cond-mat.dis-nn - 无序系统与神经网络
cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CE - 计算工程、 金融和科学 cs.CG - 计算几何学 cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.ET - 新兴技术 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.OH - 其他CS 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 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.DS - 动力系统 math.PR - 概率 math.ST - 统计理论 physics.chem-ph -化学物理 physics.comp-ph - 计算物理学 physics.geo-ph - 地球物理学 q-bio.QM - 定量方法 q-fin.ST - 统计金融学 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cond-mat.dis-nn]High-dimensional inference: a statistical mechanics perspective
• [cs.AI]A Clarifying Question Selection System from NTES_ALONG in Convai3 Challenge
• [cs.AI]A methodology of weed-crop classification based on autonomous models choosing and ensemble
• [cs.AI]Artificial Intelligence Systems applied to tourism: A Survey
• [cs.AI]Formally Verified SAT-Based AI Planning
• [cs.AR]Analysis of Energy Consumption in a Precision Beekeeping System
• [cs.CE]Shape error modelling and simulation of 3D free-form surfaces during early design stage by morphing Gaussian Random Fields
• [cs.CG]Explainable Artificial Intelligence for Manufacturing Cost Estimation and Machining Feature Visualization
• [cs.CL]A Chinese Text Classification Method With Low Hardware Requirement Based on Improved Model Concatenation
• [cs.CL]A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models
• [cs.CL]Bayesian Methods for Semi-supervised Text Annotation
• [cs.CL]Bridging the Modality Gap for Speech-to-Text Translation
• [cs.CL]Character Entropy in Modern and Historical Texts: Comparison Metrics for an Undeciphered Manuscript
• [cs.CL]DGST: a Dual-Generator Network for Text Style Transfer
• [cs.CL]DisenE: Disentangling Knowledge Graph Embeddings
• [cs.CL]DualTKB: A Dual Learning Bridge between Text and Knowledge Base
• [cs.CL]Fine-grained Information Status Classification Using Discourse Context-Aware BERT
• [cs.CL]Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles
• [cs.CL]Handling Class Imbalance in Low-Resource Dialogue Systems by Combining Few-Shot Classification and Interpolation
• [cs.CL]Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus
• [cs.CL]Learning Contextualised Cross-lingual Word Embeddings for Extremely Low-Resource Languages Using Parallel Corpora
• [cs.CL]On the diminishing return of labeling clinical reports
• [cs.CL]Predicting Themes within Complex Unstructured Texts: A Case Study on Safeguarding Reports
• [cs.CL]Second-Order Unsupervised Neural Dependency Parsing
• [cs.CL]Strongly Incremental Constituency Parsing with Graph Neural Networks
• [cs.CL]The Volctrans Machine Translation System for WMT20
• [cs.CL]TopicModel4J: A Java Package for Topic Models
• [cs.CL]Towards Ethics by Design in Online Abusive Content Detection
• [cs.CL]Transformer in action: a comparative study of transformer-based acoustic models for large scale speech recognition applications
• [cs.CL]Unmasking Contextual Stereotypes: Measuring and Mitigating BERT’s Gender Bias
• [cs.CL]WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols
• [cs.CL]What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation
• [cs.CV]AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
• [cs.CV]Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation
• [cs.CV]CompRess: Self-Supervised Learning by Compressing Representations
• [cs.CV]Contour Integration using Graph-Cut and Non-Classical Receptive Field
• [cs.CV]Cycle-Contrast for Self-Supervised Video Representation Learning
• [cs.CV]Data Agnostic Filter Gating for Efficient Deep Networks
• [cs.CV]Deformable Convolutional LSTM for Human Body Emotion Recognition
• [cs.CV]Differentiable Channel Pruning Search
• [cs.CV]Displacement-Invari
9d2
ant Matching Cost Learning for Accurate Optical Flow Estimation
• [cs.CV]ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications
• [cs.CV]Generative Adversarial Networks in Human Emotion Synthesis:A Review
• [cs.CV]Leveraging Visual Question Answering to Improve Text-to-Image Synthesis
• [cs.CV]MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
• [cs.CV]Micro Stripes Analyses for Iris Presentation Attack Detection
• [cs.CV]Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets
• [cs.CV]MultiMix: Sparingly Supervised, Extreme Multitask Learning From Medical Images
• [cs.CV]Multimodal End-to-End Learning for Autonomous Steering in Adverse Road and Weather Conditions
• [cs.CV]Nested Grassmanns for Dimensionality Reduction
• [cs.CV]Object Hider: Adversarial Patch Attack Against Object Detectors
• [cs.CV]Perception for Autonomous Systems (PAZ)
• [cs.CV]Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
• [cs.CV]Real-time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous Satellite Data
• [cs.CV]Road Damage Detection and Classification with Detectron2 and Faster R-CNN
• [cs.CV]SFU-Store-Nav: A Multimodal Dataset for Indoor Human Navigation
• [cs.CV]Stereo Frustums: A Siamese Pipeline for 3D Object Detection
• [cs.CV]Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection
• [cs.CV]Transferable Universal Adversarial Perturbations Using Generative Models
• [cs.CY]A general method for estimating the prevalence of Influenza-Like-Symptoms with Wikipedia data
• [cs.CY]Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases
• [cs.CY]Political Geography and Representation: A Case Study of Districting in Pennsylvania
• [cs.DC]A Fast, Scalable, Universal Approach For Distributed Data Reductions
• [cs.DC]Benchmarking Parallelism in FaaS Platforms
• [cs.DC]Comparing Workflow Application Designs for High Resolution Satellite Image Analysis
• [cs.DC]On the Deployability of Augmented Reality Using Embedded Edge Devices
• [cs.DC]Porting the microphysics model CASIM to GPU and KNL Cray machines
• [cs.DC]Substream-Centric Maximum Matchings on FPGA
• [cs.DC]TurboKV: Scaling Up The Performance of Distributed Key-Value Stores With In-Switch Coordination
• [cs.DC]ePython: An implementation of Python for the many-core Epiphany coprocessor
• [cs.DL]A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2
• [cs.DL]Improving Text Relationship Modeling with Artificial Data
• [cs.ET]Receptor Saturation Modeling for Synaptic DMC
• [cs.IR]Addressing Purchase-Impression Gap through a Sequential Re-ranker
• [cs.IR]Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics
• [cs.IR]Flexible retrieval with NMSLIB and FlexNeuART
• [cs.IR]Optimal Questionnaires for Screening of Strategic Agents
• [cs.IR]Unclicked User Behaviors Enhanced Sequential Recommendation
• [cs.IT]Design of Bilayer and Multi-layer LDPC Ensembles from Individual Degree Distributions
