astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.ET - 新兴技术 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.PL - 编程语言 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 eess.SY - 系统和控制 hep-ph - 高能物理现象学 math.NA - 数值分析 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.flu-dyn - 流体动力学 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.IM]Disentangled Representation Learning for Astronomical Chemical Tagging
• [cs.AI]3D Head-Position Prediction in First-Person View by Considering Head Pose for Human-Robot Eye Contact
• [cs.AI]A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance
• [cs.AI]A conditional, a fuzzy and a probabilistic interpretation of self-organising maps
• [cs.AI]Hard Attention Control By Mutual Information Maximization
• [cs.AI]Intelligent behavior depends on the ecological niche: Scaling up AI to human-like intelligence in socio-cultural environments
• [cs.AI]Knowledge Graph Question Answering using Graph-Pattern Isomorphism
• [cs.AI]Metapaths guided Neighbors aggregated Network for?Heterogeneous Graph Reasoning
• [cs.AI]Symbolic Reinforcement Learning for Safe RAN Control
• [cs.AI]What is Multimodality?
• [cs.CL]ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction
• [cs.CL]Active Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation
• [cs.CL]CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation
• [cs.CL]COVID-19 Smart Chatbot Prototype for Patient Monitoring
• [cs.CL]Causal-aware Safe Policy Improvement for Task-oriented dialogue
• [cs.CL]Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering
• [cs.CL]DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces
• [cs.CL]Does the Magic of BERT Apply to Medical Code Assignment? A Quantitative Study
• [cs.CL]Domain State Tracking for a Simplified Dialogue System
• [cs.CL]ENTRUST: Argument Reframing with Language Models and Entailment
• [cs.CL]Evaluation of Morphological Embeddings for the Russian Language
• [cs.CL]FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders
• [cs.CL]Hurdles to Progress in Long-form Question Answering
• [cs.CL]Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework
• [cs.CL]LightMBERT: A Simple Yet Effective Method for Multilingual BERT Distillation
• [cs.CL]MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding
• [cs.CL]Majority Voting with Bidirectional Pre-translation Improves Bitext Retrieval
• [cs.CL]MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization
• [cs.CL]ReportAGE: Automatically extracting the exact age of Twitter users based on self-reports in tweets
• [cs.CL]Self-supervised Text-to-SQL Learning with Header Alignment Training
• [cs.CL]The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models
• [cs.CL]Topical Language Generation using Transformers
• [cs.CL]Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution
• [cs.CL]Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings
• [cs.CL]Unified Pre-training for Program Understanding and Generation
• [cs.CL]Unsupervised Transfer Learning in Multilingual Neural Machine Translation with Cross-Lingual Word Embeddings
• [cs.CR]Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks
• [cs.CR]On Medical Device Cybersecurity Compliance in EU
• [cs.CR]Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support
• [cs.CR]TANTRA: Timing-Based Adversarial Network Traffic Reshaping Attack
• [cs.CV]3D Human Pose, Shape and Texture from Low-Resolution Images and Videos
• [cs.CV]Adversarial Regression Learning for Bone Age Estimation
• [cs.CV]Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality
• [cs.CV]Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and Algorithm
• [cs.CV]Calibrated and Partially Calibrated Semi-Generalized Homographies
• [cs.CV]ChallenCap: Monocular 3D Capture of Challenging Human Performances using Multi-Modal References
• [cs.CV]CoMoGAN: continuous model-guided image-to-image translation
• [cs.CV]Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization
• [cs.CV]Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
• [cs.CV]DAFAR: Detecting Adversaries by Feedback-Autoencoder Reconstruction
• [cs.CV]Deep Graph Matching under Quadratic Constraint
• [cs.CV]Diverse Semantic Image Synthesis via Probability Distribution Modeling
• [cs.CV]DualPoseNet: Category-level 6D Object Pose and Size Estimation using Dual Pose Network with Refined Learning of Pose Consistency
• [cs.CV]Duplex Contextual Relation Network for Polyp Segmentation
• [cs.CV]Dynamical Pose Estimation
• [cs.CV]Face Images as Jigsaw Puzzles: Compositional Perception of Human Faces for Machines Using Generative Adversarial Networks
• [cs.CV]Fast and Accurate Model Scaling
• [cs.CV]Full Page Handwriting Recognition via Image to Sequence Extraction
• [cs.CV]Generalized Contrastive Optimization of Siamese Networks for Place Recognition
• [cs.CV]Holistic 3D Scene Understanding from a Single Image with Implicit Representation
• [cs.CV]Instance Segmentation GNNs for One-Shot Conformal Tracking at the LHC
• [cs.CV]Integrated Age Estimation Mechanism
• [cs.CV]Level-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement
• [cs.CV]MagFace: A Universal Representation for Face Recognition and Quality Assessment
• [cs.CV]PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data
• [cs.CV]Pavement Distress Detection and Segmentation using YOLOv4 and DeepLabv3 on Pavements in the Philippines
• [cs.CV]PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation
• [cs.CV]Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks
• [cs.CV]Privacy-preserving Object Detection
• [cs.CV]Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition
• [cs.CV]Real-Time Surface Fitting to RGBD Sensor Data
• [cs.CV]Robust 2D/3D Vehicle Parsing in CVIS
• [cs.CV]SMPLicit: Topology-aware Generative Model for Clothed People
• [cs.CV]Structure-From-Motion and RGBD Depth Fusion
• [cs.CV]Temporal Action Segmentation from Timestamp Supervision
• [cs.CV]Triple-cooperative Video Shadow Detection
• [cs.CV]Unknown Object Segmentation from Stereo Images
• [cs.CV]WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training
