astro-ph.IM - 仪器仪表和天体物理学方法

    astro-ph.SR - 太阳和天体物理学恒星 cond-mat.mtrl-sci - 材料科学 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.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.EM - 计量经济学 econ.GN - 一般经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-ex - 高能物理实验 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 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.IM]Using Artificial Intelligence to Shed Light on the Star of Biscuits: The Jaffa Cake
    • [astro-ph.SR]Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty Quantification
    • [cond-mat.mtrl-sci]A probabilistic deep learning approach to automate the interpretation of multi-phase diffraction spectra
    • [cs.AI]Digital Twin Based Disaster Management System Proposal: DT-DMS
    • [cs.AI]On AO*, Proof Number Search and Minimax Search
    • [cs.AI]Probabilistic Analogical Mapping with Semantic Relation Networks
    • [cs.AI]pH-RL: A personalization architecture to bring reinforcement learning to health practice
    • [cs.CL]A Neighbourhood Framework for Resource-Lean Content Flagging
    • [cs.CL]A study of latent monotonic attention variants
    • [cs.CL]Augmenting Poetry Composition with Verse by Verse
    • [cs.CL]CloneBot: Personalized Dialogue-Response Predictions
    • [cs.CL]Contextual Text Embeddings for Twi
    • [cs.CL]Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey
    • [cs.CL]Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction
    • [cs.CL]Divide and Rule: Training Context-Aware Multi-Encoder Translation Models with Little Resources
    • [cs.CL]English-Twi Parallel Corpus for Machine Translation
    • [cs.CL]Few-shot learning through contextual data augmentation
    • [cs.CL]Joint Khmer Word Segmentation and Part-of-Speech Tagging Using Deep Learning
    • [cs.CL]Leveraging Neural Machine Translation for Word Alignment
    • [cs.CL]Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence Training
    • [cs.CL]Multiple-hypothesis CTC-based semi-supervised adaptation of end-to-end speech recognition
    • [cs.CL]No Keyword is an Island: In search of covert associations
    • [cs.CL]Put Chatbot into Its Interlocutor’s Shoes: New Framework to Learn Chatbot Responding with Intention
    • [cs.CL]Self-Supervised Euphemism Detection and Identification for Content Moderation
    • [cs.CL]The User behind the Abuse: A Position on Ethics and Explainability
    • [cs.CL]UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language
    • [cs.CR]MOAI: A methodology for evaluating the impact of indoor airflow in the transmission of COVID-19
    • [cs.CR]Reliable Detection of Compressed and Encrypted Data
    • [cs.CV]A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection
    • [cs.CV]An effective and friendly tool for seed image analysis
    • [cs.CV]ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
    • [cs.CV]Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation
    • [cs.CV]CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields
    • [cs.CV]Camouflaged Instance Segmentation: Dataset and Benchmark Suite
    • [cs.CV]Channel-Based Attention for LCC Using Sentinel-2 Time Series
    • [cs.CV]Channel-Based Attention for LCC Using Sentinel-2 Time Series
    • [cs.CV]Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification
    • [cs.CV]Convolutional Hough Matching Networks
    • [cs.CV]DA-DETR: Domain Adaptive Detection Transformer by Hybrid Attention
    • [cs.CV]DAP: Detection-Aware Pre-training with Weak Supervision
    • [cs.CV]DCVNet: Dilated Cost Volume Networks for Fast Optical Flow
    • [cs.CV]DER: Dynamically Expandable Representation for Class Incremental Learning
    • [cs.CV]Deep Image Harmonization by Bridging the Reality Gap
    • [cs.CV]Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI
    • [cs.CV]Deep adaptive fuzzy clustering for evolutionary unsupervised representation learning
    • [cs.CV]Denoise and Contrast for Category Agnostic Shape Completion
    • [cs.CV]Dogfight: Detecting Drones from Drones Videos
    • [cs.CV]Dual Contrastive Loss and Attention for GANs
    • [cs.CV]DynOcc: Learning Single-View Depth from Dynamic Occlusion Cues
    • [cs.CV]Efficient Large-Scale Face Clustering Using an Online Mixture of Gaussians
    • [cs.CV]Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding
    • [cs.CV]Evaluation of Multimodal Semantic Segmentation using RGB-D Data
    • [cs.CV]Exploiting Invariance in Training Deep Neural Networks
    • [cs.CV]FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
    • [cs.CV]Facial Masks and Soft-Biometrics: Leveraging Face Recognition CNNs for Age and Gender Prediction on Mobile Ocular Images
    • [cs.CV]Facial expression and attributes recognition based on multi-task learning of lightweight neural networks
    • [cs.CV]Few-Data Guided Learning Upon End-to-End Point Cloud Network for 3D Face Recognition
    • [cs.CV]Fixing the Teacher-Student Knowledge Discrepancy in Distillation
    • [cs.CV]Generating Multi-scale Maps from Remote Sensing Images via Series Generative Adversarial Networks
    • [cs.CV]Geometric Unsupervised Domain Adaptation for Semantic Segmentation
    • [cs.CV]Going deeper with Image Transformers
    • [cs.CV]GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
    • [cs.CV]Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors
    • [cs.CV]Human Perception Modeling for Automatic Natural Image Matting
    • [cs.CV]Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections
    • [cs.CV]Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition
    • [cs.CV]Knowledge Distillation By Sparse Representation Matching
    • [cs.CV]Layout-Guided Novel View Synthesis from a Single Indoor Panorama
    • [cs.CV]Learning Camera Localization via Dense Scene Matching
    • [cs.CV]Learning Spatio-Temporal Transformer for Visual Tracking
    • [cs.CV]Learning by Aligning Videos in Time
    • [cs.CV]Learning with Memory-based Virtual Classes for Deep Metric Learning
    • [cs.CV]Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data
    • [cs.CV]Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation
    • [cs.CV]Near-field Sensing Architecture for Low-Speed Vehicle Automation using a Surround-view Fisheye Camera System
    • [cs.CV]Neural Response Interpretation through the Lens of Critical Pathways
    • [cs.CV]Neural Surface Maps
    • [cs.CV]Online Learning of a Probabilistic and Adaptive Scene Representation
    • [cs.CV]PAUL: Procrustean Autoencoder for Unsupervised Lifting
    • [cs.CV]Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
    • [cs.CV]Rainbow Memory: Continual Learning with a Memory of Diverse Samples
    • [cs.CV]Rank-One Prior: Toward Real-Time Scene Recovery
    • [cs.CV]ReMix: Towards Image-to-Image Translation with Limited Data
    • [cs.CV]Rectification-based Knowledge Retention for Continual Learning
    • [cs.CV]Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective
    • [cs.CV]Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes
    • [cs.CV]Robust Facial Expression Recognition with Convolutional Visual Transformers
    • [cs.CV]Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity
    • [cs.CV]SOON: Scenario Oriented Object Navigation with Graph-based Exploration
    • [cs.CV]SRA-LSTM: Social Relationship Attention LSTM for Human Trajectory Prediction
    • [cs.CV]Scale-aware Automatic Augmentation for Object Detection
    • [cs.CV]Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
    • [cs.CV]Self-Regression Learning for Blind Hyperspectral Image Fusion Without Label
    • [cs.CV]Semi-supervised Synthesis of High-Resolution Editable Textures for 3D Humans
    • [cs.CV]SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification
    • [cs.CV]Smart Scribbles for Image Mating
    • [cs.CV]Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion
    • [cs.CV]Spatial Content Alignment For Pose Transfer
    • [cs.CV]StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery
    • [cs.CV]The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation
    • [cs.CV]Topo-boundary: A Benchmark Dataset on Topological Road-boundary Detection Using Aerial Images for Autonomous Driving
    • [cs.CV]Topology-Preserving 3D Image Segmentation Based On Hyperelastic Regularization
    • [cs.CV]Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark
    • [cs.CV]Unpaired Single-Image Depth Synthesis with cycle-consistent Wasserstein GANs
    • [cs.CV]Unsupervised Disentanglement of Linear-Encoded Facial Semantics
    • [cs.CV]Using depth information and colour space variations for improving outdoor robustness for instance segmentation of cabbage
    • [cs.CV]VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization
    • [cs.CV]Video Exploration via Video-Specific Autoencoders
    • [cs.CV]Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks
    • [cs.CV]iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous Driving
    • [cs.CY]A Survey of Operations Research and Analytics Literature Related to Anti-Human Trafficking
    • [cs.CY]Mitigating Bias in Algorithmic Systems: A Fish-Eye View of Problems and Solutions Across Domains
