cond-mat.soft - 软凝聚物质

    cs.AI - 人工智能 cs.CC - 计算复杂度 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.HC - 人机接口 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 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 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.chem-ph -化学物理 physics.med-ph - 医学物理学 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.soft]Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders
    • [cs.AI]Domain-independent generation and classification of behavior traces
    • [cs.AI]EEGS: A Transparent Model of Emotions
    • [cs.AI]EM Based Bounding of Unidentifiable Queries in Structural Causal Models
    • [cs.CC]PCP Theorems, SETH and More: Towards Proving Sub-linear Time Inapproximability
    • [cs.CL]Adversarial Context Aware Network Embeddings for Textual Networks
    • [cs.CL]CODER: Knowledge infused cross-lingual medical term embedding for term normalization
    • [cs.CL]Competence-Level Prediction and Resume & Job Description Matching Using Context-Aware Transformer Models
    • [cs.CL]Context-Aware Answer Extraction in Question Answering
    • [cs.CL]Data Augmentation and Terminology Integration for Domain-Specific Sinhala-English-Tamil Statistical Machine Translation
    • [cs.CL]Detecting Hallucinated Content in Conditional Neural Sequence Generation
    • [cs.CL]Entity Linking in 100 Languages
    • [cs.CL]Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions?
    • [cs.CL]From Sentiment Annotations to Sentiment Prediction through Discourse Augmentation
    • [cs.CL]Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games
    • [cs.CL]Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources
    • [cs.CL]Improving Event Duration Prediction via Time-aware Pre-training
    • [cs.CL]Investigating Societal Biases in a Poetry Composition System
    • [cs.CL]Joint Entity and Relation Extraction with Set Prediction Networks
    • [cs.CL]Language Model is All You Need: Natural Language Understanding as Question Answering
    • [cs.CL]Learning Efficient Task-Specific Meta-Embeddings with Word Prisms
    • [cs.CL]Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP
    • [cs.CL]MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision
    • [cs.CL]MK-SQuIT: Synthesizing Questions using Iterative Template-filling
    • [cs.CL]MTLB-STRUCT @PARSEME 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models
    • [cs.CL]NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis
    • [cs.CL]Paralinguistic Privacy Protection at the Edge
    • [cs.CL]QMUL-SDS @ DIACR-ITA2020: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian
    • [cs.CL]Quantifying Intimacy in Language
    • [cs.CR]Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA
    • [cs.CR]Towards Dark Jargon Interpretation in Underground Forums
    • [cs.CR]Training Transformers for Information Security Tasks: A Case Study on Malicious URL Prediction
    • [cs.CV]AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection
    • [cs.CV]An analysis of the transfer learning of convolutional neural networks for artistic images
    • [cs.CV]Center-wise Local Image Mixture For Contrastive Representation Learning
    • [cs.CV]CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
    • [cs.CV]DTGAN: Dual Attention Generative Adversarial Networks for Text-to-Image Generation
    • [cs.CV]DUDE: Deep Unsigned Distance Embeddings for Hi-Fidelity Representation of Complex 3D Surfaces
    • [cs.CV]Deep Active Learning with Augmentation-based Consistency Estimation
    • [cs.CV]Deep Metric Learning with Spherical Embedding
    • [cs.CV]Defense-friendly Images in Adversarial Attacks: Dataset and Metrics forPerturbation Difficulty
    • [cs.CV]Disentangling Latent Space for Unsupervised Semantic Face Editing
    • [cs.CV]Fast Object Detection with Latticed Multi-Scale Feature Fusion
    • [cs.CV]Few-Shot Object Detection in Real Life: Case Study on Auto-Harvest
    • [cs.CV]GPR-based Model Reconstruction System for Underground Utilities Using GPRNet
    • [cs.CV]Goal-driven Long-Term Trajectory Prediction
    • [cs.CV]Hyperrealistic Image Inpainting with Hypergraphs
    • [cs.CV]Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
    • [cs.CV]Improved Algorithm for Seamlessly Creating Infinite Loops from a Video Clip, while Preserving Variety in Textures
    • [cs.CV]Learning and Evaluating Representations for Deep One-class Classification
    • [cs.CV]Lets Play Music: Audio-driven Performance Video Generation
    • [cs.CV]Monitoring the Impact of Wildfires on Tree Species with Deep Learning
    • [cs.CV]Multi-layer Feature Aggregation for Deep Scene Parsing Models
    • [cs.CV]Mutual Modality Learning for Video Action Classification
    • [cs.CV]Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models
    • [cs.CV]Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers
    • [cs.CV]Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
    • [cs.CV]This Looks Like That, Because … Explaining Prototypes for Interpretable Image Recognition
    • [cs.CV]Transforming Facial Weight of Real Images by Editing Latent Space of StyleGAN
    • [cs.CV]UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for Aerial Surveillance
    • [cs.CV]Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises Loss
    • [cs.CV]Universal Multi-Source Domain Adaptation
    • [cs.CV]Utilizing Every Image Object for Semi-supervised Phrase Grounding
    • [cs.CY]The Gray Rhino of Pandemic Preparedness: Proactive digital, data, and organizational infrastructure to help humanity build resilience in the face of pandemics
    • [cs.CY]The State of AI Ethics Report (October 2020)
    • [cs.DB]Predict and Write: Using K-Means Clustering to Extend the Lifetime of NVM Storage
    • [cs.DC]An Empirical-cum-Statistical Approach to Power-Performance Characterization of Concurrent GPU Kernels
    • [cs.DC]Datasets for Benchmarking Floating-Point Compressors
    • [cs.DC]Machine Learning Framwork for Performance Anomaly in OpenMP Multi-Threaded Systems
    • [cs.DC]On the Analysis of Spatially Constrained Power of Two Choice Policies
    • [cs.DC]Simulation-Based Performance Prediction of HPC Applications: A Case Study of HPL
    • [cs.DC]Video Big Data Analytics in the Cloud: Research Issues and Challenges
    • [cs.DS]Instance Based Approximations to Profile Maximum Likelihood
    • [cs.HC]Towards Usability Guidelines for the Design of Effective Arabic Websites: Design Practices and Lessons Focusing on Font and Image usage
    • [cs.IT]An Orbital Construction of Optimum Distance Flag Codes
    • [cs.IT]An Orthogonality Principle for Select-Maximum Estimation of Exponential Variables
    • [cs.IT]Binary Neural Network Aided CSI Feedback in Massive MIMO System
    • [cs.IT]Coherent Flag Codes
    • [cs.IT]Compressed Sensing with Upscaled Vector Approximate Message Passing
    • [cs.IT]GMM-based Symbol Error Rate Prediction for Multicarrier Systems with Impulsive Noise Suppression
    • [cs.IT]Incremental Refinements and Multiple Descriptions with Feedback
    • [cs.IT]Independent Gaussian Distributions Minimize the Kullback-Leibler (KL) Divergence from Independent Gaussian Distributions
    • [cs.IT]On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications
    • [cs.IT]On cyclic LRC codes that are also LCD codes
    • [cs.IT]Straggler Mitigation through Unequal Error Protection for Distributed Matrix Multiplication
    • [cs.LG]A Black-Box Attack Model for Visually-Aware Recommender Systems
    • [cs.LG]AML-SVM: Adaptive Multilevel Learning with Support Vector Machines
    • [cs.LG]Adaptive Stress Testing of Trajectory Predictions in Flight Management Systems
