cond-mat.mtrl-sci - 材料科学
cs.AI - 人工智能
cs.CG - 计算几何学
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.GR - 计算机图形学
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.LO - 计算逻辑
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SY - 系统和控制
math.OC - 优化与控制
math.ST - 统计理论
physics.soc-ph - 物理学与社会
quant-ph - 量子物理
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cond-mat.mtrl-sci]Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations
• [cs.AI]A New Score for Adaptive Tests in Bayesian and Credal Networks
• [cs.AI]Composition and Application of Current Advanced Driving Assistance System: A Review
• [cs.AI]Explaining Ridesharing: Selection of Explanations for Increasing User Satisfaction
• [cs.AI]Finding optimal strategies in sequential games with the novel selection monad
• [cs.AI]From Motor Control to Team Play in Simulated Humanoid Football
• [cs.AI]Incomplete MaxSAT Approaches for Combinatorial Testing
• [cs.AI]NNCFR: Minimize Counterfactual Regret with Neural Networks
• [cs.AI]What will they do? Modelling self-evacuation archetypes
• [cs.CG]A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces
• [cs.CL]Automatic Construction of Sememe Knowledge Bases via Dictionaries
• [cs.CL]Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
• [cs.CL]Context-Sensitive Visualization of Deep Learning Natural Language Processing Models
• [cs.CL]Deception detection in text and its relation to the cultural dimension of individualism/collectivism
• [cs.CL]Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger
• [cs.CL]Impact of detecting clinical trial elements in exploration of COVID-19 literature
• [cs.CL]IntelliCAT: Intelligent Machine Translation Post-Editing with Quality Estimation and Translation Suggestion
• [cs.CL]Joint Optimization of Tokenization and Downstream Model
• [cs.CL]LMMS Reloaded: Transformer-based Sense Embeddings for Disambiguation and Beyond
• [cs.CL]Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization
• [cs.CL]Multitask Learning for Grapheme-to-Phoneme Conversion of Anglicisms in German Speech Recognition
• [cs.CL]Neural Morphology Dataset and Models for Multiple Languages, from the Large to the Endangered
• [cs.CL]NukeLM: Pre-Trained and Fine-Tuned Language Models for the Nuclear and Energy Domains
• [cs.CL]Prosodic segmentation for parsing spoken dialogue
• [cs.CL]Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking
• [cs.CL]SGPT: Semantic Graphs based Pre-training for Aspect-based Sentiment Analysis
• [cs.CL]SentEmojiBot: Empathising Conversations Generation with Emojis
• [cs.CL]The advent and fall of a vocabulary learning bias from communicative efficiency
• [cs.CL]The statistical advantage of automatic NLG metrics at the system level
• [cs.CL]Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction
• [cs.CL]Word Embedding Transformation for Robust Unsupervised Bilingual Lexicon Induction
• [cs.CL]Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics
• [cs.CR]Data Security on Mobile Devices: Current State of the Art, Open Problems, and Proposed Solutions
• [cs.CR]Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services
• [cs.CR]Security in Next Generation Mobile Payment Systems: A Comprehensive Survey
• [cs.CV]Aggregating Nested Transformers
• [cs.CV]Anticipating human actions by correlating past with the future with Jaccard similarity measures
• [cs.CV]AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression
• [cs.CV]Context-aware Cross-level Fusion Network for Camouflaged Object Detection
• [cs.CV]Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey
• [cs.CV]Detecting Biological Locomotion in Video: A Computational Approach
• [cs.CV]Disentangled Face Attribute Editing via Instance-Aware Latent Space Search
• [cs.CV]Edge Detection for Satellite Images without Deep Networks
• [cs.CV]Enhance to Read Better: An Improved Generative Adversarial Network for Handwritten Document Image Enhancement
• [cs.CV]FINNger — Applying artificial intelligence to ease math learning for children
• [cs.CV]How to Calibrate Your Event Camera
• [cs.CV]Improving Sign Language Translation with Monolingual Data by Sign Back-Translation
• [cs.CV]KLIEP-based Density Ratio Estimation for Semantically Consistent Synthetic to Real Images Adaptation in Urban Traffic Scenes
• [cs.CV]Learning to Detect Fortified Areas
• [cs.CV]Low Resolution Information Also Matters: Learning Multi-Resolution Representations for Person Re-Identification
• [cs.CV]Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification
• [cs.CV]Occlusion Aware Kernel Correlation Filter Tracker using RGB-D
• [cs.CV]PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal
• [cs.CV]Pattern Detection in the Activation Space for Identifying Synthesized Content
• [cs.CV]Performance Analysis of a Foreground Segmentation Neural Network Model
• [cs.CV]Predicting invasive ductal carcinoma using a Reinforcement Sample Learning Strategy using Deep Learning
• [cs.CV]Recent Standard Development Activities on Video Coding for Machines
• [cs.CV]SB-GCN: Structured BREP Graph Convolutional Network for Automatic Mating of CAD Assemblies
• [cs.CV]Self-Guided Instance-Aware Network for Depth Completion and Enhancement
• [cs.CV]Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning
• [cs.CV]Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios
• [cs.CV]Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving
• [cs.CV]Style Similarity as Feedback for Product Design
• [cs.CV]Unsupervised Part Segmentation through Disentangling Appearance and Shape
• [cs.CV]Unsupervised Video Summarization via Multi-source Features
• [cs.CY]Blockchain-Based Approach to Foster Student Engagement on Campus
• [cs.CY]The Evaluation Case Study of Online Course During Pandemic Period in Mongolia
• [cs.DB]Database Workload Characterization with Query Plan Encoders
• [cs.DC]Contention Resolution with Predictions
• [cs.DC]Smoothed Analysis of Population Protocols
• [cs.DC]kEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos
• [cs.GR]Neural Radiosity
• [cs.HC]POD: A Smartphone That Flies
• [cs.IR]OntoED: Low-resource Event Detection with Ontology Embedding
• [cs.IR]Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data?
