astro-ph.CO - 宇宙学和天体物理学
astro-ph.EP - 地球与行星天体
astro-ph.HE - 高能天体物理现象
cond-mat.mtrl-sci - 材料科学
cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CE - 计算工程、 金融和科学
cs.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.DL - 数字图书馆
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MA - 多代理系统
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.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.TH - 理论经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.AT - 代数拓扑
math.NA - 数值分析
math.OA - 算子代数
math.OC - 优化与控制
math.ST - 统计理论
physics.flu-dyn - 流体动力学
physics.soc-ph - 物理学与社会
q-fin.CP -计算金融学
q-fin.ST - 统计金融学
q-fin.TR - 贸易与市场微观结构
quant-ph - 量子物理
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [astro-ph.CO]Reconstruction of the Density Power Spectrum from Quasar Spectra using Machine Learning
• [astro-ph.EP]DPNNet-2.0 Part I: Finding hidden planets from simulated images of protoplanetary disk gaps
• [astro-ph.HE]Dim but not entirely dark: Extracting the Galactic Center Excess’ source-count distribution with neural nets
• [cond-mat.mtrl-sci]Establishing process-structure linkages using Generative Adversarial Networks
• [cs.AI]Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
• [cs.AI]MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning
• [cs.AI]Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
• [cs.AI]Semantic Reasoning with Differentiable Graph Transformations
• [cs.AI]ThingFO v1.2’s Terms, Properties, Relationships and Axioms — Foundational Ontology for Things
• [cs.AR]CREW: Computation Reuse and Efficient Weight Storage for Hardware-accelerated MLPs and RNNs
• [cs.AR]Positive/Negative Approximate Multipliers for DNN Accelerators
• [cs.AR]StreamBlocks: A compiler for heterogeneous dataflow computing (technical report)
• [cs.CE]Similarity metrics for Different Market Scenarios in Abides
• [cs.CL]BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge
• [cs.CL]Cross-Lingual BERT Contextual Embedding Space Mapping with Isotropic and Isometric Conditions
• [cs.CL]Different kinds of cognitive plausibility: why are transformers better than RNNs at predicting N400 amplitude?
• [cs.CL]Improving Sentence-Level Relation Extraction through Curriculum Learning
• [cs.CL]Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System
• [cs.CL]More Parameters? No Thanks!
• [cs.CL]Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning
• [cs.CL]Paraphrasing via Ranking Many Candidates
• [cs.CL]Seed Words Based Data Selection for Language Model Adaptation
• [cs.CL]Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation
• [cs.CL]Simultaneous Speech Translation for Live Subtitling: from Delay to Display
• [cs.CL]Token-Level Supervised Contrastive Learning for Punctuation Restoration
• [cs.CL]WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset
• [cs.CR]GNN4IP: Graph Neural Network for Hardware Intellectual Property Piracy Detection
• [cs.CR]Image-Hashing-Based Anomaly Detection for Privacy-Preserving Online Proctoring
• [cs.CV]A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in Images
• [cs.CV]Accelerating deep neural networks for efficient scene understanding in automotive cyber-physical systems
• [cs.CV]Active 3D Shape Reconstruction from Vision and Touch
• [cs.CV]Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues
• [cs.CV]Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion
• [cs.CV]Boosting few-shot classification with view-learnable contrastive learning
• [cs.CV]Built-in Elastic Transformations for Improved Robustness
• [cs.CV]Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification
• [cs.CV]Compound Figure Separation of Biomedical Images with Side Loss
• [cs.CV]Critic Guided Segmentation of Rewarding Objects in First-Person Views
• [cs.CV]DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation
• [cs.CV]Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography
• [cs.CV]DeepSocNav: Social Navigation by Imitating Human Behaviors
• [cs.CV]Discriminator-Free Generative Adversarial Attack
• [cs.CV]Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition
• [cs.CV]Face.evoLVe: A High-Performance Face Recognition Library
• [cs.CV]Image Fusion Transformer
• [cs.CV]InsPose: Instance-Aware Networks for Single-Stage Multi-Person Pose Estimation
• [cs.CV]Learning a Sensor-invariant Embedding of Satellite Data: A Case Study for Lake Ice Monitoring
• [cs.CV]Locality-aware Channel-wise Dropout for Occluded Face Recognition
• [cs.CV]Monocular Visual Analysis for Electronic Line Calling of Tennis Games
• [cs.CV]Multi-Modal Temporal Convolutional Network for Anticipating Actions in Egocentric Videos
• [cs.CV]QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries
• [cs.CV]RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank
• [cs.CV]ReSSL: Relational Self-Supervised Learning with Weak Augmentation
• [cs.CV]S2Looking: A Satellite Side-Looking Dataset for Building Change Detection
• [cs.CV]Saliency for free: Saliency prediction as a side-effect of object recognition
• [cs.CV]Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction
• [cs.CV]Separating Skills and Concepts for Novel Visual Question Answering
• [cs.CV]SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models
• [cs.CV]Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision
• [cs.CV]Towards Privacy-preserving Explanations in Medical Image Analysis
• [cs.CV]Understanding Gender and Racial Disparities in Image Recognition Models
• [cs.CV]Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark
• [cs.CY]Diversity in Sociotechnical Machine Learning Systems
• [cs.CY]From Teaching to Coaching: A Case Study of a Technical Communication Course
• [cs.CY]IT ambidexterity driven patient agility and hospital patient service performance: a variance approach
• [cs.CY]Multi-Layered Diagnostics for Smart Cities
• [cs.CY]The role of IT ambidexterity, digital dynamic capability and knowledge processes as enablers of patient agility: an empirical study
• [cs.CY]Toward Trustworthy Urban IT Systems: The Bright and Dark Sides of Smart City Development
• [cs.DC]A New Design Framework for Heterogeneous Uncoded Storage Elastic Computing
• [cs.DC]Online Deployment Algorithms for Microservice Systems with Complex Dependencies
• [cs.DL]Temporal search in the scientific space predicts breakthrough inventions
• [cs.HC]Readability Research: An Interdisciplinary Approach
• [cs.IR]Learned Sorted Table Search and Static Indexes in Small Space: Methodological and Practical Insights via an Experimental Study
• [cs.IT]A DNN-based OTFS Transceiver with Delay-Doppler Channel Training and IQI Compensation
• [cs.IT]Exploring the Non-Overlapping Visibility Regions in XL-MIMO Random Access Protocol
• [cs.IT]How Does Cell-Free Massive MIMO Support Multiple Federated Learning Groups?
• [cs.IT]Maximizing the Set Cardinality of Users Scheduled for Ultra-dense uRLLC Networks
• [cs.IT]Relay-Assisted Cooperative Federated Learning
• [cs.IT]Rethinking the Tradeoff in Integrated Sensing and Communication: Recognition Accuracy versus Communication Rate
• [cs.IT]Support Recovery in Universal One-bit Compressed Sensing
• [cs.IT]User Association in Dense mmWave Networks as Restless Bandits
• [cs.LG]A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks
• [cs.LG]Adaptive Transfer Learning on Graph Neural Networks
• [cs.LG]Algorithm Selection on a Meta Level
• [cs.LG]An Embedding of ReLU Networks and an Analysis of their Identifiability
• [cs.LG]An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients
• [cs.LG]Approximation Theory of Convolutional Architectures for Time Series Modelling
• [cs.LG]Best-of-All-Worlds Bounds for Online Learning with Feedback Graphs
• [cs.LG]ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE
• [cs.LG]CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression
• [cs.LG]Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
• [cs.LG]Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach
• [cs.LG]Edge of chaos as a guiding principle for modern neural network training
• [cs.LG]Evaluating Probabilistic Inference in Deep Learning: Beyond Marginal Predictions
• [cs.LG]Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features
• [cs.LG]FoleyGAN: Visually Guided Generative Adversarial Network-Based Synchronous Sound Generation in Silent Videos
• [cs.LG]Follow Your Path: a Progressive Method for Knowledge Distillation
• [cs.LG]Generative Video Transformer: Can Objects be the Words?