    • [cs.LG]Against Adversarial Learning: Naturally Distinguish Known and Unknown in Open Set Domain Adaptation
    • [cs.LG]Amortized Conditional Normalized Maximum Likelihood
    • [cs.LG]An SMT-Based Approach for Verifying Binarized Neural Networks
    • [cs.LG]Architecture Agnostic Neural Networks
    • [cs.LG]Binary classification with ambiguous training data
    • [cs.LG]CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery
    • [cs.LG]Collaborative City Digital Twin For Covid-19 Pandemic: A Federated Learning Solution
    • [cs.LG]Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks
    • [cs.LG]Data Augmentation via Structured Adversarial Perturbations
    • [cs.LG]Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection
    • [cs.LG]Direction Matters: On the Implicit Regularization Effect of Stochastic Gradient Descent with Moderate Learning Rate
    • [cs.LG]Diversity-Enriched Option-Critic
    • [cs.LG]Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent
    • [cs.LG]Generalized Negative Correlation Learning for Deep Ensembling
    • [cs.LG]Generating Unobserved Alternatives: A Case Study through Super-Resolution and Decompression
    • [cs.LG]Gradient-Based Empirical Risk Minimization using Local Polynomial Regression
    • [cs.LG]HILONet: Hierarchical Imitation Learning from Non-Aligned Observations
    • [cs.LG]Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity
    • [cs.LG]Intriguing Properties of Contrastive Losses
    • [cs.LG]Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
    • [cs.LG]Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping
    • [cs.LG]Measuring Data Collection Quality for Community Healthcare
    • [cs.LG]Merchant Category Identification Using Credit Card Transactions
    • [cs.LG]Mixed Set Domain Adaptation
    • [cs.LG]On the Information Complexity of Proper Learners for VC Classes in the Realizable Case
    • [cs.LG]Pitfalls in Machine Learning Research: Reexamining the Development Cycle
    • [cs.LG]Predictive Process Model Monitoring using Recurrent Neural Networks
    • [cs.LG]Re-Assessing the “Classify and Count” Quantification Method
    • [cs.LG]Representation Matters: Improving Perception and Exploration for Robotics
    • [cs.LG]Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
    • [cs.LG]Sampled Nonlocal Gradients for Stronger Adversarial Attacks
    • [cs.LG]Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization
    • [cs.LG]Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets
    • [cs.LG]Teaching with Commentaries
    • [cs.LG]Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization
    • [cs.MA]Social Choice with Changing Preferences: Representation Theorems and Long-Run Policies
    • [cs.MM]A multi-level approach with visual information for encrypted H.265/HEVC videos
    • [cs.NI]Multi-hop Routing with Proactive Route Refinement for 60 GHz Millimeter-Wave Networks
    • [cs.NI]Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks
    • [cs.RO]A Comparison Between Joint Space and Task Space Mappings for Dynamic Teleoperation of an Anthropomorphic Robotic Arm in Reaction Tests
    • [cs.RO]Asynchronous Deep Model Reference Adaptive Control
    • [cs.RO]Capture Steps: Robust Walking for Humanoid Robots
    • [cs.RO]Compositional Scalable Object SLAM
    • [cs.RO]Generating Large-Scale Trajectories Efficiently using Descriptions of Polynomials
    • [cs.RO]Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss
    • [cs.RO]Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning
    • [cs.RO]Learning a Centroidal Motion Planner for Legged Locomotion
    • [cs.RO]Learning a Decentralized Multi-arm Motion Planner
    • [cs.RO]Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in Robot-Assisted Feeding
    • [cs.RO]ROS-Mobile: An Android application for the Robot Operating System
    • [cs.RO]The dynamic effect of mechanical losses of actuators on the equations of motion of legged robots
    • [cs.RO]Why robots should be technical: Correcting mental models through technical architecture concepts
    • [cs.SD]BW-EDA-EEND: Streaming End-to-End Neural Speaker Diarization for a Variable Number of Speakers
    • [cs.SD]From Note-Level to Chord-Level Neural Network Models for Voice Separation in Symbolic Music
    • [cs.SD]Influence of Event Duration on Automatic Wheeze Classification
    • [cs.SD]Query Expansion System for the VoxCeleb Speaker Recognition Challenge 2020
    • [cs.SD]Semi-supervised Learning for Singing Synthesis Timbre
    • [cs.SD]VAW-GAN for Disentanglement and Recomposition of Emotional Elements in Speech
    • [cs.SE]Obstacles in Fully Automatic Program Repair: A survey
    • [cs.SI]Opinion Dynamics with Varying Susceptibility to Persuasion via Non-Convex Local Search
    • [cs.SI]Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation
    • [econ.GN]Bitcoin’s future carbon footprint
    • [econ.GN]Social Media and Political Contributions: The Impact of New Technology on Political Competition
    • [eess.AS]Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples
    • [eess.AS]Domain Adaptation Using Class Similarity for Robust Speech Recognition
    • [eess.AS]Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR
    • [eess.AS]Multi-Accent Adaptation based on Gate Mechanism
    • [eess.IV]A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning
    • [eess.IV]A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation
    • [eess.IV]DR-Unet104 for Multimodal MRI brain tumor segmentation
    • [eess.IV]DeepReg: a deep learning toolkit for medical image registration
    • [eess.SP]Inter-Cell Interference and Load Balancing Aware Access Point Placement in Small-Cell Networks
    • [math.CO]Common Complements of Linear Subspaces and the Sparseness of MRD Codes
    • [math.CO]Exact Phase Transitions of Model RB with Slower-Growing Domains
    • [math.NA]Neural networks for classification of strokes in electrical impedance tomography on a 3D head model
    • [math.NA]Upwind Summation By Parts Finite Difference Methods for Large Scale Elastic Wave Simulations In Complex Geometries
    • [math.OC]Simple and optimal methods for stochastic variational inequalities, I: operator extrapolation
    • [math.OC]Stochastic Approximation for High-frequency Observations in Data Assimilation
    • [math.ST]Motif Estimation via Subgraph Sampling: The Fourth Moment Phenomenon
    • [physics.chem-ph]Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces
    • [physics.med-ph]Deep learning for biomedical photoacoustic imaging: A review
    • [q-bio.PE]Phylogenetic reconstruction of the cultural evolution of electronic music via dynamic community detection (1975-1999)
    • [q-bio.QM]RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
    • [quant-ph]Absence of Barren Plateaus in Quantum Convolutional Neural Networks
    • [stat.AP]Airborne Laser Scanning Based Timber Volume Estimation Using National Forest Inventory and Forest Management Inventory Data — a Comparison
    • [stat.AP]These Unprecedented Times: The Dynamic Pattern Of COVID-19 Deaths Around The World
    • [stat.ME]A general modelling framework for open wildlife populations based on the Polya Tree prior
    • [stat.ME]Accurate inference in negative binomial regression
    • [stat.ME]Heterogeneity in General Multinomial Choice Models
    • [stat.ML]A Bregman Method for Structure Learning on Sparse Directed Acyclic Graphs
    • [stat.ML]Fast Rates for Contextual Linear Optimization
    • [stat.ML]Filtering for Aggregate Hidden Markov Models with Continuous Observations
    • [stat.ML]Nonparametric Variable Screening with Optimal Decision Stumps