• [cs.IT]Explore-Before-Talk: Multichannel Selection Diversity for Uplink Transmissions in Machine-Type Communication
• [cs.IT]Non-Asymptotic Capacity Upper Bounds for the Discrete-Time Poisson Channel with Positive Dark Current
• [cs.IT]On the Fault Tolerant Distributed Data Caching using LDPC Codes in Cellular Networks
• [cs.IT]Stochastic Geometry Analysis of Uplink Cellular Networks with FSO Backhauling: Cooperative Relaying Vs. Reflecting Surfaces
• [cs.IT]Three Applications of Entropy to Gerrymandering
• [cs.LG]A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation
• [cs.LG]A short note on the decision tree based neural turing machine
• [cs.LG]Adversarial Dueling Bandits
• [cs.LG]An Optimal Control Approach to Learning in SIDARTHE Epidemic model
• [cs.LG]Attribution Preservation in Network Compression for Reliable Network Interpretation
• [cs.LG]Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient
• [cs.LG]Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles
• [cs.LG]DNA: Differentiable Network-Accelerator Co-Search
• [cs.LG]Deep Manifold Computing and Visualization
• [cs.LG]Deep Networks from the Principle of Rate Reduction
• [cs.LG]Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel
• [cs.LG]DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data
• [cs.LG]Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees
• [cs.LG]Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder
• [cs.LG]Dynamic Bayesian Approach for decision-making in Ego-Things
• [cs.LG]Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability
• [cs.LG]Estimating Product Relations in Neural Networks
• [cs.LG]Evaluating Model Robustness to Dataset Shift
• [cs.LG]Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
• [cs.LG]Expressive yet Tractable Bayesian Deep Learning via Subnetwork Inference
• [cs.LG]Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC
• [cs.LG]Fighting Copycat Agents in Behavioral Cloning from Observation Histories
• [cs.LG]Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning
• [cs.LG]Game-Theoretic Interactions of Different Orders
• [cs.LG]Geometric Scattering Attention Networks
• [cs.LG]Graph Contrastive Learning with Adaptive Augmentation
• [cs.LG]Graph embedding using multi-layer adjacent point merging model
• [cs.LG]Higher Order Linear Transformer
• [cs.LG]Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes
• [cs.LG]Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles
• [cs.LG]Learning to Represent Action Values as a Hypergraph on the Action Vertices
• [cs.LG]Learning to be Safe: Deep RL with a Safety Critic
• [cs.LG]MILR: Mathematically Induced Layer Recovery for Plaintext Space Error Correction of CNNs
• [cs.LG]Most ReLU Networks Suffer from $\ell^2$ Adversarial Perturbations
• [cs.LG]Neural Architecture Search of SPD Manifold Networks
• [cs.LG]On Graph Neural Networks versus Graph-Augmented MLPs
• [cs.LG]On Learning Continuous Pairwise Markov Random Fields
• [cs.LG]Online Learning with Primary and Secondary
3bac
Losses
• [cs.LG]Online feature selection for rapid, low-overhead learning in networked systems
• [cs.LG]Predicting Classification Accuracy when Adding New Unobserved Classes
• [cs.LG]Provably Efficient Online Agnostic Learning in Markov Games
• [cs.LG]Scaling Laws for Autoregressive Generative Modeling
• [cs.LG]Self-awareness in Intelligent Vehicles: Experience Based Abnormality Detection
• [cs.LG]Shapley Flow: A Graph-based Approach to Interpreting Model Predictions
• [cs.LG]Smart Anomaly Detection in Sensor Systems
• [cs.LG]Sparse Symmetric Tensor Regression for Functional Connectivity Analysis
• [cs.LG]Structural Causal Model with Expert Augmented Knowledge to Estimate the Effect of Oxygen Therapy on Mortality in the ICU
• [cs.LG]System Identification via Meta-Learning in Linear Time-Varying Environments
• [cs.LG]Temporal Difference Learning as Gradient Splitting
• [cs.LG]The geometry of integration in text classification RNNs
• [cs.LG]Tree-structured Ising models can be learned efficiently
• [cs.LG]Unsupervised Domain Adaptation for Visual Navigation
• [cs.LG]Why Does MAML Outperform ERM? An Optimization Perspective
• [cs.LG]Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures
• [cs.LO]A Cyclic Proof System for HFLN
• [cs.MS]Parallelizing multiple precision Taylor series method for integrating the Lorenz system
• [cs.NE]Hybrid Backpropagation Parallel Reservoir Networks
• [cs.NE]Measuring non-trivial compositionality in emergent communication
• [cs.NE]Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution
• [cs.NE]Real-valued Evolutionary Multi-modal Multi-objective Optimization by Hill-Valley Clustering
• [cs.NI]Beyond Accuracy: Cost-Aware Data Representation Exploration for Network Traffic Model Performance
• [cs.OH]Comparison Analysis of Tree Based and Ensembled Regression Algorithms for Traffic Accident Severity Prediction
• [cs.RO]AM-RRT*: Informed Sampling-based Planning with Assisting Metric
• [cs.RO]Bidirectional Sampling Based Search Without Two Point Boundary Value Solution
• [cs.RO]DeepQ Stepper: A framework for reactive dynamic walking on uneven terrain
• [cs.RO]Dynamically Feasible Deep Reinforcement Learning Policy for Robot Navigation in Dense Mobile Crowds
• [cs.RO]Generalized Nonlinear and Finsler Geometry for Robotics
• [cs.RO]Geometric Fabrics for the Acceleration-based Design of Robotic Motion
• [cs.RO]HOPPY: An open-source and low-cost kit for dynamic robotics education
• [cs.RO]High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards
• [cs.RO]Implicit Integration for Articulated Bodies with Contact via the Nonconvex Maximal Dissipation Principle
• [cs.RO]Inverse Optimal Control from Demonstration Segments
• [cs.RO]Joint Path and Push Planning Among Movable Obstacles
• [cs.RO]Learning Time Reduction Using Warm Start Methods for a Reinforcement Learning Based Supervisory Control in Hybrid Electric Vehicle Applications
• [cs.RO]Learning to Generate Cost-to-Go Functions for Efficient Motion Planning
• [cs.RO]ORBBuf: A Robust Buffering Method for Collaborative Visual SLAM
• [cs.RO]Section Patterns: Efficiently Solving Narrow Passage Problems using Multilevel Motion Planning
• [cs.RO]Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Data
• [cs.RO]The Amazing Race TM: Robot Edition
• [cs.RO]The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions
• [cs.RO]Visually Guided Balloon Popping with an Autonomous MAV at MBZIRC 2020
• [cs.SD]CopyPaste: An Augmentation Method for Speech Emotion Recognition
• [cs.SD]Decoupling Pronunciation and Language for End-to-end Code-switching Automatic Speech Recognition
