietrich, Silvia Seidlitz, Nicholas Schreck, Manuel Wiesenfarth, Patrick Godau, Minu Tizabi, Jan Sellner, Sebastian Marx, Samuel Knödler, Michael M. Allers, Leonardo Ayala, Karsten Schmidt, Thorsten Brenner, Alexander Studier-Fischer, Felix Nickel, Beat P. Müller-Stich, Annette Kopp-Schneider, Markus A. Weigand, Lena Maier-Hein
http://arxiv.org/abs/2106.08445v1

• [eess.IV]Over-and-Under Complete Convolutional RNN for MRI Reconstruction
Pengfei Guo, Jeya Maria Jose Valanarasu, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel
http://arxiv.org/abs/2106.08886v1

• [eess.IV]Silent Speech and Emotion Recognition from Vocal Tract Shape Dynamics in Real-Time MRI
Laxmi Pandey, Ahmed Sabbir Arif
http://arxiv.org/abs/2106.08706v1

• [eess.IV]Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation
Fuping Wu, Xiahai Zhuang
http://arxiv.org/abs/2106.08752v1

• [eess.SP]Exponential Approximation of Band-limited Signals from Nonuniform Sampling
Yunfei Yang, Haizhang Zhang
http://arxiv.org/abs/2106.08647v1

• [eess.SP]Over-the-Air Equalization with Reconfigurable Intelligent Surfaces
Emre Arslan, Ibrahim Yildirim, Fatih Kilinc, Ertugrul Basar
http://arxiv.org/abs/2106.07996v1

• [hep-ph]Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States
Jack Y. Araz, Michael Spannowsky
http://arxiv.org/abs/2106.08334v1

• [math.DS]Lorenz System State Stability Identification using Neural Networks
Megha Subramanian, Ramakrishna Tipireddy, Samrat Chatterjee
http://arxiv.org/abs/2106.08489v1

• [math.OC]Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Jason M. Altschuler, Sinho Chewi, Patrik Gerber, Austin J. Stromme
http://arxiv.org/abs/2106.08502v1

• [math.ST]Asymptotic Behavior of Common Connections in Sparse Random Networks
Bikramjit Das, Tiandong Wang, Gengling Dai
http://arxiv.org/abs/2106.08472v1

• [math.ST]Central limit theorem for kernel estimator of invariant density in bifurcating Markov chains models
S. Valère Bitseki Penda, Jean-François Delmas
http://arxiv.org/abs/2106.08626v1

• [math.ST]Localized Conformal Prediction: A Generalized Inference Framework for Conformal Prediction
Leying Guan
http://arxiv.org/abs/2106.08460v1

• [physics.ao-ph]Towards Optimally Weighted Physics-Informed Neural Networks in Ocean Modelling
Taco de Wolff, Hugo Carrillo, Luis Martí, Nayat Sanchez-Pi
http://arxiv.org/abs/2106.08747v1

• [physics.comp-ph]Covariance-based smoothed particle hydrodynamics. A machine-learning application to simulating disc fragmentation
Eraldo Pereira Marinho
http://arxiv.org/abs/2106.08870v1

• [q-bio.PE]Epidemic modelling of multiple virus strains: a case study of SARS-CoV-2 B.1.1.7 in Moscow
Boris Tseytlin, Ilya Makarov
http://arxiv.org/abs/2106.08048v2

• [stat.AP]Estimating timber volume loss due to storm damage in Carinthia, Austria, using ALS/TLS and spatial regression models
Arne Nothdurft, Christoph Gollob, Ralf Kraßnitzer, Gernot Erber, Tim Ritter, Karl Stampfer, Andrew O. Finley
http://arxiv.org/abs/2106.08912v1

• [stat.ME]Four Skewed Tensor Distributions
Michael P. B. Gallaugher, Peter A. Tait, Paul D. McNicholas
http://arxiv.org/abs/2106.08984v1

• [stat.ME]Multi-sample estimation of centered log-ratio matrix in microbiome studies
Yezheng Li, Hongzhe Li, Yuanpei Cao
http://arxiv.org/abs/2106.08360v1

• [stat.ME]Optimal sampling for design-based estimators of regression models
Tong Chen, Thomas Lumley
http://arxiv.org/abs/2106.08530v1

• [stat.ME]Projective Resampling Imputation Mean Estimation Method for Missing Covariates Problem
Zishu Zhan, Xiangjie Li, Jingxiao Zhang
http://arxiv.org/abs/2106.08540v1

• [stat.ME]Skilled Mutual Fund Selection: False Discovery Control under Dependence
Lijia Wang, Xu Han, Xin Tong
http://arxiv.org/abs/2106.08511v1

• [stat.ML]Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints
Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
http://arxiv.org/abs/2106.08597v1

• [stat.ML]Directed Graph Embeddings in Pseudo-Riemannian Manifolds
Aaron Sim, Maciej Wiatrak, Angus Brayne, Páidí Creed, Saee Paliwal
http://arxiv.org/abs/2106.08678v1

• [stat.ML]KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support
Pierre Glaser, Michael Arbel, Arthur Gretton
http://arxiv.org/abs/2106.08929v1

• [stat.ML]Locality defeats the curse of dimensionality in convolutional teacher-student scenarios
Alessandro Favero, Francesco Cagnetta, Matthieu Wyart
http://arxiv.org/abs/2106.08619v1

• [stat.ML]Reproducing Kernel Hilbert Space, Mercer’s Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
http://arxiv.org/abs/2106.08443v1

• [stat.ML]Scalable Quasi-Bayesian Inference for Instrumental Variable Regression
Ziyu Wang, Yuhao Zhou, Tongzheng Ren, Jun Zhu
http://arxiv.org/abs/2106.08750v1

• [stat.ML]Silhouettes and quasi residual plots for neural nets and tree-based classifiers
Jakob Raymaekers, Peter J. Rousseeuw
http://arxiv.org/abs/2106.08814v1

• [stat.ML]mSHAP: SHAP Values for Two-Part Models
Spencer Matthews, Brian Hartman
http://arxiv.org/abs/2106.08990v1