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    • [cond-mat.soft]Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders
    Rohit Batra, Hanjun Dai, Tran Doan Huan, Lihua Chen, Chiho Kim, Will R. Gutekunst, Le Song, Rampi Ramprasad
    http://arxiv.org/abs/2011.02551v1

    • [cs.AI]Domain-independent generation and classification of behavior traces
    Daniel Borrajo, Manuela Veloso
    http://arxiv.org/abs/2011.02918v1

    • [cs.AI]EEGS: A Transparent Model of Emotions
    Suman Ojha, Jonathan Vitale, Mary-Anne Williams
    http://arxiv.org/abs/2011.02573v1

    • [cs.AI]EM Based Bounding of Unidentifiable Queries in Structural Causal Models
    Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas
    http://arxiv.org/abs/2011.02912v1

    • [cs.CC]PCP Theorems, SETH and More: Towards Proving Sub-linear Time Inapproximability
    Hengzhao Ma, Jianzhong Li
    http://arxiv.org/abs/2011.02320v2

    • [cs.CL]Adversarial Context Aware Network Embeddings for Textual Networks
    Tony Gracious, Ambedkar Dukkipati
    http://arxiv.org/abs/2011.02665v1

    • [cs.CL]CODER: Knowledge infused cross-lingual medical term embedding for term normalization
    Zheng Yuan, Zhengyun Zhao, Sheng Yu
    http://arxiv.org/abs/2011.02947v1

    • [cs.CL]Competence-Level Prediction and Resume & Job Description Matching Using Context-Aware Transformer Models
    Changmao Li, Elaine Fisher, Rebecca Thomas, Steve Pittard, Vicki Hertzberg, Jinho D. Choi
    http://arxiv.org/abs/2011.02998v1

    • [cs.CL]Context-Aware Answer Extraction in Question Answering
    Yeon Seonwoo, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh
    http://arxiv.org/abs/2011.02687v1

    • [cs.CL]Data Augmentation and Terminology Integration for Domain-Specific Sinhala-English-Tamil Statistical Machine Translation
    Aloka Fernando, Surangika Ranathunga, Gihan Dias
    http://arxiv.org/abs/2011.02821v1

    • [cs.CL]Detecting Hallucinated Content in Conditional Neural Sequence Generation
    Chunting Zhou, Jiatao Gu, Mona Diab, Paco Guzman, Luke Zettlemoyer, Marjan Ghazvininejad
    http://arxiv.org/abs/2011.02593v1

    • [cs.CL]Entity Linking in 100 Languages
    Jan A. Botha, Zifei Shan, Daniel Gillick
    http://arxiv.org/abs/2011.02690v1

    • [cs.CL]Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions?
    Laura Oberländer, Kevin Reich, Roman Klinger
    http://arxiv.org/abs/2011.01599v2

    • [cs.CL]From Sentiment Annotations to Sentiment Prediction through Discourse Augmentation
    Patrick Huber, Giuseppe Carenini
    http://arxiv.org/abs/2011.03021v1

    • [cs.CL]Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games
    Alessandro Suglia, Antonio Vergari, Ioannis Konstas, Yonatan Bisk, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon
    http://arxiv.org/abs/2011.02917v1

    • [cs.CL]Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources
    Qianglong Chen, Feng Ji, Haiqing Chen, Yin Zhang
    http://arxiv.org/abs/2011.02705v1

    • [cs.CL]Improving Event Duration Prediction via Time-aware Pre-training
    Zonglin Yang, Xinya Du, Alexander Rush, Claire Cardie
    http://arxiv.org/abs/2011.02610v1

    • [cs.CL]Investigating Societal Biases in a Poetry Composition System
    Emily Sheng, David Uthus
    http://arxiv.org/abs/2011.02686v1

    • [cs.CL]Joint Entity and Relation Extraction with Set Prediction Networks
    Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Xiangrong Zeng, Shengping Liu
    http://arxiv.org/abs/2011.01675v2

    • [cs.CL]Language Model is All You Need: Natural Language Understanding as Question Answering
    Mahdi Namazifar, Alexandros Papangelis, Gokhan Tur, Dilek Hakkani-Tür
    http://arxiv.org/abs/2011.03023v1

    • [cs.CL]Learning Efficient Task-Specific Meta-Embeddings with Word Prisms
    Jingyi He, KC Tsiolis, Kian Kenyon-Dean, Jackie Chi Kit Cheung
    http://arxiv.org/abs/2011.02944v1

    • [cs.CL]Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP
    Julia Kreutzer, Stefan Riezler, Carolin Lawrence
    http://arxiv.org/abs/2011.02511v1

    • [cs.CL]MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision
    Patrick Huber, Giuseppe Carenini
    http://arxiv.org/abs/2011.03017v1

    • [cs.CL]MK-SQuIT: Synthesizing Questions using Iterative Template-filling
    Benjamin A. Spiegel, Vincent Cheong, James E. Kaplan, Anthony Sanchez
    http://arxiv.org/abs/2011.02566v1

    • [cs.CL]MTLB-STRUCT @PARSEME 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models
    Shiva Taslimipoor, Sara Bahaadini, Ekaterina Kochmar
    http://arxiv.org/abs/2011.02541v1

    • [cs.CL]NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis
    Xiaoyu Guo, Jing Ma, Arkaitz Zubiaga
    http://arxiv.org/abs/2011.02788v1