• [cs.SD]INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices
• [cs.SD]Large-Scale MIDI-based Composer Classification
• [cs.SD]Melody-Conditioned Lyrics Generation with SeqGANs
• [cs.SD]Non-Autoregressive Transformer ASR with CTC-Enhanced Decoder Input
• [cs.SD]PPG-based singing voice conversion with adversarial representation learning
• [cs.SD]Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset
• [cs.SI]COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data
• [cs.SI]Characterizing Human Mobility Patterns During COVID-19 using Cellular Network Data
• [cs.SI]Correlation Robust Influence Maximization
• [cs.SI]Modeling social media contagion using Hawkes processes
• [cs.SI]On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction
• [cs.SI]Predicting Engagement with the Internet Research Agency’s Facebook and Instagram Campaigns around the 2016 U.S. Presidential Election
• [cs.SI]Vertex nomination between graphs via spectral embedding and quadratic programming
• [cs.SI]Wikipedia: A Challenger’s Best Friend? Utilising Information-seeking Behaviour Patterns to Predict US Congressional Elections
• [econ.EM]Deep Learning for Individual Heterogeneity
• [eess.AS]CASS-NAT: CTC Alignment-based Single Step Non-autoregressive Transformer for Speech Recognition
• [eess.AS]Cascaded encoders for unifying streaming and non-streaming ASR
• [eess.AS]Optimizing Short-Time Fourier Transform Parameters via Gradient Descent
• [eess.AS]Replay and Synthetic Speech Detection with Res2net Architecture
• [eess.IV]Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples
• [eess.IV]Forgery Blind Inspection for Detecting Manipulations of Gel Electrophoresis Images
• [eess.IV]Medical Deep Learning — A systematic Meta-Review
• [eess.SP]An Approach for GCI Fusion With Labeled Multitarget Densities
• [eess.SP]Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks
• [math.DS]Around the variational principle for metric mean dimension
• [math.DS]Data-driven prediction of multistable systems from sparse measurements
• [math.PR]Tangent fields, intrinsic stationarity, and self similarity
• [math.ST]Combinatorial-Probabilistic Trade-Off: Community Properties Test in the Stochastic Block Models
• [physics.chem-ph]Machine learning of solvent effects on molecular spectra and reactions
• [physics.comp-ph]Parameterized Neural Ordinary Differential Equations: Applications to Computational Physics Problems
• [physics.geo-ph]Improving seasonal forecast using probabilistic deep learning
• [q-bio.QM]Automatic selection of eye tracking variables in visual categorization in adults and infants
• [q-fin.ST]Evaluating data augmentation for financial time series classification
• [stat.AP]Advancing statistical decision-making in sports science
• [stat.CO]Generalized eigen, singular value, and partial least squares decompositions: The GSVD package
• [stat.ME]Bayesian Variable Selection in Multivariate Nonlinear Regression with Graph Structures
• [stat.ME]Bridging linearity-based and kernel-based sufficient dimension reduction
• [stat.ME]Covariate-adjusted Fisher randomization tests for the average treatment effect
• [stat.ME]Maximum approximate likelihood estimation of general continuous-time state-space models
• [stat.ME]On an Induced Distribution and its Statistical Properties
• [stat.ML]A Simple Spectral Failure Mode for Graph Convolutional Networks
• [stat.ML]Hierarchical Gaussian Processes with Wasserstein-2 Kernels
• [stat.ML]Particle gradient descent model for point process generation
• [stat.ML]The Evidence Lower Bound of Variational Autoencoders Converges to a Sum of
4000
Three Entropies
• [stat.ML]Training Generative Adversarial Networks by Solving Ordinary Differential Equations
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• [cond-mat.dis-nn]High-dimensional inference: a statistical mechanics perspective
Jean Barbier
http://arxiv.org/abs/2010.14863v1
• [cs.AI]A Clarifying Question Selection System from NTES_ALONG in Convai3 Challenge
Wenjie Ou, Yue Lin
http://arxiv.org/abs/2010.14202v2
• [cs.AI]A methodology of weed-crop classification based on autonomous models choosing and ensemble
BinBin Yong, XueTao Jiang, Jun Shen, Qingguo Zhou
http://arxiv.org/abs/2010.14708v1
• [cs.AI]Artificial Intelligence Systems applied to tourism: A Survey
Luis Duarte, Jonathan Torres, Vitor Ribeiro, Inês Moreira
http://arxiv.org/abs/2010.14654v1
• [cs.AI]Formally Verified SAT-Based AI Planning
Mohammad Abdulaziz, Friedrich Kurz
http://arxiv.org/abs/2010.14648v1
• [cs.AR]Analysis of Energy Consumption in a Precision Beekeeping System
Hugo Hadjur, Doreid Ammar, Laurent Lefèvre
http://arxiv.org/abs/2010.14934v1
• [cs.CE]Shape error modelling and simulation of 3D free-form surfaces during early design stage by morphing Gaussian Random Fields
Manoj Babu, Pasquale Franciosa, Darek Ceglarek
http://arxiv.org/abs/2010.14889v1
• [cs.CG]Explainable Artificial Intelligence for Manufacturing Cost Estimation and Machining Feature Visualization
Soyoung Yoo, Namwoo Kang
http://arxiv.org/abs/2010.14824v1
• [cs.CL]A Chinese Text Classification Method With Low Hardware Requirement Based on Improved Model Concatenation
Yuanhao Zhuo
http://arxiv.org/abs/2010.14784v1
• [cs.CL]A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models
Usman Naseem, Imran Razzak, Shah Khalid Khan, Mukesh Prasad
http://arxiv.org/abs/2010.15036v1
• [cs.CL]Bayesian Methods for Semi-supervised Text Annotation
Kristian Miok, Gregor Pirs, Marko Robnik-Sikonja
http://arxiv.org/abs/2010.14872v1
• [cs.CL]Bridging the Modality Gap for Speech-to-Text Translation
Yuchen Liu, Junnan Zhu, Jiajun Zhang, Chengqing Zong
http://arxiv.org/abs/2010.14920v1
• [cs.CL]Character Entropy in Modern and Historical Texts: Comparison Metrics for an Undeciphered Manuscript
Luke Lindemann, Claire Bowern
http://arxiv.org/abs/2010.14697v1
• [cs.CL]DGST: a Dual-Generator Network for Text Style Transfer
Xiao Li, Guanyi Chen, Chenghua Lin, Ruizhe Li
http://arxiv.org/abs/2010.14557v1
• [cs.CL]DisenE: Disentangling Knowledge Graph Embeddings
Xiaoyu Kou, Yankai Lin, Yuntao Li, Jiahao Xu, Peng Li, Jie Zhou, Yan Zhang
http://arxiv.org/abs/2010.14730v1
• [cs.CL]DualTKB: A Dual Learning Bridge between Text and Knowledge Base
Pierre L. Dognin, Igor Melnyk, Inkit Padhi, Cicero Nogueira dos Santos, Payel Das
http://arxiv.org/abs/2010.14660v1
• [cs.CL]Fine-grained Information Status Classification Using Discourse Context-Aware BERT
Yufang Hou
http://arxiv.org/abs/2010.14759v1
• [cs.CL]Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles
M. Tarik Altuncu, Sophia N. Yaliraki, Mauricio Barahona
http://arxiv.org/abs/2010.15067v1
