cond-mat.mtrl-sci - 材料科学
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.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.SI - 社交网络与信息网络
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
physics.soc-ph - 物理学与社会
q-bio.MN - 分子网络
q-bio.NC - 神经元与认知
q-fin.RM - 风险管理
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
• [cond-mat.mtrl-sci]Five Degree-of-Freedom Property Interpolation of Arbitrary Grain Boundaries via Voronoi Fundamental Zone Octonion Framework
• [cs.AI]An Introduction of mini-AlphaStar
• [cs.AI]Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning
• [cs.AI]Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability
• [cs.AI]Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads
• [cs.AI]To Trust or Not to Trust a Regressor: Estimating and Explaining Trustworthiness of Regression Predictions
• [cs.AI]Towards Time-Optimal Any-Angle Path Planning With Dynamic Obstacles
• [cs.AI]Towards a framework for evaluating the safety, acceptability and efficacy of AI systems for health: an initial synthesis
• [cs.AI]Towards an Interpretable Data-driven Trigger System for High-throughput Physics Facilities
• [cs.CL]”I’m Not Mad”: Commonsense Implications of Negation and Contradiction
• [cs.CL]A Weakly Supervised Model for Solving Math word Problems
• [cs.CL]AR-LSAT: Investigating Analytical Reasoning of Text
• [cs.CL]An Update to the Minho Quotation Resource
• [cs.CL]Ask what’s missing and what’s useful: Improving Clarification Question Generation using Global Knowledge
• [cs.CL]Can a Transformer Pass the Wug Test? Tuning Copying Bias in Neural Morphological Inflection Models
• [cs.CL]Cross-geographic Bias Detection in Toxicity Modeling
• [cs.CL]Dependency Parsing based Semantic Representation Learning with Graph Neural Network for Enhancing Expressiveness of Text-to-Speech
• [cs.CL]Developing a Conversational Recommendation System for Navigating Limited Options
• [cs.CL]Distributed Word Representation in Tsetlin Machine
• [cs.CL]Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey
• [cs.CL]Evaluation of Unsupervised Entity and Event Salience Estimation
• [cs.CL]Event Detection as Question Answering with Entity Information
• [cs.CL]From Solving a Problem Boldly to Cutting the Gordian Knot: Idiomatic Text Generation
• [cs.CL]I Wish I Would Have Loved This One, But I Didn’t — A Multilingual Dataset for Counterfactual Detection in Product Reviews
• [cs.CL]IGA : An Intent-Guided Authoring Assistant
• [cs.CL]Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention
• [cs.CL]K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce
• [cs.CL]Knowledge-driven Answer Generation for Conversational Search
• [cs.CL]Large-Scale Contextualised Language Modelling for Norwegian
• [cs.CL]Large-Scale Self- and Semi-Supervised Learning for Speech Translation
• [cs.CL]Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
• [cs.CL]MS2: Multi-Document Summarization of Medical Studies
• [cs.CL]Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
• [cs.CL]Modeling Framing in Immigration Discourse on Social Media
• [cs.CL]NAREOR: The Narrative Reordering Problem
• [cs.CL]Natural-Language Multi-Agent Simulations of Argumentative Opinion Dynamics
• [cs.CL]On the interpretation and significance of bias metrics in texts: a PMI-based approach
• [cs.CL]Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation
• [cs.CL]Sentence Embeddings by Ensemble Distillation
• [cs.CL]Should Semantic Vector Composition be Explicit? Can it be Linear
• [cs.CL]Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation
• [cs.CL]Sparse Attention with Linear Units
• [cs.CL]TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning
• [cs.CL]The Curious Case of Hallucinations in Neural Machine Translation
• [cs.CL]The Surprising Performance of Simple Baselines for Misinformation Detection
• [cs.CL]Towards BERT-based Automatic ICD Coding: Limitations and Opportunities
• [cs.CL]Translating synthetic natural language to database queries: a polyglot deep learning framework
• [cs.CL]UPB at SemEval-2021 Task 1: Combining Deep Learning and Hand-Crafted Features for Lexical Complexity Prediction
• [cs.CL]Zero-Resource Multi-Dialectal Arabic Natural Language Understanding
• [cs.CL]Zhestyatsky at SemEval-2021 Task 2: ReLU over Cosine Similarity for BERT Fine-tuning
• [cs.CL][RE] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
• [cs.CR]A Novel Malware Detection Mechanism based on Features Extracted from Converted Malware Binary Images
• [cs.CR]A Review of Anonymization for Healthcare Data
• [cs.CR]A multiagent based framework secured with layered SVM-based IDS for remote healthcare systems
• [cs.CR]Defening against Adversarial Denial-of-Service Attacks
• [cs.CR]Going dark? Analysing the impact of end-to-end encryption on the outcome of Dutch criminal court cases
• [cs.CV]A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell Using Contrastive Learning Strategy
• [cs.CV]A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees
• [cs.CV]A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases
• [cs.CV]ADNet: Temporal Anomaly Detection in Surveillance Videos
• [cs.CV]Aliasing is your Ally: End-to-End Super-Resolution from Raw Image Bursts
• [cs.CV]Aligning Latent and Image Spaces to Connect the Unconnectable
• [cs.CV]Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds
• [cs.CV]CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation based on CelebA
• [cs.CV]Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network
• [cs.CV]ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
• [cs.CV]Context-Dependent Anomaly Detection for Low Altitude Traffic Surveillance
• [cs.CV]Continual learning in cross-modal retrieval
• [cs.CV]Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection
• [cs.CV]DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
• [cs.CV]Decoupled Spatial-Temporal Transformer for Video Inpainting
• [cs.CV]Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point Clouds for Virtual Testing of Autonomous Driving
• [cs.CV]Deep Permutation Equivariant Structure from Motion
• [cs.CV]Dewarping Document Image By Displacement Flow Estimation with Fully Convolutional Network
• [cs.CV]Discrete Cosine Transform Network for Guided Depth Map Super-Resolution
• [cs.CV]Do Time Constraints Re-Prioritize Attention to Shapes During Visual Photo Inspection?
• [cs.CV]Domain Adaptive Monocular Depth Estimation With Semantic Information
• [cs.CV]Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing
• [cs.CV]Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations
• [cs.CV]Federated Generalized Face Presentation Attack Detection
• [cs.CV]Few-shot Image Generation via Cross-domain Correspondence
• [cs.CV]Global Information Guided Video Anomaly Detection
• [cs.CV]Graph-based Person Signature for Person Re-Identifications
• [cs.CV]Harmonious Semantic Line Detection via Maximal Weight Clique Selection
• [cs.CV]Holistic Guidance for Occluded Person Re-Identification
• [cs.CV]HoughNet: Integrating near and long-range evidence for visual detection
• [cs.CV]IQDet: Instance-wise Quality Distribution Sampling for Object Detection
• [cs.CV]Image Manipulation Detection by Multi-View Multi-Scale Supervision
• [cs.CV]In-field high throughput grapevine phenotyping with a consumer-grade depth camera
• [cs.CV]Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer
• [cs.CV]LEAP: Learning Articulated Occupancy of People
• [cs.CV]Learning Normal Dynamics in Videos with Meta Prototype Network
• [cs.CV]Learning Semantic Person Image Generation by Region-Adaptive Normalization
• [cs.CV]Machine-learned 3D Building Vectorization from Satellite Imagery
• [cs.CV]Meaningful Adversarial Stickers for Face Recognition in Physical World
• [cs.CV]Pose Recognition with Cascade Transformers
• [cs.CV]Representative Forgery Mining for Fake Face Detection
• [cs.CV]Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction
• [cs.CV]Revisiting Light Field Rendering with Deep Anti-Aliasing Neural Network
• [cs.CV]SPARK: SPAcecraft Recognition leveraging Knowledge of Space Environment
• [cs.CV]Simultaneous Face Hallucination and Translation for Thermal to Visible Face Verification using Axial-GAN
• [cs.CV]Single Image Depth Estimation: An Overview
• [cs.CV]Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
• [cs.CV]Temporally-Aware Feature Pooling for Action Spotting in Soccer Broadcasts
• [cs.CV]Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases
• [cs.CV]Towards NIR-VIS Masked Face Recognition
• [cs.CV]Towards Unsupervised Fine-Tuning for Edge Video Analytics
• [cs.CV]Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents
• [cs.CV]VOLDOR-SLAM: For the Times When Feature-Based or Direct Methods Are Not Good Enough
• [cs.CV]VOLDOR: Visual Odometry from Log-logistic Dense Optical flow Residuals
• [cs.CV]Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images
• [cs.CV]Weakly But Deeply Supervised Occlusion-Reasoned Parametric Layouts
• [cs.CV]Zero-Shot Instance Segmentation
• [cs.CY]A National Discovery Cloud: Preparing the US for Global Competitiveness in the New Era of 21st Century Digital Transformation
• [cs.CY]Impact of risk factors on work zone crashes using logistic models and Random Forest
• [cs.CY]Influenza Surveillance using Search Engine, SNS, On-line Shopping, Q&A Service and Past Flu Patients
• [cs.CY]Small World Model for scaling up prediction result based on SEIR model
• [cs.CY]Students Struggle to Explain Their Own Program Code
• [cs.DC]Blockchain Machine: A Network-Attached Hardware Accelerator for Hyperledger Fabric
• [cs.DC]Don’t Give Up on Large Optimization Problems; POP Them!