    • [cs.CY]Personal Data Gentrification
    • [cs.CY]Tracking Knowledge Propagation Across Wikipedia Languages
    • [cs.DC]Knowledge co-creation in the OrganiCity: Data annotation with JAMAiCA
    • [cs.DC]Managing smartphone crowdsensing campaigns through the Organicity smart city platform
    • [cs.DC]Scheduling Applications on Containers Based on Dependency of The Applications
    • [cs.IR]A Systematic Literature Review on Process-Aware Recommender Systems
    • [cs.IR]An In-depth Analysis of Passage-Level Label Transfer for Contextual Document Ranking
    • [cs.IR]Text Classification Using Hybrid Machine Learning Algorithms on Big Data
    • [cs.IT]今日学术视野(2021.4.2) - 图1-Geodesical Skew Divergence
    • [cs.IT]A genuinely natural information measure
    • [cs.IT]An Information-Theoretic Perspective on Successive Cancellation List Decoding and Polar Code Design
    • [cs.IT]Applications of Common Information to Computing Functions
    • [cs.IT]Blockwise Phase Rotation-Aided Analog Transmit Beamforming for 5G mmWave Systems
    • [cs.IT]Dynamic NOMA-Based Computation Offloading in Vehicular Platoons
    • [cs.IT]Intelligent Reflecting Surface for Wireless Communication Security and Privacy
    • [cs.IT]Lifted MDS Codes over Finite Fields
    • [cs.IT]Millimeter Wave and Sub-Terahertz Spatial Statistical Channel Model for an Indoor Office Building
    • [cs.IT]Novel Outage-Aware NOMA Protocol for Secrecy Fairness Maximization Among Untrusted Users
    • [cs.IT]On Strong Data-Processing and Majorization Inequalities with Applications to Coding Problems
    • [cs.IT]Robust Beamforming Design for Covert Communications
    • [cs.LG]A New Algorithm for Discrete-Time Parameter Estimation
    • [cs.LG]Attention, please! A survey of Neural Attention Models in Deep Learning
    • [cs.LG]Benchmarks for Deep Off-Policy Evaluation
    • [cs.LG]Binarized Neural Networks for Resource-Constrained On-Device Gait Identification
    • [cs.LG]Bit-Mixer: Mixed-precision networks with runtime bit-width selection
    • [cs.LG]CDiNN -Convex Difference Neural Networks
    • [cs.LG]Collaborative Label Correction via Entropy Thresholding
    • [cs.LG]Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices
    • [cs.LG]Continuous Weight Balancing
    • [cs.LG]CrowdTeacher: Robust Co-teaching with Noisy Answers & Sample-specific Perturbations for Tabular Data
    • [cs.LG]Empirically explaining SGD from a line search perspective
    • [cs.LG]Energy Efficient Edge Computing: When Lyapunov Meets Distributed Reinforcement Learning
    • [cs.LG]Fast Certified Robust Training via Better Initialization and Shorter Warmup
    • [cs.LG]Identifying Co-Adaptation of Algorithmic and Implementational Innovations in Deep Reinforcement Learning: A Taxonomy and Case Study of Inference-bas
    76d3
    ed Algorithms
    • [cs.LG]Individually Fair Gradient Boosting
    • [cs.LG]Learning Robust Feedback Policies from Demonstrations
    • [cs.LG]Multi-Source Causal Inference Using Control Variates
    • [cs.LG]Neural Transformation Learning for Deep Anomaly Detection Beyond Images
    • [cs.LG]Neuro-Symbolic Constraint Programming for Structured Prediction
    • [cs.LG]OLIVAW: Mastering Othello with neither Humans nor a Penny
    • [cs.LG]On the Origin of Species of Self-Supervised Learning
    • [cs.LG]Parameterized Hypercomplex Graph Neural Networks for Graph Classification
    • [cs.LG]Perun: Secure Multi-Stakeholder Machine Learning Framework with GPU Support
    • [cs.LG]Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
    • [cs.LG]QUEST: Queue Simulation for Content Moderation at Scale
    • [cs.LG]Research of Damped Newton Stochastic Gradient Descent Method for Neural Network Training
    • [cs.LG]Robustness Certification for Point Cloud Models
    • [cs.LG]Spatiotemporal Data Mining: A Survey on Challenges and Open Problems
    • [cs.LG]VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance
    • [cs.NE]A Framework for Knowledge Integrated Evolutionary Algorithms
    • [cs.NE]A Signal-Centric Perspective on the Evolution of Symbolic Communication
    • [cs.RO]A Kinematic Model for Trajectory Prediction in General Highway Scenarios
    • [cs.RO]An Integrated Mechanical Intelligence and Control Approach Towards Flight Control of Aerobat
    • [cs.RO]Causal Reasoning in Simulation for Structure and Transfer Learning of Robot Manipulation Policies
    • [cs.RO]Design and Control of a Midair Reconfigurable Quadcopter using Unactuated Hinges
    • [cs.RO]Enhancing human bodies with extra robotic arms and fingers: The Neural Resource Allocation Problem
    • [cs.RO]Ergodic imitation: Learning from what to do and what not to do
    • [cs.RO]Graph-Based Topological Exploration Planning in Large-Scale 3D Environments
    • [cs.RO]Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management
    • [cs.RO]Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery
    • [cs.RO]Learning Generalizable Robotic Reward Functions from “In-The-Wild” Human Videos
    • [cs.RO]Robust Trajectory Tracking Error Model-Based Predictive Control for Unmanned Ground Vehicles
    • [cs.RO]Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections
    • [cs.RO]Simultaneous Navigation and Construction Benchmarking Environments
    • [cs.SD]Near field Acoustic Holography on arbitrary shapes using Convolutional Neural Network
    • [cs.SD]Q-ASR: Integer-only Zero-shot Quantization for Efficient Speech Recognition
    • [cs.SE]Exploring Plausible Patches Using Source Code Embeddings in JavaScript
    • [cs.SE]Mining DEV for social and technical insights about software development
    • [cs.SI]Bidirectional group random walk based network embedding for asymmetric proximity
    • [econ.EM]Dimension reduction of open-high-low-close data in candlestick chart based on pseudo-PCA
    • [econ.GN]Solving Heterogeneous General Equilibrium Economic Models with Deep Reinforcement Learning
    • [eess.IV]A Novel Deep ML Architecture by Integrating Visual Simultaneous Localization and Mapping (vSLAM) into Mask R-CNN for Real-time Surgical Video Analysis
    • [eess.IV]CNN-based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI
    • [eess.IV]Classification of Hematoma: Joint Learning of Semantic Segmentation and Classification
    • [eess.IV]Differentiable Deconvolution for Improved Stroke Perfusion Analysis
    • [eess.IV]HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
    • [eess.IV]Learning Scalable 今日学术视野(2021.4.2) - 图2-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression
    • [eess.IV]Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging
    • [eess.IV]Training robust deep learning models for medical imaging tasks with spectral decoupling
    • [eess.SP]Federated Learning: A Signal Processing Perspective
    • [eess.SY]Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers
    • [eess.SY]State-Dependent Processing in Payment Channel Networks for Throughput Optimization
    • [hep-ex]Charged particle tracking via edge-classifying interaction networks
    • [math.OC]Revisiting Bayesian Optimization in the light of the COCO benchmark
    • [math.PR]Sharp and Simple Bounds for the raw Moments of the Binomial and Poisson Distributions
    • [math.ST]Bayesian estimation of nonlinear Hawkes proces
    • [math.ST]Simpson’s Paradox: A Singularity of Statistical and Inductive Inference
    • [physics.comp-ph]XY Neural Networks
    • [physics.soc-ph]Detecting informative higher-order interactions in statistically validated hypergraphs
    • [quant-ph]Optimized quantum f-divergences
    • [quant-ph]Quantum Optimization for Training Quantum Neural Networks
    • [quant-ph]Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry
    • [quant-ph]Tossing Quantum Coins and Dice
    • [quant-ph]Towards understanding the power of quantum kernels in the NISQ era
    • [stat.AP]Can really the center lane have advantages for swimmers?
    • [stat.AP]Mobility Functional Areas and COVID-19 Spread
    • [stat.AP]Representative endowments and uniform Gini orderings of multi-attribute inequality
    • [stat.CO]pivmet: Pivotal Methods for Bayesian Relabelling and k-Means Clustering
    • [stat.ME]Continuous Latent Position Models for Instantaneous Interactions
    • [stat.ME]On Computationally-Scalable Spatio-Temporal Regression Clustering of Precipitation Threshold Excesses
    • [stat.ME]Spectral Dependence
    • [stat.ME]The Expectation-Maximization Algorithm for Continuous-time Hidden Markov Models
    • [stat.ML]Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability
    • [stat.ML]High-Dimensional Uncertainty Quantification via Rank- and Sample-Adaptive Tensor Regression
    • [stat.ML]Statistical inference for individual fairness
    • [stat.ML]Trees, Forests, Chickens, and Eggs: When and Why to Prune Trees in a Random Forest
    • [stat.ML]Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications
    • [stat.ML]Universal Prediction Band via Semi-Definite Programming
    • [stat.ML]Using activation histograms to bound the number of affine regions in ReLU feed-forward neural networks