• [cs.CL]Handling Class Imbalance in Low-Resource Dialogue Systems by Combining Few-Shot Classification and Interpolation
Vishal Sunder, Eric Fosler-Lussier
http://arxiv.org/abs/2010.15090v1
• [cs.CL]Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus
Isaac Caswell, Theresa Breiner, Daan van Esch, An
1000
kur Bapna
http://arxiv.org/abs/2010.14571v1
• [cs.CL]Learning Contextualised Cross-lingual Word Embeddings for Extremely Low-Resource Languages Using Parallel Corpora
Takashi Wada, Tomoharu Iwata, Yuji Matsumoto, Timothy Baldwin, Jey Han Lau
http://arxiv.org/abs/2010.14649v1
• [cs.CL]On the diminishing return of labeling clinical reports
Jean-Baptiste Lamare, Tobi Olatunji, Li Yao
http://arxiv.org/abs/2010.14587v1
• [cs.CL]Predicting Themes within Complex Unstructured Texts: A Case Study on Safeguarding Reports
Aleksandra Edwards, David Rogers, Jose Camacho-Collados, Hélène de Ribaupierre
http://arxiv.org/abs/2010.14584v1
• [cs.CL]Second-Order Unsupervised Neural Dependency Parsing
Songlin Yang, Yong Jiang, Wenjuan Han, Kewei Tu
http://arxiv.org/abs/2010.14720v1
• [cs.CL]Strongly Incremental Constituency Parsing with Graph Neural Networks
Kaiyu Yang, Jia Deng
http://arxiv.org/abs/2010.14568v1
• [cs.CL]The Volctrans Machine Translation System for WMT20
Liwei Wu, Xiao Pan, Zehui Lin, Yaoming Zhu, Mingxuan Wang, Lei Li
http://arxiv.org/abs/2010.14806v1
• [cs.CL]TopicModel4J: A Java Package for Topic Models
Yang Qian, Yuanchun Jiang, Yidong Chai, Yezheng Liu, Jiansha Sun
http://arxiv.org/abs/2010.14707v1
• [cs.CL]Towards Ethics by Design in Online Abusive Content Detection
Svetlana Kiritchenko, Isar Nejadgholi
http://arxiv.org/abs/2010.14952v1
• [cs.CL]Transformer in action: a comparative study of transformer-based acoustic models for large scale speech recognition applications
Yongqiang Wang, Yangyang Shi, Frank Zhang, Chunyang Wu, Julian Chan, Ching-Feng Yeh, Alex Xiao
http://arxiv.org/abs/2010.14665v1
• [cs.CL]Unmasking Contextual Stereotypes: Measuring and Mitigating BERT’s Gender Bias
Marion Bartl, Malvina Nissim, Albert Gatt
http://arxiv.org/abs/2010.14534v1
• [cs.CL]WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols
Jeniya Tabassum, Sydney Lee, Wei Xu, Alan Ritter
http://arxiv.org/abs/2010.14576v1
• [cs.CL]What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation
Amir Pouran Ben Veyseh, Franck Dernoncourt, Quan Hung Tran, Thien Huu Nguyen
http://arxiv.org/abs/2010.14678v1
• [cs.CV]AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Jun Ma, Yao Zhang, Song Gu, Yichi Zhang, Cheng Zhu, Qiyuan Wang, Xin Liu, Xingle An, Cheng Ge, Shucheng Cao, Qi Zhang, Shangqing Liu, Yunpeng Wang, Yuhui Li, Congcong Wang, Jian He, Xiaoping Yang
http://arxiv.org/abs/2010.14808v1
• [cs.CV]Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation
Angira Sharma, Naeemullah Khan, Ganesh Sundaramoorthi, Philip Torr
http://arxiv.org/abs/2010.14793v1
• [cs.CV]CompRess: Self-Supervised Learning by Compressing Representations
Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
http://arxiv.org/abs/2010.14713v1
• [cs.CV]Contour Integration using Graph-Cut and Non-Classical Receptive Field
Seyedeh-Zahra Mousavi Kouzehkanan, Reshad Hosseini, Babak Nadjar Araabi
http://arxiv.org/abs/2010.14561v1
• [cs.CV]Cycle-Contrast for Self-Supervised Video Representation Learning
Quan Kong, Wenpeng Wei, Ziwei Deng, Tomoaki Yoshinaga, Tomokazu Murakami
http://arxiv.org/abs/2010.14810v1
• [cs.CV]Data Agnostic Filter Gating for Efficient Deep Networks
Xiu Su, Shan You, Tao Huang, Hongyan Xu, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
http://arxiv.org/abs/2010.15041v1
• [cs.CV]Deformable Convolutional LSTM for Human Body Emotion Recognition
Peyman Tahghighi, Abbas Koochari, Masoume Jalali
http://arxiv.org/abs/2010.14607v1
• [cs.CV]Differentiable Channel Pruning Search
Yu Zhao, Chung-Kuei Lee
http://arxiv.org/abs/2010.14714v1
• [cs.CV]Displacement-Invari
9d2
ant Matching Cost Learning for Accurate Optical Flow Estimation
Jianyuan Wang, Yiran Zhong, Yuchao Dai, Kaihao Zhang, Pan Ji, Hongdong Li
http://arxiv.org/abs/2010.14851v1
• [cs.CV]ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications
Hochul Hwang, Cheongjae Jang, Geonwoo Park, Junghyun Cho, Ig-Jae Kim
http://arxiv.org/abs/2010.14742v1
• [cs.CV]Generative Adversarial Networks in Human Emotion Synthesis:A Review
Noushin Hajarolasvadi, Miguel Arjona Ramírez, Hasan Demirel
http://arxiv.org/abs/2010.15075v1
• [cs.CV]Leveraging Visual Question Answering to Improve Text-to-Image Synthesis
Stanislav Frolov, Shailza Jolly, Jörn Hees, Andreas Dengel
http://arxiv.org/abs/2010.14953v1
• [cs.CV]MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
Jiancheng Yang, Rui Shi, Bingbing Ni
http://arxiv.org/abs/2010.14925v1
• [cs.CV]Micro Stripes Analyses for Iris Presentation Attack Detection
Meiling Fang, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
http://arxiv.org/abs/2010.14850v1
• [cs.CV]Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets
Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang
http://arxiv.org/abs/2010.14819v1
• [cs.CV]MultiMix: Sparingly Supervised, Extreme Multitask Learning From Medical Images
Ayaan Haque, Abdullah-Al-Zubaer Imran, Adam Wang, Demetri Terzopoulos
http://arxiv.org/abs/2010.14731v1
• [cs.CV]Multimodal End-to-End Learning for Autonomous Steering in Adverse Road and Weather Conditions
Jyri Maanpää, Josef Taher, Petri Manninen, Leo Pakola, Iaroslav Melekhov, Juha Hyyppä
http://arxiv.org/abs/2010.14924v1
• [cs.CV]Nested Grassmanns for Dimensionality Reduction
Chun-Hao Yang, Baba C. Vemuri
http://arxiv.org/abs/2010.14589v1
• [cs.CV]Object Hider: Adversarial Patch Attack Against Object Detectors
Yusheng Zhao, Huanqian Yan, Xingxing Wei
http://arxiv.org/abs/2010.14974v1
• [cs.CV]Perception for Autonomous Systems (PAZ)
Octavio Arriaga, Matias Valdenegro-Toro, Mohandass Muthuraja, Sushma Devaramani, Frank Kirchner
http://arxiv.org/abs/2010.14541v1
• [cs.CV]Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
Iro Laina, Ruth C. Fong, Andrea Vedaldi
http://arxiv.org/abs/2010.14551v1
• [cs.CV]Real-time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous Satellite Data
Boyo Chen, Buo-Fu Chen, Yun-Nung Chen
http://arxiv.org/abs/2010.14977v1
• [cs.CV]Road Damage Detection and Classification with Detectron2 and Faster R-CNN
Vung Pham, Chau Pham, Tommy Dang
http://arxiv.org/abs/2010.15021v1
• [cs.CV]SFU-Store-Nav: A Multimodal Dataset for Indoor Human Navigation
Zhitian Zhang, Jimin Rhim, Taher Ahmadi, Kefan Yang, Angelica Lim, Mo Chen
http://arxiv.org/abs/2010.14802v1
• [cs.CV]Stereo Frustums: A Siamese Pipeline for 3D Object Detection
Xi Mo, Usaman Sajid, Guanghui Wang