• [cs.DC]PAGANI: A Parallel Adaptive GPU Algorithm for Numerical
• [cs.HC]Consent Management Platforms under the GDPR: processors and/or controllers?
• [cs.IR]BERT Embeddings Can Track Context in Conversational Search
• [cs.IR]Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
• [cs.IR]Fatigued PageRank
• [cs.IT]-Polymatroids and Their Relation to Rank-Metric Codes
• [cs.IT]An Integrated Optimization-Learning Framework for Online Combinatorial Computation Offloading in MEC Networks
• [cs.IT]Dynamic Coded Caching in Wireless Networks Using Multi-Agent Reinforcement Learning
• [cs.IT]Error Floor Analysis of LDPC Row Layered Decoders
• [cs.IT]Generalized Simple Streaming Codes from MDS Codes
• [cs.IT]Large-scale IRS-aided MIMO over Double-scattering Channel: An Asymptotic Approach
• [cs.IT]Learning the CSI Denoising and Feedback Without Supervision
• [cs.IT]Mitigating Hand Blockage with Non-Directional Beamforming Codebooks
• [cs.IT]Noncatastrophic convolutional codes over a finite ring
• [cs.IT]On Generalized Expanded Blaum-Roth Codes
• [cs.IT]Optimal Downlink Training Sequence for Massive MIMO Secret-Key Generation
• [cs.IT]Optimal Rates of Teaching and Learning Under Uncertainty
• [cs.IT]Smaller Keys for Code-Based Cryptography: McEliece Cryptosystems with Convolutional Encoders
• [cs.IT]Stochastic geometry analysis of a distance-based JT scheme in C-RAN
• [cs.LG]-CLUE: Diverse Sets of Explanations for Uncertainty Estimates
• [cs.LG]A Hyperbolic-to-Hyperbolic Graph Convolutional Network
• [cs.LG]A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals
• [cs.LG]BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning
• [cs.LG]Can Active Learning Preemptively Mitigate Fairness Issues?
• [cs.LG]Deep Data Density Estimation through Donsker-Varadhan Representation
• [cs.LG]Detection of Dataset Shifts in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression
• [cs.LG]Device-Cloud Collaborative Learning for Recommendation
• [cs.LG]DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks
• [cs.LG]Do Neural Network Weights account for Classes Centers?
• [cs.LG]Eluder Dimension and Generalized Rank
• [cs.LG]GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback
• [cs.LG]Generative Causal Explanations for Graph Neural Networks
• [cs.LG]Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition
• [cs.LG]Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches
• [cs.LG]Joint Negative and Positive Learning for Noisy Labels
• [cs.LG]Learning Log-Determinant Divergences for Positive Definite Matrices
• [cs.LG]Model Learning with Personalized Interpretability Estimation (ML-PIE)
• [cs.LG]Multi-Party Dual Learning
• [cs.LG]Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution
• [cs.LG]Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference
• [cs.LG]Optimizing the Long-Term Average Reward for Continuing MDPs: A Technical Report
• [cs.LG]Process Outcome Prediction: CNN vs. LSTM (with Attention)
• [cs.LG]Quadratic GCN for Graph Classification
• [cs.LG]Reward function shape exploration in adversarial imitation learning: an empirical study
• [cs.LG]Safe Continuous Control with Constrained Model-Based Policy Optimization
• [cs.LG]Search to aggregate neighborhood for graph neural network
• [cs.LG]Short-term bus travel time prediction for transfer synchronization with intelligent uncertainty handling
• [cs.LG]Solving weakly supervised regression problem using low-rank manifold regularization
• [cs.LG]Subgoal-based Reward Shaping to Improve Efficiency in Reinforcement Learning
• [cs.LG]TASAC: Temporally Abstract Soft Actor-Critic for Continuous Control
• [cs.LG]Towards Causal Federated Learning For Enhanced Robustness and Privacy
• [cs.LG]Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework
• [cs.LG]WiFiNet: WiFi-based indoor localisation using CNNs
• [cs.NE]A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems
• [cs.NE]Lazy Parameter Tuning and Control: Choosing All Parameters Randomly From a Power-Law Distribution
• [cs.NE]When Non-Elitism Meets Time-Linkage Problems
• [cs.NI]Managing Cloud networking costs for data-intensive applications by provisioning dedicated network links
• [cs.RO]I Need Your Advice… Human Perceptions of Robot Moral Advising Behaviors
• [cs.RO]Look at my new blue force-sensing shoes!