    ·····································

    • [astro-ph.IM]Using Artificial Intelligence to Shed Light on the Star of Biscuits: The Jaffa Cake
    H. F. Stevance
    http://arxiv.org/abs/2103.16575v1

    • [astro-ph.SR]Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty Quantification
    Richard E. L. Higgins, David F. Fouhey, Dichang Zhang, Spiro K. Antiochos, Graham Barnes, Todd Hoeksema, KD Leka, Yang Liu Peter W. Schuck, Tamas I. Gombosi
    http://arxiv.org/abs/2103.17273v1

    • [cond-mat.mtrl-sci]A probabilistic deep learning approach to automate the interpretation of multi-phase diffraction spectra
    Nathan J. Szymanski, Christopher J. Bartel, Yan Zeng, Qingsong Tu, Gerbrand Ceder
    http://arxiv.org/abs/2103.16664v1

    • [cs.AI]Digital Twin Based Disaster Management System Proposal: DT-DMS
    Özgür Dogan, Oguzhan Sahin, Enis Karaarslan
    http://arxiv.org/abs/2103.17245v1

    • [cs.AI]**On AO, Proof Number Search and Minimax Search
    Chao Gao
    http://arxiv.org/abs/2103.16692v1

    • [cs.AI]Probabilistic Analogical Mapping with Semantic Relation Networks
    Hongjing Lu, Nicholas Ichien, Keith J. Holyoak
    http://arxiv.org/abs/2103.16704v1

    • [cs.AI]pH-RL: A personalization architecture to bring reinforcement learning to health practice
    Ali el Hassouni, Mark Hoogendoorn, Marketa Ciharova, Annet Kleiboer, Khadicha Amarti, Vesa Muhonen, Heleen Riper, A. E. Eiben
    http://arxiv.org/abs/2103.15908v2

    • [cs.CL]A Neighbourhood Framework for Resource-Lean Content Flagging
    Sheikh Muhammad Sarwar, Dimitrina Zlatkova, Momchil Hardalov, Yoan Dinkov, Isabelle Augenstein, Preslav Nakov
    http://arxiv.org/abs/2103.17055v1

    • [cs.CL]A study of latent monotonic attention variants
    Albert Zeyer, Ralf Schlüter, Hermann Ney
    http://arxiv.org/abs/2103.16710v1

    • [cs.CL]Augmenting Poetry Composition with Verse by Verse
    David Uthus, Maria Voitovich, R. J. Mical
    http://arxiv.org/abs/2103.17205v1

    • [cs.CL]CloneBot: Personalized Dialogue-Response Predictions
    Tyler Weitzman, Hoon Pyo, Jeon
    http://arxiv.org/abs/2103.16750v1

    • [cs.CL]Contextual Text Embeddings for Twi
    Paul Azunre, Salomey Osei, Salomey Addo, Lawrence Asamoah Adu-Gyamfi, Stephen Moore, Bernard Adabankah, Bernard Opoku, Clara Asare-Nyarko, Samuel Nyarko, Cynthia Amoaba, Esther Dansoa Appiah, Felix Akwerh, Richard Nii Lante Lawson, Joel Budu, Emmanuel Debrah, Nana Boateng, Wisdom Ofori, Edwin Buabeng-Munkoh, Franklin Adjei, Isaac Kojo Essel Ampomah, Joseph Otoo, Reindorf Borkor, Standylove Birago Mensah, Lucien Mensah, Mark Amoako Marcel, Anokye Acheampong Amponsah, James Ben Hayfron-Acquah
    http://arxiv.org/abs/2103.15963v2

    • [cs.CL]Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey
    Tapas Nayak, Navonil Majumder, Pawan Goyal, Soujanya Poria
    http://arxiv.org/abs/2103.16929v1

    • [cs.CL]Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction
    Marc Hübner, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig
    http://arxiv.org/abs/2103.17090v1

    • [cs.CL]Divide and Rule: Training Context-Aware Multi-Encoder Translation Models with Little Resources
    Lorenzo Lupo, Marco Dinarelli, Laurent Besacier
    http://arxiv.org/abs/2103.17151v1

    • [cs.CL]English-Twi Parallel Corpus for Machine Translation
    Paul Azunre, Salomey Osei, Salomey Addo, Lawrence Asamoah Adu-Gyamfi, Stephen Moore, Bernard Adabankah, Bernard Opoku, Clara Asare-Nyarko, Samuel Nyarko, Cynthia Amoaba, Esther Dansoa Appiah, Felix Akwerh, Richard Nii Lante Lawson, Joel Budu, Emmanuel Debrah, Nana Boateng, Wisdom Ofori, Edwin Buabeng-Munkoh, Franklin Adjei, Isaac Kojo Essel Ampomah, Joseph Otoo, Reindorf Borkor, Standylove Birago Mensah, Lucien Mensah, Mark Amoako Marcel, Anokye Acheampong Amponsah, James Ben Hayfron-Acquah
    http://arxiv.org/abs/2103.15625v2

    • [cs.CL]Few-shot learning through contextual data augmentation
    Farid Arthaud, Rachel Bawden, Alexandra Birch
    http://arxiv.org/abs/2103.16911v1

    • [cs.CL]Joint Khmer Word Segmentation and Part-of-Speech Tagging Using Deep Learning
    Rina Buoy, Nguonly Taing, Sokchea Kor
    http://arxiv.org/abs/2103.16801v1

    • [cs.CL]Leveraging Neural Machine Translation for Word Alignment
    Vilém Zouhar, Daria Pylypenko
    http://arxiv.org/abs/2103.17250v1

    • [cs.CL]Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence Training
    Kun Zhou, Berrak Sisman, Haizhou Li
    http://arxiv.org/abs/2103.16809v1

    • [cs.CL]Multiple-hypothesis CTC-based semi-supervised adaptation of end-to-end speech recognition
    Cong-Thanh Do, Rama Doddipatla, Thomas Hain
    http://arxiv.org/abs/2103.15515v2

    • [cs.CL]No Keyword is an Island: In search of covert associations
    Václav Cvrček, Masako Ueda Fidler
    http://arxiv.org/abs/2103.17114v1

    • [cs.CL]Put Chatbot into Its Interlocutor’s Shoes: New Framework to Learn Chatbot Responding with Intention
    Hsuan Su, Jiun-Hao Jhan, Fan-yun Sun, Saurav Sahav, Hung-yi Lee
    http://arxiv.org/abs/2103.16429v2

    • [cs.CL]Self-Supervised Euphemism Detection and Identification for Content Moderation
    Wanzheng Zhu, Hongyu Gong, Rohan Bansal, Zachary Weinberg, Nicolas Christin, Giulia Fanti, Suma Bhat
    http://arxiv.org/abs/2103.16808v1

    • [cs.CL]The User behind the Abuse: A Position on Ethics and Explainability
    Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
    http://arxiv.org/abs/2103.17191v1

    • [cs.CL]UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language
    Oleksiy Syvokon, Olena Nahorna
    http://arxiv.org/abs/2103.16997v1

    • [cs.CR]MOAI: A methodology for evaluating the impact of indoor airflow in the transmission of COVID-19
    Axel Oehmichen, Florian Guitton, Cedric Wahl, Bertrand Foing, Damian Tziamtzis, Yike Guo
    http://arxiv.org/abs/2103.17096v1