• [cs.CY]Designing and Implementing e-justice Systems: An Information Systems Approach to Regional Trial Court Case Docket Management in Northern Mindanao, Philippines
• [cs.CY]Extracting candidate factors affecting long-term trends of student abilities across subjects
• [cs.CY]On Medical Device Software CE Compliance and Conformity Assessment
• [cs.CY]Physical Activity Analysis of College Students During the COVID-19 Pandemic Using Smartphones
• [cs.CY]Towards Determining the Effect of Age and Educational Level on Cyber-Hygiene
• [cs.DC]Compiler-Guided Throughput Scheduling for Many-core Machines
• [cs.DC]Drone-as-a-Service Composition Under Uncertainty
• [cs.DC]Fuzzy Logic-based Robust Failure Handling Mechanism for Fog Computing
• [cs.DC]Multiple Linear Regression-Based Energy-Aware Resource Allocation in the Fog Computing Environment
• [cs.ET]Memristive Stochastic Computing for Deep Learning Parameter Optimization
• [cs.GT]XDO: A Double Oracle Algorithm for Extensive-Form Games
• [cs.HC]Adapting User Interfaces with Model-based Reinforcement Learning
• [cs.HC]Explanations in Autonomous Driving: A Survey
• [cs.IR]A Systematic Evaluation of Transfer Learning and Pseudo-labeling with BERT-based Ranking Models
• [cs.IR]Composite Re-Ranking for Efficient Document Search with BERT
• [cs.IR]Heterogeneous Information Network-based Interest Composition with Graph Neural Network for Recommendation
• [cs.IR]Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation
• [cs.IR]User-centered Evaluation of Popularity Bias in Recommender Systems
• [cs.IT]A Generalization of the Concavity of Rényi Entropy Powe
• [cs.IT]A New Metric on Symmetric Group and Application to Block Permutation Codes
• [cs.IT]Improved Coherence Index-Based Bound in Compressive Sensing
• [cs.LG]A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks
• [cs.LG]A Quadratic Actor Network for Model-Free Reinforcement Learning
• [cs.LG]Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink
• [cs.LG]Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters
• [cs.LG]BODAME: Bilevel Optimization for Defense Against Model Extraction
• [cs.LG]Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification
• [cs.LG]Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning
• [cs.LG]Data Collection and Acceleration Infrastructure for FPGA-based Edge AI Applications
• [cs.LG]Differentially Private Query Release Through Adaptive Projection
• [cs.LG]Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation
• [cs.LG]Emerging Paradigms of Neural Network Pruning
• [cs.LG]Fair Mixup: Fairness via Interpolation
• [cs.LG]For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash Functions
• [cs.LG]Generalizable Episodic Memory for Deep Reinforcement Learning
• [cs.LG]Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction
• [cs.LG]Implicit energy regularization of neural ordinary-differential-equation control
• [cs.LG]Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning
• [cs.LG]Inference for Generative Capsule Models
• [cs.LG]Intraclass clustering: an implicit learning ability that regularizes DNNs
• [cs.LG]Learning with partially separable data
• [cs.LG]Multi-Task Federated Reinforcement Learning with Adversaries
• [cs.LG]Policy Search with Rare Significant Events: Choosing the Right Partner to Cooperate with
• [cs.LG]S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning
• [cs.LG]Scaffold Embeddings: Learning the Structure Spanned by Chemical Fragments, Scaffolds and Compounds
• [cs.LG]Should Graph Neural Networks Use Features, Edges, Or Both?
• [cs.LG]Understanding the origin of information-seeking exploration in probabilistic objectives for control
• [cs.LG]Wasserstein Robust Support Vector Machines with Fairness Constraints
• [cs.NE]An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization
• [cs.NE]Multi-Objective Reinforcement Learning based Multi-Microgrid System Optimisation Problem
• [cs.NE]Multi-objective discovery of PDE systems using evolutionary approach
• [cs.NE]Population-Based Evolution Optimizes a Meta-Learning Objective
• [cs.PL]Auto-COP: Adaptation Generation in Context-Oriented Programming using Reinforcement Learning Options
• [cs.PL]Functional Collection Programming with Semi-Ring Dictionaries
• [cs.RO]Controlled Gaussian Process Dynamical Models with Application to Robotic Cloth Manipulation
• [cs.RO]Dynamic Grasping with a “Soft” Drone: From Theory to Practice
• [cs.RO]FAST-Dynamic-Vision: Detection and Tracking Dynamic Objects with Event and Depth Sensing
• [cs.RO]Fast-Tracker 2.0: Improving Autonomy of Aerial Tracking with Active Vision and Human Location Regression
• [cs.RO]Have I been here before? Learning to Close the Loop with LiDAR Data in Graph-Based SLAM
• [cs.RO]Hiding Leader’s Identity in Leader-Follower Navigation through Multi-Agent Reinforcement Learning
• [cs.RO]Hierarchical Bayesian Model for the Transfer of Knowledge on Spatial Concepts based on Multimodal Information
• [cs.RO]Imitation learning for variable speed motion generation over multiple actions
• [cs.RO]PANTHER: Perception-Aware Trajectory Planner in Dynamic Environments
• [cs.RO]Programming Robot Behaviors with Execution Management Functions
• [cs.RO]Robust High-speed Running for Quadruped Robots via Deep Reinforcement Learning
• [cs.RO]Self-Supervised Motion Retargeting with Safety Guarantee
• [cs.RO]Swarm Robots in Agriculture
• [cs.RO]Visibility-aware Trajectory Optimization with Application to Aerial Tracking
• [cs.RO]Where is your place, Visual Place Recognition?
• [cs.SD]Multi-Format Contrastive Learning of Audio Representations
• [cs.SI]Firms’ Challenges and Social Responsibilities during Covid-19: a Twitter Analysis
• [econ.EM]Convergence of Computed Dynamic Models with Unbounded Shock
• [eess.AS]BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation
• [eess.AS]Learning Word-Level Confidence For Subword End-to-End ASR
• [eess.IV]A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data
• [eess.IV]A learning-based view extrapolation method for axial super-resolution