• [cs.RO]On the Complexity of a Family of Decoupled Multi-Robot Motion Planning Problems
• [cs.RO]OneVision: Centralized to Distributed Controller Synthesis with Delay Compensation
• [cs.RO]Perception Entropy: A Metric for Multiple Sensors Configuration Evaluation and Design
• [cs.RO]RECON: Rapid Exploration for Open-World Navigation with Latent Goal Models
• [cs.RO]Reward Shaping with Subgoals for Social Navigation
• [cs.RO]Situational Confidence Assistance for Lifelong Shared Autonomy
• [cs.RO]The role of successful human-robot interaction on trust — Findings of an experiment with an autonomous cooperative robot
• [cs.RO]Trust and Safety
• [cs.SD]Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition
• [cs.SD]End-to-end Keyword Spotting using Neural Architecture Search and Quantization
• [cs.SD]Non-autoregressive sequence-to-sequence voice conversion
• [cs.SI]ABEM: An Adaptive Agent-based Evolutionary Approach for Mining Influencers in Online Social Networks
• [cs.SI]Automated Allocation of Detention Rooms Based on Inverse Graph Partitioning
• [cs.SI]Identity Inference on Blockchain using Graph Neural Network
• [cs.SI]Political Polarization in Online News Consumption
• [eess.IV]Learning to Jointly Deblur, Demosaick and Denoise Raw Images
• [eess.IV]VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers
• [eess.IV]ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration
• [eess.SP]Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges
• [eess.SY]Towards agrobots: Identification of the yaw dynamics and trajectory tracking of an autonomous tractor
• [math.NA]Learning Regularization Parameters of Inverse Problems via Deep Neural Networks
• [math.OC]Oracle Complexity in Nonsmooth Nonconvex Optimization
• [math.ST]Deep Nonparametric Regression on Approximately Low-dimensional Manifolds
• [math.ST]Uncertainty measures: The big picture
• [physics.soc-ph]Higher-order percolation processes on multiplex hypergraphs
• [physics.soc-ph]Influence of individual nodes for continuous-time Susceptible-Infected-Susceptible dynamics on synthetic and real-world networks
• [physics.soc-ph]Maximizing spreading in complex networks with risk in node activation
• [q-bio.MN]Inference of cell dynamics on perturbation data using adjoint sensitivity
• [q-bio.NC]Shared memories driven by the intrinsic memorability of items
• [q-fin.RM]Enabling Machine Learning Algorithms for Credit Scoring — Explainable Artificial Intelligence (XAI) methods for clear understanding complex
6920
predictive models
• [quant-ph]Fast quantum state reconstruction via accelerated non-convex programming
• [stat.AP]Computer Algebra in R with caracas
• [stat.ME]Dependent censoring based on copulas
• [stat.ME]Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap
• [stat.ME]Gaussian Process Model for Estimating Piecewise Continuous Regression Functions
• [stat.ME]On the implied weights of linear regression for causal inference
• [stat.ME]Post-selection Problems for Causal Inference with Invalid Instruments: A Solution Using Searching and Sampling
• [stat.ML]Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex Algorithms
• [stat.ML]Root-finding Approaches for Computing Conformal Prediction Set
• [stat.ML]Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels
·····································
• [cond-mat.mtrl-sci]Five Degree-of-Freedom Property Interpolation of Arbitrary Grain Boundaries via Voronoi Fundamental Zone Octonion Framework
Sterling G. Baird, Eric R. Homer, David T. Fullwood, Oliver K. Johnson
http://arxiv.org/abs/2104.06575v1
• [cs.AI]An Introduction of mini-AlphaStar
Ruo-Ze Liu, Wenhai Wang, Yanjie Shen, Zhiqi Li, Yang Yu, Tong Lu
http://arxiv.org/abs/2104.06890v1
• [cs.AI]Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning
Yuan Pu, Shaochen Wang, Rui Yang, Xin Yao, Bin Li
http://arxiv.org/abs/2104.06655v1
• [cs.AI]Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability
Xin Lv, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Yichi Zhang, Zelin Dai
http://arxiv.org/abs/2104.06751v1
• [cs.AI]Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads
Evangelos Georganas, Dhiraj Kalamkar, Sasikanth Avancha, Menachem Adelman, Cristina Anderson, Alexander Breuer, Narendra Chaudhary, Abhisek Kundu, Vasimuddin Md, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Barukh Ziv, Alexander Heinecke
http://arxiv.org/abs/2104.05755v2
• [cs.AI]To Trust or Not to Trust a Regressor: Estimating and Explaining Trustworthiness of Regression Predictions
Kim de Bie, Ana Lucic, Hinda Haned
http://arxiv.org/abs/2104.06982v1
• [cs.AI]Towards Time-Optimal Any-Angle Path Planning With Dynamic Obstacles
Konstantin Yakovlev, Anton Andreychuk
http://arxiv.org/abs/2104.06681v1
• [cs.AI]Towards a framework for evaluating the safety, acceptability and efficacy of AI systems for health: an initial synthesis
Jessica Morley, Caroline Morton, Kassandra Karpathakis, Mariarosaria Taddeo, Luciano Floridi
http://arxiv.org/abs/2104.06910v1
• [cs.AI]Towards an Interpretable Data-driven Trigger System for High-throughput Physics Facilities
Chinmaya Mahesh, Kristin Dona, David W. Miller, Yuxin Chen
http://arxiv.org/abs/2104.06622v1
• [cs.CL]“I’m Not Mad”: Commonsense Implications of Negation and Contradiction
Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi
http://arxiv.org/abs/2104.06511v1
• [cs.CL]A Weakly Supervised Model for Solving Math word Problems
Oishik Chatterjee, Aashish Waikar, Vishwajeet Kumar, Ganesh Ramakrishnan, Kavi Arya
http://arxiv.org/abs/2104.06722v1
• [cs.CL]AR-LSAT: Investigating Analytical Reasoning of Text
Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan
http://arxiv.org/abs/2104.06598v1
• [cs.CL]An Update to the Minho Quotation Resource
Brett Drury, Samuel Morais Drury
http://arxiv.org/abs/2104.06987v1
• [cs.CL]Ask what’s missing and what’s useful: Improving Clarification Question Generation using Global Knowledge
Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian McAuley
http://arxiv.org/abs/2104.06828v1
• [cs.CL]Can a Transformer Pass the Wug Test? Tuning Copying Bias in Neural Morphological Inflection Models
Ling Liu, Mans Hulden
http://arxiv.org/abs/2104.06483v1
• [cs.CL]Cross-geographic Bias Detection in Toxicity Modeling
Sayan Ghosh, Dylan Baker, David Jurgens, Vinodkumar Prabhakaran
http://arxiv.org/abs/2104.06999v1
• [cs.CL]Dependency Parsing based Semantic Representation Learning with Graph Neural Network for Enhancing Expressiveness of Text-to-Speech
Yixuan Zhou, Changhe Song, Jingbei Li, Zhiyong Wu, Helen Meng
http://arxiv.org/abs/2104.06835v1
• [cs.CL]Developing a Conversational Recommendation System for Navigating Limited Options
Victor S. Bursztyn, Jennifer Healey, Eunyee Koh, Nedim Lipka, Larry Birnbaum
http://arxiv.org/abs/2104.06552v1
• [cs.CL]Distributed Word Representation in Tsetlin Machine
Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
http://arxiv.org/abs/2104.06901v1
• [cs.CL]Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey
Danielle Saunders
http://arxiv.org/abs/2104.06951v1
• [cs.CL]Evaluation of Unsupervised Entity and Event Salience Estimation
Jiaying Lu, Jinho D. Choi
http://arxiv.org/abs/2104.06924v1
• [cs.CL]Event Detection as Question Answering with Entity Information
Emanuela Boros, Jose G. Moreno, Antoine Doucet
http://arxiv.org/abs/2104.06969v1
• [cs.CL]From Solving a Problem Boldly to Cutting the Gordian Knot: Idiomatic Text Generation
Jianing Zhou, Hongyu Gong, Suma Bhat
http://arxiv.org/abs/2104.06541v1
• [cs.CL]I Wish I Would Have Loved This One, But I Didn’t — A Multilingual Dataset for Counterfactual Detection in Product Reviews
James O’Neill, Polina Rozenshtein, Ryuichi Kiryo, Motoko Kubota, Danushka Bollegala
http://arxiv.org/abs/2104.06893v1
• [cs.CL]IGA : An Intent-Guided Authoring Assistant
Simeng Sun, Wenlong Zhao, Varun Manjunatha, Rajiv Jain, Vlad Morariu, Franck Dernoncourt, Balaji Vasan Srinivasan, Mohit Iyyer
http://arxiv.org/abs/2104.07000v1
• [cs.CL]Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention
Leon Bergen, Dzmitry Bahdanau, Timothy J. O’Donnell
http://arxiv.org/abs/2104.06645v1