• [cs.IR]Quotient Space-Based Keyword Retrieval in Sponsored Search
• [cs.IT]Cyclic subspace codes via the sum of Sidon spaces
• [cs.IT]Improved Quantum Codes from Metacirculant Graphs via Self-Dual Additive -Codes
• [cs.IT]On Secrecy Performance of Mixed α-η-μ and Malaga RF-FSO Variable Gain Relaying Channel
• [cs.IT]Path-Aware OMP Algorithms for Provenance Recovery in Vehicular Networks
• [cs.IT]Topological Pilot Assignment in Large-Scale Distributed MIMO Networks
• [cs.IT]Two-to-one mappings and involutions without fixed points over
• [cs.IT]User Grouping and Reflective Beamforming for IRS-Aided URLLC
• [cs.LG]Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge
• [cs.LG]Adversarial robustness against multiple -threat models at the price of one and how to quickly fine-tune robust models to another threat model
• [cs.LG]Basic and Depression Specific Emotion Identification in Tweets: Multi-label Classification Experiments
• [cs.LG]Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence
• [cs.LG]Bias in Machine Learning Software: Why? How? What to do?
• [cs.LG]Blurs Make Results Clearer: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness
• [cs.LG]Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling
• [cs.LG]Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks
• [cs.LG]Deep Repulsive Prototypes for Adversarial Robustness
• [cs.LG]Density estimation: an inflation-deflation approach
• [cs.LG]Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI
• [cs.LG]Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities
• [cs.LG]Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity
• [cs.LG]Exploring dual information in distance metric learning for clustering
• [cs.LG]Finite-Sample Analysis of Off-Policy Natural Actor-Critic with Linear Function Approximation
• [cs.LG]Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
• [cs.LG]Graph Self Supervised Learning: the BT, the HSIC, and the VICReg
• [cs.LG]Intriguing Parameters of Structural Causal Models
• [cs.LG]Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale
• [cs.LG]Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs
• [cs.LG]Out-of-Vocabulary Entities in Link Prediction
• [cs.LG]Practical Convex Formulation of Robust One-hidden-layer Neural Network Training
• [cs.LG]Predict then Interpolate: A Simple Algorithm to Learn Stable Classifie
5000
rs
• [cs.LG]Provable Representation Learning for Imitation with Contrastive Fourier Features
• [cs.LG]Robust Value Iteration for Continuous Control Tasks
• [cs.LG]Scaling Properties of Deep Residual Networks
• [cs.LG]Submodular Kernels for Efficient Rankings
• [cs.LG]Successive Convex Approximation Based Off-Policy Optimization for Constrained Reinforcement Learning
• [cs.LG]The Nonlinearity Coefficient — A Practical Guide to Neural Architecture Design
• [cs.LG]Towards an IMU-based Pen Online Handwriting Recognizer
• [cs.LG]TreeBERT: A Tree-Based Pre-Trained Model for Programming Language
• [cs.LG]Using the Overlapping Score to Improve Corruption Benchmarks
• [cs.LO]Runtime Monitoring for Markov Decision Processes
• [cs.NE]Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem
• [cs.NI]Towards Million-Server Network Simulations on Just a Laptop
• [cs.RO]Avoiding Dense and Dynamic Obstacles in Enclosed Spaces: Application to Moving in a Simulated Crowd
• [cs.RO]Collision Recovery Control of a Foldable Quadrotor
• [cs.RO]Comparison of Dynamic and Kinematic Model Driven Extended Kalman Filters (EKF) for the Localization of Autonomous Underwater Vehicles
• [cs.RO]DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting
• [cs.RO]Epistemic Uncertainty Aware Semantic Localization and Mapping for Inference and Belief Space Planning
• [cs.RO]Interpretable UAV Collision Avoidance using Deep Reinforcement Learning
• [cs.RO]Learning Bipedal Robot Locomotion from Human Movement
• [cs.RO]On the Advantages of Multiple Stereo Vision Camera Designs for Autonomous Drone Navigation
• [cs.RO]Range Image-based LiDAR Localization for Autonomous Vehicles
• [cs.RO]Self-Calibration of the Offset Between GPS and Semantic Map Frames for Robust Localization
• [cs.RO]SimNet: Learning Reactive Self-driving Simulations from Real-world Observations
• [cs.RO]Smile Like You Mean It: Driving Animatronic Robotic Face with Learned Models
• [cs.RO]What data do we need for training an AV motion planner?
• [cs.SD]Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural Networks
• [cs.SI]A Comprehensive Survey on Community Detection with Deep Learning
• [cs.SI]Acquisition and analysis of crowd-sourced traffic data
• [cs.SI]Climate Action During COVID-19 Recovery and Beyond: A Twitter Text Mining Study
• [cs.SI]Convergence criteria for sampling random graphs with specified degree sequences
• [cs.SI]It is rotating leaders who build the swarm: social network determinants of growth for healthcare virtual communities of practice
• [cs.SI]Local, global and scale-dependent node roles
• [cs.SI]Measuring information exchange and brokerage capacity of healthcare teams
• [cs.SI]What makes you popular: beauty, personality or intelligence?
