astro-ph.EP - 地球与行星天体
cs.AI - 人工智能 cs.CC - 计算复杂度 cs.CG - 计算几何学 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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 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 econ.EM - 计量经济学 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 q-bio.GN - 基因组学 q-bio.PE - 人口与发展 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
• [astro-ph.EP]PyLightcurve-torch: a transit modelling package for deep learning applications in PyTorch
• [cs.AI]An On-Line POMDP Solver for Continuous Observation Spaces
• [cs.AI]An ontology-based chatbot for crises management: use case coronavirus
• [cs.AI]IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data
• [cs.AI]Modeling bank performance: A novel fuzzy two-stage DEA approach
• [cs.AI]Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach
• [cs.AI]Necessary and Sufficient Explanations in Abstract Argumentation
• [cs.AI]New Ideas for Brain Modelling 7
• [cs.AI]Rearrangement: A Challenge for Embodied AI
• [cs.AI]Simulation of Human and Artificial Emotion (SHArE)
• [cs.AI]Valuing Player Actions in Counter-Strike: Global Offensive
• [cs.CC]PCP Theorems, SETH and More: Towards Proving Sub-linear Time Inapproximability
• [cs.CG]Affine invariant triangulations
• [cs.CL]A BERT-based Dual Embedding Model for Chinese Idiom Prediction
• [cs.CL]Augmenting Images for ASR and TTS through Single-loop and Dual-loop Multimodal Chain Framework
• [cs.CL]Chinese Grammatical Correction Using BERT-based Pre-trained Model
• [cs.CL]Conditioned Text Generation with Transfer for Closed-Domain Dialogue Systems
• [cs.CL]Cross-Lingual Machine Speech Chain for Javanese, Sundanese, Balinese, and Bataks Speech Recognition and Synthesis
• [cs.CL]Data Augmentation for End-to-end Code-switching Speech Recognition
• [cs.CL]Exhaustive Entity Recognition for Coptic: Challenges and Solutions
• [cs.CL]Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training
• [cs.CL]Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations
• [cs.CL]Hybrid Supervised Reinforced Model for Dialogue Systems
• [cs.CL]Incremental Machine Speech Chain Towards Enabling Listening while Speaking in Real-time
• [cs.CL]Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages
• [cs.CL]Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization
• [cs.CL]Neural text normalization leveraging similarities of strings and sounds
• [cs.CL]Optimizing Transformer for Low-Resource Neural Machine Translation
• [cs.CL]PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents
• [cs.CL]Probing Multilingual BERT for Genetic and Typological Signals
• [cs.CL]Sequence-to-Sequence Learning via Attention Transfer for Incremental Speech Recognition
• [cs.CL]SimulMT to SimulST: Adapting Simultaneous Text Translation to End-to-End Simultaneous Speech Translation
• [cs.CL]Sound Natural: Content Rephrasing in Dialog Systems
• [cs.CL]Treebanking User-Generated Content: a UD Based Overview of Guidelines, Corpora and Unified Recommendations
• [cs.CR]BaFFLe: Backdoor detection via Feedback-based Federated Learning
• [cs.CR]Not fit for Purpose: A critical analysis of the ‘Five Safes’
• [cs.CV]A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions
• [cs.CV]An Improved Attention for Visual Question Answering
• [cs.CV]BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh
• [cs.CV]Channel Planting for Deep Neural Networks using Knowledge Distillation
• [cs.CV]CoT-AMFlow: Adaptive Modulation Network with Co-Teaching Strategy for Unsupervised Optical Flow Estimation
• [cs.CV]Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors
• [cs.CV]DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search
• [cs.CV]Deep Image Compositing
• [cs.CV]Deep Learning Framework to Detect Face Masks from Video Footage
• [cs.CV]Deep Multimodality Learning for UAV Video Aesthetic Quality Assessment
• [cs.CV]Effective Fusion Factor in FPN for Tiny Object Detection
• [cs.CV]FDRN: A Fast Deformable Registration Network for Medical Images
• [cs.CV]Face Morphing Attack Generation & Detection: A Comprehensive Survey
• [cs.CV]Fairness in Biometrics: a figure of merit to assess biometric verification systems
• [cs.CV]Few-Shot Font Generation with Deep Metric Learning
• [cs.CV]Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
• [cs.CV]Graph Based Temporal Aggregation for Video Retrieval
• [cs.CV]Handwriting Classification for the Analysis of Art-Historical Documents
• [cs.CV]Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios
• [cs.CV]Learning Discriminative Representations for Fine-Grained Diabetic Retinopathy Grading
• [cs.CV]Learning Visual Representations for Transfer Learning by Suppressing Texture
• [cs.CV]Leveraging Temporal Joint Depths for Improving 3D Human Pose Estimation in Video
• [cs.CV]Low cost enhanced security face recognition with stereo cameras
• [cs.CV]Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds
• [cs.CV]Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model
• [cs.CV]NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing
• [cs.CV]Pixel-wise Dense Detector for Image Inpainting
• [cs.CV]Realtime CNN-based Keypoint Detector with Sobel Filter and CNN-based Descriptor Trained with Keypoint Candidates
• [cs.CV]Registration Loss Learning for Deep Probabilistic Point Set Registration
• [cs.CV]S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation
• [cs.CV]SD-Measure: A Social Distancing Detector
• [cs.CV]Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning
• [cs.CV]Single Image Human Proxemics Estimation for Visual Social Distancing
• [cs.CV]The Forchheim Image Database for Camera Identification in the Wild
• [cs.CV]VEGA: Towards an End-to-End Configurable AutoML Pipeline
• [cs.CV]Video Generative Adversarial Networks: A Review
• [cs.CV]Weed Density and Distribution Estimation for Precision Agriculture using Semi-Supervised Learning
• [cs.CY]Ideal theory in AI ethics
• [cs.CY]Identity and Personhood in Digital Democracy: Evaluating Inclusion, Equality, Security, and Privacy in Pseudonym Parties and Other Proofs of Personhood
• [cs.CY]On the Moral Justification of Statistical Parity
• [cs.CY]Ridesharing Services and Car-Seats: Technological Perceptions and Usage Patterns
• [cs.CY]Trustworthy AI
• [cs.CY]VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement
• [cs.DB]Palette diagram: A Python package for visualization of collective categorical data
• [cs.DC]A Self-stabilizing Control Plane for the Edge and Fog Ecosystems
• [cs.DC]An Empirical-cum-Statistical Approach to Power-Performance Characterization of Concurrent GPU Kernels
• [cs.DC]Asynchrony and Acceleration in Gossip Algorithms
• [cs.DC]Distributing Sparse Matrix/Graph Applications in Heterogeneous Clusters — an Experimental Study
• [cs.DC]Hints and Principles for Computer System Design
• [cs.DC]Reactive Proof Labeling Schemes for Distributed Decision
• [cs.DC]Understanding Capacity-Driven Scale-Out Neural Recommendation Inference
• [cs.DS]Algorithms and Hardness for Linear Algebra on Geometric Graphs
• [cs.DS]Beyond Worst-case Analysis of Multicore Caching Strategies
• [cs.DS]Greedy $k$-Center from Noisy Distance Samples
• [cs.GT]Maximizing Welfare with Incentive-Aware Evaluation Mechanisms
• [cs.IR]Deoscillated Graph Collaborative Filtering
• [cs.IR]Diversity Aware Relevance Learning for Argument Search