• [cs.CL]K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce
Song Xu, Haoran Li, Peng Yuan, Yujia Wang, Youzheng Wu, Xiaodong He, Ying Liu, Bowen Zhou
http://arxiv.org/abs/2104.06960v1
• [cs.CL]Knowledge-driven Answer Generation for Conversational Search
Mariana Leite, Rafael Ferreira, David Semedo, João Magalhães
http://arxiv.org/abs/2104.06892v1
• [cs.CL]Large-Scale Contextualised Language Modelling for Norwegian
Andrey Kutuzov, Jeremy Barnes, Erik Velldal, Lilja Øvrelid, Stephan Oepen
http://arxiv.org/abs/2104.06546v1
• [cs.CL]Large-Scale Self- and Semi-Supervised Learning for Speech Translation
Changhan Wang, Anne Wu, Juan Pino, Alexei Baevski, Michael Auli, Alexis Conneau
http://arxiv.org/abs/2104.06678v1
• [cs.CL]Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
Guanghui Qin, Jason Eisner
http://arxiv.org/abs/2104.06599v1
• [cs.CL]MS2: Multi-Document Summarization of Medical Studies
Jay DeYoung, Iz Beltagy, Madeleine van Zuylen, Bailey Keuhl, Lucy Lu Wang
http://arxiv.org/abs/2104.06486v1
• [cs.CL]Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela
http://arxiv.org/abs/2104.06644v1
• [cs.CL]Modeling Framing in Immigration Discourse on Social Media
Julia Mendelsohn, Ceren Budak, David Jurgens
http://arxiv.org/abs/2104.06443v1
• [cs.CL]NAREOR: The Narrative Reordering Problem
Varun Gangal, Steven Y. Feng, Eduard Hovy, Teruko Mitamura
http://arxiv.org/abs/2104.06669v1
• [cs.CL]Natural-Language Multi-Agent Simulations of Argumentative Opinion Dynamics
Gregor Betz
http://arxiv.org/abs/2104.06737v1
• [cs.CL]On the interpretation and significance of bias metrics in texts: a PMI-based approach
*Francisco Valen
20fe
tini, Germán Rosati, Damián Blasi, Diego Fernandez Slezak, Edgar Altszyler*
http://arxiv.org/abs/2104.06474v1
• [cs.CL]Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation
Kyeongpil Kang, Kyohoon Jin, Soyoung Yang, Sujin Jang, Jaegul Choo, Youngbin Kim
http://arxiv.org/abs/2104.05964v2
• [cs.CL]Sentence Embeddings by Ensemble Distillation
Fredrik Carlsson Magnus Sahlgren
http://arxiv.org/abs/2104.06719v1
• [cs.CL]Should Semantic Vector Composition be Explicit? Can it be Linear
Dominic Widdows, Kristen Howell, Trevor Cohen
http://arxiv.org/abs/2104.06555v1
• [cs.CL]Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation
Hirofumi Inaguma, Tatsuya Kawahara, Shinji Watanabe
http://arxiv.org/abs/2104.06457v1
• [cs.CL]Sparse Attention with Linear Units
Biao Zhang, Ivan Titov, Rico Sennrich
http://arxiv.org/abs/2104.07012v1
• [cs.CL]TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning
Kexin Wang, Nils Reimers, Iryna Gurevych
http://arxiv.org/abs/2104.06979v1
• [cs.CL]The Curious Case of Hallucinations in Neural Machine Translation
Vikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt
http://arxiv.org/abs/2104.06683v1
• [cs.CL]The Surprising Performance of Simple Baselines for Misinformation Detection
Kellin Pelrine, Jacob Danovitch, Reihaneh Rabbany
http://arxiv.org/abs/2104.06952v1
• [cs.CL]Towards BERT-based Automatic ICD Coding: Limitations and Opportunities
Damian Pascual, Sandro Luck, Roger Wattenhofer
http://arxiv.org/abs/2104.06709v1
• [cs.CL]Translating synthetic natural language to database queries: a polyglot deep learning framework
Adrián Bazaga, Nupur Gunwant, Gos Micklem
http://arxiv.org/abs/2104.07010v1
• [cs.CL]UPB at SemEval-2021 Task 1: Combining Deep Learning and Hand-Crafted Features for Lexical Complexity Prediction
George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu
http://arxiv.org/abs/2104.06983v1
• [cs.CL]Zero-Resource Multi-Dialectal Arabic Natural Language Understanding
Muhammad Khalifa, Hesham Hassan, Aly Fahmy
http://arxiv.org/abs/2104.06591v1
• [cs.CL]Zhestyatsky at SemEval-2021 Task 2: ReLU over Cosine Similarity for BERT Fine-tuning
Boris Zhestiankin, Maria Ponomareva
http://arxiv.org/abs/2104.06439v1
• [cs.CL][RE] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation**
Haswanth Aekula, Sugam Garg, Animesh Gupta
http://arxiv.org/abs/2104.06973v1
• [cs.CR]A Novel Malware Detection Mechanism based on Features Extracted from Converted Malware Binary Images
Abhijitt Dhavlle, Sanket Shukla
http://arxiv.org/abs/2104.06652v1
• [cs.CR]A Review of Anonymization for Healthcare Data
Iyiola E. Olatunji, Jens Rauch, Matthias Katzensteiner, Megha Khosla
http://arxiv.org/abs/2104.06523v1
• [cs.CR]A multiagent based framework secured with layered SVM-based IDS for remote healthcare systems
Mohammadreza Begli, Farnaz Derakhshan
http://arxiv.org/abs/2104.06498v1
• [cs.CR]Defening against Adversarial Denial-of-Service Attacks
Nicolas M. Müller, Simon Roschmann, Konstantin Böttinger
http://arxiv.org/abs/2104.06744v1
• [cs.CR]Going dark? Analysing the impact of end-to-end encryption on the outcome of Dutch criminal court cases
Pieter Hartel, Rolf van Wegberg
http://arxiv.org/abs/2104.06444v1
• [cs.CV]A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell Using Contrastive Learning Strategy
Yanni Ren, Hangyu Deng, Hao Jiang, Jinglu Hu
http://arxiv.org/abs/2104.06593v1
• [cs.CV]A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees
Armstrong Aboah, Maged Shoman, Vishal Mandal, Sayedomidreza Davami, Yaw Adu-Gyamfi, Anuj Sharma
http://arxiv.org/abs/2104.06856v1
• [cs.CV]A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases
Chun Yang, Franz Rottensteiner, Christian Heipke
http://arxiv.org/abs/2104.06991v1
• [cs.CV]ADNet: Temporal Anomaly Detection in Surveillance Videos
Halil İbrahim Öztürk, Ahmet Burak Can
http://arxiv.org/abs/2104.06653v1
• [cs.CV]Aliasing is your Ally: End-to-End Super-Resolution from Raw Image Bursts
Bruno Lecouat, Jean Ponce, Julien Mairal
http://arxiv.org/abs/2104.06191v1
• [cs.CV]Aligning Latent and Image Spaces to Connect the Unconnectable
Ivan Skorokhodov, Grigorii Sotnikov, Mohamed Elhoseiny
http://arxiv.org/abs/2104.06954v1
• [cs.CV]Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds
Bowen Cheng, Lu Sheng, Shaoshuai Shi, Ming Yang, Dong Xu
http://arxiv.org/abs/2104.06114v2
• [cs.CV]CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation based on CelebA
Yutao Chen, Yuxuan Zhang, Zhongrui Huang, Zhenyao Luo, Jinpeng Chen
http://arxiv.org/abs/2104.06885v1
• [cs.CV]Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network
Xiaofan Qu, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li
http://arxiv.org/abs/2104.06699v1
• [cs.CV]ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues
http://arxiv.org/abs/2104.06957v1
• [cs.CV]Context-Dependent Anomaly Detection for Low Altitude Traffic Surveillance
Ilker Bozcan, Erdal Kayacan
http://arxiv.org/abs/2104.06781v1
• [cs.CV]Continual learning in cross-modal retrieval
Kai Wang, Luis Herranz, Joost van de Weijer
http://arxiv.org/abs/2104.06806v1
• [cs.CV]Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection
Ajian Liu, Chenxu Zhao, Zitong Yu, Jun Wan, Anyang Su, Xing Liu, Zichang Tan, Sergio Escalera, Junliang Xing, Yanyan Liang, Guodong Guo, Zhen Lei, Stan Z. Li, Du Zhang
http://arxiv.org/abs/org/abs/2104.06148v1
• [cs.CV]DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler
http://arxiv.org/abs/2104.06490v1
• [cs.CV]Decoupled Spatial-Temporal Transformer for Video Inpainting
Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li
http://arxiv.org/abs/2104.06637v1
• [cs.CV]Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point Clouds for Virtual Testing of Autonomous Driving
Anthony Ngo, Max Paul Bauer, Michael Resch
http://arxiv.org/abs/2104.06772v1
• [cs.CV]Deep Permutation Equivariant Structure from Motion
Dror Moran, Hodaya Koslowsky, Yoni Kasten, Haggai Maron, Meirav Galun, Ronen Basri
http://arxiv.org/abs/2104.06703v1
• [cs.CV]Dewarping Document Image By Displacement Flow Estimation with Fully Convolutional Network
Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu
http://arxiv.org/abs/2104.06815v1
• [cs.CV]Discrete Cosine Transform Network for Guided Depth Map Super-Resolution
Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Chunxia Zhang, Junmin Liu
http://arxiv.org/abs/2104.06977v1
• [cs.CV]Do Time Constraints Re-Prioritize Attention to Shapes During Visual Photo Inspection?