• [cs.LG]Heterogeneous network-based drug repurposing for COVID-19
• [cs.LG]Improving exploration in policy gradient search: Application to symbolic optimization
• [cs.LG]Kernel Selection for Stein Variational Gradient Descent
• [cs.LG]LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies
• [cs.LG]Large-scale graph representation learning with very deep GNNs and self-supervision
• [cs.LG]Latency-Memory Optimized Splitting of Convolution Neural Networks for Resource Constrained Edge Devices
• [cs.LG]Learn2Hop: Learned Optimization on Rough Landscapes
• [cs.LG]M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis
• [cs.LG]Mining Topological Dependencies of Recurrent Congestion in Road Networks
• [cs.LG]OnlineSTL: Scaling Time Series Decomposition by 100x
• [cs.LG]Open Problem: Is There an Online Learning Algorithm That Learns Whenever Online Learning Is Possible?
• [cs.LG]Parametric Scattering Networks
• [cs.LG]Path Integrals for the Attribution of Model Uncertainties
• [cs.LG]Precision-Weighted Federated Learning
• [cs.LG]Predicting Driver Takeover Time in Conditionally Automated Driving
• [cs.LG]Predicting Friction System Performance with Symbolic Regression and Genetic Programming with Factor Variables
• [cs.LG]Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI
• [cs.LG]Proximal Policy Optimization for Tracking Control Exploiting Future Reference Information
• [cs.LG]Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Technical Challenges and Solutions
• [cs.LG]Rethinking the limiting dynamics of SGD: modified loss, phase space oscillations, and anomalous diffusion
• [cs.LG]Significant Wave Height Prediction based on Wavelet Graph Neural Network
• [cs.LG]Toward Collaborative Reinforcement Learning Agents that Communicate Through Text-Based Natural Language
• [cs.LG]Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production
• [cs.LG]VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
• [cs.LG]Wave-Informed Matrix Factorization withGlobal Optimality Guarantees
• [cs.MA]Rational Verification for Probabilistic Systems
• [cs.NE]Using Shape Constraints for Improving Symbolic Regression Models
• [cs.NI]Into Summarization Techniques for IoT Data Discovery Routing
• [cs.RO]A Portable Agricultural Robot for Continuous Apparent Soil ElectricalConductivity Measurements to Improve Irrigation Practices
• [cs.RO]Attitude and In-orbit Residual Magnetic Moment Estimation of Small Satellites Using only Magnetometer
• [cs.RO]Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM
• [cs.RO]Constellation Design of Remote Sensing Small Satellite for Infrastructure Monitoring in India
• [cs.RO]Learning to Share Autonomy Across Repeated Interaction
• [cs.RO]Ontology-Assisted Generalisation of Robot Action Execution Knowledge
• [cs.RO]Reinforcement learning autonomously identifying the source of errors for agents in a group mission
• [cs.SD]A Real-time Speaker Diarization System Based on Spatial Spectrum
• [cs.SD]On Prosody Modeling for ASR+TTS based Voice Conversion
• [cs.SD]Sequence-to-Sequence Piano Transcription with Transformers
• [cs.SE]Multi-objective Test Case Selection Through Linkage Learning-based Crossover
• [cs.SI]Analysis of External Content in the Vaccination Discussion on Twitter
• [cs.SI]Predicting the 2020 US Presidential Election with Twitter
• [cs.SI]Proximity in face-to-face interaction is associated with mobile phone communication
• [econ.TH]Data Sharing Markets
• [eess.AS]SVSNet: An End-to-end Speaker Voice Similarity Assessment Model
• [eess.AS]Streaming End-to-End ASR based on Blockwise Non-Autoregressive Models
• [eess.IV]A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions
• [eess.IV]Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation
• [eess.IV]Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT
• [eess.IV]Confidence Aware Neural Networks for Skin Cancer Detection
• [eess.IV]Convolutional module for heart localization and segmentation in MRI
• [eess.IV]DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H&E whole-slide images
• [eess.IV]LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging
• [eess.IV]OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression
• [eess.IV]Protecting Semantic Segmentation Models by Using Block-wise Image Encryption with Secret Key from Unauthorized Access
• [eess.IV]Quality and Complexity Assessment of Learning-Based Image Compression Solutions
• [eess.IV]SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution
• [eess.SP]Accelerating Edge Intelligence via Integrated Sensing and Communication
• [eess.SP]Explicit Calibration of mmWave Phased Arrays with Phase Dependent Errors
• [eess.SP]Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild
• [eess.SY]A DoE-based approach for the implementation of structural surrogate models in the early stage design of box-wing aircraft
• [math.AT]Entropy as a Topological Operad Derivation
• [math.NA]Eigenvector Centrality and Uniform Dominant Eigenvalue of Graph Components
• [math.NA]Positively Weighted Kernel Quadrature via Subsampling
• [math.OA]Quantum smooth uncertainty principles for von Neumann bi-algebras
• [math.OC]Asymptotic Escape of Spurious Critical Points on the Low-rank Matrix Manifold
• [math.ST]Directional testing for high-dimensional multivariate normal distributions
• [math.ST]Estimation of a regression function on a manifold by fully connected deep neural networks
• [math.ST]Generalized maximum likelihood estimation of the mean of parameters of mixtures, with applications to sampling
• [math.ST]Multi-Normex Distributions for the Sum of Random Vectors. Rates of Convergence
• [math.ST]On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors
• [math.ST]On some information-theoretic aspects of non-linear statistical inverse problems
• [math.ST]Record-Based Transmuted Generalized Linear Exponential Distribution with Increasing, Decreasing and Bathtub Shaped Failure Rates
• [math.ST]The Completion of Covariance Kernels
• [math.ST]The Smoking Gun: Statistical Theory Improves Neural Network Estimates
• [physics.flu-dyn]Hybrid neural network reduced order modelling for turbulent flows with geometric parameters
• [physics.soc-ph]On node ranking in graphs