• [cs.SI]World War III Analysis using Signed Social Networks
• [econ.EM]A structural model of business cards exchange networks
• [eess.AS]Training Speech Enhancement Systems with Noisy Speech Datasets
• [eess.IV]CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network
• [eess.IV]Permutation invariance and uncertainty in multitemporal image super-resolution
• [eess.IV]Towards Transparent Application of Machine Learning in Video Processing
• [eess.IV]Weighing Features of Lung and Heart Regions for Thoracic Disease Classification
• [eess.SY]Safe Value Functions
• [math.OC]A data-driven approach to beating SAA out-of-sample
• [math.OC]A risk analysis framework for real-time control systems
• [math.OC]Certainty Equivalent Quadratic Control for Markov Jump Systems
• [math.OC]Distributed Zeroth-Order Stochastic Optimization in Time-varying Networks
• [math.OC]Saddle Point Optimization with Approximate Minimization Oracle and its Application to Robust Berthing Control
• [math.ST]Consistency of Privacy-Preserving Spectral Clustering under the Stochastic Block Model
• [physics.soc-ph]Entropy and complexity unveil the landscape of memes evolution
• [quant-ph]Automatic design of quantum feature maps
• [quant-ph]Compressed Sensing Measurement of Long-Range Correlated Noise
• [quant-ph]Lee Weight for Nonbinary Quantum Error Correction
• [stat.CO]Cauchy Markov Random Field Priors for Bayesian Inversion
• [stat.ME]A non-parametric test for testing independence between time to failure and cause of failure of discrete competing risks data
• [stat.ME]An algorithm-based multiple detection influence measure for high dimensional regression using expectile
• [stat.ME]Estimation of Optimal Dynamic Treatment Regimes via Gaussian Process Emulation: A Technical Report
• [stat.ME]Marginal structural models with Latent Class Growth Modeling of Treatment Trajectories
• [stat.ME]Reciprocal first-order second-moment method
• [stat.ML]Block Dense Weighted Networks with Augmented Degree Correction
• [stat.ML]Rank-one matrix estimation: analytic time evolution of gradient descent dynamics
• [stat.ML]SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
• [stat.ML]The “given data” paradigm undermines both cultures
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• [cond-mat.mtrl-sci]Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations
Gihan Panapitiya, Michael Girard, Aaron Hollas, Vijay Murugesan, Wei Wang, Emily Saldanha
http://arxiv.org/abs/2105.12638v1
• [cs.AI]A New Score for Adaptive Tests in Bayesian and Credal Networks
Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni
http://arxiv.org/abs/2105.12205v1
• [cs.AI]Composition and Application of Current Advanced Driving Assistance System: A Review
Xinran Li, Kuo-Yi Lin, Min Meng, Xiuxian Li, Li Li, Yiguang Hong
http://arxiv.org/abs/2105.12348v1
• [cs.AI]Explaining Ridesharing: Selection of Explanations for Increasing User Satisfaction
David Zar, Noam Hazon, Amos Azaria
http://arxiv.org/abs/2105.12500v1
• [cs.AI]Finding optimal strategies in sequential games with the novel selection monad
Johannes Hartmann
http://arxiv.org/abs/2105.12514v1
• [cs.AI]From Motor Control to Team Play in Simulated Humanoid Football
Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess
http://arxiv.org/abs/2105.12196v1
• [cs.AI]Incomplete MaxSAT Approaches for Combinatorial Testing
Carlos Ansótegui, Felip Manyà, Jesus Ojeda, Josep M. Salvia, Eduard Torres
http://arxiv.org/abs/2105.12552v1
• [cs.AI]NNCFR: Minimize Counterfactual Regret with Neural Networks
Huale Li, Xuan Wang, Zengyue Guo, Jiajia Zhang, Shuhan Qi
http://arxiv.org/abs/2105.12328v1
• [cs.AI]What will they do? Modelling self-evacuation archetypes
Dhirendra Singh, Ken Strahan, Jim McLennan, Joel Robertson, Bhagya Wickramasinghe
http://arxiv.org/abs/2105.12366v1
• [cs.CG]A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces
Yu Qin, Brittany Terese Fasy, Carola Wenk, Brian Summa
http://arxiv.org/abs/2105.12208v1
• [cs.CL]Automatic Construction of Sememe Knowledge Bases via Dictionaries
Fanchao Qi, Yangyi Chen, Fengyu Wang, Zhiyuan Liu, Xiao Chen, Maosong Sun
http://arxiv.org/abs/2105.12585v1
• [cs.CL]Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu, Jie Zhou
http://arxiv.org/abs/2105.12523v1
• [cs.CL]Context-Sensitive Visualization of Deep Learning Natural Language Processing Models
Andrew Dunn, Diana Inkpen, Răzvan Andonie
http://arxiv.org/abs/2105.12202v1
• [cs.CL]Deception detection in text and its relation to the cultural dimension of individualism/collectivism
Katerina Papantoniou, Panagiotis Papadakos, Theodore Patkos, Giorgos Flouris, Ion Androutsopoulos, Dimitris Plexousakis
http://arxiv.org/abs/2105.12530v1
• [cs.CL]Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger
Fanchao Qi, Mukai Li, Yangyi Chen, Zhengyan Zhang, Zhiyuan Liu, Yasheng Wang, Maosong Sun
http://arxiv.org/abs/2105.12400v1
• [cs.CL]Impact of detecting clinical trial elements in exploration of COVID-19 literature
Simon Šuster, Karin Verspoor, Timothy Baldwin, Jey Han Lau, Antonio Jimeno Yepes, David Martinez, Yulia Otmakhova