• [cs.IR]Generative Inverse Deep Reinforcement Learning for Online Recommendation
• [cs.IR]Graph Neural Networks in Recommender Systems: A Survey
• [cs.IR]University of Washington at TREC 2020 Fairness Ranking Track
• [cs.IT]Cooperative Multi-Beam Routing for Multi-IRS Aided Massive MIMO
• [cs.IT]Learned Decimation for Neural Belief Propagation Decoders
• [cs.IT]Spectral Efficiency of Dense Multicell Massive MIMO Networks in Spatially Correlated Channels
• [cs.IT]Transfer Learning and Meta Learning Based Fast Downlink Beamforming Adaptation
• [cs.IT]Two-timescale Beamforming Optimization for Intelligent Reflecting Surface Aided Multiuser Communication with QoS Constraints
• cs.LGfairness in Post-operative Complication Prediction Models
• [cs.LG]A Neuro-Symbolic Method for Solving Differential and Functional Equations
• [cs.LG]A Scalable Approach for Privacy-Preserving Collaborative Machine Learning
• [cs.LG]A Variant of the Wang-Foster-Kakade Lower Bound for the Discounted Setting
• [cs.LG]AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient
• [cs.LG]An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
• [cs.LG]Analysing Long Short Term Memory Models for Cricket Match Outcome Prediction
• [cs.LG]Bayesian Variational Optimization for Combinatorial Spaces
• [cs.LG]Control with adaptive Q-learning
• [cs.LG]Debiasing classifiers: is reality at variance with expectation?
• [cs.LG]EAdam Optimizer: How $ε$ Impact Adam
• [cs.LG]Federated Knowledge Distillation
• [cs.LG]HypperSteer: Hypothetical Steering and Data Perturbation in Sequence Prediction with Deep Learning
• [cs.LG]Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning
• [cs.LG]Integrating Deep-Learning-Based Image Completion and Motion Planning to Expedite Indoor Mapping
• [cs.LG]Latent Causal Invariant Model
• [cs.LG]Mixing Consistent Deep Clustering
• [cs.LG]No more 996: Understanding Deep Learning Inference Serving with an Automatic Benchmarking system
• [cs.LG]Node-Centric Graph Learning from Data for Brain State Identification
• [cs.LG]On Self-Distilling Graph Neural Network
• [cs.LG]On the
60f6
Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow
• [cs.LG]Rank Based Pseudoinverse Computation in Extreme Learning Machine for Large Datasets
• [cs.LG]Reverse engineering learned optimizers reveals known and novel mechanisms
• [cs.LG]Stochastic Hard Thresholding Algorithms for AUC Maximization
• [cs.NI]Multi-hop Routing with Proactive Route Refinement for 60 GHz Millimeter-Wave Networks
• [cs.RO]A Comprehensive LiDAR-based SLAM Comparison for Control of Unmanned Aerial Vehicles
• [cs.RO]A Modular Robotic Arm Control Stack for Research: Franka-Interface and FrankaPy
• [cs.RO]A Multi-Resolution Frontier-Based Planner for Autonomous 3D Exploration
• [cs.RO]Autonomous Wall Building with a UGV-UAV Team at MBZIRC 2020
• [cs.RO]DeepReach: A Deep Learning Approach to High-Dimensional Reachability
• [cs.RO]Dynamics Randomization Revisited:A Case Study for Quadrupedal Locomotion
• [cs.RO]Face-work for Human-Agent Joint Decision-Making
• [cs.RO]Learning 3D Dynamic Scene Representations for Robot Manipulation
• [cs.RO]MBVI: Model-Based Value Initialization for Reinforcement Learning
• [cs.RO]Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together
• [cs.RO]Planning to Chronicle
• [cs.RO]Robust Entry Vehicle Guidance with Sampling-Based Invariant Funnels
• [cs.RO]Soft Robot Optimal Control Via Reduced Order Finite Element Models
• [cs.RO]Toward Force Estimation in Robot-Assisted Surgery using Deep Learning with Vision and Robot State
• [cs.RO]Toward Impact-resilient Quadrotor Design, Collision Characterization and Recovery Control to Sustain Flight after Collisions
• [cs.RO]Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps
• [cs.RO]When Shall I Be Empathetic? The Utility of Empathetic Parameter Estimation in Multi-Agent Interactions
• [cs.SD]Can We Trust Deep Speech Prior?
• [cs.SD]Single channel voice separation for unknown number of speakers under reverberant and noisy settings
• [cs.SI]A Survey on Contact Tracing: the Latest Advancements and Challenges
• [cs.SI]Adaptive Test Allocation for Outbreak Detection and Tracking in Social Contact Networks
• [cs.SI]The Role of Time, Weather and Google Trends in Understanding and Predicting Web Survey Response
• [cs.SI]The dynamics of U.S. college network formation on Facebook
• [econ.EM]Adaptive Combinatorial Allocation
• [econ.GN]The polarizing impact of numeracy, economic literacy, and science literacy on attitudes toward immigration
• [eess.AS]Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition
• [eess.AS]Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech
• [eess.AS]Unsupervised Pattern Discovery from Thematic Speech Archives Based on Multilingual Bottleneck Features
• [eess.IV]Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective
• [eess.IV]Noise Reduction to Compute Tissue Mineral Density and Trabecular Bone Volume Fraction from Low Resolution QCT
• [eess.IV]Robust Super-Resolution of Real Faces using Smooth Features
• [eess.IV]Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs
• [eess.IV]Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation
• [eess.SP]Correlation based Multi-phasal models for improved imagined speech EEG recognition
• [eess.SP]Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale Problems
• [eess.SP]SISO RIS-Enabled Joint 3D Downlink Localization and Synchronization
• [eess.SY]Online Observer-Based Inverse Reinforcement Learning
• [math.OC]Convolutional Proximal Neural Networks and Plug-and-Play Algorithms
• [math.ST]Concentration Inequalities for Statistical Inference
• [math.ST]Kernel Mean Embedding of Probability Measures and its Applications to Functional Data Analysis
• [math.ST]On Ordered Fuzzy Numbers Generated By Time Series
• [math.ST]Testing (Infinitely) Many Zero Restrictions
• [q-bio.GN]A deep learning classifier for local ancestry inference
• [q-bio.PE]Estimating the evolution of effective infection fatality rates during the course of the COVID-19 pandemic in Germany
• [q-bio.PE]Phylogenetic reconstruction of the cultural evolution of electronic music via dynamic community detection (1975-1999)
• [quant-ph]Power of data in quantum machine learning
• [stat.AP]Airborne Laser Scanning Based Timber Volume Estimation Using National Forest Inventory and Forest Management Inventory Data — a Comparison
• [stat.AP]Context-specific volume-delay curves by combining crowd-sourced traffic data with Automated Traffic Counters (ATC): a case study for London
• [stat.AP]Particulate Matter Exposure and Lung Cancer: A Review of two Meta-Analysis Studies
• [stat.ME]Joint Curve Registration and Classification with Two-level Functional Models
• [stat.ML]Advantage of Deep Neural Networks for Estimating Functions with Singularity on Curves
• [stat.ML]Capped norm linear discriminant analysis and its applications
• [stat.ML]Causal Autoregressive Flows
• [stat.ML]Graph Enhanced High Dimensional Kernel Regression
• [stat.ML]High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
• [stat.ML]Learning to Rank with Missing Data via Generative Adversarial Networks
• [stat.ML]Quantized Variational Inference
• [stat.ML]Residual Likelihood Forests
• [stat.ML]Which Minimizer Does My Neural Network Converge To?