    • [cs.CR]Reliable Detection of Compressed and Encrypted Data
    Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini
    http://arxiv.org/abs/2103.17059v1

    • [cs.CV]A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection
    Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Ngai-Man Cheung
    http://arxiv.org/abs/2103.17195v1

    • [cs.CV]An effective and friendly tool for seed image analysis
    Andrea Loddo, Cecilia Di Ruberto, A. M. P. G. Vale, Mariano Ucchesu, J. M. Soares, Gianluigi Bacchetta
    http://arxiv.org/abs/2103.17213v1

    • [cs.CV]ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
    Jie An, Siyu Huang, Yibing Song, Dejing Dou, Wei Liu, Jiebo Luo
    http://arxiv.org/abs/2103.16877v1

    • [cs.CV]Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation
    Jou Won Song, Kyeongbo Kong, Ye In Park, Suk-Ju Kang
    http://arxiv.org/abs/2103.16851v1

    • [cs.CV]CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields
    Michael Niemeyer, Andreas Geiger
    http://arxiv.org/abs/2103.17269v1

    • [cs.CV]Camouflaged Instance Segmentation: Dataset and Benchmark Suite
    Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen, Khanh-Duy Nguyen, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen
    http://arxiv.org/abs/2103.17123v1

    • [cs.CV]Channel-Based Attention for LCC Using Sentinel-2 Time Series
    Hermann Courteille, A. Benoît, N Méger, A Atto, D. Ienco
    http://arxiv.org/abs/2103.16836v1

    • [cs.CV]Channel-Based Attention for LCC Using Sentinel-2 Time Series
    Hermann Courteille, A. Benoît, N Méger, A Atto, D. Ienco
    http://arxiv.org/abs/org/abs/2103.16836v1

    • [cs.CV]Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification
    Alexis Perakis, Ali Gorji, Samriddhi Jain, Krishna Chaitanya, Simone Rizza, Ender Konukoglu
    http://arxiv.org/abs/2103.16670v1

    • [cs.CV]Convolutional Hough Matching Networks
    Juhong Min, Minsu Cho
    http://arxiv.org/abs/2103.16831v1

    • [cs.CV]DA-DETR: Domain Adaptive Detection Transformer by Hybrid Attention
    Jingyi Zhang, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Shijian Lu
    http://arxiv.org/abs/2103.17084v1

    • [cs.CV]DAP: Detection-Aware Pre-training with Weak Supervision
    Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang
    http://arxiv.org/abs/2103.16651v1

    • [cs.CV]DCVNet: Dilated Cost Volume Networks for Fast Optical Flow
    Huaizu Jiang, Erik Learned-Miller
    http://arxiv.org/abs/2103.17271v1

    • [cs.CV]DER: Dynamically Expandable Representation for Class Incremental Learning
    Shipeng Yan, Jiangwei Xie, Xuming He
    http://arxiv.org/abs/2103.16788v1

    • [cs.CV]Deep Image Harmonization by Bridging the Reality Gap
    Wenyan Cong, Junyan Cao, Li Niu, Jianfu Zhang, Xuesong Gao, Zhiwei Tang, Liqing Zhang
    http://arxiv.org/abs/2103.17104v1

    • [cs.CV]Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI
    Xinwen Liu, Jing Wang, Fangfang Tang, Shekhar S. Chandra, Feng Liu, Stuart Crozier
    http://arxiv.org/abs/2103.16744v1

    • [cs.CV]Deep adaptive fuzzy clustering for evolutionary unsupervised representation learning
    Dayu Tan, Zheng Huang, Xin Peng, Weimin Zhong, Vladimir Mahalec
    http://arxiv.org/abs/2103.17086v1

    • [cs.CV]Denoise and Contrast for Category Agnostic Shape Completion
    Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi
    http://arxiv.org/abs/2103.16671v1

    • [cs.CV]Dogfight: Detecting Drones from Drones Videos
    Muhammad Waseem Ashraf, Waqas Sultani, Mubarak Shah
    http://arxiv.org/abs/2103.17242v1

    • [cs.CV]Dual Contrastive Loss and Attention for GANs
    Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz
    http://arxiv.org/abs/2103.16748v1

    • [cs.CV]DynOcc: Learning Single-View Depth from Dynamic Occlusion Cues
    Yifan Wang, Linjie Luo, Xiaohui Shen, Xing Mei
    http://arxiv.org/abs/2103.16706v1

    • [cs.CV]Efficient Large-Scale Face Clustering Using an Online Mixture of Gaussians
    David Montero, Naiara Aginako, Basilio Sierra, Marcos Nieto
    http://arxiv.org/abs/2103.17272v1

    • [cs.CV]Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding
    Hao Zhou, Chongyang Zhang, Yan Luo, Yanjun Chen, Chuanping Hu
    http://arxiv.org/abs/2103.16848v1

    • [cs.CV]Evaluation of Multimodal Semantic Segmentation using RGB-D Data
    Jiesi Hu, Ganning Zhao, Suya You, C. C. Jay Kuo
    http://arxiv.org/abs/2103.16758v1

    • [cs.CV]Exploiting Invariance in Training Deep Neural Networks
    Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov
    http://arxiv.org/abs/2103.16634v1

    • [cs.CV]FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
    Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali
    http://arxiv.org/abs/2103.17235v1

    • [cs.CV]Facial Masks and Soft-Biometrics: Leveraging Face Recognition CNNs for Age and Gender Prediction on Mobile Ocular Images
    Fernando Alonso-Fernandez, Kevin Hernandez Diaz, Silvia Ramis, Francisco J. Perales, Josef Bigun
    http://arxiv.org/abs/2103.16760v1

    • [cs.CV]Facial expression and attributes recognition based on multi-task learning of lightweight neural networks
    Andrey V. Savchenko
    http://arxiv.org/abs/2103.17107v1

    • [cs.CV]Few-Data Guided Learning Upon End-to-End Point Cloud Network for 3D Face Recognition
    Yi Yu, Feipeng Da, Ziyu Zhang
    http://arxiv.org/abs/2103.16927v1

    • [cs.CV]Fixing the Teacher-Student Knowledge Discrepancy in Distillation
    Jiangfan Han, Mengya Gao, Yujie Wang, Quanquan Li, Hongsheng Li, Xiaogang Wang
    http://arxiv.org/abs/2103.16844v1

    • [cs.CV]Generating Multi-scale Maps from Remote Sensing Images via Series Generative Adversarial Networks
    Xu Chen, Bangguo Yin, Songqiang Chen, Haifeng Li, Tian Xu
    http://arxiv.org/abs/2103.16909v1

    • [cs.CV]Geometric Unsupervised Domain Adaptation for Semantic Segmentation
    Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
    http://arxiv.org/abs/2103.16694v1

    • [cs.CV]Going deeper with Image Transformers
    Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou
    http://arxiv.org/abs/2103.17239v1

    • [cs.CV]GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
    Abhinav Kumar, Garrick Brazil, Xiaoming Liu
    http://arxiv.org/abs/2103.17202v1

    • [cs.CV]Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors
    Vladimir Guzov, Aymen Mir, Torsten Sattler, Gerard Pons-Moll
    http://arxiv.org/abs/2103.17265v1

    • [cs.CV]Human Perception Modeling for Automatic Natural Image Matting
    Yuhongze Zhou, Liguang Zhou, Tin Lun Lam, Yangsheng Xu
    http://arxiv.org/abs/2103.17020v1

    • [cs.CV]Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections
    Zhenzhang Ye, Tarun Yenamandra, Florian Bernard, Daniel Cremers
    http://arxiv.org/abs/2103.17229v1

    • [cs.CV]Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition
    Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang
    http://arxiv.org/abs/2103.16889v1

    • [cs.CV]Knowledge Distillation By Sparse Representation Matching
    Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
    http://arxiv.org/abs/2103.17012v1

    • [cs.CV]Layout-Guided Novel View Synthesis from a Single Indoor Panorama
    Jiale Xu, Jia Zheng, Yanyu Xu, Rui Tang, Shenghua Gao
    http://arxiv.org/abs/2103.17022v1

    • [cs.CV]Learning Camera Localization via Dense Scene Matching
    Shitao Tang, Chengzhou Tang, Rui Huang, Siyu Zhu, Ping Tan
    http://arxiv.org/abs/2103.16792v1