http://arxiv.org/abs/2105.12261v1
• [cs.CL]IntelliCAT: Intelligent Machine Translation Post-Editing with Quality Estimation and Translation Suggestion
Dongjun Lee, Junhyeong Ahn, Heesoo Park, Jaemin Jo
http://arxiv.org/abs/2105.12172v1
• [cs.CL]Joint Optimization of Tokenization and Downstream Model
Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki
http://arxiv.org/abs/2105.12410v1
• [cs.CL]LMMS Reloaded: Transformer-based Sense Embeddings for Disambiguation and Beyond
Daniel Loureiro, Alípio Mário Jorge, Jose Camacho-Collados
http://arxiv.org/abs/2105.12449v1
• [cs.CL]Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization
Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu
http://arxiv.org/abs/2105.12544v1
• [cs.CL]Multitask Learning for Grapheme-to-Phoneme Conversion of Anglicisms in German Speech Recognition
Julia Pritzen, Michael Gref, Christoph Schmidt, Dietlind Zühlke
http://arxiv.org/abs/2105.12708v1
• [cs.CL]Neural Morphology Dataset and Models for Multiple Languages, from the Large to the Endangered
Mika Hämäläinen, Niko Partanen, Jack Rueter, Khalid Alnajjar
http://arxiv.org/abs/2105.12428v1
• [cs.CL]NukeLM: Pre-Trained and Fine-Tuned Language Models for the Nuclear and Energy Domains
Lee Burke, Karl Pazdernik, Daniel Fortin, Benjamin Wilson, Rustam Goychayev, John Mattingly
http://arxiv.org/abs/2105.12192v1
• [cs.CL]Prosodic segmentation for parsing spoken dialogue
Elizabeth Nielsen, Mark Steedman, Sharon Goldwater
http://arxiv.org/abs/2105.12667v1
• [cs.CL]Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking
Heng-Da Xu, Zhongli Li, Qingyu Zhou, Chao Li, Zizhen Wang, Yunbo Cao, Heyan Huang, Xian-Ling Mao
http://arxiv.org/abs/2105.12306v1
• [cs.CL]SGPT: Semantic Graphs based Pre-training for Aspect-based Sentiment Analysis
Yong Qian, Zhongqing Wang, Rong Xiao, Chen Chen, Haihong Tang
http://arxiv.org/abs/2105.12305v1
• [cs.CL]SentEmojiBot: Empathising Conversations Generation with Emojis
Akhilesh Ravi, Amit Yadav, Jainish Chauhan, Jatin Dholakia, Naman Jain, Mayank Singh
http://arxiv.org/abs/2105.12399v1
• [cs.CL]The advent and fall of a vocabulary learning bias from communicative efficiency
David Carrera-Casado, Ramon Ferrer-i-Cancho
http://arxiv.org/abs/2105.11519v2
• [cs.CL]The statistical advantage of automatic NLG metrics at the system level
Johnny Tian-Zheng Wei, Robin Jia
http://arxiv.org/abs/2105.12437v1
• [cs.CL]Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction
Ming Shen, Pratyay Banerjee, Chitta Baral
http://arxiv.org/abs/2105.12392v1
• [cs.CL]Word Embedding Transformation for Robust Unsupervised Bilingual Lexicon Induction
Hailong Cao, Tiejun Zhao
http://arxiv.org/abs/2105.12297v1
• [cs.CL]Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics
Luyang Kong, Christopher Winestock, Parminder Bhatia
http://arxiv.org/abs/2105.12682v1
• [cs.CR]Data Security on Mobile Devices: Current State of the Art, Open Problems, and Proposed Solutions
Maximilian Zinkus, Tushar M. Jois, Matthew Green
http://arxiv.org/abs/2105.12613v1
• [cs.CR]Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services
Jinyu Tian, Jiantao Zhou, Jia Duan
http://arxiv.org/abs/2105.12344v1
• [cs.CR]Security in Next Generation Mobile Payment Systems: A Comprehensive Survey
Waqas Ahmed, Amir Rasool, Jamel Nebhen, Neeraj Kumar, Faisal Shahzad, Abdul RehmanJaved, Thippa Reddy Gadekallu, Zunera Jalil
http://arxiv.org/abs/2105.12097v1
• [cs.CV]Aggregating Nested Transformers
Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Tomas Pfister
http://arxiv.org/abs/2105.12723v1
• [cs.CV]Anticipating human actions by correlating past with the future with Jaccard similarity measures
Basura Fernando, Samitha Herath
http://arxiv.org/abs/2105.12414v1
• [cs.CV]AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression
Baozhou Zhu, Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Alars
http://arxiv.org/abs/2105.12151v1
• [cs.CV]Context-aware Cross-level Fusion Network for Camouflaged Object Detection
Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu
http://arxiv.org/abs/2105.12555v1
• [cs.CV]Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey
Feifei Shao, Long Chen, Jian Shao, Wei Ji, Shaoning Xiao, Lu Ye, Yueting Zhuang, Jun Xiao
http://arxiv.org/abs/2105.12694v1
• [cs.CV]Detecting Biological Locomotion in Video: A Computational Approach
Soo Min Kang, Richard P. Wildes
http://arxiv.org/abs/2105.12661v1
• [cs.CV]Disentangled Face Attribute Editing via Instance-Aware Latent Space Search
Yuxuan Han, Jiaolong Yang, Ying Fu
http://arxiv.org/abs/2105.12660v1
• [cs.CV]Edge Detection for Satellite Images without Deep Networks
Joshua Abraham, Calden Wloka
http://arxiv.org/abs/2105.12633v1
• [cs.CV]Enhance to Read Better: An Improved Generative Adversarial Network for Handwritten Document Image Enhancement
Sana Khamekhem Jemni, Mohamed Ali Souibgui, Yousri Kessentini, Alicia Fornés
http://arxiv.org/abs/2105.12710v1
• [cs.CV]FINNger — Applying artificial intelligence to ease math learning for children