• [eess.IV]An unsupervised deep learning framework for medical image denoising
• [eess.IV]Automated liver tissues delineation based on machine learning techniques: A survey, current trends and future orientations
• [eess.IV]Enhancing VMAF through New Feature Integration and Model Combination
• [eess.IV]Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations
• [eess.IV]SAR-U-Net: squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver CT segmentation
• [eess.SP]Uncoordinated and Decentralized Processing in Extra-Large MIMO Arrays
• [eess.SY]Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk
• [hep-ph]Bump Hunting in Latent Space
• [math.NA]Linear-Mapping based Variational Ensemble Kalman Filter
• [math.ST]Causal inference with misspecified exposure mappings
• [math.ST]Dimension free convergence rates for Gibbs samplers for Bayesian linear mixed models
• [math.ST]Doubly robust confidence sequences for sequential causal inference
• [math.ST]Estimation of Conditional Mean Operator under the Bandable Covariance Structure
• [math.ST]Overlap of OLS Regression and Principal Loading Analysis
• [math.ST]Parameter estimation in diffusion models with low regularity coefficients
• [physics.ao-ph]Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multiple Data Sources
• [physics.flu-dyn]Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids
• [physics.flu-dyn]Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion
• [quant-ph]A semi-agnostic ansatz with variable structure for quantum machine learning
• [quant-ph]Tensor networks and efficient descriptions of classical data
• [quant-ph]Variational inference with a quantum computer
• [stat.AP]COVID-19: Optimal Allocation of Ventilator Supply under Uncertainty and Risk
• [stat.AP]Meta-analysis of dichotomous and polytomous diagnostic tests without a gold standard
• [stat.ME]A fusion learning method to subgroup analysis for longitudinal trajectories
• [stat.ME]BaySize: Bayesian Sample Size Planning for Phase I Dose-Finding Trials
• [stat.ME]Design and Analysis of Bipartite Experiments under a Linear Exposure-Response Model
• [stat.ME]Factorized Binary Search: change point detection in the network structure of multivariate high-dimensional time series
• [stat.ME]Likelihood-based missing data analysis in multivariate crossover trials
• [stat.ME]Multivariate Functional Additive Mixed Models
• [stat.ME]PoD-BIN: A Probability of Decision Bayesian Interval Design for Time-to-Event Dose-Finding Trials with Multiple Toxicity Grades
• [stat.ME]Profiling Compliers in Instrumental Variables Designs
• [stat.ME]Simultaneous comparisons of treatments versus control (Dunnett-type tests) for location-scale alternatives
• [stat.ML]A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets
• [stat.ML]Covariate-assisted Sparse Tensor Completion
• [stat.ML]On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks
·····································
• [astro-ph.IM]Disentangled Representation Learning for Astronomical Chemical Tagging
Damien de Mijolla, Melissa Ness, Serena Viti, Adam Wheeler
http://arxiv.org/abs/2103.06377v1
• [cs.AI]3D Head-Position Prediction in First-Person View by Considering Head Pose for Human-Robot Eye Contact
Yuki Tamaru, Yasunori Ozaki, Yuki Okafuji, Jun Baba, Junya Nakanishi, Yuichiro Yoshikawa
http://arxiv.org/abs/2103.06417v1
• [cs.AI]A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance
Jeremy Roghair, Kyungtae Ko, Amir Ehsan Niaraki Asli, Ali Jannesari
http://arxiv.org/abs/2103.06403v1
• [cs.AI]A conditional, a fuzzy and a probabilistic interpretation of self-organising maps
Laura Giordano, Valentina Gliozzi, Daniele Theseider Dupré
http://arxiv.org/abs/2103.06854v1
• [cs.AI]Hard Attention Control By Mutual Information Maximization
Himanshu Sahni, Charles Isbell
http://arxiv.org/abs/2103.06371v1
• [cs.AI]Intelligent behavior depends on the ecological niche: Scaling up AI to human-like intelligence in socio-cultural environments
Manfred Eppe, Pierre-Yves Oudeyer
http://arxiv.org/abs/2103.06769v1
• [cs.AI]Knowledge Graph Question Answering using Graph-Pattern Isomorphism
Daniel Vollmers, Rricha Jalota, Diego Moussallem, Hardik Topiwala, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck
http://arxiv.org/abs/2103.06752v1
• [cs.AI]Metapaths guided Neighbors aggregated Network for?Heterogeneous Graph Reasoning
Bang Lin, Xiuchong Wang, Yu Dong, Chengfu Huo, Weijun Ren, Chuanyu Xu
http://arxiv.org/abs/2103.06474v1
• [cs.AI]Symbolic Reinforcement Learning for Safe RAN Control
Alexandros Nikou, Anusha Mujumdar, Marin Orlic, Aneta Vulgarakis Feljan
http://arxiv.org/abs/2103.06602v1
• [cs.AI]What is Multimodality?
Letitia Parcalabescu, Nils Trost, Anette Frank
http://arxiv.org/abs/2103.06304v1
• [cs.CL]ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction
Jiahao Bu, Lei Ren, Shuang Zheng, Yang Yang, Jingang Wang, Fuzheng Zhang, Wei Wu
http://arxiv.org/abs/2103.06605v1
• [cs.CL]Active Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation
Rishi Hazra, Parag Dutta, Shubham Gupta, Mohammed Abdul Qaathir, Ambedkar Dukkipati
http://arxiv.org/abs/2103.06490v1
• [cs.CL]CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation
Jonathan H. Clark, Dan Garrette, Iulia Turc, John Wieting
http://arxiv.org/abs/2103.06874v1
• [cs.CL]COVID-19 Smart Chatbot Prototype for Patient Monitoring
Hannah Lei, Weiqi Lu, Alan Ji, Emmett Bertram, Paul Gao, Xiaoqian Jiang, Arko Barman
http://arxiv.org/abs/2103.06816v1
• [cs.CL]Causal-aware Safe Policy Improvement for Task-oriented dialogue
Govardana Sachithanandam Ramachandran, Kazuma Hashimoto, Caiming Xiong
http://arxiv.org/abs/2103.06370v1
• [cs.CL]Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering
Stan Peshterliev, Barlas Oguz, Debojeet Chatterjee, Hakan Inan, Vikas Bhardwaj
http://arxiv.org/abs/2103.06500v1
• [cs.CL]DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces
Niklas Friedrich, Anne Lauscher, Simone Paolo Ponzetto, Goran Glavaš
http://arxiv.org/abs/2103.06598v1
• [cs.CL]Does the Magic of BERT Apply to Medical Code Assignment? A Quantitative Study