• [q-fin.CP]AI in Finance: Challenges, Techniques and Opportunities
• [q-fin.ST]Stock price prediction using BERT and GAN
• [q-fin.TR]Order Book Queue Hawkes-Markovian Modeling
• [quant-ph]Sample Complexity of Learning Quantum Circuits
• [stat.AP]A Comparison of Value-Added Models for School Accountability
• [stat.AP]A Non-ergodic Spectral Acceleration Ground Motion Model for California Developed with Random Vibration Theory
• [stat.AP]BICNet: A Bayesian Approach for Estimating Task Effects on Intrinsic Connectivity Networks in fMRI Data
• [stat.AP]Pooled testing to isolate infected individuals
• [stat.AP]Study of the Parent-of-origin effect in monogenic diseases with variable age of onset. Application on ATTRv
• [stat.CO]JAGS, NIMBLE, Stan: a detailed comparison among Bayesian MCMC software
• [stat.ME]Accounting for spatial confounding in epidemiological studies with individual-level exposures: An exposure-penalized spline approach
• [stat.ME]Adaptively Sampling via Regional Variance-Based Sensitivities
• [stat.ME]Conditional Wasserstein Barycenters and Interpolation/Extrapolation of Distributions
• [stat.ME]Diagnosis of model-structural errors with a sliding time-window Bayesian analysis
• [stat.ME]Inference for Change Points in High Dimensional Mean Shift Models
• [stat.ME]Kpop: A kernel balancing approach for reducing specification assumptions in survey weighting
• [stat.ME]Moving towards practical user-friendly synthesis: Scalable synthetic data methods for large confidential administrative databases using saturated count models
• [stat.ME]Sparse composite likelihood selection
• [stat.ML]A Bayesian Approach to Invariant Deep Neural Networks
• [stat.ML]Adaptive wavelet distillation from neural networks through interpretations
• [stat.ML]An induction proof of the backpropagation algorithm in matrix notation
• [stat.ML]Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression
• [stat.ML]Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection
• [stat.ML]High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
• [stat.ML]Reward-Weighted Regression Converges to a Global Optimum
·····································
• [astro-ph.CO]Reconstruction of the Density Power Spectrum from Quasar Spectra using Machine Learning
Maria Han Veiga, Xi Meng, Oleg Y. Gnedin, Nickolay Y. Gnedin, Xun Huan
http://arxiv.org/abs/2107.09082v1
• [astro-ph.EP]DPNNet-2.0 Part I: Finding hidden planets from simulated images of protoplanetary disk gaps
Sayantan Auddy, Ramit Dey, Min-Kai Lin, Cassandra Hall
http://arxiv.org/abs/2107.09086v1
• [astro-ph.HE]Dim but not entirely dark: Extracting the Galactic Center Excess’ source-count distribution with neural nets
Florian List, Nicholas L. Rodd, Geraint F. Lewis
http://arxiv.org/abs/2107.09070v1
• [cond-mat.mtrl-sci]Establishing process-structure linkages using Generative Adversarial Networks
Mohammad Safiuddin, CH Likith Reddy, Ganesh Vasantada, CHJNS Harsha, Srinu Gangolu
http://arxiv.org/abs/2107.09402v1
• [cs.AI]Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
Tim Franzmeyer, Mateusz Malinowski, João F. Henriques
http://arxiv.org/abs/2107.09598v1
• [cs.AI]MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning
Xueping Peng, and Guodong Long, Tao Shen, Sen Wang, Zhendong Niu, Chengqi Zhang
http://arxiv.org/abs/2107.09288v1
• [cs.AI]Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto
http://arxiv.org/abs/2107.09645v1
• [cs.AI]Semantic Reasoning with Differentiable Graph Transformations
Alberto Cetoli
http://arxiv.org/abs/2107.09579v1
• [cs.AI]ThingFO v1.2’s Terms, Properties, Relationships and Axioms — Foundational Ontology for Things
Luis Olsina
http://arxiv.org/abs/2107.09129v1
• [cs.AR]CREW: Computation Reuse and Efficient Weight Storage for Hardware-accelerated MLPs and RNNs
Marc Riera, Jose-Maria Arnau, Antonio Gonzalez
http://arxiv.org/abs/2107.09408v1
• [cs.AR]Positive/Negative Approximate Multipliers for DNN Accelerators
Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel
http://arxiv.org/abs/2107.09366v1
• [cs.AR]StreamBlocks: A compiler for heterogeneous dataflow computing (technical report)
Endri Bezati, Mahyar Emami, Jörn Janneck, James Larus
http://arxiv.org/abs/2107.09333v1
• [cs.CE]Similarity metrics for Different Market Scenarios in Abides
Diego Pino, Javier García, Fernando Fernández, Svitlana S Vyetrenko
http://arxiv.org/abs/2107.09352v1
• [cs.CL]BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge
Huiqiang Jiang, Guoxin Wang, Weile Chen, Chengxi Zhang, Börje F. Karlsson
http://arxiv.org/abs/2107.09429v1
• [cs.CL]Cross-Lingual BERT Contextual Embedding Space Mapping with Isotropic and Isometric Conditions
Haoran Xu, Philipp Koehn
http://arxiv.org/abs/2107.09186v1
• [cs.CL]Different kinds of cognitive plausibility: why are transformers better than RNNs at predicting N400 amplitude?
James A. Michaelov, Megan D. Bardolph, Seana Coulson, Benjamin K. Bergen
http://arxiv.org/abs/2107.09648v1
• [cs.CL]Improving Sentence-Level Relation Extraction through Curriculum Learning
Seongsik Park, Harksoo Kim
http://arxiv.org/abs/2107.09332v1
• [cs.CL]Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System
Shuang Ao, Xeno Acharya
http://arxiv.org/abs/2107.09625v1
• [cs.CL]More Parameters? No Thanks!
Zeeshan Khan, Kartheek Akella, Vinay P. Namboodiri, C V Jawahar
http://arxiv.org/abs/2107.09622v1
• [cs.CL]Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning
Kaylee Burns, Christopher D. Manning, Li Fei-Fei
http://arxiv.org/abs/2107.09285v1
• [cs.CL]Paraphrasing via Ranking Many Candidates
Joosung Lee
http://arxiv.org/abs/2107.09274v1
• [cs.CL]Seed Words Based Data Selection for Language Model Adaptation
Roberto Gretter, Marco Matassoni, Daniele Falavigna
http://arxiv.org/abs/2107.09433v1
• [cs.CL]Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation
Qinglin Zhang, Qian Chen, Yali Li, Jiaqing Liu, Wen Wang
http://arxiv.org/abs/2107.09278v1
• [cs.CL]Simultaneous Speech Translation for Live Subtitling: from Delay to Display
Alina Karakanta, Sara Papi, Matteo Negri, Marco Turchi
http://arxiv.org/abs/2107.08807v2
• [cs.CL]Token-Level Supervised Contrastive Learning for Punctuation Restoration