http://arxiv.org/abs/2010.14599v1
• [cs.CV]Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection
Rui Dai, Srijan Das, Saurav Sharma, Luca Minciullo, Lorenzo Garattoni, Francois Bremond, Gianpiero Francesca
http://arxiv.org/abs/2010.14982v1
• [cs.CV]Transferable Universal Adversarial Perturbations Using Generative Models
Atiye Sadat Hashemi, Andreas Bär, Saeed Mozaffari, Tim Fingscheidt
http://arxiv.org/abs/2010.14919v1
• [cs.CY]A general method for estimating the prevalence of Influenza-Like-Symptoms with Wikipedia data
Giovanni De Toni, Cristian Consonni, Alberto Montresor
http://arxiv.org/abs/2010.14903v1
• [cs.CY]Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases
Ryan Steed, Aylin Caliskan
http://arxiv.org/abs/2010.15052v1
• [cs.CY]Political Geography and Representation: A Case Study of Districting in Pennsylvania
Jonathan Rodden, Thomas Weighill
http://arxiv.org/abs/2010.14608v1
• [cs.DC]A Fast, Scalable, Universal Approach For Distributed Data Reductions
Niranda Perera, Vibhatha Abeykoon, Chathura Widanage, Supun Kamburugamuve, Thejaka Amila Kanewala, Pulasthi Wickramasinghe, Ahmet Uyar, Hasara Maithree, Damitha Lenadora, Geoffrey Fox
http://arxiv.org/abs/2010.14596v1
• [cs.DC]Benchmarking Parallelism in FaaS Platforms
Daniel Barcelona-Pons, Pedro García-López
http://arxiv.org/abs/2010.15032v1
• [cs.DC]Comparing Workflow Application Designs for High Resolution Satellite Image Analysis
Aymen Al-Saadi, Ioannis Paraskevakos, Bento Collares Gonçalves, Heather J. Lynch, Shantenu Jha, Matteo Turilli
http://arxiv.org/abs/2010.14756v1
• [cs.DC]On the Deployability of Augmented Reality Using Embedded Edge Devices
Ayoub Ben-Ameur, Andrea Araldo, Francesco Bronzino
http://arxiv.org/abs/2010.14845v1
• [cs.DC]Porting the microphysics model CASIM to GPU and KNL Cray machines
Nick Brown, Alexandr Nigay, Michèle Weiland, Adrian Hill, Ben Shipway
http://arxiv.org/abs/2010.14823v1
• [cs.DC]Substream-Centric Maximum Matchings on FPGA
Maciej Besta, Marc Fischer, Tal Ben-Nun, Dimitri Stanojevic, Johannes De Fine Licht, Torsten Hoefler
http://arxiv.org/abs/2010.14684v1
• [cs.DC]TurboKV: Scaling Up The Performance of Distributed Key-Value Stores With In-Switch Coordination
Hebatalla Eldakiky, David Hung-Chang Du, Eman Ramadan
http://arxiv.org/abs/2010.14931v1
• [cs.DC]ePython: An implementation of Python for the many-core Epiphany coprocessor
Nick Brown
http://arxiv.org/abs/2010.14827v1
• [cs.DL]A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2
Robert Leaman, Zhiyong Lu
http://arxiv.org/abs/2010.14588v1
• [cs.DL]Improving Text Relationship Modeling with Artificial Data
Peter Organisciak, Maggie Ryan
http://arxiv.org/abs/2010.14640v1
• [cs.ET]Receptor Saturation Modeling for Synaptic DMC
Sebastian Lotter, Maximilian Schäfer, Johannes Zeitler, Robert Schober
http://arxiv.org/abs/2010.14828v1
• [cs.IR]Addressing Purchase-Impression Gap through a Sequential Re-ranker
Shubhangi Tandon, Saratchandra Indrakanti, Amit Jaiswal, Svetlana Strunjas, Manojkumar Rangasamy Kannadasan
http://arxiv.org/abs/2010.14570v1
• [cs.IR]Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics
Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans
http://arxiv.org/abs/2010.14531v1
• [cs.IR]Flexible retrieval with NMSLIB and FlexNeuART
Leonid Boytsov, Eric Nyberg
http://arxiv.org/abs/2010.14848v1
• [cs.IR]Optimal Questionnaires for Screening of Strategic Agents
Anuj S. Vora, Ankur A. Kulkarni
http://arxiv.org/abs/2010.15008v1
• [cs.IR]Unclicked User Behaviors Enhanced Sequential Recommendation
Fuyu Lv, Mengxue Li, Tonglei Guo, Changlong Yu, Fei Sun, Taiwei Jin, Keping Yang
http://arxiv.org/abs/2010.12837v2
• [cs.IT]Design of Bilayer and Multi-layer LDPC Ensembles from Individual Degree Distributions
Eshed Ram, Yuval Cassuto
http://arxiv.org/abs/2010.14758v1
• [cs.IT]Explore-Before-Talk: Multichannel Selection Diversity for Uplink Transmissions in Machine-Type Communication
Jinho Choi, Jihong Park, Shiva Pokhrel
http://arxiv.org/abs/2010.14755v1
• [cs.IT]Non-Asymptotic Capacity Upper Bounds for the Discrete-Time Poisson Channel with Positive Dark Current
Mahdi Cheraghchi, João Ribeiro
http://arxiv.org/abs/2010.14858v1
• [cs.IT]On the Fault Tolerant Distributed Data Caching using LDPC Codes in Cellular Networks
Elif Haytaoglu, Erdi Kaya, Suayb S. Arslan
http://arxiv.org/abs/2010.14781v1
• [cs.IT]Stochastic Geometry Analysis of Uplink Cellular Networks with FSO Backhauling: Cooperative Relaying Vs. Reflecting Surfaces
Elyes Balti, Brian K. Johnson
http://arxiv.org/abs/2010.14779v1
• [cs.IT]Three Applications of Entropy to Gerrymandering
Larry Guth, Ari Nieh, Thomas Weighill
http://arxiv.org/abs/2010.14972v1
• [cs.LG]A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation
Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem
http://arxiv.org/abs/2010.14766v1
• [cs.LG]A short note on the decision tree based neural turing machine
Yingshi Chen
http://arxiv.org/abs/2010.14753v1
• [cs.LG]Adversarial Dueling Bandits
Aadirupa Saha, Tomer Koren, Yishay Mansour
http://arxiv.org/abs/2010.14563v1
• [cs.LG]An Optimal Control Approach to Learning in SIDARTHE Epidemic model
Andrea Zugarini, Enrico Meloni, Alessandro Betti, Andrea Panizza, Marco Corneli, Marco Gori
http://arxiv.org/abs/2010.14878v1
• [cs.LG]Attribution Preservation in Network Compression for Reliable Network Interpretation
Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang
http://arxiv.org/abs/2010.15054v1
• [cs.LG]Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient
Samuele Tosatto, João Carvalho, Jan Peters
http://arxiv.org/abs/2010.14771v1
• [cs.LG]Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles
Divya Thekke Kanapram, Fabio Patrone, Pablo Marin-Plaza, Mario Marchese, Eliane L. Bodanese, Lucio Marcenaro, David Martín Gómez, Carlo Regazzoni
http://arxiv.org/abs/2010.14908v1
• [cs.LG]DNA: Differentiable Network-Accelerator Co-Search
Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin
http://arxiv.org/abs/2010.14778v1
• [cs.LG]Deep Manifold Computing and Visualization
Stan Z. Li, Zelin Zang, Lirong Wu
http://arxiv.org/abs/2010.14831v1
• [cs.LG]Deep Networks from the Principle of Rate Reduction
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma
http://arxiv.org/abs/2010.14765v1
• [cs.LG]Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel
Stanislav Fort, Gintare Karolina Dziugaite, Mansheej Paul, Sepideh Kharaghani, Daniel M. Roy, Surya Ganguli
http://arxiv.org/abs/2010.15110v1
• [cs.LG]DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data
Yanbo Xu, Cao Xiao, Jimeng Sun
http://arxiv.org/abs/2010.15028v1