Yiyuan Yang, Kenneth Li, Fernanda Eliott, Maithilee Kunda
http://arxiv.org/abs/2104.06984v1
• [cs.CV]Domain Adaptive Monocular Depth Estimation With Semantic Information
Fei Lu, Hyeonwoo Yu, Jean Oh
s/2104.05764v1](http://arxiv.org/abs/872
s/2104.05764v1)
• [cs.CV]Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing
Aiyu Cui, Daniel McKee, Svetlana Lazebnik
http://arxiv.org/abs/2104.07021v1
• [cs.CV]Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations
Kaitai Zhang, Bin Wang, Hong-Shuo Chen, Ye Wang, Shiyu Mou, C. -C. Jay Kuo
http://arxiv.org/abs/2104.05940v2
• [cs.CV]Federated Generalized Face Presentation Attack Detection
Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel
http://arxiv.org/abs/2104.06595v1
• [cs.CV]Few-shot Image Generation via Cross-domain Correspondence
Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang
http://arxiv.org/abs/2104.06820v1
• [cs.CV]Global Information Guided Video Anomaly Detection
Hui Lv, Chunyan Xu, Zhen Cui
http://arxiv.org/abs/2104.06813v1
• [cs.CV]Graph-based Person Signature for Person Re-Identifications
Binh X. Nguyen, Binh D. Nguyen, Tuong Do, Erman Tjiputra, Quang D. Tran, Anh Nguyen
http://arxiv.org/abs/2104.06770v1
• [cs.CV]Harmonious Semantic Line Detection via Maximal Weight Clique Selection
Dongkwon Jin, Wonhui Park, Seong-Gyun Jeong, Chang-Su Kim
http://arxiv.org/abs/2104.06903v1
• [cs.CV]Holistic Guidance for Occluded Person Re-Identification
Madhu Kiran, R Gnana Praveen, Le Thanh Nguyen-Meidine, Soufiane Belharbi, Louis-Antoine Blais-Morin, Eric Granger
http://arxiv.org/abs/2104.06524v1
• [cs.CV]HoughNet: Integrating near and long-range evidence for visual detection
Nermin Samet, Samet Hicsonmez, Emre Akbas
http://arxiv.org/abs/2104.06773v1
• [cs.CV]IQDet: Instance-wise Quality Distribution Sampling for Object Detection
Yuchen Ma, Songtao Liu, Zeming Li, Jian Sun
http://arxiv.org/abs/2104.06936v1
• [cs.CV]Image Manipulation Detection by Multi-View Multi-Scale Supervision
Xinru Chen, Chengbo Dong, Jiaqi Ji, Juan Cao, Xirong Li
http://arxiv.org/abs/2104.06832v1
• [cs.CV]In-field high throughput grapevine phenotyping with a consumer-grade depth camera
Annalisa Milella, Roberto Marani, Antonio Petitti, Giulio Reina
http://arxiv.org/abs/2104.06945v1
• [cs.CV]Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer
Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
http://arxiv.org/abs/2104.06476v1
• [cs.CV]LEAP: Learning Articulated Occupancy of People
Marko Mihajlovic, Yan Zhang, Michael J. Black, Siyu Tang
http://arxiv.org/abs/2104.06849v1
• [cs.CV]Learning Normal Dynamics in Videos with Meta Prototype Network
Hui Lv, Chen Chen, Zhen Cui, Chunyan Xu, Yong Li, Jian Yang
http://arxiv.org/abs/2104.06689v1
• [cs.CV]Learning Semantic Person Image Generation by Region-Adaptive Normalization
Zhengyao Lv, Xiaoming Li, Xin Li, Fu Li, Tianwei Lin, Dongliang He, Wangmeng Zuo
http://arxiv.org/abs/2104.06650v1
• [cs.CV]Machine-learned 3D Building Vectorization from Satellite Imagery
Yi Wang, Stefano Zorzi, Ksenia Bittner
http://arxiv.org/abs/2104.06485v1
• [cs.CV]Meaningful Adversarial Stickers for Face Recognition in Physical World
Ying Guo, Xingxing Wei, Guoqiu Wang, Bo Zhang
http://arxiv.org/abs/2104.06728v1
• [cs.CV]Pose Recognition with Cascade Transformers
Ke Li, Shijie Wang, Xiang Zhang, Yifan Xu, Weijian Xu, Zhuowen Tu
http://arxiv.org/abs/2104.06976v1
• [cs.CV]Representative Forgery Mining for Fake Face Detection
Chengrui Wang, Weihong Deng
http://arxiv.org/abs/2104.06609v1
• [cs.CV]Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction
Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong
http://arxiv.org/abs/2104.06697v1
• [cs.CV]Revisiting Light Field Rendering with Deep Anti-Aliasing Neural Network
Gaochang Wu, Yebin Liu, Lu Fang, Tianyou Chai
http://arxiv.org/abs/2104.06797v1
• [cs.CV]SPARK: SPAcecraft Recognition leveraging Knowledge of Space Environment
Mohamed Adel Musallam, Kassem Al Ismaeil, Oyebade Oyedotun, Marcos Damian Perez, Michel Poucet, Djamila Aouada
http://arxiv.org/abs/2104.05978v2
• [cs.CV]Simultaneous Face Hallucination and Translation for Thermal to Visible Face Verification using Axial-GAN
Rakhil Immidisetti, Shuowen Hu, Vishal M. Patel
http://arxiv.org/abs/2104.06534v1
• [cs.CV]Single Image Depth Estimation: An Overview
Alican Mertan, Damien Jade Duff, Gozde Unal
http://arxiv.org/abs/2104.06456v1
• [cs.CV]Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
Julian Chibane, Aayush Bansal, Verica Lazova, Gerard Pons-Moll
http://arxiv.org/abs/2104.06935v1
• [cs.CV]Temporally-Aware Feature Pooling for Action Spotting in Soccer Broadcasts
Silvio Giancola, Bernard Ghanem
http://arxiv.org/abs/2104.06779v1
• [cs.CV]Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases
Jan Bednarik, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman
http://arxiv.org/abs/2104.06950v1
• [cs.CV]Towards NIR-VIS Masked Face Recognition
Hang Du, Hailin Shi, Yinglu Liu, Dan Zeng, Tao Mei
http://arxiv.org/abs/2104.06761v1
• [cs.CV]Towards Unsupervised Fine-Tuning for Edge Video Analytics
Daniel Rivas, Francesc Guim, Jordà Polo, Josep Ll. Berral, Pubudu M. Silva, David Carrera
http://arxiv.org/abs/2104.06826v1
• [cs.CV]Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents
Hak Gu Kim, Sangmin Lee, Seongyeop Kim, Heoun-taek Lim, Yong Man Ro
http://arxiv.org/abs/2104.06780v1
• [cs.CV]VOLDOR-SLAM: For the Times When Feature-Based or Direct Methods Are Not Good Enough
Zhixiang Min, Enrique Dunn
http://arxiv.org/abs/2104.06800v1