Qiushi Huang, Tom Ko, H Lilian Tang, Xubo Liu, Bo Wu
http://arxiv.org/abs/2107.09099v1
• [cs.CL]WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset
Luyu Wang, Yujia Li, Ozlem Aslan, Oriol Vinyals
http://arxiv.org/abs/2107.09556v1
• [cs.CR]GNN4IP: Graph Neural Network for Hardware Intellectual Property Piracy Detection
Rozhin Yasaei, Shih-Yuan Yu, Emad Kasaeyan Naeini, Mohammad Abdullah Al Faruque
http://arxiv.org/abs/2107.09130v1
• [cs.CR]Image-Hashing-Based Anomaly Detection for Privacy-Preserving Online Proctoring
Waheeb Yaqub, Manoranjan Mohanty, Basem Suleiman
http://arxiv.org/abs/2107.09373v1
• [cs.CV]A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in Images
Vincent Wilmet, Sauraj Verma, Tabea Redl, Håkon Sandaker, Zhenning Li
http://arxiv.org/abs/2107.09204v1
• [cs.CV]Accelerating deep neural networks for efficient scene understanding in automotive cyber-physical systems
Stavros Nousias, Erion-Vasilis Pikoulis, Christos Mavrokefalidis, Aris S. Lalos
http://arxiv.org/abs/2107.09101v1
• [cs.CV]Active 3D Shape Reconstruction from Vision and Touch
Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal
http://arxiv.org/abs/2107.09584v1
• [cs.CV]Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues
Xingxing Yang, Jie Chen, Zaifeng Yang, Zhenghua Chen
http://arxiv.org/abs/2107.09237v1
• [cs.CV]Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion
Suzhen Wang, Lincheng Li, Yu Ding, Changjie Fan, Xin Yu
http://arxiv.org/abs/2107.09293v1
• [cs.CV]Boosting few-shot classification with view-learnable contrastive learning
Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu
http://arxiv.org/abs/2107.09242v1
• [cs.CV]Built-in Elastic Transformations for Improved Robustness
Sadaf Gulshad, Ivan Sosnovik, Arnold Smeulders
http://arxiv.org/abs/2107.09391v1
• [cs.CV]Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification
Kazuma Fujii, Suehiro Daiki, Nishimura Kazuya, Bise Ryoma
http://arxiv.org/abs/2107.09289v1
• [cs.CV]Compound Figure Separation of Biomedical Images with Side Loss
Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo
http://arxiv.org/abs/2107.08650v1
• [cs.CV]Critic Guided Segmentation of Rewarding Objects in First-Person Views
Andrew Melnik, Augustin Harter, Christian Limberg, Krishan Rana, Niko Suenderhauf, Helge Ritter
http://arxiv.org/abs/2107.09540v1
• [cs.CV]DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation
Li Gao, Jing Zhang, Lefei Zhang, Dacheng Tao
http://arxiv.org/abs/2107.09600v1
• [cs.CV]Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography
Olivia Byrnes, Wendy La, Hu Wang, Congbo Ma, Minhui Xue, Qi Wu
http://arxiv.org/abs/2107.09287v1
• [cs.CV]DeepSocNav: Social Navigation by Imitating Human Behaviors
Juan Pablo de Vicente, Alvaro Soto
http://arxiv.org/abs/2107.09170v1
• [cs.CV]Discriminator-Free Generative Adversarial Attack
Shaohao Lu, Yuqiao Xian, Ke Yan, Yi Hu, Xing Sun, Xiaowei Guo, Feiyue Huang, Wei-Shi Zheng
http://arxiv.org/abs/2107.09225v1
• [cs.CV]Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition
Benjamin Spetter-Goldstein, Nataniel Ruiz, Sarah Adel Bargal
http://arxiv.org/abs/2107.09126v1
• [cs.CV]Face.evoLVe: A High-Performance Face Recognition Library
Qingzhong Wang, Pengfei Zhang, Haoyi Xiong, Jian Zhao
http://arxiv.org/abs/2107.08621v2
• [cs.CV]Image Fusion Transformer
Vibashan VS, Jeya Maria Jose Valanarasu, Poojan Oza, Vishal M. Patel
http://arxiv.org/abs/2107.09011v2
• [cs.CV]InsPose: Instance-Aware Networks for Single-Stage Multi-Person Pose Estimation
Dahu Shi, Xing Wei, Xiaodong Yu, Wenming Tan, Ye Ren, Shiliang Pu
http://arxiv.org/abs/2107.08982v2
• [cs.CV]Learning a Sensor-invariant Embedding of Satellite Data: A Case Study for Lake Ice Monitoring
Manu Tom, Yuchang Jiang, Emmanuel Baltsavias, Konrad Schindler
http://arxiv.org/abs/2107.09092v1
• [cs.CV]Locality-aware Channel-wise Dropout for Occluded Face Recognition
Mingjie He, Jie Zhang, Shiguang Shan, Xiao Liu, Zhongqin Wu, Xilin Chen
http://arxiv.org/abs/2107.09270v1
• [cs.CV]Monocular Visual Analysis for Electronic Line Calling of Tennis Games
Yuanzhou Chen, Shaobo Cai, Yuxin Wang, Junchi Yan
http://arxiv.org/abs/2107.09255v1
• [cs.CV]Multi-Modal Temporal Convolutional Network for Anticipating Actions in Egocentric Videos
Olga Zatsarynna, Yazan Abu Farha, Juergen Gall
http://arxiv.org/abs/2107.09504v1
• [cs.CV]QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries
Jie Lei, Tamara L. Berg, Mohit Bansal
http://arxiv.org/abs/2107.09609v1
• [cs.CV]RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank
Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao
http://arxiv.org/abs/2107.09427v1
• [cs.CV]ReSSL: Relational Self-Supervised Learning with Weak Augmentation
Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
http://arxiv.org/abs/2107.09282v1
• [cs.CV]S2Looking: A Satellite Side-Looking Dataset for Building Change Detection
Li Shen, Yao Lu, Hao Chen, Hao Wei, Donghai Xie, Jiabao Yue, Rui Chen, Yue Zhang, Ao Zhang, Shouye Lv, Bitao Jiang
http://arxiv.org/abs/2107.09244v1
• [cs.CV]Saliency for free: Saliency prediction as a side-effect of object recognition
Carola Figueroa-Flores, David Berga, Joost van der Weijer, Bogdan Raducanu
http://arxiv.org/abs/2107.09628v1
• [cs.CV]Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction
Duy M. H. Nguyen, Truong T. N. Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag
http://arxiv.org/abs/2107.09372v1
• [cs.CV]Separating Skills and Concepts for Novel Visual Question Answering
Spencer Whitehead, Hui Wu, Heng Ji, Rogerio Feris, Kate Saenko
http://arxiv.org/abs/2107.09106v1
• [cs.CV]SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models
Moonbin Yim, Yoonsik Kim, Han-Cheol Cho, Sungrae Park
http://arxiv.org/abs/2107.09313v1
• [cs.CV]Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision
Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng
http://arxiv.org/abs/2107.09249v1
• [cs.CV]Towards Privacy-preserving Explanations in Medical Image Analysis
H. Montenegro, W. Silva, J. S. Cardoso
http://arxiv.org/abs/2107.09652v1
• [cs.CV]Understanding Gender and Racial Disparities in Image Recognition Models
Rohan Mahadev, Anindya Chakravarti
http://arxiv.org/abs/2107.09211v1