·····································
• [astro-ph.EP]PyLightcurve-torch: a transit modelling package for deep learning applications in PyTorch
Mario Morvan, Angelos Tsiaras, Nikolaos Nikolaou, Ingo P. Waldmann
http://arxiv.org/abs/2011.02030v1
• [cs.AI]An On-Line POMDP Solver for Continuous Observation Spaces
Marcus Hoerger, Hanna Kurniawati
http://arxiv.org/abs/2011.02076v1
• [cs.AI]An ontology-based chatbot for crises management: use case coronavirus
Khouloud Hwerbi
http://arxiv.org/abs/2011.02340v1
• [cs.AI]IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data
Xiaosong Jia, Liting Sun, Masayoshi Tomizuka, Wei Zhan
http://arxiv.org/abs/2011.02403v1
• [cs.AI]Modeling bank performance: A novel fuzzy two-stage DEA approach
Mohammad Izadikhah
http://arxiv.org/abs/2011.02442v1
• [cs.AI]Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
http://arxiv.org/abs/2011.01542v1
• [cs.AI]Necessary and Sufficient Explanations in Abstract Argumentation
AnneMarie Borg, Floris Bex
http://arxiv.org/abs/2011.02414v1
• [cs.AI]New Ideas for Brain Modelling 7
Kieran Greer
http://arxiv.org/abs/2011.02223v1
• [cs.AI]Rearrangement: A Challenge for Embodied AI
Dhruv Batra, Angel X. Chang, Sonia Chernova, Andrew J. Davison, Jia Deng, Vladlen Koltun, Sergey Levine, Jitendra Malik, Igor Mordatch, Roozbeh Mottaghi, Manolis Savva, Hao Su
http://arxiv.org/abs/2011.01975v1
• [cs.AI]Simulation of Human and Artificial Emotion (SHArE)
Kwadwo Opong-Mensah
http://arxiv.org/abs/2011.02151v1
• [cs.AI]Valuing Player Actions in Counter-Strike: Global Offensive
Peter Xenopoulos, Harish Doraiswamy, Claudio Silva
http://arxiv.org/abs/2011.01324v2
• [cs.CC]PCP Theorems, SETH and More: Towards Proving Sub-linear Time Inapproximability
Hengzhao Ma, Jianzhong Li
http://arxiv.org/abs/2011.02320v1
• [cs.CG]Affine invariant triangulations
Prosenjit Bose, Pilar Cano, Rodrigo I. Silveira
http://arxiv.org/abs/2011.02197v1
• [cs.CL]A BERT-based Dual Embedding Model for Chinese Idiom Prediction
Minghuan Tan, Jing Jiang
http://arxiv.org/abs/2011.02378v1
• [cs.CL]Augmenting Images for ASR and TTS through Single-loop and Dual-loop Multimodal Chain Framework
Johanes Effendi, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
http://arxiv.org/abs/2011.02099v1
• [cs.CL]Chinese Grammatical Correction Using BERT-based Pre-trained Model
Hongfei Wang, Michiki Kurosawa, Satoru Katsumata, Mamoru Komachi
http://arxiv.org/abs/2011.02093v1
• [cs.CL]Conditioned Text Generation with Transfer for Closed-Domain Dialogue Systems
Stéphane d’Ascoli, Alice Coucke, Francesco Caltagirone, Alexandre Caulier, Marc Lelarge
http://arxiv.org/abs/2011.02143v1
• [cs.CL]Cross-Lingual Machine Speech Chain for Javanese, Sundanese, Balinese, and Bataks Speech Recognition and Synthesis
Sashi Novitasari, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
http://arxiv.org/abs/2011.02128v1
• [cs.CL]Data Augmentation for End-to-end Code-switching Speech Recognition
Chenpeng Du, Hao Li, Yizhou Lu, Lan Wang, Yanmin Qian
http://arxiv.org/abs/2011.02160v1
• [cs.CL]Exhaustive Entity Recognition for Coptic: Challenges and Solutions
Amir Zeldes, Lance Martin, Sichang Tu
http://arxiv.org/abs/2011.02068v1
• [cs.CL]Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training
Dongha Choi, Hyunju Lee
http://arxiv.org/abs/2011.02207v1
• [cs.CL]Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations
Ke Tran, Ming Tan
http://arxiv.org/abs/2011.02050v1
• [cs.CL]Hybrid Supervised Reinforced Model for Dialogue Systems
Carlos Miranda, Yacine Kessaci
http://arxiv.org/abs/2011.02243v1
• [cs.CL]Incremental Machine Speech Chain Towards Enabling Listening while Speaking in Real-time
Sashi Novitasari, Andros Tjandra, Tomoya Yanagita, Sakriani Sakti, Satoshi Nakamura
http://arxiv.org/abs/2011.02126v1
• [cs.CL]Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages
Kushal Jain, Adwait Deshpande, Kumar Shridhar, Felix Laumann, Ayushman Dash
http://arxiv.org/abs/2011.02323v1
• [cs.CL]Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization
Tristan Thrush, Ethan Wilcox, Roger Levy
http://arxiv.org/abs/2011.02417v1
• [cs.CL]Neural text normalization leveraging similarities of strings and sounds
Riku Kawamura, Tatsuya Aoki, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura
http://arxiv.org/abs/2011.02173v1
• [cs.CL]Optimizing Transformer for Low-Resource Neural Machine Translation
Ali Araabi, Christof Monz
http://arxiv.org/abs/2011.02266v1
• [cs.CL]PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents
Ryo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki, Kentaro Inui
http://arxiv.org/abs/2011.02121v1
• [cs.CL]Probing Multilingual BERT for Genetic and Typological Signals
Taraka Rama, Lisa Beinborn, Steffen Eger
http://arxiv.org/abs/2011.02070v1
• [cs.CL]Sequence-to-Sequence Learning via Attention Transfer for Incremental Speech Recognition
Sashi Novitasari, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
http://arxiv.org/abs/2011.02127v1
• [cs.CL]SimulMT to SimulST: Adapting Simultaneous Text Translation to End-to-End Simultaneous Speech Translation
Xutai Ma, Juan Pino, Philipp Koehn
http://arxiv.org/abs/2011.02048v1