    • [cs.CL]Paralinguistic Privacy Protection at the Edge
    Ranya Aloufi, Hamed Haddadi, David Boyle
    http://arxiv.org/abs/2011.02930v1

    • [cs.CL]QMUL-SDS @ DIACR-ITA2020: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian
    Rabab Alkhalifa, Adam Tsakalidis, Arkaitz Zubiaga, Maria Liakata
    http://arxiv.org/abs/2011.02935v1

    • [cs.CL]Quantifying Intimacy in Language
    Jiaxin Pei, David Jurgens
    http://arxiv.org/abs/2011.03020v1

    • [cs.CR]Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA
    Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan
    http://arxiv.org/abs/2011.03006v1

    • [cs.CR]Towards Dark Jargon Interpretation in Underground Forums
    Dominic Seyler, Wei Liu, XiaoFeng Wang, ChengXiang Zhai
    http://arxiv.org/abs/2011.03011v1

    • [cs.CR]Training Transformers for Information Security Tasks: A Case Study on Malicious URL Prediction
    Ethan M. Rudd, Ahmed Abdallah
    http://arxiv.org/abs/2011.03040v1

    • [cs.CV]AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection
    Hao Zhu, Chaoyou Fu, Qianyi Wu, Wayne Wu, Chen Qian, Ran He
    http://arxiv.org/abs/2011.02674v1

    • [cs.CV]An analysis of the transfer learning of convolutional neural networks for artistic images
    Nicolas Gonthier, Yann Gousseau, Saïd Ladjal
    http://arxiv.org/abs/2011.02727v1

    • [cs.CV]Center-wise Local Image Mixture For Contrastive Representation Learning
    Hao Li, Xiaopeng Zhang, Ruoyu Sun, Hongkai Xiong, Qi Tian
    http://arxiv.org/abs/2011.02697v1

    • [cs.CV]CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
    Jean Bégaint, Fabien Racapé, Simon Feltman, Akshay Pushparaja
    http://arxiv.org/abs/2011.03029v1

    • [cs.CV]DTGAN: Dual Attention Generative Adversarial Networks for Text-to-Image Generation
    Zhenxing Zhang, Lambert Schomaker
    http://arxiv.org/abs/2011.02709v1

    • [cs.CV]DUDE: Deep Unsigned Distance Embeddings for Hi-Fidelity Representation of Complex 3D Surfaces
    Rahul Venkatesh, Sarthak Sharma, Aurobrata Ghosh, Laszlo Jeni, Maneesh Singh
    http://arxiv.org/abs/2011.02570v1

    • [cs.CV]Deep Active Learning with Augmentation-based Consistency Estimation
    SeulGi Hong, Heonjin Ha, Junmo Kim, Min-Kook Choi
    http://arxiv.org/abs/2011.02666v1

    • [cs.CV]Deep Metric Learning with Spherical Embedding
    Dingyi Zhang, Yingming Li, Zhongfei Zhang
    http://arxiv.org/abs/2011.02785v1

    • [cs.CV]Defense-friendly Images in Adversarial Attacks: Dataset and Metrics forPerturbation Difficulty
    Camilo Pestana, Wei Liu, David Glance, Ajmal Mian
    http://arxiv.org/abs/2011.02675v1

    • [cs.CV]Disentangling Latent Space for Unsupervised Semantic Face Editing
    Kanglin Liu, Gaofeng Cao, Fei Zhou, Bozhi Liu, Jiang Duan, Guoping Qiu
    http://arxiv.org/abs/2011.02638v1

    • [cs.CV]Fast Object Detection with Latticed Multi-Scale Feature Fusion
    Yue Shi, Bo Jiang, Zhengping Che, Jian Tang
    http://arxiv.org/abs/2011.02780v1

    • [cs.CV]Few-Shot Object Detection in Real Life: Case Study on Auto-Harvest
    Kevin Riou, Jingwen Zhu, Suiyi Ling, Mathis Piquet, Vincent Truffault, Patrick Le Callet
    http://arxiv.org/abs/2011.02719v1

    • [cs.CV]GPR-based Model Reconstruction System for Underground Utilities Using GPRNet
    Jinglun Feng, Liang Yang, Ejup Hoxha, Stanislav Sotnikov, Diar Sanakov, Jizhong Xiao
    http://arxiv.org/abs/2011.02635v1

    • [cs.CV]Goal-driven Long-Term Trajectory Prediction
    Hung Tran, Vuong Le, Truyen Tran
    http://arxiv.org/abs/2011.02751v1

    • [cs.CV]Hyperrealistic Image Inpainting with Hypergraphs
    Gourav Wadhwa, Abhinav Dhall, Subrahmanyam Murala, Usman Tariq
    http://arxiv.org/abs/2011.02904v1

    • [cs.CV]Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
    Mike Roberts, Nathan Paczan
    http://arxiv.org/abs/2011.02523v1

    • [cs.CV]Improved Algorithm for Seamlessly Creating Infinite Loops from a Video Clip, while Preserving Variety in Textures
    Kunjal Panchal
    http://arxiv.org/abs/2011.02579v1

    • [cs.CV]Learning and Evaluating Representations for Deep One-class Classification
    Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister
    http://arxiv.org/abs/2011.02578v1

    • [cs.CV]Lets Play Music: Audio-driven Performance Video Generation
    Hao Zhu, Yi Li, Feixia Zhu, Aihua Zheng, Ran He
    http://arxiv.org/abs/2011.02631v1

    • [cs.CV]Monitoring the Impact of Wildfires on Tree Species with Deep Learning
    Wang Zhou, Levente Klein
    http://arxiv.org/abs/2011.02514v1

    • [cs.CV]Multi-layer Feature Aggregation for Deep Scene Parsing Models
    Litao Yu, Yongsheng Gao, Jun Zhou, Jian Zhang, Qiang Wu
    http://arxiv.org/abs/2011.02572v1

    • [cs.CV]Mutual Modality Learning for Video Action Classification
    Stepan Komkov, Maksim Dzabraev, Aleksandr Petiushko
    http://arxiv.org/abs/2011.02543v1

    • [cs.CV]Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models
    Chulin Wang, Eloisa Bentivegna, Wang Zhou, Levente Klein, Bruce Elmegreen
    http://arxiv.org/abs/2011.02519v1

    • [cs.CV]Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers
    Zhaoshuo Li, Xingtong Liu, Francis X. Creighton, Russell H. Taylor, Mathias Unberath
    http://arxiv.org/abs/2011.02910v1

    • [cs.CV]Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
    Xuanzhao Wang, Zhengping Che, Ke Yang, Bo Jiang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi
    http://arxiv.org/abs/2011.02763v1

    • [cs.CV]This Looks Like That, Because … Explaining Prototypes for Interpretable Image Recognition
    Meike Nauta, Annemarie Jutte, Jesper Provoost, Christin Seifert
    http://arxiv.org/abs/2011.02863v1