• [cs.CV]Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark
Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou
http://arxiv.org/abs/2107.08645v2
• [cs.CY]Diversity in Sociotechnical Machine Learning Systems
Sina Fazelpour, Maria De-Arteaga
http://arxiv.org/abs/2107.09163v1
• [cs.CY]From Teaching to Coaching: A Case Study of a Technical Communication Course
Rayed Alghamdi, Seyed M. Buhari, Madini O. Alassafi
http://arxiv.org/abs/2107.09533v1
• [cs.CY]IT ambidexterity driven patient agility and hospital patient service performance: a variance approach
Rogier van de Wetering
http://arxiv.org/abs/2107.09415v1
• [cs.CY]Multi-Layered Diagnostics for Smart Cities
Jungheum Park, Hyunji Chung, Joanna F. DeFranco
http://arxiv.org/abs/2107.09284v1
• [cs.CY]The role of IT ambidexterity, digital dynamic capability and knowledge processes as enablers of patient agility: an empirical study
Rogier van de Wetering, Johan Versendaal
http://arxiv.org/abs/2107.09419v1
• [cs.CY]Toward Trustworthy Urban IT Systems: The Bright and Dark Sides of Smart City Development
Jungheum Park, Hyunji Chung
http://arxiv.org/abs/2107.09283v1
• [cs.DC]A New Design Framework for Heterogeneous Uncoded Storage Elastic Computing
Mingyue Ji, Xiang Zhang, Kai Wan
http://arxiv.org/abs/2107.09657v1
• [cs.DC]Online Deployment Algorithms for Microservice Systems with Complex Dependencies
Xiang He, Zhiying Tu, Markus Wagner, Xiaofei Xu, Zhongjie Wang
http://arxiv.org/abs/2107.09308v1
• [cs.DL]Temporal search in the scientific space predicts breakthrough inventions
Chao Min, Qing Ke
http://arxiv.org/abs/2107.09176v1
• [cs.HC]Readability Research: An Interdisciplinary Approach
Sofie Beier, Sam Berlow, Esat Boucaud, Zoya Bylinskii, Tianyuan Cai, Jenae Cohn, Kathy Crowley, Stephanie L. Day, Tilman Dingler, Jonathan Dobres, Jennifer Healey, Rajiv Jain, Marjorie Jordan, Bernard Kerr, Qisheng Li, Dave B. Miller, Susanne Nobles, Alexandra Papoutsaki, Jing Qian, Tina Rezvanian, Shelley Rodrigo, Ben D. Sawyer, Shannon M. Sheppard, Bram Stein, Rick Treitman, Jen Vanek, Shaun Wallace, Benjamin Wolfe
http://arxiv.org/abs/2107.09615v1
• [cs.IR]Learned Sorted Table Search and Static Indexes in Small Space: Methodological and Practical Insights via an Experimental Study
Domenico Amato, Raffaele Giancarlo, Giosuè Lo Bosco
http://arxiv.org/abs/2107.09480v1
• [cs.IT]A DNN-based OTFS Transceiver with Delay-Doppler Channel Training and IQI Compensation
Ashwitha Naikoti, A. Chockalingam
http://arxiv.org/abs/2107.09376v1
• [cs.IT]Exploring the Non-Overlapping Visibility Regions in XL-MIMO Random Access Protocol
José Carlos Marinello Filho, Glauber Brante, Richard Demo Souza, Taufik Abrão
http://arxiv.org/abs/2107.09169v1
• [cs.IT]How Does Cell-Free Massive MIMO Support Multiple Federated Learning Groups?
Tung T. Vu, Hien Quoc Ngo, Thomas L. Marzetta, Michail Matthaiou
http://arxiv.org/abs/2107.09577v1
• [cs.IT]Maximizing the Set Cardinality of Users Scheduled for Ultra-dense uRLLC Networks
Shiwen He, Jun Yuan, Zhenyu An, Yunshan Yi, Yongming Huang
http://arxiv.org/abs/2107.09404v1
• [cs.IT]Relay-Assisted Cooperative Federated Learning
Zehong Lin, Hang Liu, Ying-Jun Angela Zhang
http://arxiv.org/abs/2107.09518v1
• [cs.IT]Rethinking the Tradeoff in Integrated Sensing and Communication: Recognition Accuracy versus Communication Rate
Guoliang Li, Shuai Wang, Jie Li, Rui Wang, Fan Liu, Meihong Zhang, Xiaohui Peng, Tony Xiao Han
http://arxiv.org/abs/2107.09621v1
• [cs.IT]Support Recovery in Universal One-bit Compressed Sensing
Arya Mazumdar, Soumyabrata Pal
http://arxiv.org/abs/2107.09091v1
• [cs.IT]User Association in Dense mmWave Networks as Restless Bandits
S. K. Singh, V. S. Borkar, G. S. Kasbekar
http://arxiv.org/abs/2107.09153v1
• [cs.LG]A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks
Erion-Vasilis Pikoulis, Christos Mavrokefalidis, Aris S. Lalos
http://arxiv.org/abs/2107.09095v1
• [cs.LG]Adaptive Transfer Learning on Graph Neural Networks
Xueting Han, Zhenhuan Huang, Bang An, Jing Bai
http://arxiv.org/abs/2107.08765v2
• [cs.LG]Algorithm Selection on a Meta Level
Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier
http://arxiv.org/abs/2107.09414v1
• [cs.LG]An Embedding of ReLU Networks and an Analysis of their Identifiability
Pierre Stock, Rémi Gribonval
http://arxiv.org/abs/2107.09370v1
• [cs.LG]An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients
João Carvalho, Davide Tateo, Fabio Muratore, Jan Peters
http://arxiv.org/abs/2107.09359v1
• [cs.LG]Approximation Theory of Convolutional Architectures for Time Series Modelling
Haotian Jiang, Zhong Li, Qianxiao Li
http://arxiv.org/abs/2107.09355v1
• [cs.LG]Best-of-All-Worlds Bounds for Online Learning with Feedback Graphs
Liad Erez, Tomer Koren
http://arxiv.org/abs/2107.09572v1
• [cs.LG]ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE
Qingzhong Ai, Lirong He, Shiyu Liu, Zenglin Xu
http://arxiv.org/abs/2107.09286v1
• [cs.LG]CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression
Zhize Li, Peter Richtárik
http://arxiv.org/abs/2107.09461v1
• [cs.LG]Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer
http://arxiv.org/abs/2107.09562v1
• [cs.LG]Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach
Balázs Varga, Balázs Kulcsár, Morteza Haghir Chehreghani
http://arxiv.org/abs/2107.09139v1
• [cs.LG]Edge of chaos as a guiding principle for modern neural network training
Lin Zhang, Ling Feng, Kan Chen, Choy Heng Lai
http://arxiv.org/abs/2107.09437v1
• [cs.LG]Evaluating Probabilistic Inference in Deep Learning: Beyond Marginal Predictions
Xiuyuan Lu, Ian Osband, Benjamin Van Roy, Zheng Wen
http://arxiv.org/abs/2107.09224v1
• [cs.LG]Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features
Hui Liu, Bo Zhao, Yuefeng Peng, Jiabao Guo, Peng Liu
http://arxiv.org/abs/2107.09502v1
• [cs.LG]FoleyGAN: Visually Guided Generative Adversarial Network-Based Synchronous Sound Generation in Silent Videos
Sanchita Ghose, John J. Prevost
http://arxiv.org/abs/2107.09262v1
• [cs.LG]Follow Your Path: a Progressive Method for Knowledge Distillation
Wenxian Shi, Yuxuan Song, Hao Zhou, Bohan Li, Lei Li
http://arxiv.org/abs/2107.09305v1
• [cs.LG]Generative Video Transformer: Can Objects be the Words?
Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn
http://arxiv.org/abs/2107.09240v1
• [cs.LG]Heterogeneous network-based drug repurposing for COVID-19
Shuting Jin, Xiangxiang Zeng, Wei Huang, Feng Xia, Changzhi Jiang, Xiangrong Liu, Shaoliang Peng
http://arxiv.org/abs/2107.09217v1
• [cs.LG]Improving exploration in policy gradient search: Application to symbolic optimization
Mikel Landajuela Larma, Brenden K. Petersen, Soo K. Kim, Claudio P. Santiago, Ruben Glatt, T. Nathan Mundhenk, Jacob F. Pettit, Daniel M. Faissol
http://arxiv.org/abs/2107.09158v1
• [cs.LG]Kernel Selection for Stein Variational Gradient Descent
Qingzhong Ai, Shiyu Liu, Zenglin Xu
http://arxiv.org/abs/2107.09338v1
• [cs.LG]LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies
Mohanad Odema, Nafiul Rashid, Berken Utku Demirel, Mohammad Abdullah Al Faruque
http://arxiv.org/abs/2107.09309v1
• [cs.LG]Large-scale graph representation learning with very deep GNNs and self-supervision
Ravichandra Addanki, Peter W. Battaglia, David Budden, Andreea Deac, Jonathan Godwin, Thomas Keck, Wai Lok Sibon Li, Alvaro Sanchez-Gonzalez, Jacklynn Stott, Shantanu Thakoor, Petar Veličković
http://arxiv.org/abs/2107.09422v1
• [cs.LG]Latency-Memory Optimized Splitting of Convolution Neural Networks for Resource Constrained Edge Devices
Tanmay Jain, Avaneesh, Rohit Verma, Rajeev Shorey
http://arxiv.org/abs/2107.09123v1
• [cs.LG]Learn2Hop: Learned Optimization on Rough Landscapes
Amil Merchant, Luke Metz, Sam Schoenholz, Ekin Dogus Cubuk
http://arxiv.org/abs/2107.09661v1
• [cs.LG]M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis
Xingbo Wang, Jianben He, Zhihua Jin, Muqiao Yang, Yong Wang, Huamin Qu
http://arxiv.org/abs/2107.08264v2
• [cs.LG]Mining Topological Dependencies of Recurrent Congestion in Road Networks
Nicolas Tempelmeier, Udo Feuerhake, Oskar Wage, Elena Demidova
http://arxiv.org/abs/2107.09554v1
• [cs.LG]OnlineSTL: Scaling Time Series Decomposition by 100x
Abhinav Mishra, Ram Sriharsha, Sichen Zhong
http://arxiv.org/abs/2107.09110v1
• [cs.LG]Open Problem: Is There an Online Learning Algorithm That Learns Whenever Online Learning Is Possible?
Steve Hanneke
http://arxiv.org/abs/2107.09542v1
• [cs.LG]Parametric Scattering Networks
Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf
http://arxiv.org/abs/2107.09539v1
• [cs.LG]Path Integrals for the Attribution of Model Uncertainties
Iker Perez, Piotr Skalski, Alec Barns-Graham, Jason Wong, David Sutton
http://arxiv.org/abs/2107.08756v2
• [cs.LG]Precision-Weighted Federated Learning
Jonatan Reyes, Lisa Di Jorio, Cecile Low-Kam, Marta Kersten-Oertel
http://arxiv.org/abs/2107.09627v1
• [cs.LG]Predicting Driver Takeover Time in Conditionally Automated Driving
Jackie Ayoub, Na Du, X. Jessie Yang, Feng Zhou
http://arxiv.org/abs/2107.09545v1
• [cs.LG]Predicting Friction System Performance with Symbolic Regression and Genetic Programming with Factor Variables
Gabriel Kronberger, Michael Kommenda, Andreas Promberger, Falk Nickel
http://arxiv.org/abs/2107.09484v1
• [cs.LG]Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI
Quanshi Zhang, Tian Han, Lixin Fan, Zhanxing Zhu, Hang Su, Ying Nian Wu, Jie Ren, Hao Zhang
http://arxiv.org/abs/2107.08821v1
• [cs.LG]Proximal Policy Optimization for Tracking Control Exploiting Future Reference Information
Jana Mayer, Johannes Westermann, Juan Pedro Gutiérrez H. Muriedas, Uwe Mettin, Alexander Lampe
http://arxiv.org/abs/2107.09647v1
• [cs.LG]Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Technical Challenges and Solutions
Eike Petersen, Yannik Potdevin, Esfandiar Mohammadi, Stephan Zidowitz, Sabrina Breyer, Dirk Nowotka, Sandra Henn, Ludwig Pechmann, Martin Leucker, Philipp Rostalski, Christian Herzog
http://arxiv.org/abs/2107.09546v1
• [cs.LG]Rethinking the limiting dynamics of SGD: modified loss, phase space oscillations, and anomalous diffusion
Daniel Kunin, Javier Sagastuy-Brena, Lauren Gillespie, Eshed Margalit, Hidenori Tanaka, Surya Ganguli, Daniel L. K. Yamins
http://arxiv.org/abs/2107.09133v1
• [cs.LG]Significant Wave Height Prediction based on Wavelet Graph Neural Network
Delong Chen, Fan Liu, Zheqi Zhang, Xiaomin Lu, Zewen Li
http://arxiv.org/abs/2107.09483v1
• [cs.LG]Toward Collaborative Reinforcement Learning Agents that Communicate Through Text-Based Natural Language
Kevin Eloff, Herman Engelbrecht
http://arxiv.org/abs/2107.09356v1
• [cs.LG]Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production
Wissam Siblini, Guillaume Coter, Rémy Fabry, Liyun He-Guelton, Frédéric Oblé, Bertrand Lebichot, Yann-Aël Le Borgne, Gianluca Bontempi
http://arxiv.org/abs/2107.09323v1
• [cs.LG]VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
http://arxiv.org/abs/2107.08861v2
• [cs.LG]Wave-Informed Matrix Factorization withGlobal Optimality Guarantees
Harsha Vardhan Tetali, Joel B. Harley, Benjamin D. Haeffele
http://arxiv.org/abs/2107.09144v1
• [cs.MA]Rational Verification for Probabilistic Systems
Julian Gutierrez, Lewis Hammond, Anthony Lin, Muhammad Najib, Michael Wooldridge
http://arxiv.org/abs/2107.09119v1
• [cs.NE]Using Shape Constraints for Improving Symbolic Regression Models
Christian Haider, Fabricio Olivetti de França, Bogdan Burlacu, Gabriel Kronberger
http://arxiv.org/abs/2107.09458v1
• [cs.NI]Into Summarization Techniques for IoT Data Discovery Routing
Hieu Tran, Son Nguyen, I-Ling Yen, Farokh Bastani
http://arxiv.org/abs/2107.09558v1
• [cs.RO]A Portable Agricultural Robot for Continuous Apparent Soil ElectricalConductivity Measurements to Improve Irrigation Practices
Merrick Campbell, Keran Ye, Elia Scudiero, Konstantinos Karydis
http://arxiv.org/abs/2107.09219v1
• [cs.RO]Attitude and In-orbit Residual Magnetic Moment Estimation of Small Satellites Using only Magnetometer
Raunak Srivastava, Roshan Sah, Kaushik Das
http://arxiv.org/abs/2107.09257v1
• [cs.RO]Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM
Ziqi Lu, Qiangqiang Huang, Kevin Doherty, John J. Leonard
http://arxiv.org/abs/2107.09265v1
• [cs.RO]Constellation Design of Remote Sensing Small Satellite for Infrastructure Monitoring in India