Rafael Baldasso Audibert, Vinicius Marinho Maschio
http://arxiv.org/abs/2105.12281v1
• [cs.CV]How to Calibrate Your Event Camera
Manasi Muglikar, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza
http://arxiv.org/abs/2105.12362v1
• [cs.CV]Improving Sign Language Translation with Monolingual Data by Sign Back-Translation
Hao Zhou, Wengang Zhou, Weizhen Qi, Junfu Pu, Houqiang Li
http://arxiv.org/abs/2105.12397v1
• [cs.CV]KLIEP-based Density Ratio Estimation for Semantically Consistent Synthetic to Real Images Adaptation in Urban Traffic Scenes
Artem Savkin, Federico Tombari
http://arxiv.org/abs/2105.12549v1
• [cs.CV]Learning to Detect Fortified Areas
Allan Grønlund, Jonas Tranberg
http://arxiv.org/abs/2105.12385v1
• [cs.CV]Low Resolution Information Also Matters: Learning Multi-Resolution Representations for Person Re-Identification
Guoqing Zhang, Yuhao Chen, Weisi Lin, Arun Chandran, Xuan Jing
http://arxiv.org/abs/2105.12684v1
• [cs.CV]Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification
Shijie Yu, Feng Zhu, Dapeng Chen, Rui Zhao, Haobin Chen, Shixiang Tang, Jinguo Zhu, Yu Qiao
http://arxiv.org/abs/2105.12355v1
• [cs.CV]Occlusion Aware Kernel Correlation Filter Tracker using RGB-D
Srishti Yadav
http://arxiv.org/abs/2105.12161v1
• [cs.CV]PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal
Si Liu, Wentao Jiang, Chen Gao, Ran He, Jiashi Feng, Bo Li, Shuicheng Yan
http://arxiv.org/abs/2105.12324v1
• [cs.CV]Pattern Detection in the Activation Space for Identifying Synthesized Content
Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam
http://arxiv.org/abs/2105.12479v1
• [cs.CV]Performance Analysis of a Foreground Segmentation Neural Network Model
Joel Tomás Morais, António Ramires Fernandes, André Leite Ferreira, Bruno Faria
http://arxiv.org/abs/2105.12311v1
• [cs.CV]Predicting invasive ductal carcinoma using a Reinforcement Sample Learning Strategy using Deep Learning
Rushabh Patel
http://arxiv.org/abs/2105.12564v1
• [cs.CV]Recent Standard Development Activities on Video Coding for Machines
Wen Gao, Shan Liu, Xiaozhong Xu, Manouchehr Rafie, Yuan Zhang, Igor Curcio
http://arxiv.org/abs/2105.12653v1
• [cs.CV]SB-GCN: Structured BREP Graph Convolutional Network for Automatic Mating of CAD Assemblies
Benjamin Jones, Dalton Hildreth, Duowen Chen, Ilya Baran, Vova Kim, Adriana Schulz
http://arxiv.org/abs/2105.12238v1
• [cs.CV]Self-Guided Instance-Aware Network for Depth Completion and Enhancement
Zhongzhen Luo, Fengjia Zhang, Guoyi Fu, Jiajie Xu
http://arxiv.org/abs/2105.12186v1
• [cs.CV]Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning
Pak-Hei Yeung, Ana I. L. Namburete, Weidi Xie
http://arxiv.org/abs/2105.12722v1
• [cs.CV]Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios
Chi Zhang, Christian Berger, Marco Dozza
http://arxiv.org/abs/2105.12436v1
• [cs.CV]Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving
Kinjal Dasgupta, Arindam Das, Sudip Das, Ujjwal Bhattacharya, Senthil Yogamani
http://arxiv.org/abs/2105.12713v1
• [cs.CV]Style Similarity as Feedback for Product Design
Mathew Schwartz, Tomer Weiss, Esra Ataer-Cansizoglu, Jae-Woo Choi
http://arxiv.org/abs/2105.12256v1
• [cs.CV]Unsupervised Part Segmentation through Disentangling Appearance and Shape
Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, Jun Zhu
http://arxiv.org/abs/2105.12405v1
• [cs.CV]Unsupervised Video Summarization via Multi-source Features
Hussain Kanafani, Junaid Ahmed Ghauri, Sherzod Hakimov, Ralph Ewerth
http://arxiv.org/abs/2105.12532v1
• [cs.CY]Blockchain-Based Approach to Foster Student Engagement on Campus
Ritu Gala, Eshita Shukla, Nidhee Kamble, Revathi Vijayaraghavan, Dhiren Patel
http://arxiv.org/abs/2105.12504v1
• [cs.CY]The Evaluation Case Study of Online Course During Pandemic Period in Mongolia
Uranchimeg Tudevdagva, Bazarragchaa Sodnom, Selenge Erdenechimeg
http://arxiv.org/abs/2105.12429v1
• [cs.DB]Database Workload Characterization with Query Plan Encoders
Debjyoti Paul, Jie Cao, Feifei Li, Vivek Srikumar
http://arxiv.org/abs/2105.12287v1
• [cs.DC]Contention Resolution with Predictions
Seth Gilbert, Calvin Newport, Nitin Vaidya, Alex Weaver
http://arxiv.org/abs/2105.12706v1
• [cs.DC]Smoothed Analysis of Population Protocols
Gregory Schwartzman, Yuichi Sudo
http://arxiv.org/abs/2105.12262v1
• [cs.DC]kEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos
Keichi Takahashi, Wassapon Watanakeesuntorn, Kohei Ichikawa, Joseph Park, Ryousei Takano, Jason Haga, George Sugihara, Gerald M. Pao
http://arxiv.org/abs/2105.12301v1
• [cs.GR]Neural Radiosity
Saeed Hadadan, Shuhong Chen, Matthias Zwicker
http://arxiv.org/abs/2105.12319v1
• [cs.HC]POD: A Smartphone That Flies
Guojun Chen, Noah Weiner, Lin Zhong
http://arxiv.org/abs/2105.12610v1
• [cs.IR]OntoED: Low-resource Event Detection with Ontology Embedding
Shumin Deng, Ningyu Zhang, Luoqiu Li, Hui Chen, Huaixiao Tou, Mosha Chen, Fei Huang, Huajun Chen
http://arxiv.org/abs/2105.10922v2
• [cs.IR]Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data?