    • [cs.CV]Learning Spatio-Temporal Transformer for Visual Tracking
    Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, Huchuan Lu
    http://arxiv.org/abs/2103.17154v1

    • [cs.CV]Learning by Aligning Videos in Time
    Sanjay Haresh, Sateesh Kumar, Huseyin Coskun, Shahram Najam Syed, Andrey Konin, Muhammad Zeeshan Zia, Quoc-Huy Tran
    http://arxiv.org/abs/2103.17260v1

    • [cs.CV]Learning with Memory-based Virtual Classes for Deep Metric Learning
    Byungsoo Ko, Geonmo Gu, Han-Gyu Kim
    http://arxiv.org/abs/2103.16940v1

    • [cs.CV]Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data
    Dominik Rivoir, Micha Pfeiffer, Reuben Docea, Fiona Kolbinger, Carina Riediger, Jürgen Weitz, Stefanie Speidel
    http://arxiv.org/abs/2103.17204v1

    • [cs.CV]Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation
    Amrutha Saseendran, Kathrin Skubch, Margret Keuper
    http://arxiv.org/abs/2103.16795v1

    • [cs.CV]Near-field Sensing Architecture for Low-Speed Vehicle Automation using a Surround-view Fisheye Camera System
    Ciarán Eising, Jonathan Horgan, Senthil Yogamani
    http://arxiv.org/abs/2103.17001v1

    • [cs.CV]Neural Response Interpretation through the Lens of Critical Pathways
    Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Christian Rupprecht, Seong Tae Kim, Nassir Navab
    http://arxiv.org/abs/2103.16886v1

    • [cs.CV]Neural Surface Maps
    Luca Morreale, Noam Aigerman, Vladimir Kim, Niloy J. Mitra
    http://arxiv.org/abs/2103.16942v1

    • [cs.CV]Online Learning of a Probabilistic and Adaptive Scene Representation
    Zike Yan, Xin Wang, Hongbin Zha
    http://arxiv.org/abs/2103.16832v1

    • [cs.CV]PAUL: Procrustean Autoencoder for Unsupervised Lifting
    Chaoyang Wang, Simon Lucey
    http://arxiv.org/abs/2103.16773v1

    • [cs.CV]Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
    Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto Sangiovanni Vincentelli
    http://arxiv.org/abs/2103.16765v1

    • [cs.CV]Rainbow Memory: Continual Learning with a Memory of Diverse Samples
    Jihwan Bang, Heesu Kim, YoungJoon Yoo, Jung-Woo Ha, Jonghyun Choi
    http://arxiv.org/abs/2103.17230v1

    • [cs.CV]Rank-One Prior: Toward Real-Time Scene Recovery
    Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng
    http://arxiv.org/abs/2103.17126v1

    • [cs.CV]ReMix: Towards Image-to-Image Translation with Limited Data
    Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, Zhenan Sun
    http://arxiv.org/abs/2103.16835v1

    • [cs.CV]Rectification-based Knowledge Retention for Continual Learning
    Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri
    http://arxiv.org/abs/2103.16597v1

    • [cs.CV]Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective
    Jiarui Xu, Xiaolong Wang
    http://arxiv.org/abs/2103.17263v1

    • [cs.CV]Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes
    Dmytro Kotovenko, Matthias Wright, Arthur Heimbrecht, Björn Ommer
    http://arxiv.org/abs/2103.17185v1

    • [cs.CV]Robust Facial Expression Recognition with Convolutional Visual Transformers
    Fuyan Ma, Bin Sun, Shutao Li
    http://arxiv.org/abs/2103.16854v1

    • [cs.CV]Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity
    Yuanxin Ye, Jie Shan, Lorenzo Bruzzone, Li Shen
    http://arxiv.org/abs/2103.16871v1

    • [cs.CV]SOON: Scenario Oriented Object Navigation with Graph-based Exploration
    Fengda Zhu, Xiwen Liang, Yi Zhu, Xiaojun Chang, Xiaodan Liang
    http://arxiv.org/abs/2103.17138v1

    • [cs.CV]SRA-LSTM: Social Relationship Attention LSTM for Human Trajectory Prediction
    Yusheng Peng, Gaofeng Zhang, Jun Shi, Benzhu Xu, Liping Zheng
    http://arxiv.org/abs/2103.17045v1

    • [cs.CV]Scale-aware Automatic Augmentation for Object Detection
    Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya Jia
    http://arxiv.org/abs/2103.17220v1

    • [cs.CV]Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
    Oscar Mañas, Alexandre Lacoste, Xavier Giro-i-Nieto, David Vazquez, Pau Rodriguez
    http://arxiv.org/abs/2103.16607v1

    • [cs.CV]Self-Regression Learning for Blind Hyperspectral Image Fusion Without Label
    Wu Wang, Yue Huang, Xinhao Ding
    http://arxiv.org/abs/2103.16806v1

    • [cs.CV]Semi-supervised Synthesis of High-Resolution Editable Textures for 3D Humans
    Bindita Chaudhuri, Nikolaos Sarafianos, Linda Shapiro, Tony Tung
    http://arxiv.org/abs/2103.17266v1

    • [cs.CV]SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification
    Zijian Hu, Zhengyu Yang, Xuefeng Hu, Ram Nevatia
    http://arxiv.org/abs/2103.16725v1

    • [cs.CV]Smart Scribbles for Image Mating
    Xin Yang, Yu Qiao, Shaozhe Chen, Shengfeng He, Baocai Yin, Qiang Zhang, Xiaopeng Wei, Rynson W. H. Lau
    http://arxiv.org/abs/2103.17062v1

    • [cs.CV]Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion
    Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon
    http://arxiv.org/abs/2103.16690v1

    • [cs.CV]Spatial Content Alignment For Pose Transfer
    Wing-Yin Yu, Lai-Man Po, Yuzhi Zhao, Jingjing Xiong, Kin-Wai Lau
    http://arxiv.org/abs/2103.16828v1

    • [cs.CV]StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery
    Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, Dani Lischinski
    http://arxiv.org/abs/2103.17249v1

    • [cs.CV]The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation
    Eu Wern Teh, Terrance DeVries, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor
    http://arxiv.org/abs/2103.17105v1

    • [cs.CV]Topo-boundary: A Benchmark Dataset on Topological Road-boundary Detection Using Aerial Images for Autonomous Driving
    Zhenhua Xu, Yuxiang Sun, Ming Liu
    http://arxiv.org/abs/2103.17119v1

    • [cs.CV]Topology-Preserving 3D Image Segmentation Based On Hyperelastic Regularization
    Daoping Zhang, Lok Ming Lui
    http://arxiv.org/abs/2103.16768v1

    • [cs.CV]Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark
    Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu
    http://arxiv.org/abs/2103.16746v1

    • [cs.CV]Unpaired Single-Image Depth Synthesis with cycle-consistent Wasserstein GANs
    Christoph Angermann, Adéla Moravová, Markus Haltmeier, Steinbjörn Jónsson, Christian Laubichler
    http://arxiv.org/abs/2103.16938v1

    • [cs.CV]Unsupervised Disentanglement of Linear-Encoded Facial Semantics
    Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides
    http://arxiv.org/abs/2103.16605v1

    • [cs.CV]Using depth information and colour space variations for improving outdoor robustness for instance segmentation of cabbage
    Nils Lüling, David Reiser, Alexander Stana, H. W. Griepentrog
    http://arxiv.org/abs/2103.16923v1

    • [cs.CV]VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization
    Seunghwan Choi, Sunghyun Park, Minsoo Lee, Jaegul Choo
    http://arxiv.org/abs/2103.16874v1

    • [cs.CV]Video Exploration via Video-Specific Autoencoders
    Kevin Wang, Deva Ramanan, Aayush Bansal
    http://arxiv.org/abs/2103.17261v1

    • [cs.CV]Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks
    Shun-Yi Pan, Cheng-You Lu, Shih-Po Lee, Wen-Hsiao Peng
    http://arxiv.org/abs/2103.16762v1

    • [cs.CV]iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous Driving
    Zhenhua Xu, Yuxiang Sun, Ming Liu
    http://arxiv.org/abs/2103.17118v1

    • [cs.CY]A Survey of Operations Research and Analytics Literature Related to Anti-Human Trafficking
    Geri L. Dimas, Renata A. Konrad, Kayse Lee Maass, Andrew C. Trapp
    http://arxiv.org/abs/2103.16476v2