    • [cs.CV]Transforming Facial Weight of Real Images by Editing Latent Space of StyleGAN
    V N S Rama Krishna Pinnimty, Matt Zhao, Palakorn Achananuparp, Ee-Peng Lim
    http://arxiv.org/abs/2011.02606v1

    • [cs.CV]UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for Aerial Surveillance
    Ilker Bozcan, Erdal Kayacan
    http://arxiv.org/abs/2011.02853v1

    • [cs.CV]Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises Loss
    Yuanxin Zhong, Minghan Zhu, Huei Peng
    http://arxiv.org/abs/2011.02553v1

    • [cs.CV]Universal Multi-Source Domain Adaptation
    Yueming Yin, Zhen Yang, Haifeng Hu, Xiaofu Wu
    http://arxiv.org/abs/2011.02594v1

    • [cs.CV]Utilizing Every Image Object for Semi-supervised Phrase Grounding
    Haidong Zhu, Arka Sadhu, Zhaoheng Zheng, Ram Nevatia
    http://arxiv.org/abs/2011.02655v1

    • [cs.CY]The Gray Rhino of Pandemic Preparedness: Proactive digital, data, and organizational infrastructure to help humanity build resilience in the face of pandemics
    Abhishek Gupta
    http://arxiv.org/abs/2011.02773v1

    • [cs.CY]The State of AI Ethics Report (October 2020)
    Abhishek Gupta, Alexandrine Royer, Victoria Heath, Connor Wright, Camylle Lanteigne, Allison Cohen, Marianna Bergamaschi Ganapini, Muriam Fancy, Erick Galinkin, Ryan Khurana, Mo Akif, Renjie Butalid, Falaah Arif Khan, Masa Sweidan, Audrey Balogh
    http://arxiv.org/abs/2011.02787v1

    • [cs.DB]Predict and Write: Using K-Means Clustering to Extend the Lifetime of NVM Storage
    Saeed Kargar, Heiner Litz, Faisal Nawab
    http://arxiv.org/abs/2011.02556v1

    • [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/2011.02368v2

    • [cs.DC]Datasets for Benchmarking Floating-Point Compressors
    Fabian Knorr, Peter Thoman, Thomas Fahringer
    http://arxiv.org/abs/2011.02849v1

    • [cs.DC]Machine Learning Framwork for Performance Anomaly in OpenMP Multi-Threaded Systems
    Weidong Wang, Wangda Luo
    http://arxiv.org/abs/2011.02914v1

    • [cs.DC]On the Analysis of Spatially Constrained Power of Two Choice Policies
    Nitish K. Panigrahy, Prithwish Basu, Don Towsley, Ananthram Swami, Kin K. Leung
    http://arxiv.org/abs/2011.02653v1

    • [cs.DC]Simulation-Based Performance Prediction of HPC Applications: A Case Study of HPL
    Gen Xu, Huda Ibeid, Xin Jiang, Vjekoslav Svilan, Zhaojuan Bian
    http://arxiv.org/abs/2011.02617v1

    • [cs.DC]Video Big Data Analytics in the Cloud: Research Issues and Challenges
    Aftab Alam, Shah Khalid, Muhammad Numan Khan, Tariq Habib Afridi, Irfan Ullah, Young-Koo Lee
    http://arxiv.org/abs/2011.02694v1

    • [cs.DS]Instance Based Approximations to Profile Maximum Likelihood
    Nima Anari, Moses Charikar, Kirankumar Shiragur, Aaron Sidford
    http://arxiv.org/abs/2011.02761v1

    • [cs.HC]Towards Usability Guidelines for the Design of Effective Arabic Websites: Design Practices and Lessons Focusing on Font and Image usage
    Abdallah Namoun, Ahmad B. Alkhodre
    http://arxiv.org/abs/2011.02933v1

    • [cs.IT]An Orbital Construction of Optimum Distance Flag Codes
    Clementa Alonso-González, Miguel Ángel Navarro-Pérez, Xaro Soler-Escrivà
    http://arxiv.org/abs/2011.02724v1

    • [cs.IT]An Orthogonality Principle for Select-Maximum Estimation of Exponential Variables
    Uri Erez, Jan Østergaard, Ram Zamir
    http://arxiv.org/abs/2011.02750v1

    • [cs.IT]Binary Neural Network Aided CSI Feedback in Massive MIMO System
    Zhilin Lu, Jintao Wang, Jian Song
    http://arxiv.org/abs/2011.02692v1

    • [cs.IT]Coherent Flag Codes
    Clementa Alonso-González, Miguel Ángel Navarro-Pérez
    http://arxiv.org/abs/2011.02734v1

    • [cs.IT]Compressed Sensing with Upscaled Vector Approximate Message Passing
    Nikolajs Skuratovs, Michael Davies
    http://arxiv.org/abs/org/abs/2011.01369v1

    • [cs.IT]GMM-based Symbol Error Rate Prediction for Multicarrier Systems with Impulsive Noise Suppression
    Nikola Rozic, Paolo Banelli, Dinko Begusic, Josko Radic
    http://arxiv.org/abs/2011.02792v1

    • [cs.IT]Incremental Refinements and Multiple Descriptions with Feedback
    Jan Østergaard, Uri Erez, Ram Zamir
    http://arxiv.org/abs/2011.02747v1

    • [cs.IT]Independent Gaussian Distributions Minimize the Kullback-Leibler (KL) Divergence from Independent Gaussian Distributions
    Song Fang, Quanyan Zhu
    http://arxiv.org/abs/2011.02560v1

    • [cs.IT]On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications
    Chengshuai Shi, Cong Shen
    http://arxiv.org/abs/org/abs/2011.01090v1

    • [cs.IT]On cyclic LRC codes that are also LCD codes
    Charul Rajput, Maheshanand Bhaintwal
    http://arxiv.org/abs/2011.02805v1

    • [cs.IT]Straggler Mitigation through Unequal Error Protection for Distributed Matrix Multiplication
    Busra Tegin, Eduin E. Hernandez, Stefano Rini, Tolga M. Duman
    http://arxiv.org/abs/2011.02749v1

    • [cs.LG]A Black-Box Attack Model for Visually-Aware Recommender Systems
    Rami Cohen, Oren Sar Shalom, Dietmar Jannach, Amihood Amir
    http://arxiv.org/abs/2011.02701v1

    • [cs.LG]AML-SVM: Adaptive Multilevel Learning with Support Vector Machines
    Ehsan Sadrfaridpour, Korey Palmer, Ilya Safro
    http://arxiv.org/abs/2011.02592v1