Shaoxiong Ji, Matti Hölttä, Pekka Marttinen
http://arxiv.org/abs/2103.06511v1
• [cs.CL]Domain State Tracking for a Simplified Dialogue System
Hyunmin Jeon, Gary Geunbae Lee
http://arxiv.org/abs/2103.06648v1
• [cs.CL]ENTRUST: Argument Reframing with Language Models and Entailment
Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan
http://arxiv.org/abs/2103.06758v1
• [cs.CL]Evaluation of Morphological Embeddings for the Russian Language
Vitaly Romanov, Albina Khusainova
http://arxiv.org/abs/2103.06628v1
• [cs.CL]FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders
Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin
http://arxiv.org/abs/2103.06413v1
• [cs.CL]Hurdles to Progress in Long-form Question Answering
Aurko Roy, Mohit Iyyer
http://arxiv.org/abs/2103.06332v1
• [cs.CL]Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework
Kevin Lybarger, Linzee Mabrey, Matthew Thau, Pavan K. Bhatraju, Mark Wurfel, Meliha Yetisgen
http://arxiv.org/abs/2103.06352v1
• [cs.CL]LightMBERT: A Simple Yet Effective Method for Multilingual BERT Distillation
Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu
http://arxiv.org/abs/2103.06418v1
• [cs.CL]MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding
Tuhin Chakrabarty, Xurui Zhang, Smaranda Muresan, Nanyun Peng
http://arxiv.org/abs/2103.06779v1
• [cs.CL]Majority Voting with Bidirectional Pre-translation Improves Bitext Retrieval
Alex Jones, Derry Tanti Wijaya
http://arxiv.org/abs/2103.06369v1
• [cs.CL]MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization
Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng
http://arxiv.org/abs/2103.06410v1
• [cs.CL]ReportAGE: Automatically extracting the exact age of Twitter users based on self-reports in tweets
Ari Z. Klein, Arjun Magge, Graciela Gonzalez-Hernandez
http://arxiv.org/abs/2103.06357v1
• [cs.CL]Self-supervised Text-to-SQL Learning with Header Alignment Training
Donggyu Kim, Seanie Lee
http://arxiv.org/abs/2103.06402v1
• [cs.CL]The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models
Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, Houda Bouamor, Nizar Habash
http://arxiv.org/abs/2103.06678v1
• [cs.CL]Topical Language Generation using Transformers
Rohola Zandie, Mohammad H. Mahoor
http://arxiv.org/abs/2103.06434v1
• [cs.CL]Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution
Xavier Garcia, Noah Constant, Ankur P. Parikh, Orhan Firat
http://arxiv.org/abs/2103.06799v1
• [cs.CL]Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings
Linlin Liu, Thien Hai Nguyen, Shafiq Joty, Lidong Bing, Luo Si
http://arxiv.org/abs/2103.06459v1
• [cs.CL]Unified Pre-training for Program Understanding and Generation
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
http://arxiv.org/abs/2103.06333v1
• [cs.CL]Unsupervised Transfer Learning in Multilingual Neural Machine Translation with Cross-Lingual Word Embeddings
Carlos Mullov, Ngoc-Quan Pham, Alexander Waibel
http://arxiv.org/abs/2103.06689v1
• [cs.CR]Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks
Anna Kuzina, Max Welling, Jakub M. Tomczak
http://arxiv.org/abs/2103.06701v1
• [cs.CR]On Medical Device Cybersecurity Compliance in EU
Tuomas Granlund, Juha Vedenpää, Vlad Stirbu, Tommi Mikkonen
http://arxiv.org/abs/2103.06809v1
• [cs.CR]Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support
Guangyuan Hu, Zecheng He, Ruby B. Lee
http://arxiv.org/abs/2103.06453v1
• [cs.CR]TANTRA: Timing-Based Adversarial Network Traffic Reshaping Attack
Yam Sharon, David Berend, Yang Liu, Asaf Shabtai, Yuval Elovici
http://arxiv.org/abs/2103.06297v1
• [cs.CV]3D Human Pose, Shape and Texture from Low-Resolution Images and Videos
Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, Laszlo A. Jeni, Fernando De la Torre
http://arxiv.org/abs/2103.06498v1
• [cs.CV]Adversarial Regression Learning for Bone Age Estimation
Youshan Zhang, Brian D. Davison
http://arxiv.org/abs/2103.06149v1
• [cs.CV]Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality
Trisha Mittal, Puneet Mathur, Aniket Bera, Dinesh Manocha
http://arxiv.org/abs/2103.06541v1
• [cs.CV]Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and Algorithm
Mert Seker, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju
http://arxiv.org/abs/2103.06759v1
• [cs.CV]Calibrated and Partially Calibrated Semi-Generalized Homographies
Snehal Bhayani, Torsten Sattler, Daniel Barath, Patrik Beliansky, Janne Heikkila, Zuzana Kukelova
http://arxiv.org/abs/2103.06535v1
• [cs.CV]ChallenCap: Monocular 3D Capture of Challenging Human Performances using Multi-Modal References
Yannan He, Anqi Pang, Xin Chen, Han Liang, Minye Wu, Yuexin Ma, Lan Xu
http://arxiv.org/abs/2103.06747v1
• [cs.CV]CoMoGAN: continuous model-guided image-to-image translation
Fabio Pizzati, Pietro Cerri, Raoul de Charette
http://arxiv.org/abs/2103.06879v1
• [cs.CV]Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization
Aysim Toker, Qunjie Zhou, Maxim Maximov, Laura Leal-Taixé
http://arxiv.org/abs/2103.06818v1
• [cs.CV]Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
Umberto Michieli, Pietro Zanuttigh
http://arxiv.org/abs/2103.06342v1
• [cs.CV]DAFAR: Detecting Adversaries by Feedback-Autoencoder Reconstruction
Haowen Liu, Ping Yi, Hsiao-Ying Lin, Jie Shi
http://arxiv.org/abs/2103.06487v1
• [cs.CV]Deep Graph Matching under Quadratic Constraint
Quankai Gao, Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia
http://arxiv.org/abs/2103.06643v1
• [cs.CV]Diverse Semantic Image Synthesis via Probability Distribution Modeling
Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Bin Liu, Gang Hua, Nenghai Yu
http://arxiv.org/abs/2103.06878v1
• [cs.CV]DualPoseNet: Category-level 6D Object Pose and Size Estimation using Dual Pose Network with Refined Learning of Pose Consistency
Jiehong Lin, Zewei Wei, Zhihao Li, Songcen Xu, Kui Jia, Yuanqing Li
http://arxiv.org/abs/2103.06526v1
• [cs.CV]Duplex Contextual Relation Network for Polyp Segmentation
Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo
http://arxiv.org/abs/2103.06725v1
• [cs.CV]Dynamical Pose Estimation