Ryoma Sato
http://arxiv.org/abs/2105.12353v1
• [cs.IR]Quotient Space-Based Keyword Retrieval in Sponsored Search
Yijiang Lian, Shuang Li, Chaobing Feng, YanFeng Zhu
http://arxiv.org/abs/2105.12371v1
• [cs.IT]Cyclic subspace codes via the sum of Sidon spaces
Yun Li, Hongwei Liu
http://arxiv.org/abs/2105.12520v1
• [cs.IT]Improved Quantum Codes from Metacirculant Graphs via Self-Dual Additive -Codes
Padmapani Seneviratne, Martianus Frederic Ezerman
http://arxiv.org/abs/2105.12685v1
• [cs.IT]On Secrecy Performance of Mixed α-η-μ and Malaga RF-FSO Variable Gain Relaying Channel
Nandita Swanan Mandira, Milton Kumar Kundu, Sheikh Habibul Islam, A. S. M. Badrudduza, Imran Shafique Ansari
http://arxiv.org/abs/2105.12265v1
• [cs.IT]Path-Aware OMP Algorithms for Provenance Recovery in Vehicular Networks
Shilpi Mishra, J. Harshan, Ranjitha Prasad
http://arxiv.org/abs/2105.12456v1
• [cs.IT]Topological Pilot Assignment in Large-Scale Distributed MIMO Networks
Han Yu, Xinping Yi, Giuseppe Caire
http://arxiv.org/abs/2105.12645v1
• [cs.IT]Two-to-one mappings and involutions without fixed points over
Mu Yuan, Dabin Zheng, Yanping Wang
http://arxiv.org/abs/2105.11323v2
• [cs.IT]User Grouping and Reflective Beamforming for IRS-Aided URLLC
Hailiang Xie, Jie Xu, Ya-Feng Liu, Liang Liu, Derrick Wing Kwan Ng
http://arxiv.org/abs/2105.12360v1
• [cs.LG]Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang
http://arxiv.org/abs/2105.12419v1
• [cs.LG]Adversarial robustness against multiple -threat models at the price of one and how to quickly fine-tune robust models to another threat model
Francesco Croce, Matthias Hein
http://arxiv.org/abs/2105.12508v1
• [cs.LG]Basic and Depression Specific Emotion Identification in Tweets: Multi-label Classification Experiments
Nawshad Farruque, Chenyang Huang, Osmar Zaiane, Randy Goebel
http://arxiv.org/abs/2105.12364v1
• [cs.LG]Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence
Po-Kan Shih
http://arxiv.org/abs/2105.12249v1
• [cs.LG]Bias in Machine Learning Software: Why? How? What to do?
Joymallya Chakraborty, Suvodeep Majumder, Tim Menzies
http://arxiv.org/abs/2105.12195v1
• [cs.LG]Blurs Make Results Clearer: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness
Namuk Park, Songkuk Kim
http://arxiv.org/abs/2105.12639v1
• [cs.LG]Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling
Akis Linardos, Matthias Kümmerer, Ori Press, Matthias Bethge
http://arxiv.org/abs/2105.12441v1
• [cs.LG]Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks
Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique
http://arxiv.org/abs/2105.12374v1
• [cs.LG]Deep Repulsive Prototypes for Adversarial Robustness
Alex Serban, Erik Poll, Joost Visser
http://arxiv.org/abs/2105.12427v1
• [cs.LG]Density estimation: an inflation-deflation approach
Christian Horvat, Jean-Pascal Pfister
http://arxiv.org/abs/2105.12152v1
• [cs.LG]Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI
Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li
http://arxiv.org/abs/2105.12497v1
• [cs.LG]Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities
Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bastiaan S. Veeling, Alexandre Schmid, Ruud J. G. van Sloun
http://arxiv.org/abs/2105.12686v1
• [cs.LG]Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity
Michael Morris, Peter Hayes, Ingemar J. Cox, Vasileios Lampos
http://arxiv.org/abs/2105.12433v1
• [cs.LG]Exploring dual information in distance metric learning for clustering
Rodrigo Randel, Daniel Aloise, Alain Hertz
http://arxiv.org/abs/2105.12703v1
• [cs.LG]Finite-Sample Analysis of Off-Policy Natural Actor-Critic with Linear Function Approximation
Zaiwei Chen, Sajad Khodadadian, Siva Theja Maguluri
http://arxiv.org/abs/2105.12540v1
• [cs.LG]Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
Berfin Şimşek, François Ged, Arthur Jacot, Francesco Spadaro, Clément Hongler, Wulfram Gerstner, Johanni Brea
http://arxiv.org/abs/2105.12221v1
• [cs.LG]Graph Self Supervised Learning: the BT, the HSIC, and the VICReg
Sayan Nag
http://arxiv.org/abs/2105.12247v1
• [cs.LG]Intriguing Parameters of Structural Causal Models
Matej Zečević, Devendra Singh Dhami, Kristian Kersting
http://arxiv.org/abs/2105.12697v1
• [cs.LG]Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale
Zhaoxia, Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie, Yang, Hector Yuen, Jianyu Huang, Daya Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Satish Nadathur, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy
http://arxiv.org/abs/2105.12676v1
• [cs.LG]Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs
Willis Hoke, Daniel Shea, Stephen Casey
http://arxiv.org/abs/2105.12295v1
• [cs.LG]Out-of-Vocabulary Entities in Link Prediction
Caglar Demir, Axel-Cyrille Ngonga Ngomo
http://arxiv.org/abs/2105.12524v1
• [cs.LG]Practical Convex Formulation of Robust One-hidden-layer Neural Network Training
Yatong Bai, Tanmay Gautam, Yu Gai, Somayeh Sojoudi
http://arxiv.org/abs/2105.12237v1
• [cs.LG]Predict then Interpolate: A Simple Algorithm to Learn Stable Classifie
5000
rs
Yujia Bao, Shiyu Chang, Regina Barzilay
http://arxiv.org/abs/2105.12628v1
• [cs.LG]Provable Representation Learning for Imitation with Contrastive Fourier Features
Ofir Nachum, Mengjiao Yang
http://arxiv.org/abs/2105.12272v1
• [cs.LG]Robust Value Iteration for Continuous Control Tasks
Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
http://arxiv.org/abs/2105.12189v1
• [cs.LG]Scaling Properties of Deep Residual Networks
Alain-Sam Cohen, Rama Cont, Alain Rossier, Renyuan Xu
http://arxiv.org/abs/2105.12245v1