• [cs.LG]Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees
Nathan Dahlin, Krishna Chaitanya Kalagarla, Nikhil Naik, Rahul Jain, Pierluigi Nuzzo
http://arxiv.org/abs/2010.14785v1
• [cs.LG]Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder
Benedikt Eiteneuer, Nemanja Hranisavljevic, Oliver Niggemann
http://arxiv.org/abs/2010.14957v1
• [cs.LG]Dynamic Bayesian Approach for decision-making in Ego-Things
Divya Kanapram, Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Eliane L. Bodanese, Carlo Regazzoni, Mario Marchese
http://arxiv.org/abs/2010.14900v1
• [cs.LG]Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability
Gintare Karolina Dziugaite, Shai Ben-David, Daniel M. Roy
http://arxiv.org/abs/2010.13764v2
• [cs.LG]Estimating Product Relations in Neural Networks
Bhaavan Goel
http://arxiv.org/abs/2010.15003v1
• [cs.LG]Evaluating Model Robustness to Dataset Shift
Adarsh Subbaswamy, Roy Adams, Suchi Saria
http://arxiv.org/abs/2010.15100v1
• [cs.LG]Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
Anna-Kathrin Kopetzki, Bertrand Charpentier, Daniel Zügner, Sandhya Giri, Stephan Günnemann
http://arxiv.org/abs/2010.14986v1
• [cs.LG]Expressive yet Tractable Bayesian Deep Learning via Subnetwork Inference
Erik Daxberger, Eric Nalisnick, James Urquhart Allingham, Javier Antorán, José Miguel Hernández-Lobato
http://arxiv.org/abs/2010.14689v1
• [cs.LG]Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC
Arun Ganesh, Kunal Talwar
http://arxiv.org/abs/2010.14658v1
• [cs.LG]Fighting Copycat Agents in Behavioral Cloning from Observation Histories
Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman, Yang Gao
http://arxiv.org/abs/2010.14876v1
• [cs.LG]Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning
Sihan Zeng, Thinh T. Doan, Justin Romberg
http://arxiv.org/abs/2010.15088v1
• [cs.LG]Game-Theoretic Interactions of Different Orders
Hao Zhang, Xu Cheng, Yiting Chen, Quanshi Zhang
http://arxiv.org/abs/2010.14978v1
• [cs.LG]Geometric Scattering Attention Networks
Yimeng Min, Frederik Wenkel, Guy Wolf
http://arxiv.org/abs/2010.15010v1
• [cs.LG]Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang
http://arxiv.org/abs/2010.14945v1
• [cs.LG]Graph embedding using multi-layer adjacent point merging model
Jianming Huang, Hiroyuki Kasai
http://arxiv.org/abs/2010.14773v1
• [cs.LG]Higher Order Linear Transformer
Jean Mercat
http://arxiv.org/abs/2010.14816v1
• [cs.LG]Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes
Marten van Dijk, Nhuong V. Nguyen, Toan N. Nguyen, Lam M. Nguyen, Quoc Tran-Dinh, Phuong Ha Nguyen
http://arxiv.org/abs/2010.14763v1
• [cs.LG]Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles
Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus
http://arxiv.org/abs/2010.14641v1
• [cs.LG]Learning to Represent Action Values as a Hypergraph on the Action Vertices
Arash Tavakoli, Mehdi Fatemi, Petar Kormushev
http://arxiv.org/abs/2010.14680v1
• [cs.LG]Learning to be Safe: Deep RL with a Safety Critic
Krishnan Srinivasan, Benjamin Eysenbach, Sehoon Ha, Jie Tan, Chelsea Finn
http://arxiv.org/abs/2010.14603v1
• [cs.LG]MILR: Mathematically Induced Layer Recovery for Plaintext Space Error Correction of CNNs
Jonathan Ponader, Sandip Kundu, Yan Solihin
http://arxiv.org/abs/2010.14687v1
• [cs.LG]Most ReLU Networks Suffer from $\ell^2$ Adversarial Perturbations
Amit Daniely, Hadas Schacham
http://arxiv.org/abs/2010.14927v1
• [cs.LG]Neural Architecture Search of SPD Manifold Networks
Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool
http://arxiv.org/abs/2010.14535v1
• [cs.LG]On Graph Neural Networks versus Graph-Augmented MLPs
Lei Chen, Zhengdao Chen, Joan Bruna
http://arxiv.org/abs/2010.15116v1
• [cs.LG]On Learning Continuous Pairwise Markov Random Fields
Abhin Shah, Devavrat Shah, Gregory W. Wornell
http://arxiv.org/abs/2010.15031v1
• [cs.LG]Online Learning with Primary and Secondary
3bac
Losses
Avrim Blum, Han Shao
http://arxiv.org/abs/2010.14670v1
• [cs.LG]Online feature selection for rapid, low-overhead learning in networked systems
Xiaoxuan Wang, Forough Shahab Samani, Rolf Stadler
http://arxiv.org/abs/2010.14907v1
• [cs.LG]Predicting Classification Accuracy when Adding New Unobserved Classes
Yuli Slavutsky, Yuval Benjamini
http://arxiv.org/abs/2010.15011v1
• [cs.LG]Provably Efficient Online Agnostic Learning in Markov Games
Yi Tian, Yuanhao Wang, Tiancheng Yu, Suvrit Sra
http://arxiv.org/abs/2010.15020v1
• [cs.LG]Scaling Laws for Autoregressive Generative Modeling
Tom Henighan, Jared Kaplan, Mor Katz, Mark Chen, Christopher Hesse, Jacob Jackson, Heewoo Jun, Tom B. Brown, Prafulla Dhariwal, Scott Gray, Chris Hallacy, Benjamin Mann, Alec Radford, Aditya Ramesh, Nick Ryder, Daniel M. Ziegler, John Schulman, Dario Amodei, Sam McCandlish
http://arxiv.org/abs/2010.14701v1
• [cs.LG]Self-awareness in Intelligent Vehicles: Experience Based Abnormality Detection
Divya Kanapram, Pablo Marin-Plaza, Lucio Marcenaro, David Martin, Arturo de la Escalera, Carlo Regazzoni
http://arxiv.org/abs/2010.15056v1
• [cs.LG]Shapley Flow: A Graph-based Approach to Interpreting Model Predictions
Jiaxuan Wang, Jenna Wiens, Scott Lundberg
http://arxiv.org/abs/2010.14592v1
• [cs.LG]Smart Anomaly Detection in Sensor Systems
L. Erhan, M. Ndubuaku, M. Di Mauro, W. Song, M. Chen, G. Fortino, O. Bagdasar, A. Liotta
http://arxiv.org/abs/2010.14946v1
• [cs.LG]Sparse Symmetric Tensor Regression for Functional Connectivity Analysis
Da Xu
http://arxiv.org/abs/2010.14700v1
• [cs.LG]Structural Causal Model with Expert Augmented Knowledge to Estimate the Effect of Oxygen Therapy on Mortality in the ICU
Md Osman Gani, Shravan Kethireddy, Marvi Bikak, Paul Griffin, Mohammad Adibuzzaman
http://arxiv.org/abs/2010.14774v1
• [cs.LG]System Identification via Meta-Learning in Linear Time-Varying Environments
Sen Lin, Hang Wang, Junshan Zhang
http://arxiv.org/abs/2010.14664v1
• [cs.LG]Temporal Difference Learning as Gradient Splitting
Rui Liu, Alex Olshevsky
http://arxiv.org/abs/2010.14657v1
• [cs.LG]The geometry of integration in text classification RNNs
Kyle Aitken, Vinay V. Ramasesh, Ankush Garg, Yuan Cao, David Sussillo, Niru Maheswaranathan
http://arxiv.org/abs/2010.15114v1
• [cs.LG]Tree-structured Ising models can be learned efficiently
Constantinos Daskalakis, Qinxuan Pan
http://arxiv.org/abs/2010.14864v1
• [cs.LG]Unsupervised Domain Adaptation for Visual Navigation
Shangda Li, Devendra Singh Chaplot, Yao-Hung Hubert Tsai, Yue Wu, Louis-Philippe Morency, Ruslan Salakhutdinov
http://arxiv.org/abs/2010.14543v1
• [cs.LG]Why Does MAML Outperform ERM? An Optimization Perspective
Liam Collins, Aryan Mokhtari, Sanjay Shakkottai
http://arxiv.org/abs/2010.14672v1