Roshan Sah, Raunak Srivastava, Kaushik Das
http://arxiv.org/abs/2107.09253v1
• [cs.RO]Learning to Share Autonomy Across Repeated Interaction
Ananth Jonnavittula, Dylan P. Losey
http://arxiv.org/abs/2107.09650v1
• [cs.RO]Ontology-Assisted Generalisation of Robot Action Execution Knowledge
Alex Mitrevski, Paul G. Plöger, Gerhard Lakemeyer
http://arxiv.org/abs/2107.09353v1
• [cs.RO]Reinforcement learning autonomously identifying the source of errors for agents in a group mission
Keishu Utimula, Ken-taro Hayaschi, Kousuke Nakano, Kenta Hongo, Ryo Maezono
http://arxiv.org/abs/2107.09232v1
• [cs.SD]A Real-time Speaker Diarization System Based on Spatial Spectrum
Siqi Zheng, Weilong Huang, Xianliang Wang, Hongbin Suo, Jinwei Feng, Zhijie Yan
http://arxiv.org/abs/2107.09321v1
• [cs.SD]On Prosody Modeling for ASR+TTS based Voice Conversion
Wen-Chin Huang, Tomoki Hayashi, Xinjian Li, Shinji Watanabe, Tomoki Toda
http://arxiv.org/abs/2107.09477v1
• [cs.SD]Sequence-to-Sequence Piano Transcription with Transformers
Curtis Hawthorne, Ian Simon, Rigel Swavely, Ethan Manilow, Jesse Engel
http://arxiv.org/abs/2107.09142v1
• [cs.SE]Multi-objective Test Case Selection Through Linkage Learning-based Crossover
Mitchell Olsthoorn, Annibale Panichella
http://arxiv.org/abs/2107.08454v2
• [cs.SI]Analysis of External Content in the Vaccination Discussion on Twitter
Richard Kuzma, Iain J. Cruickshank, Kathleen M. Carley
http://arxiv.org/abs/2107.09183v1
• [cs.SI]Predicting the 2020 US Presidential Election with Twitter
Michael Caballero
http://arxiv.org/abs/2107.09640v1
• [cs.SI]Proximity in face-to-face interaction is associated with mobile phone communication
Tobias Bornakke, Talayeh Aledavood, Jari Saramäki, Sam G. B. Roberts
http://arxiv.org/abs/2107.08872v2
• [econ.TH]Data Sharing Markets
Mohammad Rasouli, Michael I. Jordan
http://arxiv.org/abs/2107.08630v2
• [eess.AS]SVSNet: An End-to-end Speaker Voice Similarity Assessment Model
Cheng-Hung Hu, Yu-Huai Peng, Junichi Yamagishi, Yu Tsao, Hsin-Min Wang
http://arxiv.org/abs/2107.09392v1
• [eess.AS]Streaming End-to-End ASR based on Blockwise Non-Autoregressive Models
Tianzi Wang, Yuya Fujita, Xuankai Chang, Shinji Watanabe
http://arxiv.org/abs/2107.09428v1
• [eess.IV]A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions
Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Diaz, Karim Lekadir
http://arxiv.org/abs/2107.09543v1
• [eess.IV]Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation
Marius Memmel, Camila Gonzalez, Anirban Mukhopadhyay
http://arxiv.org/abs/2107.08751v2
• [eess.IV]Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT
Gerda Bortsova, Daniel Bos, Florian Dubost, Meike W. Vernooij, M. Kamran Ikram, Gijs van Tulder, Marleen de Bruijne
http://arxiv.org/abs/2107.09442v1
• [eess.IV]Confidence Aware Neural Networks for Skin Cancer Detection
Donya Khaledyan, AmirReza Tajally, Reza Sarkhosh, Afshar Shamsi, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi
http://arxiv.org/abs/2107.09118v1
• [eess.IV]Convolutional module for heart localization and segmentation in MRI
Daniel Lima, Catharine Graves, Marco Gutierrez, Bruno Brandoli, Jose Rodrigues-Jr
http://arxiv.org/abs/2107.09134v1
• [eess.IV]DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H&E whole-slide images
Yoni Schirris, Efstratios Gavves, Iris Nederlof, Hugo Mark Horlings, Jonas Teuwen
http://arxiv.org/abs/2107.09405v1
• [eess.IV]LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging
Thomas Küstner, Jiazhen Pan, Haikun Qi, Gastao Cruz, Christopher Gilliam, Thierry Blu, Bin Yang, Sergios Gatidis, René Botnar, Claudia Prieto
http://arxiv.org/abs/2107.09060v1
• [eess.IV]OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression
Navid Mahmoudian Bidgoli, Roberto G. de A. Azevedo, Thomas Maugey, Aline Roumy, Pascal Frossard
http://arxiv.org/abs/2107.09179v1
• [eess.IV]Protecting Semantic Segmentation Models by Using Block-wise Image Encryption with Secret Key from Unauthorized Access
Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya
http://arxiv.org/abs/2107.09362v1
• [eess.IV]Quality and Complexity Assessment of Learning-Based Image Compression Solutions
João Dick, Brunno Abreu, Mateus Grellert, Sergio Bampi
http://arxiv.org/abs/2107.09136v1
• [eess.IV]SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution
Benjamin Billot, Douglas N. Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Juan Eugenio Iglesias
http://arxiv.org/abs/2107.09559v1
• [eess.SP]Accelerating Edge Intelligence via Integrated Sensing and Communication
Tong Zhang, Shuai Wang, Guoliang Li, Fan Liu, Guangxu Zhu, Rui Wang
http://arxiv.org/abs/2107.09574v1
• [eess.SP]Explicit Calibration of mmWave Phased Arrays with Phase Dependent Errors
Joyson Sebastian, Pranav Dayal, Kee-Bong Song, Walid AliAhmad
http://arxiv.org/abs/2107.09561v1
• [eess.SP]Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild
Han Yu, Thomas Vaessen, Inez Myin-Germeys, Akane Sano
http://arxiv.org/abs/2107.09510v1
• [eess.SY]A DoE-based approach for the implementation of structural surrogate models in the early stage design of box-wing aircraft
Vittorio Cipolla, Vincenzo Binante, Karim Abu Salem, Giuseppe Palaia, Davide Zanetti
http://arxiv.org/abs/2107.07865v2
• [math.AT]Entropy as a Topological Operad Derivation
Tai-Danae Bradley
http://arxiv.org/abs/2107.09581v1
• [math.NA]Eigenvector Centrality and Uniform Dominant Eigenvalue of Graph Components
Collins Anguzua, Christopher Engströmb, John Mango Magero, Henry Kasumbaa, Sergei Silvestrov, Benard Abola
http://arxiv.org/abs/2107.09137v1
• [math.NA]Positively Weighted Kernel Quadrature via Subsampling
Satoshi Hayakawa, Harald Oberhauser, Terry Lyons
http://arxiv.org/abs/2107.09597v1
• [math.OA]Quantum smooth uncertainty principles for von Neumann bi-algebras
Linzhe Huang, Zhengwei Liu, Jinsong Wu
http://arxiv.org/abs/2107.09057v1
• [math.OC]Asymptotic Escape of Spurious Critical Points on the Low-rank Matrix Manifold
Thomas Y. Hou, Zhenzhen Li, Ziyun Zhang
http://arxiv.org/abs/2107.09207v1
• [math.ST]Directional testing for high-dimensional multivariate normal distributions