• [cs.CL]Sound Natural: Content Rephrasing in Dialog Systems
Arash Einolghozati, Anchit Gupta, Keith Diedrick, Sonal Gupta
http://arxiv.org/abs/2011.01993v1
• [cs.CL]Treebanking User-Generated Content: a UD Based Overview of Guidelines, Corpora and Unified Recommendations
Manuela Sanguinetti, Lauren Cassidy, Cristina Bosco, Özlem Çetinoğlu, Alessandra Teresa Cignarella, Teresa Lynn, Ines Rehbein, Josef Ruppenhofer, Djamé Seddah, Amir Zeldes
http://arxiv.org/abs/2011.02063v1
• [cs.CR]BaFFLe: Backdoor detection via Feedback-based Federated Learning
Sebastien Andreina, Giorgia Azzurra Marson, Helen Möllering, Ghassan Karame
http://arxiv.org/abs/2011.02167v1
• [cs.CR]Not fit for Purpose: A critical analysis of the ‘Five Safes’
Chris Culnane, Benjamin I. P. Rubinstein, David Watts
http://arxiv.org/abs/2011.02142v1
• [cs.CV]A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions
René Schuster, Christian Unger, Didier Stricker
http://arxiv.org/abs/2011.01603v2
• [cs.CV]An Improved Attention for Visual Question Answering
Tanzila Rahman, Shih-Han Chou, Leonid Sigal, Giuseppe Carenini
http://arxiv.org/abs/2011.02164v1
• [cs.CV]BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh
Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng
http://arxiv.org/abs/2011.02242v1
• [cs.CV]Channel Planting for Deep Neural Networks using Knowledge Distillation
Kakeru Mitsuno, Yuichiro Nomura, Takio Kurita
http://arxiv.org/abs/2011.02390v1
• [cs.CV]CoT-AMFlow: Adaptive Modulation Network with Co-Teaching Strategy for Unsupervised Optical Flow Estimation
Hengli Wang, Rui Fan, Ming Liu
http://arxiv.org/abs/2011.02156v1
• [cs.CV]Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors
Yuki Inoue, Hiroto Nagayoshi
http://arxiv.org/abs/2011.02208v1
• [cs.CV]DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search
Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang
http://arxiv.org/abs/2011.02166v1
• [cs.CV]Deep Image Compositing
He Zhang, Jianming Zhang, Federico Perazzi, Zhe Lin, Vishal M. Patel
http://arxiv.org/abs/2011.02146v1
• [cs.CV]Deep Learning Framework to Detect Face Masks from Video Footage
Aniruddha Srinivas Joshi, Shreyas Srinivas Joshi, Goutham Kanahasabai, Rudraksh Kapil, Savyasachi Gupta
http://arxiv.org/abs/2011.02371v1
• [cs.CV]Deep Multimodality Learning for UAV Video Aesthetic Quality Assessment
Qi Kuang, Xin Jin, Qinping Zhao, Bin Zhou
http://arxiv.org/abs/2011.02356v1
• [cs.CV]Effective Fusion Factor in FPN for Tiny Object Detection
Yuqi Gong, Xuehui Yu, Yao Ding, Xiaoke Peng, Jian Zhao, Zhenjun Han
http://arxiv.org/abs/2011.02298v1
• [cs.CV]FDRN: A Fast Deformable Registration Network for Medical Images
Kaicong Sun, Sven Simon
http://arxiv.org/abs/2011.02307v1
• [cs.CV]Face Morphing Attack Generation & Detection: A Comprehensive Survey
Sushma Venkatesh, Raghavendra Ramachandra, Kiran Raja, Christoph Busch
http://arxiv.org/abs/2011.02045v1
• [cs.CV]Fairness in Biometrics: a figure of merit to assess biometric verification systems
Tiago de Freitas Pereira, Sébastien Marcel
http://arxiv.org/abs/2011.02395v1
• [cs.CV]Few-Shot Font Generation with Deep Metric Learning
Haruka Aoki, Koki Tsubota, Hikaru Ikuta, Kiyoharu Aizawa
http://arxiv.org/abs/2011.02206v1
• [cs.CV]Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
Kakeru Mitsuno, Takio Kurita
http://arxiv.org/abs/2011.02389v1
• [cs.CV]Graph Based Temporal Aggregation for Video Retrieval
Arvind Srinivasan, Aprameya Bharadwaj, Aveek Saha, Subramanyam Natarajan
http://arxiv.org/abs/2011.02426v1
• [cs.CV]Handwriting Classification for the Analysis of Art-Historical Documents
Christian Bartz, Hendrik Rätz, Christoph Meinel
http://arxiv.org/abs/2011.02264v1
• [cs.CV]Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios
Filip Pałka, Wojciech Książek, Paweł Pławiak, Michał Romaszewski, Kamil Książek
http://arxiv.org/abs/2011.02188v1
• [cs.CV]Learning Discriminative Representations for Fine-Grained Diabetic Retinopathy Grading
Li Tian, Liyan Ma, Zhijie Wen, Shaorong Xie, Yupeng Xu
http://arxiv.org/abs/2011.02120v1
• [cs.CV]Learning Visual Representations for Transfer Learning by Suppressing Texture
Shlok Mishra, Anshul Shah, Ankan Bansal, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David Jacobs
http://arxiv.org/abs/2011.01901v2
• [cs.CV]Leveraging Temporal Joint Depths for Improving 3D Human Pose Estimation in Video
Naoki Kato, Hiroto Honda, Yusuke Uchida
http://arxiv.org/abs/2011.02172v1
• [cs.CV]Low cost enhanced security face recognition with stereo cameras
Biel Tura Vecino, Martí Cobos, Philippe Salembier
http://arxiv.org/abs/2011.02222v1
• [cs.CV]Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds
Yara Ali, Mohamed Afifi, Karim Amer, Mohamed Elhelw
http://arxiv.org/abs/2011.01974v1
• [cs.CV]Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model
Zheheng Jiang, Feixiang Zhou, Aite Zhao, Xin Li, Ling Li, Dacheng Tao, Xuelong Li, Huiyu Zhou
http://arxiv.org/abs/2011.02451v1
• [cs.CV]NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing
Zitong Yu, Jun Wan, Yunxiao Qin, Xiaobai Li, Stan Z. Li, Guoying Zhao
http://arxiv.org/abs/2011.02062v1
• [cs.CV]Pixel-wise Dense Detector for Image Inpainting