• [cs.CV]VOLDOR: Visual Odometry from Log-logistic Dense Optical flow Residuals
Zhixiang Min, Yiding Yang, Enrique Dunn
http://arxiv.org/abs/2104.06789v1
• [cs.CV]Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images
Hak Gu Kim, Minho Park, Sangmin Lee, Seongyeop Kim, Yong Man Ro
http://arxiv.org/abs/2104.06782v1
• [cs.CV]Weakly But Deeply Supervised Occlusion-Reasoned Parametric Layouts
Buyu Liu, Bingbing Zhuang, Manmohan Chandraker
http://arxiv.org/abs/2104.06730v1
• [cs.CV]Zero-Shot Instance Segmentation
Ye Zheng, Jiahong Wu, Yongqiang Qin, Faen Zhang, Li Cui
http://arxiv.org/abs/2104.06601v1
• [cs.CY]A National Discovery Cloud: Preparing the US for Global Competitiveness in the New Era of 21st Century Digital Transformation
Ian Foster, Daniel Lopresti, Bill Gropp, Mark Hill, Katie Schuman
http://arxiv.org/abs/2104.06953v1
• [cs.CY]Impact of risk factors on work zone crashes using logistic models and Random Forest
Huthaifa I Ashqar, Qadri H Shaheen, Suleiman A Ashur, Hesham A Rakha
http://arxiv.org/abs/2104.06561v1
• [cs.CY]Influenza Surveillance using Search Engine, SNS, On-line Shopping, Q&A Service and Past Flu Patients
Taichi Murayama, Nobuyuki Shimizu, Sumio Fujita, Shoko Wakamiya, Eiji Aramaki
http://arxiv.org/abs/2104.06646v1
• [cs.CY]Small World Model for scaling up prediction result based on SEIR model
Guixu Lin, Peiran Li, Yicheng Zhao, Haoran Zhang, Xuan Song
http://arxiv.org/abs/2104.06658v1
• [cs.CY]Students Struggle to Explain Their Own Program Code
Teemu Lehtinen, Aleksi Lukkarinen, Lassi Haaranen
http://arxiv.org/abs/2104.06710v1
• [cs.DC]Blockchain Machine: A Network-Attached Hardware Accelerator for Hyperledger Fabric
Haris Javaid, Ji Yang, Nathania Santoso, Mohit Upadhyay, Sundararajarao Mohan, Chengchen Hu, Gordon Brebner
http://arxiv.org/abs/2104.06968v1
• [cs.DC]Don’t Give Up on Large Optimization Problems; POP Them!
Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Matei Zaharia
http://arxiv.org/abs/2104.06513v1
• [cs.DC]PAGANI: A Parallel Adaptive GPU Algorithm for Numerical
Ioannis Sakiotis, Kamesh Arumugam, Marc Paterno, Desh Ranjan, Balša Terzić, Mohammad Zubair
http://arxiv.org/abs/2104.06494v1
• [cs.HC]Consent Management Platforms under the GDPR: processors and/or controllers?
Cristiana Santos, Midas Nouwens, Michael Toth, Nataliia Bielova, Vincent Roca
http://arxiv.org/abs/2104.06861v1
• [cs.IR]BERT Embeddings Can Track Context in Conversational Search
Rafael Ferreira, David Semedo, Joao Magalhaes
http://arxiv.org/abs/2104.06529v1
• [cs.IR]Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury
http://arxiv.org/abs/2104.06967v1
• [cs.IR]Fatigued PageRank
José Devezas, Sérgio Nunes
http://arxiv.org/abs/2104.05369v2
• [cs.IT]-Polymatroids and Their Relation to Rank-Metric Codes
Heide Gluesing-Luerssen, Benjamin Jany
http://arxiv.org/abs/2104.06570v1
• [cs.IT]An Integrated Optimization-Learning Framework for Online Combinatorial Computation Offloading in MEC Networks
Xian Li, Liang Huang, Hui Wang, Suzhi Bi, Ying-Jun Angela Zhang
http://arxiv.org/abs/2104.06619v1
• [cs.IT]Dynamic Coded Caching in Wireless Networks Using Multi-Agent Reinforcement Learning
Jesper Pedersen, Alexandre Graell i Amat, Fredrik Brännström, Eirik Rosnes
http://arxiv.org/abs/2104.06724v1
• [cs.IT]Error Floor Analysis of LDPC Row Layered Decoders
Ali Farsiabi, Amir H. Banihashemi
http://arxiv.org/abs/2104.06867v1
• [cs.IT]Generalized Simple Streaming Codes from MDS Codes
Vinayak Ramkumar, Myna Vajha, P. Vijay Kumar
http://arxiv.org/abs/2104.07005v1
• [cs.IT]Large-scale IRS-aided MIMO over Double-scattering Channel: An Asymptotic Approach
Xin Zhang, Xianghao Yu, S. H. Song, Khaled B. Letaief
http://arxiv.org/abs/2104.06125v2
• [cs.IT]Learning the CSI Denoising and Feedback Without Supervision
Valentina Rizzello, Wolfgang Utschick
http://arxiv.org/abs/2104.05002v2
• [cs.IT]Mitigating Hand Blockage with Non-Directional Beamforming Codebooks
Vasanthan Raghavan, Ricardo A. Motos, M. Ali Tassoudji, Yu-Chin Ou, Ozge H. Koymen, Junyi Li
http://arxiv.org/abs/2104.06472v1
• [cs.IT]Noncatastrophic convolutional codes over a finite ring
Diego Napp, Raquel Pinto, Conceição Rocha
http://arxiv.org/abs/2104.06754v1
• [cs.IT]On Generalized Expanded Blaum-Roth Codes
Mario Blaum
http://arxiv.org/abs/2104.06426v1
• [cs.IT]Optimal Downlink Training Sequence for Massive MIMO Secret-Key Generation
François Rottenberg
http://arxiv.org/abs/2104.06742v1
• [cs.IT]Optimal Rates of Teaching and Learning Under Uncertainty
Yan Hao Ling, Jonathan Scarlett
http://arxiv.org/abs/2104.06565v1
• [cs.IT]Smaller Keys for Code-Based Cryptography: McEliece Cryptosystems with Convolutional Encoders
Paulo Almeida, Miguel Beltrá, Diego Napp, Cláudia Sebastião
http://arxiv.org/abs/2104.06809v1
• [cs.IT]Stochastic geometry analysis of a distance-based JT scheme in C-RAN
Charles Wiame, Luc Vandendorpe, Claude Oestges
http://arxiv.org/abs/2104.06807v1
• [cs.LG]-CLUE: Diverse Sets of Explanations for Uncertainty Estimates
Dan Ley, Umang Bhatt, Adrian Weller
http://arxiv.org/abs/2104.06323v2
• [cs.LG]A Hyperbolic-to-Hyperbolic Graph Convolutional Network
Jindou Dai, Yuwei Wu, Zhi Gao, Yunde Jia
http://arxiv.org/abs/2104.06942v1
• [cs.LG]A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals
Connor van Rossum, Candice Feinberg, Adam Abu Shumays, Kyle Baxter, Benedek Bartha
http://arxiv.org/abs/2104.06630v1
• [cs.LG]BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning
Heng Zhu, Qing Ling
http://arxiv.org/abs/2104.06685v1
• [cs.LG]Can Active Learning Preemptively Mitigate Fairness Issues?