Heng Yang, Chris Doran, Jean-Jacques Slotine
http://arxiv.org/abs/2103.06182v2
• [cs.CV]Face Images as Jigsaw Puzzles: Compositional Perception of Human Faces for Machines Using Generative Adversarial Networks
Mahla Abdolahnejad, Peter Xiaoping Liu
http://arxiv.org/abs/2103.06331v1
• [cs.CV]Fast and Accurate Model Scaling
Piotr Dollár, Mannat Singh, Ross Girshick
http://arxiv.org/abs/2103.06877v1
• [cs.CV]Full Page Handwriting Recognition via Image to Sequence Extraction
Sumeet S. Singh, Sergey Karayev
http://arxiv.org/abs/2103.06450v1
• [cs.CV]Generalized Contrastive Optimization of Siamese Networks for Place Recognition
María Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
http://arxiv.org/abs/2103.06638v1
• [cs.CV]Holistic 3D Scene Understanding from a Single Image with Implicit Representation
Cheng Zhang, Zhaopeng Cui, Yinda Zhang, Bing Zeng, Marc Pollefeys, Shuaicheng Liu
http://arxiv.org/abs/2103.06422v1
• [cs.CV]Instance Segmentation GNNs for One-Shot Conformal Tracking at the LHC
Savannah Thais, Gage DeZoort
http://arxiv.org/abs/2103.06509v1
• [cs.CV]Integrated Age Estimation Mechanism
Fan Li, Yongming Li, Pin Wang, Jie Xiao, Fang Yan, Xinke Li
http://arxiv.org/abs/2103.06546v1
• [cs.CV]Level-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement
Chi Zhang, Zihang Lin, Liheng Xu, Zongliang Li, Le Wang, Yuehu Liu, G
2d4
aofeng Meng, Li Li, Nanning Zheng
http://arxiv.org/abs/2103.06501v1
• [cs.CV]MagFace: A Universal Representation for Face Recognition and Quality Assessment
Qiang Meng, Shichao Zhao, Zhida Huang, Feng Zhou
http://arxiv.org/abs/2103.06627v1
• [cs.CV]PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data
Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael Lew
http://arxiv.org/abs/2103.06552v1
• [cs.CV]Pavement Distress Detection and Segmentation using YOLOv4 and DeepLabv3 on Pavements in the Philippines
James-Andrew Sarmiento
http://arxiv.org/abs/2103.06467v1
• [cs.CV]PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation
Xiangtai Li, Hao He, Xia Li, Duo Li, Guangliang Cheng, Jianping Shi, Lubin Weng, Yunhai Tong, Zhouchen Lin
http://arxiv.org/abs/2103.06564v1
• [cs.CV]Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks
Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Wei Chen, Michael Lew
http://arxiv.org/abs/2103.06583v1
• [cs.CV]Privacy-preserving Object Detection
Peiyang He, Charlie Griffin, Krzysztof Kacprzyk, Artjom Joosen, Michael Collyer, Aleksandar Shtedritski, Yuki M. Asano
http://arxiv.org/abs/2103.06587v1
• [cs.CV]Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition
Shancheng Fang, Hongtao Xie, Yuxin Wang, Zhendong Mao, Yongdong Zhang
http://arxiv.org/abs/2103.06495v1
• [cs.CV]Real-Time Surface Fitting to RGBD Sensor Data
John Papadakis, Andrew R. Willis
http://arxiv.org/abs/2103.06644v1
• [cs.CV]Robust 2D/3D Vehicle Parsing in CVIS
Hui Miao, Feixiang Lu, Zongdai Liu, Liangjun Zhang, Dinesh Manocha, Bin Zhou
http://arxiv.org/abs/2103.06432v1
• [cs.CV]SMPLicit: Topology-aware Generative Model for Clothed People
Enric Corona, Albert Pumarola, Guillem Alenyà, Gerard Pons-Moll, Francesc Moreno-Noguer
http://arxiv.org/abs/2103.06871v1
• [cs.CV]Structure-From-Motion and RGBD Depth Fusion
Akash Chandrashekar, John Papadakis, Andrew Willis, Jamie Gantert
http://arxiv.org/abs/2103.06366v1
• [cs.CV]Temporal Action Segmentation from Timestamp Supervision
Zhe Li, Yazan Abu Farha, Juergen Gall
http://arxiv.org/abs/2103.06669v1
• [cs.CV]Triple-cooperative Video Shadow Detection
Zhihao Chen, Liang Wan, Lei Zhu, Jia Shen, Huazhu Fu, Wennan Liu, Jing Qin
http://arxiv.org/abs/2103.06533v1
• [cs.CV]Unknown Object Segmentation from Stereo Images
Maximilian Durner, Wout Boerdijk, Martin Sundermeyer, Werner Friedl, Zoltan-Csaba Marton, Rudolph Triebel
http://arxiv.org/abs/2103.06796v1
• [cs.CV]WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training
Yuqi Huo, Manli Zhang, Guangzhen Liu, Haoyu Lu, Yizhao Gao, Guoxing Yang, Jingyuan Wen, Heng Zhang, Baogui Xu, Weihao Zheng, Zongzheng Xi, Yueqian Yang, Anwen Hu, Jinming Zhao, Ruichen Li, Yida Zhao, Liang Zhang, Yuqing Song, Xin Hong, Wanqing Cui, Danyang Hou, Yingyan Li, Junyi Li, Peiyu Liu, Zheng Gong, Chuhao Jin, Yuchong Sun, Shizhe Chen, Zhiwu Lu, Zhicheng Dou, Qin Jin, Yanyan Lan, Wayne Xin Zhao, Ruihua Song, Ji-Rong Wen
http://arxiv.org/abs/2103.06561v1
• [cs.CY]Designing and Implementing e-justice Systems: An Information Systems Approach to Regional Trial Court Case Docket Management in Northern Mindanao, Philippines
Benzar Glen Grepon
http://arxiv.org/abs/2103.06412v1
• [cs.CY]Extracting candidate factors affecting long-term trends of student abilities across subjects
Satoshi Takahashi, Hiroki Kuno, Atsushi Yoshikawa
http://arxiv.org/abs/2103.06446v1
• [cs.CY]On Medical Device Software CE Compliance and Conformity Assessment
Tuomas Granlund, Tommi Mikkonen, Vlad Stirbu
http://arxiv.org/abs/2103.06815v1
• [cs.CY]Physical Activity Analysis of College Students During the COVID-19 Pandemic Using Smartphones
Yuuki Nishiyama, Yuui Kakino, Enishi Naka, Yuka Noda, Satsuki Hashiba, Yusuke Yamada, Wataru Sasaki, Tadashi Okoshi, Jin Nakazawa, Masaki Mori, Hisashi Mizutori, Kotomi Shiota, Tomohisa Nagano, Yuko Tokairin, Takaaki Kato
http://arxiv.org/abs/2103.06515v1
• [cs.CY]Towards Determining the Effect of Age and Educational Level on Cyber-Hygiene
Celestine Ugwu, Casmir Ani, Modesta Ezema, Caroline Asogwa, Uchenna Ome, Adaora Obayi, Deborah Ebem, Aminat Atanda, Elochukwu Ukwandu
http://arxiv.org/abs/2103.06621v1
• [cs.DC]Compiler-Guided Throughput Scheduling for Many-core Machines
Girish Mururu, Chao Chen, Chris Porter, Santosh Pande, Ada Gavrilovska
http://arxiv.org/abs/2103.06647v1
• [cs.DC]Drone-as-a-Service Composition Under Uncertainty
Ali Hamdi, Flora D. Salim, Du Yong Kim, Azadeh Ghari Neiat, Athman Bouguettaya
http://arxiv.org/abs/2103.06513v1
• [cs.DC]Fuzzy Logic-based Robust Failure Handling Mechanism for Fog Computing
Ranesh Kumar Naha, Saurabh Garg, Muhammad Bilal Amin, Rajiv Ranjan
http://arxiv.org/abs/2103.06381v1