Ruisong Zhang, Weize Quan, Baoyuan Wu, Zhifeng Li, Dong-Ming Yan
http://arxiv.org/abs/2011.02293v1
• [cs.CV]Realtime CNN-based Keypoint Detector with Sobel Filter and CNN-based Descriptor Trained with Keypoint Candidates
Xun Yuan, Ke Hu, Song Chen
http://arxiv.org/abs/2011.02119v1
• [cs.CV]Registration Loss Learning for Deep Probabilistic Point Set Registration
Felix Järemo Lawin, Per-Erik Forssén
http://arxiv.org/abs/2011.02229v1
• [cs.CV]S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation
Yuan Cheng, Yuchao Yang, Yuchao Yang, Ngai Wong, Hao Yu
http://arxiv.org/abs/2011.02265v1
• [cs.CV]SD-Measure: A Social Distancing Detector
Savyasachi Gupta, Rudraksh Kapil, Goutham Kanahasabai, Shreyas Srinivas Joshi, Aniruddha Srinivas Joshi
http://arxiv.org/abs/2011.02365v1
• [cs.CV]Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning
Enrique Sanchez, Adrian Bulat, Anestis Zaganidis, Georgios Tzimiropoulos
http://arxiv.org/abs/2011.01864v2
• [cs.CV]Single Image Human Proxemics Estimation for Visual Social Distancing
Maya Aghaei, Matteo Bustreo, Yiming Wang, Gianluca Bailo, Pietro Morerio, Alessio Del Bue
http://arxiv.org/abs/2011.02018v1
• [cs.CV]The Forchheim Image Database for Camera Identification in the Wild
Benjamin Hadwiger, Christian Riess
http://arxiv.org/abs/2011.02241v1
• [cs.CV]VEGA: Towards an End-to-End Configurable AutoML Pipeline
Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Xiaozhi Fang, Ning Kang, Lanqing Hong, Wei Zhang, Yong Li, Zhicheng Liu, Zhenguo Li, Wenzhi Liu, Tong Zhang
http://arxiv.org/abs/2011.01507v2
• [cs.CV]Video Generative Adversarial Networks: A Review
Nuha Aldausari, Arcot Sowmya, Nadine Marcus, Gelareh Mohammadi
http://arxiv.org/abs/2011.02250v1
• [cs.CV]Weed Density and Distribution Estimation for Precision Agriculture using Semi-Supervised Learning
Shantam Shorewala, Armaan Ashfaque, Sidharth R, Ujjwal Verma
http://arxiv.org/abs/2011.02193v1
• [cs.CY]Ideal theory in AI ethics
Daniel Estrada
http://arxiv.org/abs/2011.02279v1
• [cs.CY]Identity and Personhood in Digital Democracy: Evaluating Inclusion, Equality, Security, and Privacy in Pseudonym Parties and Other Proofs of Personhood
Bryan Ford
http://arxiv.org/abs/2011.02412v1
• [cs.CY]On the Moral Justification of Statistical Parity
Corinna Hertweck, Christoph Heitz, Michele Loi
http://arxiv.org/abs/2011.02079v1
• [cs.CY]Ridesharing Services and Car-Seats: Technological Perceptions and Usage Patterns
Subasish Das
http://arxiv.org/abs/2011.02277v1
• [cs.CY]Trustworthy AI
Richa Singh, Mayank Vatsa, Nalini Ratha
http://arxiv.org/abs/2011.02272v1
• [cs.CY]VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement
Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz, John Shawe-Taylor
http://arxiv.org/abs/2011.02273v1
• [cs.DB]Palette diagram: A Python package for visualization of collective categorical data
Chihiro Noguchi, Tatsuro Kawamoto
http://arxiv.org/abs/2011.01934v1
• [cs.DC]A Self-stabilizing Control Plane for the Edge and Fog Ecosystems
Zacharias Georgiou, Chryssis Georgiou, George Pallis, Elad Michael Schiller, Demetris Trihinas
http://arxiv.org/abs/2011.02190v1
• [cs.DC]An Empirical-cum-Statistical Approach to Power-Performance Characterization of Concurrent GPU Kernels
Nilanjan Goswami, Amer Qouneh, Chao Li, Tao Li
http://arxiv.org/abs/2011.02368v1
• [cs.DC]Asynchrony and Acceleration in Gossip Algorithms
Mathieu Even, Hadrien Hendrikx, Laurent Massoulié
http://arxiv.org/abs/2011.02379v1
• [cs.DC]Distributing Sparse Matrix/Graph Applications in Heterogeneous Clusters — an Experimental Study
Charilaos Tzovas, Maria Predari, Henning Meyerhenke
http://arxiv.org/abs/2011.01814v2
• [cs.DC]Hints and Principles for Computer System Design
Butler Lampson
http://arxiv.org/abs/2011.02455v1
• [cs.DC]Reactive Proof Labeling Schemes for Distributed Decision
Jiaqi Chen, Shlomi Dolev, Shay Kutten
http://arxiv.org/abs/2011.02224v1
• [cs.DC]Understanding Capacity-Driven Scale-Out Neural Recommendation Inference
Michael Lui, Yavuz Yetim, Özgür Özkan, Zhuoran Zhao, Shin-Yeh Tsai, Carole-Jean Wu, Mark Hempstead
http://arxiv.org/abs/2011.02084v1
• [cs.DS]Algorithms and Hardness for Linear Algebra on Geometric Graphs
Josh Alman, Timothy Chu, Aaron Schild, Zhao Song
http://arxiv.org/abs/2011.02466v1
• [cs.DS]Beyond Worst-case Analysis of Multicore Caching Strategies
Shahin Kamali, Helen Xu
http://arxiv.org/abs/2011.02046v1
• [cs.DS]Greedy $k$-Center from Noisy Distance Samples
Neharika Jali, Nikhil Karamchandani, Sharayu Moharir
http://arxiv.org/abs/2011.01973v1
• [cs.GT]Maximizing Welfare with Incentive-Aware Evaluation Mechanisms
Nika Haghtalab, Nicole Immorlica, Brendan Lucier, Jack Z. Wang
http://arxiv.org/abs/2011.01956v1
• [cs.IR]Deoscillated Graph Collaborative Filtering
Zhiwei Liu, Lin Meng, Jiawei Zhang, Philip S. Yu
http://arxiv.org/abs/2011.02100v1
• [cs.IR]Diversity Aware Relevance Learning for Argument Search
Michael Fromm, Max Berrendor, Sandra Obermeier, Thomas Seidl, Evgeniy Faerman
http://arxiv.org/abs/2011.02177v1
• [cs.IR]Generative Inverse Deep Reinforcement Learning for Online Recommendation
Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu
http://arxiv.org/abs/2011.02248v1