• [cs.LG]Submodular Kernels for Efficient Rankings
Michelangelo Conserva, Marc Peter Deisenroth, K S Sesh Kumar
http://arxiv.org/abs/2105.12356v1
• [cs.LG]Successive Convex Approximation Based Off-Policy Optimization for Constrained Reinforcement Learning
Chang Tian, An Liu, Guang Huang, Wu Luo
http://arxiv.org/abs/2105.12545v1
• [cs.LG]The Nonlinearity Coefficient — A Practical Guide to Neural Architecture Design
George Philipp
http://arxiv.org/abs/2105.12210v1
• [cs.LG]Towards an IMU-based Pen Online Handwriting Recognizer
Mohamad Wehbi, Tim Hamann, Jens Barth, Peter Kaempf, Dario Zanca, Bjoern Eskofier
http://arxiv.org/abs/2105.12434v1
• [cs.LG]TreeBERT: A Tree-Based Pre-Trained Model for Programming Language
Xue Jiang, Zhuoran Zheng, Chen Lyu, Liang Li, Lei Lyu
http://arxiv.org/abs/2105.12485v1
• [cs.LG]Using the Overlapping Score to Improve Corruption Benchmarks
Alfred Laugros, Alice Caplier, Matthieu Ospici
http://arxiv.org/abs/2105.12357v1
• [cs.LO]Runtime Monitoring for Markov Decision Processes
Sebastian Junges, Hazem Torfah, Sanjit A. Seshia
http://arxiv.org/abs/2105.12322v1
• [cs.NE]Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem
Jakob Bossek, Frank Neumann, Pan Peng, Dirk Sudholt
http://arxiv.org/abs/2105.12525v1
• [cs.NI]Towards Million-Server Network Simulations on Just a Laptop
Maciej Besta, Marcel Schneider, Salvatore Di Girolamo, Ankit Singla, Torsten Hoefler
http://arxiv.org/abs/2105.12663v1
• [cs.RO]Avoiding Dense and Dynamic Obstacles in Enclosed Spaces: Application to Moving in a Simulated Crowd
Lukas Huber, Jean-Jacques Slotine, Aude Billard
http://arxiv.org/abs/2105.11743v2
• [cs.RO]Collision Recovery Control of a Foldable Quadrotor
Karishma Patnaik, Shatadal Mishra, Zachary Chase, Wenlong Zhang
http://arxiv.org/abs/2105.12273v1
• [cs.RO]Comparison of Dynamic and Kinematic Model Driven Extended Kalman Filters (EKF) for the Localization of Autonomous Underwater Vehicles
Sharan Balasubramanian, Ayush Rajput, Rodra W. Hascaryo, Chirag Rastogi, William R. Norris
http://arxiv.org/abs/2105.12309v1
• [cs.RO]DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting
Eric Heiden, Miles Macklin, Yashraj Narang, Dieter Fox, Animesh Garg, Fabio Ramos
http://arxiv.org/abs/2105.12244v1
• [cs.RO]Epistemic Uncertainty Aware Semantic Localization and Mapping for Inference and Belief Space Planning
Vladimir Tchuiev, Vadim Indelman
http://arxiv.org/abs/2105.12359v1
• [cs.RO]Interpretable UAV Collision Avoidance using Deep Reinforcement Learning
Deepak-George Thomas, Daniil Olshanskyi, Karter Krueger, Ali Jannesari
http://arxiv.org/abs/2105.12254v1
• [cs.RO]Learning Bipedal Robot Locomotion from Human Movement
Michael Taylor, Sergey Bashkirov, Javier Fernandez Rico, Ike Toriyama, Naoyuki Miyada, Hideki Yanagisawa, Kensaku Ishizuka
http://arxiv.org/abs/2105.12277v1
• [cs.RO]On the Advantages of Multiple Stereo Vision Camera Designs for Autonomous Drone Navigation
Rui Pimentel de Figueiredo, Jakob Grimm Hansen, Jonas Le Fevre, Martim Brandão, Erdal Kayacan
http://arxiv.org/abs/2105.12691v1
• [cs.RO]Range Image-based LiDAR Localization for Autonomous Vehicles
Xieyuanli Chen, Ignacio Vizzo, Thomas Läbe, Jens Behley, Cyrill Stachniss
http://arxiv.org/abs/2105.12121v1
• [cs.RO]Self-Calibration of the Offset Between GPS and Semantic Map Frames for Robust Localization
Wei-Kang Tseng, Angela P. Schoellig, Timothy D. Barfoot
http://arxiv.org/abs/2105.12182v1
• [cs.RO]SimNet: Learning Reactive Self-driving Simulations from Real-world Observations
Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Blazej Osinski, Hugo Grimmett, Peter Ondruska
http://arxiv.org/abs/2105.12332v1
• [cs.RO]Smile Like You Mean It: Driving Animatronic Robotic Face with Learned Models
Boyuan Chen, Yuhang Hu, Lianfeng Li, Sara Cummings, Hod Lipson
http://arxiv.org/abs/2105.12724v1
• [cs.RO]What data do we need for training an AV motion planner?
Long Chen, Lukas Platinsky, Stefanie Speichert, Blazej Osinski, Oliver Scheel, Yawei Ye, Hugo Grimmett, Luca del Pero, Peter Ondruska
http://arxiv.org/abs/2105.12337v1
• [cs.SD]Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural Networks
Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer
http://arxiv.org/abs/2105.12395v1
• [cs.SI]A Comprehensive Survey on Community Detection with Deep Learning
Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cecile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu
http://arxiv.org/abs/2105.12584v1
• [cs.SI]Acquisition and analysis of crowd-sourced traffic data
Markus Hilpert, Jenni A. Shearston, Jemaleddin Cole, Steven N. Chillrud, Micaela E. Martinez
http://arxiv.org/abs/2105.12235v1
• [cs.SI]Climate Action During COVID-19 Recovery and Beyond: A Twitter Text Mining Study
Mohammad S. Parsa, Lukasz Golab, Srinivasan Keshav
http://arxiv.org/abs/2105.12190v1
• [cs.SI]Convergence criteria for sampling random graphs with specified degree sequences
Upasana Dutta, Aaron Clauset
http://arxiv.org/abs/2105.12120v1
• [cs.SI]It is rotating leaders who build the swarm: social network determinants of growth for healthcare virtual communities of practice
G. Antonacci, A. Fronzetti Colladon, A. Stefanini, P. Gloor
http://arxiv.org/abs/2105.12659v1
• [cs.SI]Local, global and scale-dependent node roles
Michael Scholkemper, Michael T. Schaub
http://arxiv.org/abs/2105.12598v1
• [cs.SI]Measuring information exchange and brokerage capacity of healthcare teams
F. Grippa, J. Bucuvalas, A. Booth, E. Alessandrini, A. Fronzetti Colladon, L. M. Wade
http://arxiv.org/abs/2105.12674v1
• [cs.SI]What makes you popular: beauty, personality or intelligence?