    • [cs.LG]Adaptive Stress Testing of Trajectory Predictions in Flight Management Systems
    Robert J. Moss, Ritchie Lee, Nicholas Visser, Joachim Hochwarth, James G. Lopez, Mykel J. Kochenderfer
    http://arxiv.org/abs/2011.02559v1

    • [cs.LG]Against Adversarial Learning: Naturally Distinguish Known and Unknown in Open Set Domain Adaptation
    Sitong Mao, Xiao Shen, Fu-lai Chung
    http://arxiv.org/abs/2011.02876v1

    • [cs.LG]Amortized Conditional Normalized Maximum Likelihood
    Aurick Zhou, Sergey Levine
    http://arxiv.org/abs/2011.02696v1

    • [cs.LG]An SMT-Based Approach for Verifying Binarized Neural Networks
    Guy Amir, Haoze Wu, Clark Barrett, Guy Katz
    http://arxiv.org/abs/2011.02948v1

    • [cs.LG]Architecture Agnostic Neural Networks
    Sabera Talukder, Guruprasad Raghavan, Yisong Yue
    http://arxiv.org/abs/2011.02712v1

    • [cs.LG]Binary classification with ambiguous training data
    Naoya Otani, Yosuke Otsubo, Tetsuya Koike, Masashi Sugiyama
    http://arxiv.org/abs/2011.02598v1

    • [cs.LG]CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery
    Kiwan Maeng, Shivam Bharuka, Isabel Gao, Mark C. Jeffrey, Vikram Saraph, Bor-Yiing Su, Caroline Trippel, Jiyan Yang, Mike Rabbat, Brandon Lucia, Carole-Jean Wu
    http://arxiv.org/abs/2011.02999v1

    • [cs.LG]Collaborative City Digital Twin For Covid-19 Pandemic: A Federated Learning Solution
    Junjie Pang, Jianbo Li, Zhenzhen Xie, Yan Huang, Zhipeng Cai
    http://arxiv.org/abs/2011.02883v1

    • [cs.LG]Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks
    David Peer, Sebastian Stabinger, Antonio Rodriguez-Sanchez
    http://arxiv.org/abs/2011.02956v1

    • [cs.LG]Data Augmentation via Structured Adversarial Perturbations
    Calvin Luo, Hossein Mobahi, Samy Bengio
    http://arxiv.org/abs/2011.03010v1

    • [cs.LG]Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection
    Hao Fu, Akshaj Kumar Veldanda, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami
    http://arxiv.org/abs/2011.02526v1

    • [cs.LG]Direction Matters: On the Implicit Regularization Effect of Stochastic Gradient Descent with Moderate Learning Rate
    Jingfeng Wu, Difan Zou, Vladimir Braverman, Quanquan Gu
    http://arxiv.org/abs/2011.02538v1

    • [cs.LG]Diversity-Enriched Option-Critic
    Anand Kamat, Doina Precup
    http://arxiv.org/abs/2011.02565v1

    • [cs.LG]Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent
    Dimitris Fotakis, Thanasis Lianeas, Georgios Piliouras, Stratis Skoulakis
    http://arxiv.org/abs/2011.02817v1

    • [cs.LG]Generalized Negative Correlation Learning for Deep Ensembling
    Sebastian Buschjäger, Lukas Pfahler, Katharina Morik
    http://arxiv.org/abs/2011.02952v1

    • [cs.LG]Generating Unobserved Alternatives: A Case Study through Super-Resolution and Decompression
    Shichong Peng, Ke Li
    http://arxiv.org/abs/2011.01926v2

    • [cs.LG]Gradient-Based Empirical Risk Minimization using Local Polynomial Regression
    Ali Jadbabaie, Anuran Makur, Devavrat Shah
    http://arxiv.org/abs/2011.02522v1

    • [cs.LG]HILONet: Hierarchical Imitation Learning from Non-Aligned Observations
    Shanqi Liu, Junjie Cao, Wenzhou Chen, Licheng Wen, Yong Liu
    http://arxiv.org/abs/2011.02671v1

    • [cs.LG]Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity
    Tanmay Gangwani, Jian Peng, Yuan Zhou
    http://arxiv.org/abs/2011.02614v1

    • [cs.LG]Intriguing Properties of Contrastive Losses
    Ting Chen, Lala Li
    http://arxiv.org/abs/2011.02803v1

    • [cs.LG]Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
    Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan
    http://arxiv.org/abs/2011.02669v1

    • [cs.LG]Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping
    Khaled Koutini, Florian Henkel, Hamid Eghbal-zadeh, Gerhard Widmer
    http://arxiv.org/abs/2011.02955v1

    • [cs.LG]Measuring Data Collection Quality for Community Healthcare
    Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha, Ruchit Nagar, Saachi Dalal, Divy Thakkar, Milind Tambe
    http://arxiv.org/abs/2011.02962v1

    • [cs.LG]Merchant Category Identification Using Credit Card Transactions
    Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang
    http://arxiv.org/abs/2011.02602v1

    • [cs.LG]Mixed Set Domain Adaptation
    Sitong Mao, Keli Zhang, Fu-lai Chung
    http://arxiv.org/abs/2011.02877v1

    • [cs.LG]On the Information Complexity of Proper Learners for VC Classes in the Realizable Case
    Mahdi Haghifam, Gintare Karolina Dziugaite, Shay Moran, Daniel M. Roy
    http://arxiv.org/abs/2011.02970v1

    • [cs.LG]Pitfalls in Machine Learning Research: Reexamining the Development Cycle
    Stella Biderman, Walter J. Scheirer
    http://arxiv.org/abs/2011.02832v1

    • [cs.LG]Predictive Process Model Monitoring using Recurrent Neural Networks
    Johannes De Smedt, Jochen De Weerdt, Junichiro Mori, Masanao Ochi
    http://arxiv.org/abs/2011.02819v1

    • [cs.LG]Re-Assessing the “Classify and Count” Quantification Method
    Alejandro Moreo, Fabrizio Sebastiani
    http://arxiv.org/abs/2011.02552v1

    • [cs.LG]Representation Matters: Improving Perception and Exploration for Robotics
    Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin Riedmiller
    http://arxiv.org/abs/rg/abs/2011.01758v1

    • [cs.LG]Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
    Siwei Wang, Longbo Huang, John C. S. Lui
    http://arxiv.org/abs/2011.02664v1

    • [cs.LG]Sampled Nonlocal Gradients for Stronger Adversarial Attacks
    Leo Schwinn, Daniel Tenbrinck, An Nguyen, René Raab, Martin Burger, Bjoern Eskofier
    http://arxiv.org/abs/2011.02707v1

    • [cs.LG]Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization
    Antonio Carta, Alessandro Sperduti, Davide Bacciu
    http://arxiv.org/abs/2011.02886v1