• [cs.IR]Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu, Wentao Zhang, Fei Sun, Bin Cui
http://arxiv.org/abs/2011.02260v1
• [cs.IR]University of Washington at TREC 2020 Fairness Ranking Track
Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, Chirag Shah
http://arxiv.org/abs/2011.02066v1
• [cs.IT]Cooperative Multi-Beam Routing for Multi-IRS Aided Massive MIMO
Weidong Mei, Rui Zhang
http://arxiv.org/abs/2011.02354v1
• [cs.IT]Learned Decimation for Neural Belief Propagation Decoders
Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
http://arxiv.org/abs/2011.02161v1
• [cs.IT]Spectral Efficiency of Dense Multicell Massive MIMO Networks in Spatially Correlated Channels
FahimeSadat Mirhosseini, Aliakbar Tadaion, S. Mohammad Razavizadeh
http://arxiv.org/abs/2011.02138v1
• [cs.IT]Transfer Learning and Meta Learning Based Fast Downlink Beamforming Adaptation
Yi Yuan, Gan Zheng, Kai-Kit Wong, Björn Ottersten, Zhi-Quan Luo
http://arxiv.org/abs/2011.00903v1
• [cs.IT]Two-timescale Beamforming Optimization for Intelligent Reflecting Surface Aided Multiuser Communication with QoS Constraints
Ming-Min Zhao, An Liu, Yubo Wan, Rui Zhang
http://arxiv.org/abs/2011.02237v1
• [cs.LG](Un)fairness in Post-operative Complication Prediction Models
Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher R. King
http://arxiv.org/abs/2011.02036v1
• [cs.LG]A Neuro-Symbolic Method for Solving Differential and Functional Equations
Maysum Panju, Ali Ghodsi
http://arxiv.org/abs/2011.02415v1
• [cs.LG]A Scalable Approach for Privacy-Preserving Collaborative Machine Learning
Jinhyun So, Basak Guler, A. Salman Avestimehr
http://arxiv.org/abs/2011.01963v1
• [cs.LG]A Variant of the Wang-Foster-Kakade Lower Bound for the Discounted Setting
Philip Amortila, Nan Jiang, Tengyang Xie
http://arxiv.org/abs/2011.01075v2
• [cs.LG]AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient
Hoang Tran, Guannan Zhang
http://arxiv.org/abs/2011.02009v1
• [cs.LG]An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya
http://arxiv.org/abs/2011.01783v2
• [cs.LG]Analysing Long Short Term Memory Models for Cricket Match Outcome Prediction
Rahul Chakwate, Madhan R A
http://arxiv.org/abs/2011.02122v1
• [cs.LG]Bayesian Variational Optimization for Combinatorial Spaces
Tony C. Wu, Daniel Flam-Shepherd, Alán Aspuru-Guzik
http://arxiv.org/abs/2011.02004v1
• [cs.LG]Control with adaptive Q-learning
João Pedro Araújo, Mário A. T. Figueiredo, Miguel Ayala Botto
http://arxiv.org/abs/2011.02141v1
• [cs.LG]Debiasing classifiers: is reality at variance with expectation?
Ashrya Agrawal, Florian Pfisterer, Bernd Bischl, Jiahao Chen, Srijan Sood, Sameena Shah, Francois Buet-Golfouse, Bilal A Mateen, Sebastian Vollmer
http://arxiv.org/abs/2011.02407v1
• [cs.LG]EAdam Optimizer: How $ε$ Impact Adam
Wei Yuan, Kai-Xin Gao
http://arxiv.org/abs/2011.02150v1
• [cs.LG]Federated Knowledge Distillation
Hyowoon Seo, Jihong Park, Seungeun Oh, Mehdi Bennis, Seong-Lyun Kim
http://arxiv.org/abs/2011.02367v1
• [cs.LG]HypperSteer: Hypothetical Steering and Data Perturbation in Sequence Prediction with Deep Learning
Chuan Wang, Kwan-Liu Ma
http://arxiv.org/abs/2011.02149v1
• [cs.LG]Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning
Alexander Wong, Andrew Hryniowski, Xiao Yu Wang
http://arxiv.org/abs/2011.01961v1
• [cs.LG]Integrating Deep-Learning-Based Image Completion and Motion Planning to Expedite Indoor Mapping
Shmuel Y. Hayoun, Elchanan Zwecher, Eran Iceland, Ahavatya Revivo, Sean R. Levy, Ariel Barel
http://arxiv.org/abs/2011.02043v1
• [cs.LG]Latent Causal Invariant Model
Xinwei Sun, Botong Wu, Chang Liu, Xiangyu Zheng, Wei Chen, Tao Qin, Tie-yan Liu
http://arxiv.org/abs/2011.02203v1
• [cs.LG]Mixing Consistent Deep Clustering
Daniel Lutscher, Ali el Hassouni, Maarten Stol, Mark Hoogendoorn
http://arxiv.org/abs/2011.01977v1
• [cs.LG]No more 996: Understanding Deep Learning Inference Serving with an Automatic Benchmarking system
Huaizheng Zhang, Yizheng Huang, Yonggang Wen, Jianxiong Yin, Kyle Guan
http://arxiv.org/abs/2011.02327v1
• [cs.LG]Node-Centric Graph Learning from Data for Brain State Identification
Nafiseh Ghoroghchian, David M. Groppe, Roman Genov, Taufik A. Valiante, Stark C. Draper
http://arxiv.org/abs/2011.02179v1
• [cs.LG]On Self-Distilling Graph Neural Network
Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang
http://arxiv.org/abs/2011.02255v1
• [cs.LG]On the
60f6
Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow
Youssef Mroueh, Truyen Nguyen
http://arxiv.org/abs/2011.02402v1
• [cs.LG]Rank Based Pseudoinverse Computation in Extreme Learning Machine for Large Datasets
Ramesh Ragala, Bharadwaja kumar
http://arxiv.org/abs/2011.02436v1
• [cs.LG]Reverse engineering learned optimizers reveals known and novel mechanisms
Niru Maheswaranathan, David Sussillo, Luke Metz, Ruoxi Sun, Jascha Sohl-Dickstein
http://arxiv.org/abs/2011.02159v1
• [cs.LG]Stochastic Hard Thresholding Algorithms for AUC Maximization
Zhenhuan Yang, Baojian Zhou, Yunwen Lei, Yiming Ying
http://arxiv.org/abs/2011.02396v1
• [cs.NI]Multi-hop Routing with Proactive Route Refinement for 60 GHz Millimeter-Wave Networks