    • [cs.CY]Mitigating Bias in Algorithmic Systems: A Fish-Eye View of Problems and Solutions Across Domains
    Kalia Orphanou, Jahna Otterbacher, Styliani Kleanthous, Khuyagbaatar Batsuren, Fausto Giunchiglia, Veronika Bogina, Avital Shulner Tal, AlanHartman, Tsvi Kuflik
    http://arxiv.org/abs/2103.16953v1

    • [cs.CY]Personal Data Gentrification
    Juan Luis Herrera, Javier Berrocal, Jose Garcia-Alonso, Juan Manuel Murillo, Hsiao-Yuan Chen, Christine Julien, Niko Mäkitalo, Tommi Mikkonen
    http://arxiv.org/abs/2103.17109v1

    • [cs.CY]Tracking Knowledge Propagation Across Wikipedia Languages
    Roldolfo Valentim, Giovanni Comarela, Souneil Park, Diego Saez-Trumper
    http://arxiv.org/abs/2103.16613v1

    • [cs.DC]Knowledge co-creation in the OrganiCity: Data annotation with JAMAiCA
    Aikaterini Deligiannidou, Dimitrios Amaxilatis, Georgios Mylonas, Evangelos Theodoridis
    http://arxiv.org/abs/2103.16998v1

    • [cs.DC]Managing smartphone crowdsensing campaigns through the Organicity smart city platform
    Dimitrios Amaxilatis, Evangelos Lagoudianakis, Georgios Mylonas, Evangelos Theodoridis
    http://arxiv.org/abs/2103.17023v1

    • [cs.DC]Scheduling Applications on Containers Based on Dependency of The Applications
    Abdullah Alelyani, Ghulam Mubasher Hassan, Amitava Datta
    http://arxiv.org/abs/2103.16995v1

    • [cs.IR]A Systematic Literature Review on Process-Aware Recommender Systems
    Mansoureh Yari Eili, Jalal Rezaeenour, Mohammadreza Fani Sani
    http://arxiv.org/abs/2103.16654v1

    • [cs.IR]An In-depth Analysis of Passage-Level Label Transfer for Contextual Document Ranking
    Koustav Rudra, Zeon Trevor Fernando, Avishek Anand
    http://arxiv.org/abs/2103.16669v1

    • [cs.IR]Text Classification Using Hybrid Machine Learning Algorithms on Big Data
    D. C. Asogwa, S. O. Anigbogu, I. E. Onyenwe, F. A. Sani
    http://arxiv.org/abs/2103.16624v1

    • [cs.IT]今日学术视野(2021.4.2) - 图3-Geodesical Skew Divergence
    Masanari Kimura, Hideitsu Hino
    http://arxiv.org/abs/2103.17060v1

    • [cs.IT]A genuinely natural information measure
    Andreas Winter
    http://arxiv.org/abs/2103.16662v1

    • [cs.IT]An Information-Theoretic Perspective on Successive Cancellation List Decoding and Polar Code Design
    Mustafa Cemil Coşkun, Henry D. Pfister
    http://arxiv.org/abs/2103.16680v1

    • [cs.IT]Applications of Common Information to Computing Functions
    Derya Malak
    http://arxiv.org/abs/2103.16717v1

    • [cs.IT]Blockwise Phase Rotation-Aided Analog Transmit Beamforming for 5G mmWave Systems
    Md. Abdul Latif Sarker, Igbafe Orikumhi, Dong Seog Han, Sunwoo Kim
    http://arxiv.org/abs/2103.16761v1

    • [cs.IT]Dynamic NOMA-Based Computation Offloading in Vehicular Platoons
    Dongsheng Zheng, Yingyang Chen, Lai Wei, Bingli Jiao, Lajos Hanzo
    http://arxiv.org/abs/2103.17049v1

    • [cs.IT]Intelligent Reflecting Surface for Wireless Communication Security and Privacy
    Shihao Yan, Xiaobo Zhou, Derrick Wing Kwan Ng, Jinhong Yuan, Naofal Al-Dhahir
    http://arxiv.org/abs/2103.16696v1

    • [cs.IT]Lifted MDS Codes over Finite Fields
    Elif Segah Oztas
    http://arxiv.org/abs/2103.16646v1

    • [cs.IT]Millimeter Wave and Sub-Terahertz Spatial Statistical Channel Model for an Indoor Office Building
    Shihao Ju, Yunchou Xing, Ojas Kanhere, Theodore S. Rappaport
    http://arxiv.org/abs/2103.17127v1

    • [cs.IT]Novel Outage-Aware NOMA Protocol for Secrecy Fairness Maximization Among Untrusted Users
    Sapna Thapar, Deepak Mishra, Ravikant Saini
    http://arxiv.org/abs/2103.16814v1

    • [cs.IT]On Strong Data-Processing and Majorization Inequalities with Applications to Coding Problems
    Igal Sason
    http://arxiv.org/abs/2103.16901v1

    • [cs.IT]Robust Beamforming Design for Covert Communications
    Shuai Ma, Yunqi Zhang, Hang Li, Songtao Lu, Naofal Al-Dhahir, Sha Zhang, Shiyin Li
    http://arxiv.org/abs/2103.16786v1

    • [cs.LG]A New Algorithm for Discrete-Time Parameter Estimation
    Yingnan Cui, Joseph E. Gaudio, Anuradha M. Annaswamy
    http://arxiv.org/abs/2103.16653v1

    • [cs.LG]Attention, please! A survey of Neural Attention Models in Deep Learning
    Alana de Santana Correia, Esther Luna Colombini
    http://arxiv.org/abs/2103.16775v1

    • [cs.LG]Benchmarks for Deep Off-Policy Evaluation
    Justin Fu, Mohammad Norouzi, Ofir Nachum, George Tucker, Ziyu Wang, Alexander Novikov, Mengjiao Yang, Michael R. Zhang, Yutian Chen, Aviral Kumar, Cosmin Paduraru, Sergey Levine, Tom Le Paine
    http://arxiv.org/abs/2103.16596v1

    • [cs.LG]Binarized Neural Networks for Resource-Constrained On-Device Gait Identification
    Daniel J. Wu, Avoy Datta, Vinay Prabhu
    http://arxiv.org/abs/2103.16609v1

    • [cs.LG]Bit-Mixer: Mixed-precision networks with runtime bit-width selection
    Adrian Bulat, Georgios Tzimiropoulos
    http://arxiv.org/abs/2103.17267v1

    • [cs.LG]CDiNN -Convex Difference Neural Networks
    Parameswaran Sankaranarayanan, Raghunathan Rengaswamy
    http://arxiv.org/abs/2103.17231v1

    • [cs.LG]Collaborative Label Correction via Entropy Thresholding
    Hao Wu, Jiaochao Yao, Jiajie Wang, Yinru Chen, Ya Zhang, Yanfeng Wang
    http://arxiv.org/abs/2103.17008v1

    • [cs.LG]Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices
    Gonçalo Mordido, Matthijs Van keirsbilck, Alexander Keller
    http://arxiv.org/abs/2103.17142v1

    • [cs.LG]Continuous Weight Balancing
    Daniel J. Wu, Avoy Datta
    http://arxiv.org/abs/2103.16591v1

    • [cs.LG]CrowdTeacher: Robust Co-teaching with Noisy Answers & Sample-specific Perturbations for Tabular Data
    Mani Sotoodeh, Li Xiong, Joyce C. Ho
    http://arxiv.org/abs/2103.17144v1

    • [cs.LG]Empirically explaining SGD from a line search perspective
    Maximus Mutschler, Andreas Zell
    http://arxiv.org/abs/2103.17132v1

    • [cs.LG]Energy Efficient Edge Computing: When Lyapunov Meets Distributed Reinforcement Learning
    Mohamed Sana, Mattia Merluzzi, Nicola di Pietro, Emilio Calvanese Strinati
    http://arxiv.org/abs/2103.16985v1

    • [cs.LG]Fast Certified Robust Training via Better Initialization and Shorter Warmup
    Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
    http://arxiv.org/abs/2103.17268v1

    • [cs.LG]Identifying Co-Adaptation of Algorithmic and Implementational Innovations in Deep Reinforcement Learning: A Taxonomy and Case Study of Inference-bas
    76d3
    ed Algorithms
    Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu
    http://arxiv.org/abs/2103.17258v1