    • [cs.LG]Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets
    Lucas Baier, Vincent Kellner, Niklas Kühl, Gerhard Satzger
    http://arxiv.org/abs/2011.02738v1

    • [cs.LG]Teaching with Commentaries
    Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey Hinton
    http://arxiv.org/abs/2011.03037v1

    • [cs.LG]Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization
    Sharu Theresa Jose, Osvaldo Simeone
    http://arxiv.org/abs/2011.02872v1

    • [cs.MA]Social Choice with Changing Preferences: Representation Theorems and Long-Run Policies
    Kshitij Kulkarni, Sven Neth
    http://arxiv.org/abs/2011.02544v1

    • [cs.MM]A multi-level approach with visual information for encrypted H.265/HEVC videos
    Wenying Wen, Rongxin Tu, Yushu Zhang, Yuming Fang, Yong Yang
    http://arxiv.org/abs/2011.02620v1

    • [cs.NI]Multi-hop Routing with Proactive Route Refinement for 60 GHz Millimeter-Wave Networks
    Chanaka Samarathunga, Mohamed Abouelseoud, Kazuyuki Sakoda, Morteza Hashemi
    http://arxiv.org/abs/2011.02053v2

    • [cs.NI]Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks
    Zhiyang Wang, Mark Eisen, Alejandro Ribeiro
    http://arxiv.org/abs/2011.02644v1

    • [cs.RO]A Comparison Between Joint Space and Task Space Mappings for Dynamic Teleoperation of an Anthropomorphic Robotic Arm in Reaction Tests
    Sunyu Wang, Kevin Murphy, Dillan Kenney, Joao Ramos
    http://arxiv.org/abs/2011.02508v1

    • [cs.RO]Asynchronous Deep Model Reference Adaptive Control
    Girish Joshi, Jasvir Virdi, Girish Chowdhary
    http://arxiv.org/abs/2011.02920v1

    • [cs.RO]Capture Steps: Robust Walking for Humanoid Robots
    Marcell Missura, Maren Bennewitz, Sven Behnke
    http://arxiv.org/abs/2011.02793v1

    • [cs.RO]Compositional Scalable Object SLAM
    Akash Sharma, Wei Dong, Michael Kaess
    http://arxiv.org/abs/2011.02658v1

    • [cs.RO]Generating Large-Scale Trajectories Efficiently using Descriptions of Polynomials
    Zhepei Wang, Hongkai Ye, Chao Xu, Fei Gao
    http://arxiv.org/abs/2011.02662v1

    • [cs.RO]Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss
    William Prew, Toby Breckon, Magnus Bordewich, Ulrik Beierholm
    http://arxiv.org/abs/2011.02888v1

    • [cs.RO]Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning
    Le Chen, Yunke Ao, Florian Tschopp, Andrei Cramariuc, Michel Breyer, Jen Jen Chung, Roland Siegwart, Cesar Cadena
    http://arxiv.org/abs/2011.02574v1

    • [cs.RO]Learning a Centroidal Motion Planner for Legged Locomotion
    Julian Viereck, Ludovic Righetti
    http://arxiv.org/abs/2011.02818v1

    • [cs.RO]Learning a Decentralized Multi-arm Motion Planner
    Huy Ha, Jingxi Xu, Shuran Song
    http://arxiv.org/abs/2011.02608v1

    • [cs.RO]Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in Robot-Assisted Feeding
    Ethan K. Gordon, Sumegh Roychowdhury, Tapomayukh Bhattacharjee, Kevin Jamieson, Siddhartha S. Srinivasa
    http://arxiv.org/abs/2011.02604v1

    • [cs.RO]ROS-Mobile: An Android application for the Robot Operating System
    Nils Rottmann, Nico Studt, Floris Ernst, Elmar Rueckert
    http://arxiv.org/abs/2011.02781v1

    • [cs.RO]The dynamic effect of mechanical losses of actuators on the equations of motion of legged robots
    Young-woo Sim, Joao Ramos
    http://arxiv.org/abs/2011.02506v1

    • [cs.RO]Why robots should be technical: Correcting mental models through technical architecture concepts
    Lukas Hindemith, Anna-Lisa Vollmer, Jan Phillip Göpfert, Christiane B. Wiebel-Herboth, Britta Wrede
    http://arxiv.org/abs/2011.02731v1

    • [cs.SD]BW-EDA-EEND: Streaming End-to-End Neural Speaker Diarization for a Variable Number of Speakers
    Eunjung Han, Chul Lee, Andreas Stolcke
    http://arxiv.org/abs/2011.02678v1

    • [cs.SD]From Note-Level to Chord-Level Neural Network Models for Voice Separation in Symbolic Music
    Patrick Gray, Razvan Bunescu
    http://arxiv.org/abs/2011.03028v1

    • [cs.SD]Influence of Event Duration on Automatic Wheeze Classification
    Bruno M. Rocha, Diogo Pessoa, Alda Marques, Paulo Carvalho, Rui Pedro Paiva
    http://arxiv.org/abs/2011.02874v1

    • [cs.SD]Query Expansion System for the VoxCeleb Speaker Recognition Challenge 2020
    Yu-Sen Cheng, Chun-Liang Shih, Tien-Hong Lo, Wen-Ting Tseng, Berlin Chen
    http://arxiv.org/abs/2011.02882v1

    • [cs.SD]Semi-supervised Learning for Singing Synthesis Timbre
    Jordi Bonada, Merlijn Blaauw
    http://arxiv.org/abs/2011.02809v1

    • [cs.SD]VAW-GAN for Disentanglement and Recomposition of Emotional Elements in Speech
    Kun Zhou, Berrak Sisman, Haizhou Li
    http://arxiv.org/abs/2011.02314v1

    • [cs.SE]Obstacles in Fully Automatic Program Repair: A survey
    S. Amirhossein Mousavi, Donya Azizi Babani, Francesco Flammini
    http://arxiv.org/abs/2011.02714v1

    • [cs.SI]Opinion Dynamics with Varying Susceptibility to Persuasion via Non-Convex Local Search
    Rediet Abebe, T-H. Hubert Chan, Jon Kleinberg, Zhibin Liang, David Parkes, Mauro Sozio, Charalampos E. Tsourakakis
    http://arxiv.org/abs/2011.02583v1

    • [cs.SI]Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation
    Diego Kozlowski, Jennifer Dusdal, Jun Pang, Andreas Zilian
    http://arxiv.org/abs/2011.02887v1

    • [econ.GN]Bitcoin’s future carbon footprint
    Shize Qin, Lena Klaaßen, Ulrich Gallersdörfer, Christian Stoll, Da Zhang
    http://arxiv.org/abs/2011.02612v1