Caizhu Huang, Claudia Di Caterina, Nicola Sartori
http://arxiv.org/abs/2107.09418v1
• [math.ST]Estimation of a regression function on a manifold by fully connected deep neural networks
Michael Kohler, Sophie Langer, Ulrich Reif
http://arxiv.org/abs/2107.09532v1
• [math.ST]Generalized maximum likelihood estimation of the mean of parameters of mixtures, with applications to sampling
Eitan Greenshtein, Ya’acov Ritov
http://arxiv.org/abs/2107.09296v1
• [math.ST]Multi-Normex Distributions for the Sum of Random Vectors. Rates of Convergence
Marie Kratz, Evgeny Prokopenko
http://arxiv.org/abs/2107.09409v1
• [math.ST]On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors
Arnab Auddy, Ming Yuan
http://arxiv.org/abs/2107.09660v1
• [math.ST]On some information-theoretic aspects of non-linear statistical inverse problems
Richard Nickl, Gabriel Paternain
http://arxiv.org/abs/2107.09488v1
• [math.ST]Record-Based Transmuted Generalized Linear Exponential Distribution with Increasing, Decreasing and Bathtub Shaped Failure Rates
M. Arshad, M. Khetan, V. Kumar, A. K. Pathak
http://arxiv.org/abs/2107.09316v1
• [math.ST]The Completion of Covariance Kernels
Kartik G. Waghmare, Victor M. Panaretos
http://arxiv.org/abs/2107.07350v2
• [math.ST]The Smoking Gun: Statistical Theory Improves Neural Network Estimates
Alina Braun, Michael Kohler, Sophie Langer, Harro Walk
http://arxiv.org/abs/2107.09550v1
• [physics.flu-dyn]Hybrid neural network reduced order modelling for turbulent flows with geometric parameters
Matteo Zancanaro, Markus Mrosek, Giovanni Stabile, Carsten Othmer, Gianluigi Rozza
http://arxiv.org/abs/2107.09591v1
• [physics.soc-ph]On node ranking in graphs
Ekaterina Dudkina, Michelangelo Bin, Jane Breen, Emanuele Crisostomi, Pietro Ferraro, Steve Kirkland, Jakub Marecek, Roderick Murray-Smith, Thomas Parisini, Lewi Stone, Serife Yilmaz, Robert Shorten
http://arxiv.org/abs/2107.09487v1
• [q-fin.CP]AI in Finance: Challenges, Techniques and Opportunities
Longbing Cao
http://arxiv.org/abs/2107.09051v1
• [q-fin.ST]Stock price prediction using BERT and GAN
Priyank Sonkiya, Vikas Bajpai, Anukriti Bansal
http://arxiv.org/abs/2107.09055v1
• [q-fin.TR]Order Book Queue Hawkes-Markovian Modeling
Philip Protter, Qianfan Wu, Shihao Yang
http://arxiv.org/abs/2107.09629v1
• [quant-ph]Sample Complexity of Learning Quantum Circuits
Haoyuan Cai, Qi Ye, Dong-Ling Deng
http://arxiv.org/abs/2107.09078v1
• [stat.AP]A Comparison of Value-Added Models for School Accountability
George Leckie, Lucy Prior
http://arxiv.org/abs/2107.09410v1
• [stat.AP]A Non-ergodic Spectral Acceleration Ground Motion Model for California Developed with Random Vibration Theory
Grigorios Lavrentiadis, Norman A. Abrahamson
http://arxiv.org/abs/2107.09125v1
• [stat.AP]BICNet: A Bayesian Approach for Estimating Task Effects on Intrinsic Connectivity Networks in fMRI Data
Meini Tang, Chee-Ming Ting, Hernando Ombao
http://arxiv.org/abs/2107.09160v1
• [stat.AP]Pooled testing to isolate infected individuals
Matthew Aldridge
http://arxiv.org/abs/2107.09633v1
• [stat.AP]Study of the Parent-of-origin effect in monogenic diseases with variable age of onset. Application on ATTRv
Flora Alarcon, Violaine Planté-Bordeneuve, Gregory Nuel
http://arxiv.org/abs/2107.09365v1
• [stat.CO]JAGS, NIMBLE, Stan: a detailed comparison among Bayesian MCMC software
Mario Beraha, Daniele Falco, Alessandra Guglielmi
http://arxiv.org/abs/2107.09357v1
• [stat.ME]Accounting for spatial confounding in epidemiological studies with individual-level exposures: An exposure-penalized spline approach
Jennifer F. Bobb, Maricela F. Cruz, Stephen J. Mooney, Adam Drewnowski, David Arterburn, Andrea J. Cook
http://arxiv.org/abs/2107.08072v1
• [stat.ME]Adaptively Sampling via Regional Variance-Based Sensitivities
Brian W. Bush, Joanne Wendelberger, Rebecca Hanes
http://arxiv.org/abs/2107.09538v1
• [stat.ME]Conditional Wasserstein Barycenters and Interpolation/Extrapolation of Distributions
Jianing Fan, Hans-Georg Müller
http://arxiv.org/abs/2107.09218v1
• [stat.ME]Diagnosis of model-structural errors with a sliding time-window Bayesian analysis
Han-Fang Hsueh, Anneli Guthke, Thomas Wöhling, Wolfgang Nowak
http://arxiv.org/abs/2107.09399v1
• [stat.ME]Inference for Change Points in High Dimensional Mean Shift Models
Abhishek Kaul, George Michailidis
http://arxiv.org/abs/2107.09150v1
• [stat.ME]Kpop: A kernel balancing approach for reducing specification assumptions in survey weighting
Erin Hartman, Chad Hazlett, Ciara Sterbenz
http://arxiv.org/abs/2107.08075v1
• [stat.ME]Moving towards practical user-friendly synthesis: Scalable synthetic data methods for large confidential administrative databases using saturated count models
James Jackson, Robin Mitra, Brian Francis, Iain Dove
http://arxiv.org/abs/2107.08062v1
• [stat.ME]Sparse composite likelihood selection
Claudia Di Caterina, Davide Ferrari
http://arxiv.org/abs/2107.09586v1
• [stat.ML]A Bayesian Approach to Invariant Deep Neural Networks
Nikolaos Mourdoukoutas, Marco Federici, Georges Pantalos, Mark van der Wilk, Vincent Fortuin
http://arxiv.org/abs/2107.09301v1
• [stat.ML]Adaptive wavelet distillation from neural networks through interpretations
Wooseok Ha, Chandan Singh, Francois Lanusse, Eli Song, Song Dang, Kangmin He, Srigokul Upadhyayula, Bin Yu
http://arxiv.org/abs/2107.09145v1
• [stat.ML]An induction proof of the backpropagation algorithm in matrix notation
Dirk Ostwald, Franziska Usée
http://arxiv.org/abs/2107.09384v1
• [stat.ML]Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression
William T. Stephenson, Zachary Frangella, Madeleine Udell, Tamara Broderick
http://arxiv.org/abs/2107.09194v1
• [stat.ML]Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection
Frusque Gaetan, Michau Gabriel, Fink Olga
http://arxiv.org/abs/2107.09519v1
• [stat.ML]High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
Liang Ding, Rui Tuo, Xiaowei Zhang
http://arxiv.org/abs/2107.08595v2
• [stat.ML]Reward-Weighted Regression Converges to a Global Optimum
Miroslav Štrupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber
http://arxiv.org/abs/2107.09088v1