    • [cs.LG]Individually Fair Gradient Boosting
    Alexander Vargo, Fan Zhang, Mikhail Yurochkin, Yuekai Sun
    http://arxiv.org/abs/2103.16785v1

    • [cs.LG]Learning Robust Feedback Policies from Demonstrations
    Abed AlRahman Al Makdah, Vishaal Krishnan, Fabio Pasqualetti
    http://arxiv.org/abs/2103.16629v1

    • [cs.LG]Multi-Source Causal Inference Using Control Variates
    Wenshuo Guo, Serena Wang, Peng Ding, Yixin Wang, Michael I. Jordan
    http://arxiv.org/abs/2103.16689v1

    • [cs.LG]Neural Transformation Learning for Deep Anomaly Detection Beyond Images
    Chen Qiu, Timo Pfrommer, Marius Kloft, Stephan Mandt, Maja Rudolph
    http://arxiv.org/abs/2103.16440v2

    • [cs.LG]Neuro-Symbolic Constraint Programming for Structured Prediction
    Paolo Dragone, Stefano Teso, Andrea Passerini
    http://arxiv.org/abs/2103.17232v1

    • [cs.LG]OLIVAW: Mastering Othello with neither Humans nor a Penny
    Antonio Norelli, Alessandro Panconesi
    http://arxiv.org/abs/2103.17228v1

    • [cs.LG]On the Origin of Species of Self-Supervised Learning
    Samuel Albanie, Erika Lu, Joao F. Henriques
    http://arxiv.org/abs/2103.17143v1

    • [cs.LG]Parameterized Hypercomplex Graph Neural Networks for Graph Classification
    Tuan Le, Marco Bertolini, Frank Noé, Djork-Arné Clevert
    http://arxiv.org/abs/2103.16584v1

    • [cs.LG]Perun: Secure Multi-Stakeholder Machine Learning Framework with GPU Support
    Wojciech Ozga, Do Le Quoc, Christof Fetzer
    http://arxiv.org/abs/2103.16898v1

    • [cs.LG]Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
    Zeke Xie, Li Yuan, Zhanxing Zhu, Masashi Sugiyama
    http://arxiv.org/abs/2103.17182v1

    • [cs.LG]QUEST: Queue Simulation for Content Moderation at Scale
    Rahul Makhijani, Parikshit Shah, Vashist Avadhanula, Caner Gocmen, Nicolás E. Stier-Moses, Julián Mestre
    http://arxiv.org/abs/2103.16816v1

    • [cs.LG]Research of Damped Newton Stochastic Gradient Descent Method for Neural Network Training
    Jingcheng Zhou, Wei Wei, Zhiming Zheng
    http://arxiv.org/abs/2103.16764v1

    • [cs.LG]Robustness Certification for Point Cloud Models
    Tobias Lorenz, Anian Ruoss, Mislav Balunović, Gagandeep Singh, Martin Vechev
    http://arxiv.org/abs/2103.16652v1

    • [cs.LG]Spatiotemporal Data Mining: A Survey on Challenges and Open Problems
    Ali Hamdi, Khaled Shaban, Abdelkarim Erradi, Amr Mohamed, Shakila Khan Rumi, Flora Salim
    http://arxiv.org/abs/2103.17128v1

    • [cs.LG]VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance
    Spyridon Paraschos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
    http://arxiv.org/abs/2103.17003v1

    • [cs.NE]A Framework for Knowledge Integrated Evolutionary Algorithms
    Ahmed Hallawa, Anil Yaman, Giovanni Iacca, Gerd Ascheid
    http://arxiv.org/abs/2103.16897v1

    • [cs.NE]A Signal-Centric Perspective on the Evolution of Symbolic Communication
    Quintino Francesco Lotito, Leonardo Lucio Custode, Giovanni Iacca
    http://arxiv.org/abs/2103.16882v1

    • [cs.RO]A Kinematic Model for Trajectory Prediction in General Highway Scenarios
    Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson
    http://arxiv.org/abs/2103.16673v1

    • [cs.RO]An Integrated Mechanical Intelligence and Control Approach Towards Flight Control of Aerobat
    Eric Sihite, Atefe Darabi, Pravin Dangol, Andrew Lessieur, Alireza Ramezani
    http://arxiv.org/abs/2103.16566v1

    • [cs.RO]Causal Reasoning in Simulation for Structure and Transfer Learning of Robot Manipulation Policies
    Timothy E. Lee, Jialiang Zhao, Amrita S. Sawhney, Siddharth Girdhar, Oliver Kroemer
    http://arxiv.org/abs/2103.16772v1

    • [cs.RO]Design and Control of a Midair Reconfigurable Quadcopter using Unactuated Hinges
    Nathan Bucki, Jerry Tang, Mark W. Mueller
    http://arxiv.org/abs/2103.16632v1

    • [cs.RO]Enhancing human bodies with extra robotic arms and fingers: The Neural Resource Allocation Problem
    Giulia Dominijanni, Solaiman Shokur, Gionata Salvietti, Sarah Buehler, Erica Palmerini, Simone Rossi, Frederique De Vignemont, Andrea D’Avella, Tamar R. Makin, Domenico Prattichizzo, Silvestro Micera
    http://arxiv.org/abs/2103.17252v1

    • [cs.RO]Ergodic imitation: Learning from what to do and what not to do
    Aleksandra Kalinowska, Ahalya Prabhakar, Kathleen Fitzsimons, Todd Murphey
    http://arxiv.org/abs/2103.17098v1

    • [cs.RO]Graph-Based Topological Exploration Planning in Large-Scale 3D Environments
    Fan Yang, Dung-Han Lee, John Keller, Sebastian Scherer
    http://arxiv.org/abs/2103.16829v1

    • [cs.RO]Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management
    Zhao Han, Adam Norton, Eric McCann, Lisa Baraniecki, Will Ober, Dave Shane, Anna Skinner, Holly A. Yanco
    http://arxiv.org/abs/2103.16427v2

    • [cs.RO]Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery
    Mengya Xu, Mobarakol Islam, Chwee Ming Lim, Hongliang Ren
    http://arxiv.org/abs/2103.17120v1

    • [cs.RO]Learning Generalizable Robotic Reward Functions from “In-The-Wild” Human Videos
    Annie S. Chen, Suraj Nair, Chelsea Finn
    http://arxiv.org/abs/2103.16817v1

    • [cs.RO]Robust Trajectory Tracking Error Model-Based Predictive Control for Unmanned Ground Vehicles
    Erkan Kayacan, Herman Ramon, Wouter Saeys
    http://arxiv.org/abs/2103.16782v1

    • [cs.RO]Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections
    Yashraj Narang, Balakumar Sundaralingam, Miles Macklin, Arsalan Mousavian, Dieter Fox
    http://arxiv.org/abs/2103.16747v1

    • [cs.RO]Simultaneous Navigation and Construction Benchmarking Environments
    Wenyu Han, Chen Feng, Haoran Wu, Alexander Gao, Armand Jordana, Dong Liu, Lerrel Pinto, Ludovic Righetti
    http://arxiv.org/abs/2103.16732v1

    • [cs.SD]Near field Acoustic Holography on arbitrary shapes using Convolutional Neural Network
    Marco Olivieri, Mirco Pezzoli, Fabio Antonacci, Augusto Sarti
    http://arxiv.org/abs/2103.16935v1

    • [cs.SD]Q-ASR: Integer-only Zero-shot Quantization for Efficient Speech Recognition
    Sehoon Kim, Amir Gholami, Zhewei Yao, Anirudda Nrusimha, Bohan Zhai, Tianren Gao, Michael W. Mahoney, Kurt Keutzer
    http://arxiv.org/abs/2103.16827v1

    • [cs.SE]Exploring Plausible Patches Using Source Code Embeddings in JavaScript
    Viktor Csuvik, Dániel Horváth, Márk Lajkó, László Vidács
    http://arxiv.org/abs/2103.16846v1

    • [cs.SE]Mining DEV for social and technical insights about software development
    Maria Papoutsoglou, Johannes Wachs, Georgia M. Kapitsaki
    http://arxiv.org/abs/2103.17054v1

    • [cs.SI]Bidirectional group random walk based network embedding for asymmetric proximity
    Jiawei Shen, Xincheng Shu, Hu Yang
    http://arxiv.org/abs/2103.16989v1