Chanaka Samarathunga, Mohamed Abouelseoudy, Kazuyuki Sakodaz, Morteza Hashemi
http://arxiv.org/abs/2011.02053v1
• [cs.RO]A Comprehensive LiDAR-based SLAM Comparison for Control of Unmanned Aerial Vehicles
Robert Milijas, Lovro Markovic, Antun Ivanovic, Frano Petric, Stjepan Bogdan
http://arxiv.org/abs/2011.02306v1
• [cs.RO]A Modular Robotic Arm Control Stack for Research: Franka-Interface and FrankaPy
Kevin Zhang, Mohit Sharma, Jacky Liang, Oliver Kroemer
http://arxiv.org/abs/2011.02398v1
• [cs.RO]A Multi-Resolution Frontier-Based Planner for Autonomous 3D Exploration
Ana Batinović, Tamara Petrović, Antun Ivanovic, Frano Petric, Stjepan Bogdan
http://arxiv.org/abs/2011.02182v1
• [cs.RO]Autonomous Wall Building with a UGV-UAV Team at MBZIRC 2020
Christian Lenz, Max Schwarz, Andre Rochow, Jan Razlaw, Arul Selvam Periyasamy, Michael Schreiber, Sven Behnke
http://arxiv.org/abs/2011.01999v1
• [cs.RO]DeepReach: A Deep Learning Approach to High-Dimensional Reachability
Somil Bansal, Claire Tomlin
http://arxiv.org/abs/2011.02082v1
• [cs.RO]Dynamics Randomization Revisited:A Case Study for Quadrupedal Locomotion
Zhaoming Xie, Xingye Da, Michiel van de Panne, Buck Babich, Animesh Garg
http://arxiv.org/abs/2011.02404v1
• [cs.RO]Face-work for Human-Agent Joint Decision-Making
JiHyun Jeong, Guy Hoffman
http://arxiv.org/abs/2011.01969v1
• [cs.RO]Learning 3D Dynamic Scene Representations for Robot Manipulation
Zhenjia Xu, Zhanpeng He, Jiajun Wu, Shuran Song
http://arxiv.org/abs/2011.01968v1
• [cs.RO]MBVI: Model-Based Value Initialization for Reinforcement Learning
Xubo Lyu, Site Li, Seth Siriya, Ye Pu, Mo Chen
http://arxiv.org/abs/2011.02073v1
• [cs.RO]Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together
Shanqi Liu, Licheng Wen, Jinhao Cui, Xuemeng Yang, Junjie Cao, Yong Liu
http://arxiv.org/abs/2011.02373v1
• [cs.RO]Planning to Chronicle
Hazhar Rahmani, Dylan A. Shell, Jason M. O’Kane
http://arxiv.org/abs/2011.02135v1
• [cs.RO]Robust Entry Vehicle Guidance with Sampling-Based Invariant Funnels
Remy Derollez, Simon Le Cleac’h, Zachary Manchester
http://arxiv.org/abs/2011.02441v1
• [cs.RO]Soft Robot Optimal Control Via Reduced Order Finite Element Models
Sander Tonkens, Joseph Lorenzetti, Marco Pavone
http://arxiv.org/abs/2011.02092v1
• [cs.RO]Toward Force Estimation in Robot-Assisted Surgery using Deep Learning with Vision and Robot State
Zonghe Chua, Anthony M. Jarc, Allison M. Okamura
http://arxiv.org/abs/2011.02112v1
• [cs.RO]Toward Impact-resilient Quadrotor Design, Collision Characterization and Recovery Control to Sustain Flight after Collisions
Zhichao Liu, Konstantinos Karydis
http://arxiv.org/abs/2011.02061v1
• [cs.RO]Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps
Jialiang Zhao, Daniel Troniak, Oliver Kroemer
http://arxiv.org/abs/2011.02462v1
• [cs.RO]When Shall I Be Empathetic? The Utility of Empathetic Parameter Estimation in Multi-Agent Interactions
Yi Chen, Lei Zhang, Tanner Merry, Sunny Amatya, Wenlong Zhang, Yi Ren
http://arxiv.org/abs/2011.02047v1
• [cs.SD]Can We Trust Deep Speech Prior?
Ying Shi, Haolin Chen, Zhiyuan Tang, Lantian Li, Dong Wang, Jiqing Han
http://arxiv.org/abs/2011.02110v1
• [cs.SD]Single channel voice separation for unknown number of speakers under reverberant and noisy settings
Shlomo E. Chazan, Lior Wolf, Eliya Nachmani, Yossi Adi
http://arxiv.org/abs/2011.02329v1
• [cs.SI]A Survey on Contact Tracing: the Latest Advancements and Challenges
Ting Jiang, Yizheng Chen, Yang Zhang, Minhao Zhang, Chenhao Lu, Ji Zhang, Zhao Li, Jun Gao, Shuigeng Zhou
http://arxiv.org/abs/2011.02094v1
• [cs.SI]Adaptive Test Allocation for Outbreak Detection and Tracking in Social Contact Networks
Pau Batlle, Joan Bruna, Carlos Fernandez-Granda, Victor M. Preciado
http://arxiv.org/abs/2011.01998v1
• [cs.SI]The Role of Time, Weather and Google Trends in Understanding and Predicting Web Survey Response
Qixiang Fang, Joep Burger, Ralph Meijers, Kees van Berkel
http://arxiv.org/abs/2011.02034v1
• [cs.SI]The dynamics of U.S. college network formation on Facebook
Jan Overgoor, Bogdan State, Lada Adamic
http://arxiv.org/abs/2011.01967v1
• [econ.EM]Adaptive Combinatorial Allocation
Maximilian Kasy, Alexander Teytelboym
http://arxiv.org/abs/2011.02330v1
• [econ.GN]The polarizing impact of numeracy, economic literacy, and science literacy on attitudes toward immigration
Lucia Savadori, Giuseppe Espa, Maria Michela Dickson
http://arxiv.org/abs/2011.02362v1
• [eess.AS]Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition
Zhong Meng, Sarangarajan Parthasarathy, Eric Sun, Yashesh Gaur, Naoyuki Kanda, Liang Lu, Xie Chen, Rui Zhao, Jinyu Li, Yifan Gong
http://arxiv.org/abs/2011.01991v1
• [eess.AS]Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech
Sri Karlapati, Ammar Abbas, Zack Hodari, Alexis Moinet, Arnaud Joly, Penny Karanasou, Thomas Drugman
http://arxiv.org/abs/2011.02252v1
• [eess.AS]Unsupervised Pattern Discovery from Thematic Speech Archives Based on Multilingual Bottleneck Features
Man-Ling Sung, Siyuan Feng, Tan Lee
http://arxiv.org/abs/2011.01986v1
• [eess.IV]Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective
Shao-Cheng Wen, Yu-Jen Chen, Zihao Liu, Wujie Wen, Xiaowei Xu, Yiyu Shi, Tsung-Yi Ho, Qianjun Jia, Meiping Huang, Jian Zhuang
http://arxiv.org/abs/2011.02155v1
• [eess.IV]Noise Reduction to Compute Tissue Mineral Density and Trabecular Bone Volume Fraction from Low Resolution QCT
Felix Thomsen, José M. Fuertes García, Manuel Lucena, Juan Pisula, Rodrigo de Luis García, Jan Broggrefe, Claudio Delrieux
http://arxiv.org/abs/2011.02382v1
• [eess.IV]Robust Super-Resolution of Real Faces using Smooth Features
Saurabh Goswami, Aakanksha, Rajagopalan A. N
http://arxiv.org/abs/2011.02427v1
• [eess.IV]Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs
Lin Liu, Shanxin Yuan, Jianzhuang Liu, Liping Bao, Gregory Slabaugh, Qi Tian
http://arxiv.org/abs/2011.02055v1
• [eess.IV]Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation
Han Liu, Can Cui, Dario J. Englot, Benoit M. Dawant
http://arxiv.org/abs/2011.02067v1
• [eess.SP]Correlation based Multi-phasal models for improved imagined speech EEG recognition
Rini A Sharon, Hema A Murthy
http://arxiv.org/abs/2011.02195v1
• [eess.SP]Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale Problems
Marcelo V. W. Zibetti, Gabor T. Herman, Ravinder R. Regatte
http://arxiv.org/abs/2011.02322v1
• [eess.SP]SISO RIS-Enabled Joint 3D Downlink Localization and Synchronization
Kamran Keykhosravi, Musa Furkan Keskin, Gonzalo Seco-Granados, Henk Wymeersch
http://arxiv.org/abs/2011.02391v1
• [eess.SY]Online Observer-Based Inverse Reinforcement Learning
Ryan Self, Kevin Coleman, He Bai, Rushikesh Kamalapurkar
http://arxiv.org/abs/2011.02057v1
• [math.OC]Convolutional Proximal Neural Networks and Plug-and-Play Algorithms
Johannes Hertrich, Sebastian Neumayer, Gabriele Steidl
http://arxiv.org/abs/2011.02281v1
• [math.ST]Concentration Inequalities for Statistical Inference
Huiming Zhang, Song Xi Chen
http://arxiv.org/abs/2011.02258v1
• [math.ST]Kernel Mean Embedding of Probability Measures and its Applications to Functional Data Analysis
Saeed Hayati, Kenji Fukumizu, Afshin Parvardeh
http://arxiv.org/abs/2011.02315v1
• [math.ST]On Ordered Fuzzy Numbers Generated By Time Series
C. Gast, R. Traylor
http://arxiv.org/abs/2011.01980v1
• [math.ST]Testing (Infinitely) Many Zero Restrictions
Jonathan B. Hill
http://arxiv.org/abs/2011.01983v1
• [q-bio.GN]A deep learning classifier for local ancestry inference
Matthew Aguirre, Jan Sokol, Guhan Venkataraman, Alexander Ioannidis
http://arxiv.org/abs/2011.02081v1
• [q-bio.PE]Estimating the evolution of effective infection fatality rates during the course of the COVID-19 pandemic in Germany
Christian Staerk, Tobias Wistuba, Andreas Mayr
http://arxiv.org/abs/2011.02420v1
• [q-bio.PE]Phylogenetic reconstruction of the cultural evolution of electronic music via dynamic community detection (1975-1999)
Mason Youngblood, Karim Baraghith, Patrick E. Savage
http://arxiv.org/abs/2011.02460v1
• [quant-ph]Power of data in quantum machine learning
Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, Jarrod R. McClean
http://arxiv.org/abs/2011.01938v1
• [stat.AP]Airborne Laser Scanning Based Timber Volume Estimation Using National Forest Inventory and Forest Management Inventory Data — a Comparison
Johannes Rahlf, Marius Hauglin, Rasmus Astrup, Johannes Breidenbach
http://arxiv.org/abs/2011.02051v1
• [stat.AP]Context-specific volume-delay curves by combining crowd-sourced traffic data with Automated Traffic Counters (ATC): a case study for London
Gerard Casey, Bingyu Zhao, Krishna Kumar, Kenichi Soga
http://arxiv.org/abs/2011.01964v1
• [stat.AP]Particulate Matter Exposure and Lung Cancer: A Review of two Meta-Analysis Studies
S. Stanley Young, Warren Kindzierski
http://arxiv.org/abs/2011.02399v1
• [stat.ME]Joint Curve Registration and Classification with Two-level Functional Models
Lin Tang, Pengcheng Zeng, Jian Qing Shi, Won-Seok Kim
http://arxiv.org/abs/2011.02304v1
• [stat.ML]Advantage of Deep Neural Networks for Estimating Functions with Singularity on Curves
Masaaki Imaizumi, Kenji Fukumizu
http://arxiv.org/abs/2011.02256v1
• [stat.ML]Capped norm linear discriminant analysis and its applications
Jiakou Liu, Xiong Xiong, Pei-Wei Ren, Da Zhao, Chun-Na Li, Yuan-Hai Shao
http://arxiv.org/abs/2011.02147v1
• [stat.ML]Causal Autoregressive Flows
Ilyes Khemakhem, Ricardo Pio Monti, Robert Leech, Aapo Hyvärinen
http://arxiv.org/abs/2011.02268v1
• [stat.ML]Graph Enhanced High Dimensional Kernel Regression
E. Pei, E. Fokoué
http://arxiv.org/abs/2011.01990v1
• [stat.ML]High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
Kristjan Greenewald, Dmitriy Katz-Rogozhnikov, Karthik Shanmugam
http://arxiv.org/abs/2011.01979v1
• [stat.ML]Learning to Rank with Missing Data via Generative Adversarial Networks
Grace Deng, Cuize Han, David S. Matteson
http://arxiv.org/abs/2011.02089v1
• [stat.ML]Quantized Variational Inference
Amir Dib
http://arxiv.org/abs/2011.02271v1
• [stat.ML]Residual Likelihood Forests
Yan Zuo, Tom Drummond
http://arxiv.org/abs/2011.02086v1
• [stat.ML]Which Minimizer Does My Neural Network Converge To?
Manuel Nonnenmacher, David Reeb, Ingo Steinwart
http://arxiv.org/abs/2011.02408v1
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