    • [econ.GN]Social Media and Political Contributions: The Impact of New Technology on Political Competition
    Maria Petrova, Ananya Sen, Pinar Yildirim
    http://arxiv.org/abs/2011.02924v1

    • [eess.AS]Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples
    P
    bf1
    aul Primus, Verena Haunschmid, Patrick Praher, Gerhard Widmer
    http://arxiv.org/abs/2011.02949v1

    • [eess.AS]Domain Adaptation Using Class Similarity for Robust Speech Recognition
    Han Zhu, Jiangjiang Zhao, Yuling Ren, Li Wang, Pengyuan Zhang
    http://arxiv.org/abs/2011.02782v1

    • [eess.AS]Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR
    Naoyuki Kanda, Zhong Meng, Liang Lu, Yashesh Gaur, Xiaofei Wang, Zhuo Chen, Takuya Yoshioka
    http://arxiv.org/abs/2011.02921v1

    • [eess.AS]Multi-Accent Adaptation based on Gate Mechanism
    Han Zhu, Li Wang, Pengyuan Zhang, Yonghong Yan
    http://arxiv.org/abs/2011.02774v1

    • [eess.IV]A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning
    Jiayun Li, Wenyuan Li, Anthony Sisk, Huihui Ye, W. Dean Wallace, William Speier, Corey W. Arnold
    http://arxiv.org/abs/2011.02679v1

    • [eess.IV]A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation
    Chenggang Lyu, Hai Shu
    http://arxiv.org/abs/2011.02881v1

    • [eess.IV]DR-Unet104 for Multimodal MRI brain tumor segmentation
    Jordan Colman, Lei Zhang, Wenting Duan, Xujiong Ye
    http://arxiv.org/abs/2011.02840v1

    • [eess.IV]DeepReg: a deep learning toolkit for medical image registration
    Yunguan Fu, Nina Montaña Brown, Shaheer U. Saeed, Adrià Casamitjana, Zachary M. C. Baum, Rémi Delaunay, Qianye Yang, Alexander Grimwood, Zhe Min, Stefano B. Blumberg, Juan Eugenio Iglesias, Dean C. Barratt, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu
    http://arxiv.org/abs/2011.02580v1

    • [eess.SP]Inter-Cell Interference and Load Balancing Aware Access Point Placement in Small-Cell Networks
    Govind R. Gopal, Elina Nayebi, Gabriel Porto Villardi, Bhaskar D. Rao
    http://arxiv.org/abs/2011.02591v1

    • [math.CO]Common Complements of Linear Subspaces and the Sparseness of MRD Codes
    Anina Gruica, Alberto Ravagnani
    http://arxiv.org/abs/2011.02993v1

    • [math.CO]Exact Phase Transitions of Model RB with Slower-Growing Domains
    Jun Liu, Ke Xu, Guangyan Zhou
    http://arxiv.org/abs/2011.02700v1

    • [math.NA]Neural networks for classification of strokes in electrical impedance tomography on a 3D head model
    Valentina Candiani, Matteo Santacesaria
    http://arxiv.org/abs/2011.02852v1

    • [math.NA]Upwind Summation By Parts Finite Difference Methods for Large Scale Elastic Wave Simulations In Complex Geometries
    Kenneth Duru, Frederick Fung, Christopher Williams
    http://arxiv.org/abs/2011.02600v1

    • [math.OC]Simple and optimal methods for stochastic variational inequalities, I: operator extrapolation
    Georgios Kotsalis, Guanghui Lan, Tianjiao Li
    http://arxiv.org/abs/2011.02987v1

    • [math.OC]Stochastic Approximation for High-frequency Observations in Data Assimilation
    Shushu Zhang, Vivak Patel
    http://arxiv.org/abs/2011.02672v1

    • [math.ST]Motif Estimation via Subgraph Sampling: The Fourth Moment Phenomenon
    Bhaswar B. Bhattacharya, Sayan Das, Sumit Mukherjee
    http://arxiv.org/abs/2011.03026v1

    • [physics.chem-ph]Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces
    Zhuoran Qiao, Feizhi Ding, Matthew Welborn, Peter J. Bygrave, Animashree Anandkumar, Frederick R. Manby, Thomas F. Miller III
    http://arxiv.org/abs/2011.02680v1

    • [physics.med-ph]Deep learning for biomedical photoacoustic imaging: A review
    Janek Gröhl, Melanie Schellenberg, Kris Dreher, Lena Maier-Hein
    http://arxiv.org/abs/2011.02744v1

    • [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/2011.02460v2

    • [q-bio.QM]RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
    Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang
    http://arxiv.org/abs/2011.02893v1

    • [quant-ph]Absence of Barren Plateaus in Quantum Convolutional Neural Networks
    Arthur Pesah, M. Cerezo, Samson Wang, Tyler Volkoff, Andrew T. Sornborger, Patrick J. Coles
    http://arxiv.org/abs/2011.02966v1

    • [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/2011.02051v2

    • [stat.AP]These Unprecedented Times: The Dynamic Pattern Of COVID-19 Deaths Around The World
    Zixuan Han, Tao Li, Jinghong You
    http://arxiv.org/abs/2011.02824v1

    • [stat.ME]A general modelling framework for open wildlife populations based on the Polya Tree prior
    Alex Diana, Eleni Matechou, Jim Griffin, Todd Arnold, Richard Griffiths, John Pickering, Simone Tenan, Stefano Volponi
    http://arxiv.org/abs/
    /abs/2011.00591v1
    /abs/2011.00591v1)

    • [stat.ME]Accurate inference in negative binomial regression
    Euloge Clovis Kenne Pagui, Alessandra Salvan, Nicola Sartori
    http://arxiv.org/abs/2011.02784v1

    • [stat.ME]Heterogeneity in General Multinomial Choice Models
    Gerhard Tutz, Ingrid Mauerer
    http://arxiv.org/abs/2011.02688v1

    • [stat.ML]A Bregman Method for Structure Learning on Sparse Directed Acyclic Graphs
    Manon Romain, Alexandre d’Aspremont
    http://arxiv.org/abs/2011.02764v1

    • [stat.ML]Fast Rates for Contextual Linear Optimization
    Yichun Hu, Nathan Kallus, Xiaojie Mao
    http://arxiv.org/abs/2011.03030v1

    • [stat.ML]Filtering for Aggregate Hidden Markov Models with Continuous Observations
    Qinsheng Zhang, Rahul Singh, Yongxin Chen
    http://arxiv.org/abs/2011.02521v1

    • [stat.ML]Nonparametric Variable Screening with Optimal Decision Stumps
    Jason M. Klusowski, Peter M. Tian
    http://arxiv.org/abs/2011.02683v1