    • [econ.EM]Dimension reduction of open-high-low-close data in candlestick chart based on pseudo-PCA
    Wenyang Huang, Huiwen Wang, Shanshan Wang
    http://arxiv.org/abs/2103.16908v1

    • [econ.GN]Solving Heterogeneous General Equilibrium Economic Models with Deep Reinforcement Learning
    Edward Hill, Marco Bardoscia, Arthur Turrell
    http://arxiv.org/abs/2103.16977v1

    • [eess.IV]A Novel Deep ML Architecture by Integrating Visual Simultaneous Localization and Mapping (vSLAM) into Mask R-CNN for Real-time Surgical Video Analysis
    Ella Selina Lan
    http://arxiv.org/abs/2103.16847v1

    • [eess.IV]CNN-based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI
    Roshan Reddy Upendra, Brian Jamison Wentz, Richard Simon, Suzanne M. Shontz, Cristian A. Linte
    http://arxiv.org/abs/2103.16695v1

    • [eess.IV]Classification of Hematoma: Joint Learning of Semantic Segmentation and Classification
    Hokuto Hirano, Tsuyoshi Okita
    http://arxiv.org/abs/2103.17172v1

    • [eess.IV]Differentiable Deconvolution for Improved Stroke Perfusion Analysis
    Ezequiel de la Rosa, David Robben, Diana M. Sima, Jan S. Kirschke, Bjoern Menze
    http://arxiv.org/abs/2103.17111v1

    • [eess.IV]HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
    Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, James J. Clark, Tal Arbel
    http://arxiv.org/abs/2103.16617v1

    • [eess.IV]Learning Scalable 今日学术视野(2021.4.2) - 图4-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression
    Yuanchao Bai, Xianming Liu, Wangmeng Zuo, Yaowei Wang, Xiangyang Ji
    http://arxiv.org/abs/2103.17015v1

    • [eess.IV]Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging
    Ilya Chugunov, Seung-Hwan Baek, Qiang Fu, Wolfgang Heidrich, Felix Heide
    http://arxiv.org/abs/2103.16693v1

    • [eess.IV]Training robust deep learning models for medical imaging tasks with spectral decoupling
    Joona Pohjonen, Carolin Stürenberg, Antti Rannikko, Tuomas Mirtti, Esa Pitkänen
    http://arxiv.org/abs/2103.17171v1

    • [eess.SP]Federated Learning: A Signal Processing Perspective
    Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor
    http://arxiv.org/abs/2103.17150v1

    • [eess.SY]Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers
    Patricia Pauli, Dennis Gramlich, Julian Berberich, Frank Allgöwer
    http://arxiv.org/abs/2103.17106v1

    • [eess.SY]State-Dependent Processing in Payment Channel Networks for Throughput Optimization
    Nikolaos Papadis, Leandros Tassiulas
    http://arxiv.org/abs/2103.17207v1

    • [hep-ex]Charged particle tracking via edge-classifying interaction networks
    Gage DeZoort, Savannah Thais, Isobel Ojalvo, Peter Elmer, Vesal Razavimaleki, Javier Duarte, Markus Atkinson, Mark Neubauer
    http://arxiv.org/abs/2103.16701v1

    • [math.OC]Revisiting Bayesian Optimization in the light of the COCO benchmark
    Rodolphe Le Riche, Victor Picheny
    http://arxiv.org/abs/2103.16649v1

    • [math.PR]Sharp and Simple Bounds for the raw Moments of the Binomial and Poisson Distributions
    Thomas D. Ahle
    http://arxiv.org/abs/2103.17027v1

    • [math.ST]Bayesian estimation of nonlinear Hawkes proces
    Deborah Sulem, Vincent Rivoirard, Judith Rousseau
    http://arxiv.org/abs/2103.17164v1

    • [math.ST]Simpson’s Paradox: A Singularity of Statistical and Inductive Inference
    Palash Sarkar, Prasanta S. Bandyopadhyay
    http://arxiv.org/abs/2103.16860v1

    • [physics.comp-ph]XY Neural Networks
    Nikita Stroev, Natalia G. Berloff
    http://arxiv.org/abs/2103.17244v1

    • [physics.soc-ph]Detecting informative higher-order interactions in statistically validated hypergraphs
    Federico Musciotto, Federico Battiston, Rosario N. Mantegna
    http://arxiv.org/abs/2103.16484v2

    • [quant-ph]Optimized quantum f-divergences
    Mark M. Wilde
    http://arxiv.org/abs/2103.16797v1

    • [quant-ph]Quantum Optimization for Training Quantum Neural Networks
    Yidong Liao, Min-Hsiu Hsieh, Chris Ferrie
    http://arxiv.org/abs/2103.17047v1

    • [quant-ph]Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry
    Stefan Klus, Patrick Gelß, Feliks Nüske, Frank Noé
    http://arxiv.org/abs/2103.17233v1

    • [quant-ph]Tossing Quantum Coins and Dice
    V. I. Yukalov
    http://arxiv.org/abs/2103.17007v1

    • [quant-ph]Towards understanding the power of quantum kernels in the NISQ era
    Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao
    http://arxiv.org/abs/2103.16774v1

    • [stat.AP]Can really the center lane have advantages for swimmers?
    Miwa Shirai, Eiji Konaka
    http://arxiv.org/abs/2103.16820v1

    • [stat.AP]Mobility Functional Areas and COVID-19 Spread
    Stefano Maria Iacus, Carlos Santamaria, Francesco Sermi, Spyridon Spyratos, Dario Tarchi, Michele Vespe
    http://arxiv.org/abs/2103.16894v1

    • [stat.AP]Representative endowments and uniform Gini orderings of multi-attribute inequality
    Karl Mosler
    http://arxiv.org/abs/2103.17030v1

    • [stat.CO]pivmet: Pivotal Methods for Bayesian Relabelling and k-Means Clustering
    Leonardo Egidi, Roberta Pappadà, Francesco Pauli, Nicola Torelli
    http://arxiv.org/abs/2103.16948v1

    • [stat.ME]Continuous Latent Position Models for Instantaneous Interactions
    Riccardo Rastelli, Marco Corneli
    http://arxiv.org/abs/2103.17146v1

    • [stat.ME]On Computationally-Scalable Spatio-Temporal Regression Clustering of Precipitation Threshold Excesses
    Olga Kaiser, Dimitri Igdalov, Olivia Martius, Illia Horenko
    http://arxiv.org/abs/2103.16687v1

    • [stat.ME]Spectral Dependence
    Hernando Ombao, Marco Pinto
    http://arxiv.org/abs/2103.17240v1

    • [stat.ME]The Expectation-Maximization Algorithm for Continuous-time Hidden Markov Models
    Qingcan Wang, Weinan E
    http://arxiv.org/abs/2103.16810v1

    • [stat.ML]Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability
    Carmen Jiménez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz, Alzheimer’s Disease Neuroimaging Initiative ADNI, Dominantly Inherited Alzheimer Network DIAN
    http://arxiv.org/abs/2103.16685v1

    • [stat.ML]High-Dimensional Uncertainty Quantification via Rank- and Sample-Adaptive Tensor Regression
    Zichang He, Zheng Zhang
    http://arxiv.org/abs/2103.17236v1

    • [stat.ML]Statistical inference for individual fairness
    Subha Maity, Songkai Xue, Mikhail Yurochkin, Yuekai Sun
    http://arxiv.org/abs/2103.16714v1

    • [stat.ML]Trees, Forests, Chickens, and Eggs: When and Why to Prune Trees in a Random Forest
    Siyu Zhou, Lucas Mentch
    http://arxiv.org/abs/2103.16700v1

    • [stat.ML]Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications
    Philip Matthias Winter, Sebastian Eder, Johannes Weissenböck, Christoph Schwald, Thomas Doms, Tom Vogt, Sepp Hochreiter, Bernhard Nessler
    http://arxiv.org/abs/2103.16910v1

    • [stat.ML]Universal Prediction Band via Semi-Definite Programming
    Tengyuan Liang
    http://arxiv.org/abs/2103.17203v1

    • [stat.ML]Using activation histograms to bound the number of affine regions in ReLU feed-forward neural networks
    Peter Hinz, Sara van de Geer
    http://arxiv.org/abs/2103.17174v1