• [cs.LG]Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures
Carlo Baldassi, Enrico M. Malatesta, Matteo Negri, Riccardo Zecchina
http://arxiv.org/abs/2010.14761v1
• [cs.LO]A Cyclic Proof System for HFLN
Mayuko Kori, Takeshi Tsukada, Naoki Kobayashi
http://arxiv.org/abs/2010.14891v1
• [cs.MS]Parallelizing multiple precision Taylor series method for integrating the Lorenz system
I. Hristov, R. Hristova, S. Dimova, P. Armyanov, N. Shegunov, I. Puzynin, T. Puzynina, Z. Sharipov, Z. Tukhliev
http://arxiv.org/abs/2010.14993v1
• [cs.NE]Hybrid Backpropagation Parallel Reservoir Networks
Matthew Evanusa, Snehesh Shrestha, Michelle Girvan, Cornelia Fermüller, Yiannis Aloimonos
http://arxiv.org/abs/2010.14611v1
• [cs.NE]Measuring non-trivial compositionality in emergent communication
Tomasz Korbak, Julian Zubek, Joanna Rączaszek-Leonardi
http://arxiv.org/abs/2010.15058v1
• [cs.NE]Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution
Fabien C. Y. Benureau, Jun Tani
http://arxiv.org/abs/2010.14894v1
• [cs.NE]Real-valued Evolutionary Multi-modal Multi-objective Optimization by Hill-Valley Clustering
S. C. Maree, T. Alderliesten, P. A. N. Bosman
http://arxiv.org/abs/2010.14998v1
• [cs.NI]Beyond Accuracy: Cost-Aware Data Representation Exploration for Network Traffic Model Performance
Francesco Bronzino, Paul Schmitt, Sara Ayoubi, Hyojoon Kim, Renata Teixeira, Nick Feamster
http://arxiv.org/abs/2010.14605v1
• [cs.OH]Comparison Analysis of Tree Based and Ensembled Regression Algorithms for Traffic Accident Severity Prediction
Muhammad Umer, Saima Sadiq, Abid Ishaq, Saleem Ullah, Najia Saher, Hamza Ahmad Madni
http://arxiv.org/abs/2010.14921v1
• [cs.RO]**AM-RRT: Informed Sampling-based Planning with Assisting Metric
Daniel Armstrong, André Jonasson
http://arxiv.org/abs/2010.14693v1
• [cs.RO]Bidirectional Sampling Based Search Without Two Point Boundary Value Solution
Sharan Nayak, Michael W. Otte
http://arxiv.org/abs/2010.14692v1
• [cs.RO]DeepQ Stepper: A framework for reactive dynamic walking on uneven terrain
Avadesh Meduri, Majid Khadiv, Ludovic Righetti
http://arxiv.org/abs/2010.14834v1
• [cs.RO]Dynamically Feasible Deep Reinforcement Learning Policy for Robot Navigation in Dense Mobile Crowds
Utsav Patel, Nithish Kumar, Adarsh Jagan Sathyamoorthy, Dinesh Manocha
http://arxiv.org/abs/2010.14838v1
• [cs.RO]Generalized Nonlinear and Finsler Geometry for Robotics
Nathan D. Ratliff, Karl Van Wyk, Mandy Xie, Anqi Li, Asif Muhammad Rana
http://arxiv.org/abs/2010.14745v1
• [cs.RO]Geometric Fabrics for the Acceleration-based Design of Robotic Motion
Mandy Xie, Karl Van Wyk, Anqi Li, Muhammad Asif Rana, Dieter Fox, Byron Boots, Nathan Ratliff
http://arxiv.org/abs/2010.14750v1
• [cs.RO]HOPPY: An open-source and low-cost kit for dynamic robotics education
Joao Ramos, Yanran Ding, Young-woo Sim, Kevin Murphy, Daniel Block
http://arxiv.org/abs/2010.14580v1
• [cs.RO]High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards
Kai Ploeger, Michael Lutter, Jan Peters
http://arxiv.org/abs/2010.13483v2
• [cs.RO]Implicit Integration for Articulated Bodies with Contact via the Nonconvex Maximal Dissipation Principle
Zherong Pan, Kris Hauser
http://arxiv.org/abs/2010.14691v1
• [cs.RO]Inverse Optimal Control from Demonstration Segments
Wanxin Jin, Zihao Liang, Shaoshuai Mou
http://arxiv.org/abs/2010.15034v1
• [cs.RO]Joint Path and Push Planning Among Movable Obstacles
Victor Emeli, Akansel Cosgun
http://arxiv.org/abs/2010.14733v1
• [cs.RO]Learning Time Reduction Using Warm Start Methods for a Reinforcement Learning Based Supervisory Control in Hybrid Electric Vehicle Applications
Bin Xu, Jun Hou, Junzhe Shi, Huayi Li, Dhruvang Rathod, Zhe Wang, Zoran Filipi
http://arxiv.org/abs/2010.14575v1
• [cs.RO]Learning to Generate Cost-to-Go Functions for Efficient Motion Planning
Jinwook Huh, Galen Xing, Ziyun Wang, Volkan Isler, Daniel D. Lee
http://arxiv.org/abs/2010.14597v1
• [cs.RO]ORBBuf: A Robust Buffering Method for Collaborative Visual SLAM
Yu-Ping Wang, Zi-Xin Zou, Cong Wang, Yue-Jiang Dong, Lei Qiao, Dinesh Manocha
http://arxiv.org/abs/2010.14861v1
• [cs.RO]Section Patterns: Efficiently Solving Narrow Passage Problems using Multilevel Motion Planning
Andreas Orthey, Marc Toussaint
http://arxiv.org/abs/2010.14524v1
• [cs.RO]Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Data
Letian Wang, Liting Sun, Masayoshi Tomizuka, Wei Zhan
http://arxiv.org/abs/2010.14712v1
• [cs.RO]The Amazing Race TM: Robot Edition
Jared Sigurd Johansen, Thomas Victor Ilyevsky, Jeffrey Mark Siskind
http://arxiv.org/abs/2010.15033v1
• [cs.RO]The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions
Lindsay Sanneman, Christopher Fourie, Julie A. Shah
http://arxiv.org/abs/2010.14537v1
• [cs.RO]Visually Guided Balloon Popping with an Autonomous MAV at MBZIRC 2020
Marius Beul, Simon Bultmann, Andre Rochow, Radu Alexandru Rosu, Daniel Schleich, Malte Splietker, Sven Behnke
http://arxiv.org/abs/2010.14913v1
• [cs.SD]CopyPaste: An Augmentation Method for Speech Emotion Recognition
Raghavendra Pappagari, Jesús Villalba, Piotr Żelasko, Laureano Moro-Velazquez, Najim Dehak
http://arxiv.org/abs/2010.14602v1
• [cs.SD]Decoupling Pronunciation and Language for End-to-end Code-switching Automatic Speech Recognition
Shuai Zhang, Jiangyan Yi, Zhengkun Tian, Ye Bai, Jianhua Tao, Zhengqi wen
http://arxiv.org/abs/2010.14798v1
• [cs.SD]INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices
Yiwu Yao, Yuchao Li, Chengyu Wang, Tianhang Yu, Houjiang Chen, Xiaotang Jiang, Jun Yang, Jun Huang, Wei Lin, Hui Shu, Chengfei Lv
http://arxiv.org/abs/2010.14841v1
• [cs.SD]Large-Scale MIDI-based Composer Classification
Qiuqiang Kong, Keunwoo Choi, Yuxuan Wang
http://arxiv.org/abs/2010.14805v1
• [cs.SD]Melody-Conditioned Lyrics Generation with SeqGANs
Yihao Chen, Alexander Lerch
http://arxiv.org/abs/2010.14709v1
• [cs.SD]Non-Autoregressive Transformer ASR with CTC-Enhanced Decoder Input
Xingchen Song, Zhiyong Wu, Yiheng Huang, Chao Weng, Dan Su, Helen Meng
http://arxiv.org/abs/2010.15025v1
• [cs.SD]PPG-based singing voice conversion with adversarial representation learning
Zhonghao Li, Benlai Tang, Xiang Yin, Yuan Wan, Ling Xu, Chen Shen, Zejun Ma
http://arxiv.org/abs/2010.14804v1
• [cs.SD]Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset
Kun Zhou, Berrak Sisman, Rui Liu, Haizhou Li
http://arxiv.org/abs/2010.14794v1
• [cs.SI]COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data
Parth Asawa, Manas Gaur, Kaushik Roy, Amit Sheth
http://arxiv.org/abs/2010.14628v1
• [cs.SI]Characterizing Human Mobility Patterns During COVID-19 using Cellular Network Data