Frédéric Branchaud-Charron, Parmida Atighehchian, Pau Rodríguez, Grace Abuhamad, Alexandre Lacoste
http://arxiv.org/abs/2104.06879v1
• [cs.LG]Deep Data Density Estimation through Donsker-Varadhan Representation
Seonho Park, Panos M. Pardalos
http://arxiv.org/abs/2104.06612v1
• [cs.LG]Detection of Dataset Shifts in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression
Feiyang Cai, Ali I. Ozdagli, Xenofon Koutsoukos
http://arxiv.org/abs/2104.06613v1
• [cs.LG]Device-Cloud Collaborative Learning for Recommendation
Jiangchao Yao, Feng Wang, KunYang Jia, Bo Han, Jingren Zhou, Hongxia Yang
http://arxiv.org/abs/2104.06624v1
• [cs.LG]DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks
Vasimuddin Md, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha
http://arxiv.org/abs/2104.06700v1
• [cs.LG]Do Neural Network Weights account for Classes Centers?
Ioannis Kansizoglou, Loukas Bampis, Antonios Gasteratos
http://arxiv.org/abs/2104.07004v1
• [cs.LG]Eluder Dimension and Generalized Rank
Gene Li, Pritish Kamath, Dylan J. Foster, Nathan Srebro
http://arxiv.org/abs/2104.06970v1
• [cs.LG]GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback
Jie Huang, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Qixin Sha, Bo He, Guangliang Li
http://arxiv.org/abs/2104.06600v1
• [cs.LG]Generative Causal Explanations for Graph Neural Networks
Wanyu Lin, Hao Lan, Baochun Li
http://arxiv.org/abs/2104.06643v1
• [cs.LG]Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition
Alessandro De Palma, Rudy Bunel, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar
http://arxiv.org/abs/2104.06718v1
• [cs.LG]Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches
Dmitry Kazhdan, Botty Dimanov, Helena Andres Terre, Mateja Jamnik, Pietro Liò, Adrian Weller
http://arxiv.org/abs/2104.06917v1
• [cs.LG]Joint Negative and Positive Learning for Noisy Labels
Youngdong Kim, Juseung Yun, Hyounguk Shon, Junmo Kim
http://arxiv.org/abs/2104.06574v1
• [cs.LG]Learning Log-Determinant Divergences for Positive Definite Matrices
Anoop Cherian, Panagiotis Stanitsas, Jue Wang, Mehrtash Harandi, Vassilios Morellas, Nikolaos Papanikolopoulos
http://arxiv.org/abs/2104.06461v1
• [cs.LG]Model Learning with Personalized Interpretability Estimation (ML-PIE)
Marco Virgolin, Andrea De Lorenzo, Francesca Randone, Eric Medvet, Mattias Wahde
http://arxiv.org/abs/2104.06060v2
• [cs.LG]Multi-Party Dual Learning
Maoguo Gong, Yuan Gao, Yu Xie, A. K. Qin, Ke Pan, Yew-Soon Ong
http://arxiv.org/abs/2104.06677v1
• [cs.LG]Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution
Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu
http://arxiv.org/abs/2104.06629v1
• [cs.LG]Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference
Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
http://arxiv.org/abs/2104.06788v1
• [cs.LG]Optimizing the Long-Term Average Reward for Continuing MDPs: A Technical Report
Chao Xu, Yiping Xie, Xijun Wang, Howard H. Yang, Dusit Niyato, Tony Q. S. Quek
http://arxiv.org/abs/2104.06139v2
• [cs.LG]Process Outcome Prediction: CNN vs. LSTM (with Attention)
Hans Weytjens, Jochen De Weerdt
http://arxiv.org/abs/2104.06934v1
• [cs.LG]Quadratic GCN for Graph Classification
Omer Nagar, Shoval Frydman, Ori Hochman, Yoram Louzoun
http://arxiv.org/abs/2104.06750v1
• [cs.LG]Reward function shape exploration in adversarial imitation learning: an empirical study
Yawei Wang, Xiu Li
http://arxiv.org/abs/2104.06687v1
• [cs.LG]Safe Continuous Control with Constrained Model-Based Policy Optimization
Moritz A. Zanger, Karam Daaboul, J. Marius Zöllner
http://arxiv.org/abs/2104.06922v1
• [cs.LG]Search to aggregate neighborhood for graph neural network
Huan Zhao, Quanming Yao, Weiwei Tu
http://arxiv.org/abs/2104.06608v1
• [cs.LG]Short-term bus travel time prediction for transfer synchronization with intelligent uncertainty handling
Niklas Christoffer Petersen, Anders Parslov, Filipe Rodrigues
http://arxiv.org/abs/2104.06819v1
• [cs.LG]Solving weakly supervised regression problem using low-rank manifold regularization
Vladimir Berikov, Alexander Litvinenko
http://arxiv.org/abs/2104.06548v1
• [cs.LG]Subgoal-based Reward Shaping to Improve Efficiency in Reinforcement Learning
Takato Okudo, Seiji Yamada
http://arxiv.org/abs/2104.06411v1
• [cs.LG]TASAC: Temporally Abstract Soft Actor-Critic for Continuous Control
Haonan Yu, Wei Xu, Haichao Zhang
http://arxiv.org/abs/2104.06521v1
• [cs.LG]Towards Causal Federated Learning For Enhanced Robustness and Privacy
Sreya Francis, Irene Tenison, Irina Rish
http://arxiv.org/abs/2104.06557v1
• [cs.LG]Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework
Yuan Gao, Jiawei Li, Maoguo Gong, Yu Xie, A. K. Qin
http://arxiv.org/abs/2104.06670v1
• [cs.LG]WiFiNet: WiFi-based indoor localisation using CNNs
Noelia Hernández, Ignacio Parra, Héctor Corrales, Rubén Izquierdo, Augusto Luis Ballardini, Carlota Salinas, Iván Garcia
http://arxiv.org/abs/2104.06768v1
• [cs.NE]A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
http://arxiv.org/abs/2104.06585v1
• [cs.NE]Lazy Parameter Tuning and Control: Choosing All Parameters Randomly From a Power-Law Distribution
Denis Antipov, Maxim Buzdalov, Benjamin Doerr
http://arxiv.org/abs/2104.06714v1
• [cs.NE]When Non-Elitism Meets Time-Linkage Problems
Weijie Zheng, Qiaozhi Zhang, Huanhuan Chen, Xin Yao
http://arxiv.org/abs/2104.06831v1
• [cs.NI]Managing Cloud networking costs for data-intensive applications by provisioning dedicated network links
Igor Sfiligoi, Michael Hare, David Schultz, Frank Würthwein, Benedikt Riedel, Tom Hutton, Steve Barnet, Vladimir Brik
http://arxiv.org/abs/2104.06913v1
• [cs.RO]I Need Your Advice… Human Perceptions of Robot Moral Advising Behaviors
Nichole D. Starr, Bertram Malle, Tom Williams
http://arxiv.org/abs/2104.06963v1
• [cs.RO]Look at my new blue force-sensing shoes!