A. Fronzetti Colladon, F. Grippa, E. Battistoni, P. A. Gloor, A. La Bella
http://arxiv.org/abs/2105.12635v1
• [cs.SI]World War III Analysis using Signed Social Networks
Ranjana Roy, Shivam Gupta, Sravanthi Chede
http://arxiv.org/abs/2105.12460v1
• [econ.EM]A structural model of business cards exchange networks
Juan Nelson Martinez Dahbura, Shota Komatsu, Takanori Nishida, Angelo Mele
http://arxiv.org/abs/2105.12704v1
• [eess.AS]Training Speech Enhancement Systems with Noisy Speech Datasets
Koichi Saito, Stefan Uhlich, Giorgio Fabbro, Yuki Mitsufuji
http://arxiv.org/abs/2105.12315v1
• [eess.IV]CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network
Jinyang Guo, Dong Xu, Guo Lu
http://arxiv.org/abs/2105.12386v1
• [eess.IV]Permutation invariance and uncertainty in multitemporal image super-resolution
Diego Valsesia, Enrico Magli
http://arxiv.org/abs/2105.12409v1
• [eess.IV]Towards Transparent Application of Machine Learning in Video Processing
Luka Murn, Marc Gorriz Blanch, Maria Santamaria, Fiona Rivera, Marta Mrak
http://arxiv.org/abs/2105.12700v1
• [eess.IV]Weighing Features of Lung and Heart Regions for Thoracic Disease Classification
Jiansheng Fang, Yanwu Xu, Yitian Zhao, Yuguang Yan, Junling Liu, Jiang Liu
http://arxiv.org/abs/2105.12430v1
• [eess.SY]Safe Value Functions
Pierre-François Massiani, Steve Heim, Friedrich Solowjow, Sebastian Trimpe
http://arxiv.org/abs/2105.12204v1
• [math.OC]A data-driven approach to beating SAA out-of-sample
Jun-ya Gotoh, Michael Jong Kim, Andrew E. B. Lim
http://arxiv.org/abs/2105.12342v1
• [math.OC]A risk analysis framework for real-time control systems
Mads R. Bisgaard, Alexander Domahidi
http://arxiv.org/abs/2105.12225v1
• [math.OC]Certainty Equivalent Quadratic Control for Markov Jump Systems
Zhe Du, Yahya Sattar, Davoud Ataee Tarzanagh, Laura Balzano, Samet Oymak, Necmiye Ozay
http://arxiv.org/abs/2105.12358v1
• [math.OC]Distributed Zeroth-Order Stochastic Optimization in Time-varying Networks
Wenjie Li, Mohamad Assaad
http://arxiv.org/abs/2105.12597v1
• [math.OC]Saddle Point Optimization with Approximate Minimization Oracle and its Application to Robust Berthing Control
Youhei Akimoto, Yoshiki Miyauchi, Atsuo Maki
http://arxiv.org/abs/2105.11586v2
• [math.ST]Consistency of Privacy-Preserving Spectral Clustering under the Stochastic Block Model
Jonathan Hehir, Aleksandra Slavkovic, Xiaoyue Niu
http://arxiv.org/abs/2105.12615v1
• [physics.soc-ph]Entropy and complexity unveil the landscape of memes evolution
Carlo Michele Valensise, Alessandra Serra, Alessandro Galeazzi, Gabriele Etta, Matteo Cinelli, Walter Quattrociocchi
http://arxiv.org/abs/2105.12376v1
• [quant-ph]Automatic design of quantum feature maps
Sergio Altares-López, Angela Ribeiro, Juan José García-Ripoll
http://arxiv.org/abs/2105.12626v1
• [quant-ph]Compressed Sensing Measurement of Long-Range Correlated Noise
Alireza Seif, Mohammad Hafezi, Yi-Kai Liu
http://arxiv.org/abs/2105.12589v1
• [quant-ph]Lee Weight for Nonbinary Quantum Error Correction
Ryutaroh Matsumoto
http://arxiv.org/abs/2105.12354v1
• [stat.CO]Cauchy Markov Random Field Priors for Bayesian Inversion
Neil K. Chada, Lassi Roininen, Jarkko Suuronen
http://arxiv.org/abs/2105.12488v1
• [stat.ME]A non-parametric test for testing independence between time to failure and cause of failure of discrete competing risks data
Sreedevi E. P., Sudheesh K. K., Isha Dewan
http://arxiv.org/abs/2105.12325v1
• [stat.ME]An algorithm-based multiple detection influence measure for high dimensional regression using expectile
Amadou Barry, Nikhil Bhagwat, Bratislav Misic, Jean-Baptiste Poline, Celia M. T. Greenwood
http://arxiv.org/abs/2105.12286v1
• [stat.ME]Estimation of Optimal Dynamic Treatment Regimes via Gaussian Process Emulation: A Technical Report
Daniel Rodriguez Duque, David A. Stephens, Erica E. M. Moodie
http://arxiv.org/abs/2105.12259v1
• [stat.ME]Marginal structural models with Latent Class Growth Modeling of Treatment Trajectories
Awa Diop, Caroline Sirois, Jason Robert Guertin, Denis Talbot
http://arxiv.org/abs/2105.12720v1
• [stat.ME]Reciprocal first-order second-moment method
Benedikt Kriegesmann, Julian K. Lüdeker
http://arxiv.org/abs/2105.12230v1
• [stat.ML]Block Dense Weighted Networks with Augmented Degree Correction
Benjamin Leinwand, Vladas Pipiras
http://arxiv.org/abs/2105.12290v1
• [stat.ML]Rank-one matrix estimation: analytic time evolution of gradient descent dynamics
Antoine Bodin, Nicolas Macris
http://arxiv.org/abs/2105.12257v1
• [stat.ML]SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
Yu Wang, Alfred Hero
http://arxiv.org/abs/2105.12271v1
• [stat.ML]The “given data” paradigm undermines both cultures
Tyler McCormick
http://arxiv.org/abs/2105.12478v1
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