• [cs.DC]Multiple Linear Regression-Based Energy-Aware Resource Allocation in the Fog Computing Environment
Ranesh Kumar Naha, Saurabh Garg, Sudheer Kumar Battula, Muhammad Bilal Amin, Dimitrios Georgakopoulos
http://arxiv.org/abs/2103.06385v1
• [cs.ET]Memristive Stochastic Computing for Deep Learning Parameter Optimization
Corey Lammie, Jason K. Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi
http://arxiv.org/abs/2103.06506v1
• [cs.GT]XDO: A Double Oracle Algorithm for Extensive-Form Games
Stephen McAleer, John Lanier, Pierre Baldi, Roy Fox
http://arxiv.org/abs/2103.06426v1
• [cs.HC]Adapting User Interfaces with Model-based Reinforcement Learning
Kashyap Todi, Gilles Bailly, Luis A. Leiva, Antti Oulasvirta
http://arxiv.org/abs/2103.06807v1
• [cs.HC]Explanations in Autonomous Driving: A Survey
Daniel Omeiza, Helena Webb, Marina Jirotka, Lars Kunze
http://arxiv.org/abs/2103.05154v2
• [cs.IR]A Systematic Evaluation of Transfer Learning and Pseudo-labeling with BERT-based Ranking Models
Iurii Mokrii, Leonid Boytsov, Pavel Braslavski
http://arxiv.org/abs/2103.03335v2
• [cs.IR]Composite Re-Ranking for Efficient Document Search with BERT
Yingrui Yang, Yifan Qiao, Jinjin Shao, Mayuresh Anand, Xifeng Yan, Tao Yang
http://arxiv.org/abs/2103.06499v1
• [cs.IR]Heterogeneous Information Network-based Interest Composition with Graph Neural Network for Recommendation
Dengcheng Yan, Wenxin Xie, Yiwen Zhang
http://arxiv.org/abs/2103.06560v1
• [cs.IR]Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation
Jaekeol Choi, Euna Jung, Jangwon Suh, Wonjong Rhee
http://arxiv.org/abs/2103.06523v1
• [cs.IR]User-centered Evaluation of Popularity Bias in Recommender Systems
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward Malthouse
http://arxiv.org/abs/2103.06364v1
• [cs.IT]A Generalization of the Concavity of Rényi Entropy Powe
Laigang Guo, Chun-Ming Yuan, Xiao-Shan Gao
http://arxiv.org/abs/2103.06650v1
• [cs.IT]A New Metric on Symmetric Group and Application to Block Permutation Codes
Chaoping Xing, Zihan Zhang
http://arxiv.org/abs/2103.05204v3
• [cs.IT]Improved Coherence Index-Based Bound in Compressive Sensing
Ljubisa Stankovic, Milos Brajovic, Danilo Mandic, Isidora Stankovic, Milos Dakovic
http://arxiv.org/abs/2103.06804v1
• [cs.LG]A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks
Xiang Wang, Xiaoyong Li, Junxing Zhu, Zichen Xu, Kaijun Ren, Weiming Zhang, Xinwang Liu, Kui Yu
http://arxiv.org/abs/2103.06383v1
• [cs.LG]A Quadratic Actor Network for Model-Free Reinforcement Learning
Matthias Weissenbacher, Yoshinobu Kawahara
http://arxiv.org/abs/2103.06617v1
• [cs.LG]Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink
Ranjie Duan, Xiaofeng Mao, A. K. Qin, Yun Yang, Yuefeng Chen, Shaokai Ye, Yuan He
http://arxiv.org/abs/2103.06504v1
• [cs.LG]Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters
Trevor A. McInroe, Michael Spurrier, Jennifer Sieber, Stephen Conneely
http://arxiv.org/abs/2103.06398v1
• [cs.LG]BODAME: Bilevel Optimization for Defense Against Model Extraction
Yuto Mori, Atsushi Nitanda, Akiko Takeda
http://arxiv.org/abs/2103.06797v1
• [cs.LG]Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification
Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
http://arxiv.org/abs/2103.06624v1
• [cs.LG]Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning
Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li
http://arxiv.org/abs/2103.06544v1
• [cs.LG]Data Collection and Acceleration Infrastructure for FPGA-based Edge AI Applications
Hergys Rexha, Sebastien Lafond
http://arxiv.org/abs/2103.06518v1
• [cs.LG]Differentially Private Query Release Through Adaptive Projection
Sergul Aydore, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit Siva
http://arxiv.org/abs/2103.06641v1
• [cs.LG]Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation
Bingqing Xiang, Arpita Gang, Waheed U. Bajwa
http://arxiv.org/abs/2103.06406v1
• [cs.LG]Emerging Paradigms of Neural Network Pruning
Huan Wang, Can Qin, Yulun Zhang, Yun Fu
http://arxiv.org/abs/2103.06460v1
• [cs.LG]Fair Mixup: Fairness via Interpolation
Ching-Yao Chuang, Youssef Mroueh
http://arxiv.org/abs/2103.06503v1
• [cs.LG]For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash Functions
Nishanth Dikkala, Gal Kaplun, Rina Panigrahy
http://arxiv.org/abs/2103.06875v1
• [cs.LG]Generalizable Episodic Memory for Deep Reinforcement Learning
Hao Hu, Jianing Ye, Zhizhou Ren, Guangxiang Zhu, Chongjie Zhang
http://arxiv.org/abs/2103.06469v1
• [cs.LG]Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction
Alexandra Baier, Zeyd Boukhers, Steffen Staab
http://arxiv.org/abs/2103.06727v1
• [cs.LG]Implicit energy regularization of neural ordinary-differential-equation control
Lucas Böttcher, Nino Antulov-Fantulin, Thomas Asikis
http://arxiv.org/abs/2103.06525v1
• [cs.LG]Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning
Bernie Wang, Simon Xu, Kurt Keutzer, Yang Gao, Bichen Wu
http://arxiv.org/abs/2103.06386v1
• [cs.LG]Inference for Generative Capsule Models
Alfredo Nazabal, Christopher K. I. Williams
http://arxiv.org/abs/2103.06676v1
• [cs.LG]Intraclass clustering: an implicit learning ability that regularizes DNNs
Carbonnelle Simon, Christophe De Vleeschouwer
http://arxiv.org/abs/2103.06733v1
• [cs.LG]Learning with partially separable data
Aida Khozaei, Hadi Moradi, Reshad Hosseini
http://arxiv.org/abs/2103.06869v1
• [cs.LG]Multi-Task Federated Reinforcement Learning with Adversaries
Aqeel Anwar, Arijit Raychowdhury
http://arxiv.org/abs/2103.06473v1
• [cs.LG]Policy Search with Rare Significant Events: Choosing the Right Partner to Cooperate with
Paul Ecoffet, Nicolas Fontbonne, Jean-Baptiste André, Nicolas Bredeche
http://arxiv.org/abs/2103.06846v1
• [cs.LG]S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning
Samarth Sinha, Animesh Garg
http://arxiv.org/abs/2103.06326v1
• [cs.LG]Scaffold Embeddings: Learning the Structure Spanned by Chemical Fragments, Scaffolds and Compounds
Austin Clyde, Arvind Ramanathan, Rick Stevens
http://arxiv.org/abs/2103.06867v1
• [cs.LG]Should Graph Neural Networks Use Features, Edges, Or Both?