Yuanfeng Han, Ruixin Li, Gregory S. Chirikjian
http://arxiv.org/abs/2104.06618v1
• [cs.RO]On the Complexity of a Family of Decoupled Multi-Robot Motion Planning Problems
Tzvika Geft, Dan Halperin
http://arxiv.org/abs/2104.07011v1
• [cs.RO]OneVision: Centralized to Distributed Controller Synthesis with Delay Compensation
Jiayi Wei, Tongrui Li, Swarat Chaudhuri, Isil Dillig, Joydeep Biswas
http://arxiv.org/abs/2104.06588v1
• [cs.RO]Perception Entropy: A Metric for Multiple Sensors Configuration Evaluation and Design
Tao Ma, Zhizheng Liu, Yikang Li
http://arxiv.org/abs/2104.06615v1
• [cs.RO]RECON: Rapid Exploration for Open-World Navigation with Latent Goal Models
Dhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart, Sergey Levine
http://arxiv.org/abs/2104.05859v2
• [cs.RO]Reward Shaping with Subgoals for Social Navigation
Takato Okudo, Seiji Yamada
http://arxiv.org/abs/2104.06410v1
• [cs.RO]Situational Confidence Assistance for Lifelong Shared Autonomy
Matthew Zurek, Andreea Bobu, Daniel S. Brown, Anca D. Dragan
http://arxiv.org/abs/2104.06556v1
• [cs.RO]The role of successful human-robot interaction on trust — Findings of an experiment with an autonomous cooperative robot
Nadine Bender, Samir El Faramawy, Johannes Maria Kraus, Martin Baumann
http://arxiv.org/abs/2104.06863v1
• [cs.RO]Trust and Safety
S. K. Devitt, R. Horne, Z. Assaad, E. Broad, H. Kurniawati, B. Cardier, A. Scott, S. Lazar, M. Gould, C. Adamson, C. Karl, F. Schrever, S. Keay, K. Tranter, E. Shellshear, D. Hunter, M. Brady, T. Putland
http://arxiv.org/abs/2104.06512v1
• [cs.SD]Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition
Eunjeong Koh, Shlomo Dubnov
http://arxiv.org/abs/2104.06517v1
• [cs.SD]End-to-end Keyword Spotting using Neural Architecture Search and Quantization
David Peter, Wolfgang Roth, Franz Pernkopf
http://arxiv.org/abs/2104.06666v1
• [cs.SD]Non-autoregressive sequence-to-sequence voice conversion
Tomoki Hayashi, Wen-Chin Huang, Kazuhiro Kobayashi, Tomoki Toda
http://arxiv.org/abs/2104.06793v1
• [cs.SI]ABEM: An Adaptive Agent-based Evolutionary Approach for Mining Influencers in Online Social Networks
Weihua Li, Yuxuan Hu, Shiqing Wu, Quan Bai, Edmund Lai
http://arxiv.org/abs/2104.06563v1
• [cs.SI]Automated Allocation of Detention Rooms Based on Inverse Graph Partitioning
Jingwei Wang, Chuan Liu, Yukai Zhao, Yunlong Ma, Min Liu, Weiming Shen
http://arxiv.org/abs/2104.06927v1
• [cs.SI]Identity Inference on Blockchain using Graph Neural Network
Jie Shen, Jiajun Zhou, Yunyi Xie, Shanqing Yu, Qi Xuan
http://arxiv.org/abs/2104.06559v1
• [cs.SI]Political Polarization in Online News Consumption
Kiran Garimella, Tim Smith, Rebecca Weiss, Robert West
http://arxiv.org/abs/2104.06481v1
• [eess.IV]Learning to Jointly Deblur, Demosaick and Denoise Raw Images
Thomas Eboli, Jian Sun, Jean Ponce
http://arxiv.org/abs/2104.06459v1
• [eess.IV]VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers
Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Kenton M. Sanders, Salah A. Baker
http://arxiv.org/abs/2104.06757v1
• [eess.IV]ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration
Junyu Chen, Yufan He, Eric C. Frey, Ye Li, Yong Du
http://arxiv.org/abs/2104.06468v1
• [eess.SP]Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges
Cong Shen, Jie Xu, Sihui Zheng, Xiang Chen
http://arxiv.org/abs/2104.06990v1
• [eess.SY]Towards agrobots: Identification of the yaw dynamics and trajectory tracking of an autonomous tractor
Erkan Kayacan, Erdal Kayacan, Herman Ramon, Wouter Saeys
http://arxiv.org/abs/2104.06833v1
• [math.NA]Learning Regularization Parameters of Inverse Problems via Deep Neural Networks
Babak Maboudi Afkham, Julianne Chung, Matthias Chung
http://arxiv.org/abs/2104.06594v1
• [math.OC]Oracle Complexity in Nonsmooth Nonconvex Optimization
Guy Kornowski, Ohad Shamir
http://arxiv.org/abs/2104.06763v1
• [math.ST]Deep Nonparametric Regression on Approximately Low-dimensional Manifolds
Yuling Jiao, Guohao Shen, Yuanyuan Lin, Jian Huang
http://arxiv.org/abs/2104.06708v1
• [math.ST]Uncertainty measures: The big picture
Fabio Cuzzolin
http://arxiv.org/abs/2104.06839v1
• [physics.soc-ph]Higher-order percolation processes on multiplex hypergraphs
Hanlin Sun, Ginestra Bianconi
http://arxiv.org/abs/2104.05457v1
• [physics.soc-ph]Influence of individual nodes for continuous-time Susceptible-Infected-Susceptible dynamics on synthetic and real-world networks
Alfredo De Bellis, Romualdo Pastor-Satorras, Claudio Castellano
http://arxiv.org/abs/2104.06752v1
• [physics.soc-ph]Maximizing spreading in complex networks with risk in node activation
Leyang Xue, Peng Zhang, An Zeng
http://arxiv.org/abs/2104.06986v1
• [q-bio.MN]Inference of cell dynamics on perturbation data using adjoint sensitivity
Weiqi Ji, Bo Yuan, Ciyue Shen, Aviv Regev, Chris Sander, Sili Deng
http://arxiv.org/abs/2104.06467v1
• [q-bio.NC]Shared memories driven by the intrinsic memorability of items
Wilma A. Bainbridge
http://arxiv.org/abs/2104.06937v1
• [q-fin.RM]**Enabling Machine Learning Algorithms for Credit Scoring — Explainable Artificial Intelligence (XAI) methods for clear understanding complex
6920
predictive models**
Przemysław Biecek, Marcin Chlebus, Janusz Gajda, Alicja Gosiewska, Anna Kozak, Dominik Ogonowski, Jakub Sztachelski, Piotr Wojewnik
http://arxiv.org/abs/2104.06735v1
• [quant-ph]Fast quantum state reconstruction via accelerated non-convex programming
Junhyung Lyle Kim, George Kollias, Amir Kalev, Ken X. Wei, Anastasios Kyrillidis
http://arxiv.org/abs/2104.07006v1
• [stat.AP]Computer Algebra in R with caracas
Mikkel Meyer Andersen, Søren Højsgaard
http://arxiv.org/abs/2104.05292v2
• [stat.ME]Dependent censoring based on copulas
Claudia Czado, Ingrid Van Keilegom
http://arxiv.org/abs/2104.06872v1
• [stat.ME]Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap
Yuqian Zhang, Abhishek Chakrabortty, Jelena Bradic
http://arxiv.org/abs/2104.06667v1
• [stat.ME]Gaussian Process Model for Estimating Piecewise Continuous Regression Functions
Chiwoo Park
http://arxiv.org/abs/2104.06487v1
• [stat.ME]On the implied weights of linear regression for causal inference
Ambarish Chattopadhyay, Jose R. Zubizarreta
http://arxiv.org/abs/2104.06581v1
• [stat.ME]Post-selection Problems for Causal Inference with Invalid Instruments: A Solution Using Searching and Sampling
Zijian Guo
http://arxiv.org/abs/2104.06911v1
• [stat.ML]Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex Algorithms
Ani Eloyan, Sherri Rose
http://arxiv.org/abs/2104.06571v1
• [stat.ML]Root-finding Approaches for Computing Conformal Prediction Set
Eugene Ndiaye, Ichiro Takeuchi
http://arxiv.org/abs/2104.06648v1
• [stat.ML]Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels
Qin Luo, Kun Fang, Jie Yang, Xiaolin Huang
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