Necati A. Ayan, Nilson L. Damasceno, Sushil Chaskar, Peron R. de Sousa, Arti Ramesh, Anand Seetharam, Antonio A. de A. Rocha
http://arxiv.org/abs/2010.14558v1
• [cs.SI]Correlation Robust Influence Maximization
Louis Chen, Divya Padmanabhan, Chee Chin Lim, Karthik Natarajan
http://arxiv.org/abs/2010.14620v1
• [cs.SI]Modeling social media contagion using Hawkes processes
Zbigniew Palmowski, Daria Puchalska
http://arxiv.org/abs/2010.14623v1
• [cs.SI]On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction
Gourab K Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi
http://arxiv.org/abs/2010.14624v1
• [cs.SI]Predicting Engagement with the Internet Research Agency’s Facebook and Instagram Campaigns around the 2016 U.S. Presidential Election
Dimitra Liotsiou, Bharath Ganesh, Philip N. Howard
http://arxiv.org/abs/2010.14950v1
• [cs.SI]Vertex nomination between graphs via spectral embedding and quadratic programming
Runbing Zheng, Vince Lyzinski, Carey E. Priebe, Minh Tang
http://arxiv.org/abs/2010.14622v1
• [cs.SI]Wikipedia: A Challenger’s Best Friend? Utilising Information-seeking Behaviour Patterns to Predict US Congressional Elections
Hamza Salem, Fabian Stephany
http://arxiv.org/abs/2010.14627v1
• [econ.EM]Deep Learning for Individual Heterogeneity
Max H. Farrell, Tengyuan Liang, Sanjog Misra
http://arxiv.org/abs/2010.14694v1
• [eess.AS]CASS-NAT: CTC Alignment-based Single Step Non-autoregressive Transformer for Speech Recognition
Ruchao Fan, Wei Chu, Peng Chang, Jing Xiao
http://arxiv.org/abs/2010.14725v1
• [eess.AS]Cascaded encoders for unifying streaming and non-streaming ASR
Arun Narayanan, Tara N. Sainath, Ruoming Pang, Jiahui Yu, Chung-Cheng Chiu, Rohit Prabhavalkar, Ehsan Variani, Trevor Strohman
http://arxiv.org/abs/2010.14606v1
• [eess.AS]Optimizing Short-Time Fourier Transform Parameters via Gradient Descent
An Zhao, Krishna Subramani, Paris Smaragdis
http://arxiv.org/abs/2010.15049v1
• [eess.AS]Replay and Synthetic Speech Detection with Res2net Architecture
Xu Li, Na Li, Chao Weng, Xunying Liu, Dan Su, Dong Yu, Helen Meng
http://arxiv.org/abs/2010.15006v1
• [eess.IV]Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples
Xin Ding, Qiong Zhang, William J. Welch
http://arxiv.org/abs/2010.14782v1
• [eess.IV]Forgery Blind Inspection for Detecting Manipulations of Gel Electrophoresis Images
Hao-Chiang Shao, Ya-Jen Cheng, Meng-Yun Duh, Chia-Wen Lin
http://arxiv.org/abs/2010.15086v1
• [eess.IV]Medical Deep Learning — A systematic Meta-Review
Jan Egger, Christina Gsxaner, Antonio Pepe, Jianning Li
http://arxiv.org/abs/2010.14881v1
• [eess.SP]An Approach for GCI Fusion With Labeled Multitarget Densities
Yongwen Jin, Jianxun Li
http://arxiv.org/abs/2010.14943v1
• [eess.SP]Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks
Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi
http://arxiv.org/abs/2010.14585v1
• [math.DS]Around the variational principle for metric mean dimension
Yonatan Gutman, Adam Śpiewak
http://arxiv.org/abs/2010.14772v1
• [math.DS]Data-driven prediction of multistable systems from sparse measurements
Bryan Chu, Mohammad Farazmand
http://arxiv.org/abs/2010.14706v1
• [math.PR]Tangent fields, intrinsic stationarity, and self similarity
Jinqi Shen, Stilian Stoev, Tailen Hsing
http://arxiv.org/abs/2010.14715v1
• [math.ST]Combinatorial-Probabilistic Trade-Off: Community Properties Test in the Stochastic Block Models
Shuting Shen, Junwei Lu
http://arxiv.org/abs/2010.15063v1
• [physics.chem-ph]Machine learning of solvent effects on molecular spectra and reactions
Michael Gastegger, Kristof T. Schütt, Klaus-Robert Müller
http://arxiv.org/abs/2010.14942v1
• [physics.comp-ph]Parameterized Neural Ordinary Differential Equations: Applications to Computational Physics Problems
Kookjin Lee, Eric J. Parish
http://arxiv.org/abs/2010.14685v1
• [physics.geo-ph]Improving seasonal forecast using probabilistic deep learning
Baoxiang Pan, Gemma J. Anderson, AndrE Goncalves, Donald D. Lucas, CEline J. W. Bonfils, Jiwoo Lee
http://arxiv.org/abs/2010.14610v1
• [q-bio.QM]Automatic selection of eye tracking variables in visual categorization in adults and infants
Samuel Rivera, Catherine A. Best, Hyungwook Yim, Dirk B. Walther, Vladimir M. Sloutsky, Aleix M. Martinez
http://arxiv.org/abs/2010.15047v1
• [q-fin.ST]Evaluating data augmentation for financial time series classification
Elizabeth Fons, Paula Dawson, Xiao-jun Zeng, John Keane, Alexandros Iosifidis
http://arxiv.org/abs/2010.15111v1
• [stat.AP]Advancing statistical decision-making in sports science
Janet Aisbett, Eric J. Drinkwater, Kenneth L. Quarrie, Stephen Woodcock
http://arxiv.org/abs/2010.13375v2
• [stat.CO]Generalized eigen, singular value, and partial least squares decompositions: The GSVD package
Derek Beaton
http://arxiv.org/abs/2010.14734v1
• [stat.ME]Bayesian Variable Selection in Multivariate Nonlinear Regression with Graph Structures
Yabo Niu, Nilabja Guha, Debkumar De, Anindya Bhadra, Veerabhadran Baladandayuthapani, Bani K. Mallick
http://arxiv.org/abs/2010.14638v1
• [stat.ME]Bridging linearity-based and kernel-based sufficient dimension reduction
Youngjoo Cho, Debashis Ghosh
http://arxiv.org/abs/2010.15009v1
• [stat.ME]Covariate-adjusted Fisher randomization tests for the average treatment effect
Anqi Zhao, Peng Ding
http://arxiv.org/abs/2010.14555v1
• [stat.ME]Maximum approximate likelihood estimation of general continuous-time state-space models
Sina Mews, Roland Langrock, Marius Ötting, Houda Yaqine, Jost Reinecke
http://arxiv.org/abs/2010.14883v1
• [stat.ME]On an Induced Distribution and its Statistical Properties
Brijesh P. Singh, Utpal Dhar Das
http://arxiv.org/abs/2010.15078v1
• [stat.ML]A Simple Spectral Failure Mode for Graph Convolutional Networks
Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen
http://arxiv.org/abs/2010.13152v2
• [stat.ML]Hierarchical Gaussian Processes with Wasserstein-2 Kernels
Sebastian Popescu, David Sharp, James Cole, Ben Glocker
http://arxiv.org/abs/2010.14877v1
• [stat.ML]Particle gradient descent model for point process generation
Antoine Brochard, Bartłomiej Błaszczyszyn, Stéphane Mallat, Sixin Zhang
http://arxiv.org/abs/2010.14928v1
• [stat.ML]The Evidence Lower Bound of Variational Autoencoders Converges to a Sum of
4000
Three Entropies
Jörg Lücke, Dennis Forster, Zhenwen Dai
http://arxiv.org/abs/2010.14860v1
• [stat.ML]Training Generative Adversarial Networks by Solving Ordinary Differential Equations
Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andrew Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli
http://arxiv.org/abs/2010.15040v1
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