Lukas Faber, Yifan Lu, Roger Wattenhofer
http://arxiv.org/abs/2103.06857v1
• [cs.LG]Understanding the origin of information-seeking exploration in probabilistic objectives for control
Beren Millidge, Alexander Tschantz, Anil Seth, Christopher Buckley
http://arxiv.org/abs/2103.06859v1
• [cs.LG]Wasserstein Robust Support Vector Machines with Fairness Constraints
Yijie Wang, Viet Anh Nguyen, Grani A. Hanasusanto
http://arxiv.org/abs/2103.06828v1
• [cs.NE]An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization
Xinyu Shan, Ke Li
http://arxiv.org/abs/2103.06382v1
• [cs.NE]Multi-Objective Reinforcement Learning based Multi-Microgrid System Optimisation Problem
Jiangjiao Xu, Ke Li, Mohammad Abusara
http://arxiv.org/abs/2103.06380v1
• [cs.NE]Multi-objective discovery of PDE systems using evolutionary approach
Mikhail Maslyaev, Alexander Hvatov
http://arxiv.org/abs/2103.06739v1
• [cs.NE]Population-Based Evolution Optimizes a Meta-Learning Objective
Kevin Frans, Olaf Witkowski
http://arxiv.org/abs/2103.06435v1
• [cs.PL]Auto-COP: Adaptation Generation in Context-Oriented Programming using Reinforcement Learning Options
Nicolás Cardozo, Ivana Dusparic
http://arxiv.org/abs/2103.06757v1
• [cs.PL]Functional Collection Programming with Semi-Ring Dictionaries
Amir Shaikhha, Mathieu Huot, Jaclyn Smith, Dan Olteanu
http://arxiv.org/abs/2103.06376v1
• [cs.RO]Controlled Gaussian Process Dynamical Models with Application to Robotic Cloth Manipulation
Fabio Amadio, Juan Antonio Delgado-Guerrero, Adrià Colomé, Carme Torras
http://arxiv.org/abs/2103.06615v1
• [cs.RO]Dynamic Grasping with a “Soft” Drone: From Theory to Practice
Joshua Fishman, Samuel Ubellacker, Nathan Hughes, Luca Carlone
http://arxiv.org/abs/2103.06465v1
• [cs.RO]FAST-Dynamic-Vision: Detection and Tracking Dynamic Objects with Event and Depth Sensing
Botao He, Haojia Li, Siyuan Wu, Dong Wang, Zhiwei Zhang, Qianli Dong, Chao Xu, Fei Gao
http://arxiv.org/abs/2103.05903v2
• [cs.RO]Fast-Tracker 2.0: Improving Autonomy of Aerial Tracking with Active Vision and Human Location Regression
Neng Pan, Ruibin Zhang, Tiankai Yang, Chao Xu, Fei Gao
http://arxiv.org/abs/2103.06522v1
• [cs.RO]Have I been here before? Learning to Close the Loop with LiDAR Data in Graph-Based SLAM
Tim-Lukas Habich, Marvin Stuede, Mathieu Labbé, Svenja Spindeldreier
http://arxiv.org/abs/2103.06713v1
• [cs.RO]Hiding Leader’s Identity in Leader-Follower Navigation through Multi-Agent Reinforcement Learning
Ankur Deka, Wenhao Luo, Huao Li, Michael Lewis, Katia Sycara
http://arxiv.org/abs/2103.06359v1
• [cs.RO]Hierarchical Bayesian Model for the Transfer of Knowledge on Spatial Concepts based on Multimodal Information
Yoshinobu Hagiwara, Keishiro Taguchi, Satoshi Ishibushi, Akira Taniguchi, Tadahiro Taniguchi
http://arxiv.org/abs/2103.06442v1
• [cs.RO]Imitation learning for variable speed motion generation over multiple actions
Yuki Saigusa, Ayumu Sasagawa, Sho Sakaino, Toshiaki Tsuji
http://arxiv.org/abs/2103.06466v1
• [cs.RO]PANTHER: Perception-Aware Trajectory Planner in Dynamic Environments
Jesus Tordesillas, Jonathan P. How
http://arxiv.org/abs/2103.06372v1
• [cs.RO]Programming Robot Behaviors with Execution Management Functions
Martin Molina, Pablo Santamaria, Abraham Carrera
http://arxiv.org/abs/2103.06545v1
• [cs.RO]Robust High-speed Running for Quadruped Robots via Deep Reinforcement Learning
Guillaume Bellegarda, Quan Nguyen
http://arxiv.org/abs/2103.06484v1
• [cs.RO]Self-Supervised Motion Retargeting with Safety Guarantee
Sungjoon Choi, Min Jae Song, Hyemin Ahn, Joohyung Kim
http://arxiv.org/abs/2103.06447v1
• [cs.RO]Swarm Robots in Agriculture
Daniel Albiero, Angel Pontin Garcia, Claudio Kiyoshi Umezu, Rodrigo Leme de Paulo
http://arxiv.org/abs/2103.06732v1
• [cs.RO]Visibility-aware Trajectory Optimization with Application to Aerial Tracking
Qianhao Wang, Yuman Gao, Jialin Ji, Chao Xu, Fei Gao
http://arxiv.org/abs/2103.06742v1
• [cs.RO]Where is your place, Visual Place Recognition?
Sourav Garg, Tobias Fischer, Michael Milford
http://arxiv.org/abs/2103.06443v1
• [cs.SD]Multi-Format Contrastive Learning of Audio Representations
Luyu Wang, Aaron van den Oord
http://arxiv.org/abs/2103.06508v1
• [cs.SI]Firms’ Challenges and Social Responsibilities during Covid-19: a Twitter Analysis
Alessia Patuelli, Guido Caldarelli, Nicola Lattanzi, Fabio Saracco
http://arxiv.org/abs/2103.06705v1
• [econ.EM]Convergence of Computed Dynamic Models with Unbounded Shock
Kenichiro McAlinn, Kosaku Takanashi
http://arxiv.org/abs/2103.06483v1
• [eess.AS]BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation
Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino
http://arxiv.org/abs/2103.06695v1
• [eess.AS]Learning Word-Level Confidence For Subword End-to-End ASR
David Qiu, Qiujia Li, Yanzhang He, Yu Zhang, Bo Li, Liangliang Cao, Rohit Prabhavalkar, Deepti Bhatia, Wei Li, Ke Hu, Tara N. Sainath, Ian McGraw
http://arxiv.org/abs/2103.06716v1
• [eess.IV]A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data
Hans Liebl, David Schinz, Anjany Sekuboyina, Luca Malagutti, Maximilian T. Löffler, Amirhossein Bayat, Malek El Husseini, Giles Tetteh, Katharina Grau, Eva Niederreiter, Thomas Baum, Benedikt Wiestler, Bjoern Menze, Rickmer Braren, Claus Zimmer, Jan S. Kirschke
http://arxiv.org/abs/2103.06360v1
• [eess.IV]A learning-based view extrapolation method for axial super-resolution
Zhaolin Xiao, Jinglei Shi, Xiaoran Jiang, Christine Guillemot
http://arxiv.org/abs/2103.06510v1
• [eess.IV]An unsupervised deep learning framework for medical image denoising
Swati Rai, Jignesh S. Bhatt, S. K. Patra
http://arxiv.org/abs/2103.06575v1
• [eess.IV]Automated liver tissues delineation based on machine learning techniques: A survey, current trends and future orientations
Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua
http://arxiv.org/abs/2103.06384v1
• [eess.IV]Enhancing VMAF through New Feature Integration and Model Combination
Fan Zhang, Angeliki Katsenou, Christos Bampis, Lukas Krasula, Zhi Li, David Bull
http://arxiv.org/abs/2103.06338v1
• [eess.IV]Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations
Lina Zhuang, Jose M. Bioucas-Dias
http://arxiv.org/abs/2103.06842v1
• [eess.IV]SAR-U-Net: squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver CT segmentation
Jinke Wang, Peiqing Lv, Haiying Wang, Changfa Shi
http://arxiv.org/abs/2103.06419v1
• [eess.SP]Uncoordinated and Decentralized Processing in Extra-Large MIMO Arrays
Abolfazl Amiri, Carles Navarro Manch’on, Elisabeth de Carvalho
http://arxiv.org/abs/2103.06592v1
• [eess.SY]Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk
Joe Watson, Jan Peters
http://arxiv.org/abs/2103.06319v1
• [hep-ph]Bump Hunting in Latent Space
Blaž Bortolato, Barry M. Dillon, Jernej F. Kamenik, Aleks Smolkovič
http://arxiv.org/abs/2103.06595v1
• [math.NA]Linear-Mapping based Variational Ensemble Kalman Filter
Linjie Wen, Jinglai Li
http://arxiv.org/abs/2103.06315v1
• [math.ST]Causal inference with misspecified exposure mappings
Fredrik Sävje
http://arxiv.org/abs/2103.06471v1
• [math.ST]Dimension free convergence rates for Gibbs samplers for Bayesian linear mixed models
Zhumengmeng Jin, James P. Hobert
http://arxiv.org/abs/2103.06324v1
• [math.ST]Doubly robust confidence sequences for sequential causal inference
Ian Waudby-Smith, David Arbour, Ritwik Sinha, Edward H. Kennedy, Aaditya Ramdas
http://arxiv.org/abs/2103.06476v1
• [math.ST]Estimation of Conditional Mean Operator under the Bandable Covariance Structure
Kwangmin Lee, Kyoungjae Lee, Jaeyong Lee
http://arxiv.org/abs/2103.06420v1
• [math.ST]Overlap of OLS Regression and Principal Loading Analysis
J. O. Bauer, B. Drabant
http://arxiv.org/abs/2103.06691v1
• [math.ST]Parameter estimation in diffusion models with low regularity coefficients
Dmytro Ivanenko, Rostyslav Pogorielov
http://arxiv.org/abs/2103.06323v1
• [physics.ao-ph]Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multiple Data Sources
Guannan Geng, Qingyang Xiao, Shigan Liu, Xiaodong Liu, Jing Cheng, Yixuan Zheng, Dan Tong, Bo Zheng, Yiran Peng, Xiaomeng Huang, Kebin He, Qiang Zhang
http://arxiv.org/abs/2103.06520v1
• [physics.flu-dyn]Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids
Xu-Hui Zhou, Jiequn Han, Heng Xiao
http://arxiv.org/abs/2103.06685v1
• [physics.flu-dyn]Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion
Wai Tong Chung, Aashwin Ananda Mishra, Matthias Ihme
http://arxiv.org/abs/2103.06397v1
• [quant-ph]A semi-agnostic ansatz with variable structure for quantum machine learning
M. Bilkis, M. Cerezo, Guillaume Verdon, Patrick J. Coles, Lukasz Cincio
http://arxiv.org/abs/2103.06712v1
• [quant-ph]Tensor networks and efficient descriptions of classical data
Sirui Lu, Márton Kanász-Nagy, Ivan Kukuljan, J. Ignacio Cirac
http://arxiv.org/abs/2103.06872v1
• [quant-ph]Variational inference with a quantum computer
Marcello Benedetti, Brian Coyle, Mattia Fiorentini, Michael Lubasch, Matthias Rosenkranz
http://arxiv.org/abs/2103.06720v1
• [stat.AP]COVID-19: Optimal Allocation of Ventilator Supply under Uncertainty and Risk
Xuecheng Yin, I. Esra Buyuktahtakin, Bhumi P. Patel
http://arxiv.org/abs/2103.06813v1
• [stat.AP]Meta-analysis of dichotomous and polytomous diagnostic tests without a gold standard
Enzo Cerullo, Hayley E. Jones, Terry J. Quinn, Nicola J. Cooper, Alex J. Sutton
http://arxiv.org/abs/2103.06858v1
• [stat.ME]A fusion learning method to subgroup analysis for longitudinal trajectories
Mingming Liu, Jing Yang, Yushi Liu, Bochao Jia, Yun-Fei Chen, Luna Sun, Shujie Ma
http://arxiv.org/abs/2103.06363v1
• [stat.ME]BaySize: Bayesian Sample Size Planning for Phase I Dose-Finding Trials
Xiaolei Lin, Jiaying Lyu, Shijie Yuan, Sue-Jane Wang, Yuan Ji
http://arxiv.org/abs/2103.06421v1
• [stat.ME]Design and Analysis of Bipartite Experiments under a Linear Exposure-Response Model
Christopher Harshaw, David Eisenstat, Vahab Mirrokni, Jean Pouget-Abadie
http://arxiv.org/abs/2103.06392v1
• [stat.ME]Factorized Binary Search: change point detection in the network structure of multivariate high-dimensional time series
Martin Ondrus, Emily Olds, Ivor Cribben
http://arxiv.org/abs/2103.06347v1
• [stat.ME]Likelihood-based missing data analysis in multivariate crossover trials
Savita Pareek, Kalyan Das, Siuli Mukhopadhyay
http://arxiv.org/abs/2103.06567v1
• [stat.ME]Multivariate Functional Additive Mixed Models
Alexander Volkmann, Almond Stöcker, Fabian Scheipl, Sonja Greven
http://arxiv.org/abs/2103.06606v1
• [stat.ME]PoD-BIN: A Probability of Decision Bayesian Interval Design for Time-to-Event Dose-Finding Trials with Multiple Toxicity Grades
Meizi Liu, Yuan Ji, Ji Lin
http://arxiv.org/abs/2103.06368v1
• [stat.ME]Profiling Compliers in Instrumental Variables Designs
Dominik Hangartner, Moritz Marbach, Leonard Henckel, Marloes H. Maathuis, Rachel R. Kelz, Luke Keele
http://arxiv.org/abs/2103.06328v1
• [stat.ME]Simultaneous comparisons of treatments versus control (Dunnett-type tests) for location-scale alternatives
Ludwig A. Hothorn
http://arxiv.org/abs/2103.06585v1
• [stat.ML]A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets
Fabio S. Ferreira, Agoston Mihalik, Rick A. Adams, John Ashburner, Janaina Mourao-Miranda
http://arxiv.org/abs/2103.06845v1
• [stat.ML]Covariate-assisted Sparse Tensor Completion
Hilda S Ibriga, Will Wei Sun
http://arxiv.org/abs/2103.06428v1
• [stat.ML]On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks
Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh
http://arxiv.org/abs/2103.06671v1
若有收获，就点个赞吧
0 人点赞
