astro-ph.GA - 星系天体物理学
    cs.AI - 人工智能
    cs.AR - 硬件体系结构
    cs.CC - 计算复杂度
    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.DS - 数据结构与算法
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.LO - 计算逻辑
    cs.MA - 多代理系统
    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
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    math.NA - 数值分析
    math.PR - 概率
    math.ST - 统计理论
    physics.plasm-ph - 等离子体物理
    physics.soc-ph - 物理学与社会
    q-fin.RM - 风险管理
    q-fin.ST - 统计金融学
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习
    stat.OT - 其他统计学

    • [astro-ph.GA]Morphological Classification of Galaxies in S-PLUS using an Ensemble of Convolutional Networks
    • [cs.AI]A Review of Explainable Artificial Intelligence in Manufacturing
    • [cs.AI]A visual introduction to Gaussian Belief Propagation
    • [cs.AI]Comparing PCG metrics with Human Evaluation in Minecraft Settlement Generation
    • [cs.AI]Estimates for the Branching Factors of Atari Games
    • [cs.AI]How to Discover a Semantic Web Service by Knowing Its Functionality Parameters
    • [cs.AI]Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
    • [cs.AI]Knowledge Modelling and Active Learning in Manufacturing
    • [cs.AI]Meta-Reinforcement Learning for Heuristic Planning
    • [cs.AR]CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference
    • [cs.AR]Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks
    • [cs.CC]MAJORITY-3SAT (and Related Problems) in Polynomial Time
    • [cs.CL]An NLG pipeline for a legal expert system: a work in progress
    • [cs.CL]Deep Learning Schema-based Event Extraction: Literature Review and Current Trends
    • [cs.CL]Empowering NGOs in Countering Online Hate Messages
    • [cs.CL]Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings
    • [cs.CL]Experiments with adversarial attacks on text genres
    • [cs.CL]Identifying negativity factors from social media text corpus using sentiment analysis method
    • [cs.CL]Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution
    • [cs.CL]Instant One-Shot Word-Learning for Context-Specific Neural Sequence-to-Sequence Speech Recognition
    • [cs.CL]Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering
    • [cs.CL]Probabilistic Graph Reasoning for Natural Proof Generation
    • [cs.CL]Sarcasm Detection: A Comparative Study
    • [cs.CL]The NiuTrans End-to-End Speech Translation System \for IWSLT 2021 Offline Task
    • [cs.CL]Transfer Learning for Improving Results on Russian Sentiment Datasets
    • [cs.CL]VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
    • [cs.CL]Weakly Supervised Named Entity Tagging with Learnable Logical Rules
    • [cs.CL]What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition
    • [cs.CR]Logic Locking at the Frontiers of Machine Learning: A Survey on Developments and Opportunities
    • [cs.CV]A deep-learning—based multimodal depth-aware dynamic hand gesture recognition system
    • [cs.CV]Adapting Vehicle Detector to Target Domain by Adversarial Prediction Alignment
    • [cs.CV]Anomaly Detection using Edge Computing in Video Surveillance System: Review
    • [cs.CV]Attention-based Adversarial Appearance Learning of Augmented Pedestrians
    • [cs.CV]Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation
    • [cs.CV]CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation
    • [cs.CV]Coarse-to-fine Semantic Localization with HD Map for Autonomous Driving in Structural Scenes
    • [cs.CV]Combining EfficientNet and Vision Transformers for Video Deepfake Detection
    • [cs.CV]Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis
    • [cs.CV]Contrastive Multimodal Fusion with TupleInfoNCE
    • [cs.CV]Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation
    • [cs.CV]Depth-supervised NeRF: Fewer Views and Faster Training for Free
    • [cs.CV]Detecting Outliers with Poisson Image Interpolation
    • [cs.CV]DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis
    • [cs.CV]Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration
    • [cs.CV]Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation
    • [cs.CV]End-To-End Data-Dependent Routing in Multi-Path Neural Networks
    • [cs.CV]Feature Fusion Vision Transformer Fine-Grained Visual Categorization
    • [cs.CV]FloorLevel-Net: Recognizing Floor-Level Lines with Height-Attention-Guided Multi-task Learning
    • [cs.CV]Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation
    • [cs.CV]From General to Specific: Online Updating for Blind Super-Resolution
    • [cs.CV]GCN-Based Linkage Prediction for Face Clusteringon Imbalanced Datasets: An Empirical Study
    • [cs.CV]Generalizing Nucleus Recognition Model in Multi-source Images via Pruning
    • [cs.CV]Graph Convolution for Re-ranking in Person Re-identification
    • [cs.CV]HybrUR: A Hybrid Physical-Neural Solution for Unsupervised Underwater Image Restoration
    • [cs.CV]Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction
    • [cs.CV]Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation
    • [cs.CV]Integrating Circle Kernels into Convolutional Neural Networks
    • [cs.CV]Label noise in segmentation networks : mitigation must deal with bias
    • [cs.CV]Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identification
    • [cs.CV]Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling
    • [cs.CV]LightFuse: Lightweight CNN based Dual-exposure Fusion
    • [cs.CV]Long-Short Transformer: Efficient Transformers for Language and Vision
    • [cs.CV]MSE Loss with Outlying Label for Imbalanced Classification
    • [cs.CV]Memory-aware curriculum federated learning for breast cancer classification
    • [cs.CV]NRST: Non-rigid Surface Tracking from Monocular Video
    • [cs.CV]Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting
    • [cs.CV]On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving
    • [cs.CV]Point Cloud Registration using Representative Overlapping Points
    • [cs.CV]Polarized skylight orientation determination artificial neural network
    • [cs.CV]Predicate correlation learning for scene graph generation
    • [cs.CV]Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization
    • [cs.CV]Semantic Segmentation Alternative Technique: Segmentation Domain Generation
    • [cs.CV]Semi-TCL: Semi-Supervised Track Contrastive Representation Learning
    • [cs.CV]Similarity-Aware Fusion Network for 3D Semantic Segmentation
    • [cs.CV]Spatiotemporal Fusion in Remote Sensing
    • [cs.CV]Stateless actor-critic for instance segmentation with high-level priors
    • [cs.CV]The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
    • [cs.CV]TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
    • [cs.CV]UACANet: Uncertainty Augmented Context Attention for Polyp Semgnetaion
    • [cs.CV]Vision Xformers: Efficient Attention for Image Classification
    • [cs.CV]VolNet: Estimating Human Body Part Volumes from a Single RGB Image
    • [cs.CV]iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis
    • [cs.CY]Developing and delivering a remote experiment based on the experiential learning framework during COVID-19 pandemic
    • [cs.DC]An MPI-based Algorithm for Mapping Complex Networks onto Hierarchical Architectures
    • [cs.DC]Energy and Thermal-aware Resource Management of Cloud Data Centres: A Taxonomy and Future Directions
    • [cs.DC]Exploring a Dynamic Ring without Landmark
    • [cs.DC]On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation
    • [cs.DC]Sustaining Performance While Reducing Energy Consumption: A Control Theory Approach
    • [cs.DS]DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search
    • [cs.IR]CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation
    • [cs.IR]Exploring the Scope of Using News Articles to Understand Development Patterns of Districts in India
    • [cs.IT]Asymptotic Analysis of Max-Min Weighted SINR for IRS-Assisted MISO Systems with Hardware Impairments
    • [cs.IT]Complete weight enumerators for several classes of two-weight and three-weight linear codes
    • [cs.IT]Connecting Spatially Coupled LDPC Code Chains for Bit-Interleaved Coded Modulation
    • [cs.IT]GBLinks: GNN-based beam selection and link activation for ultra-dense D2D mmWave networks
    • [cs.IT]Irregular Invertible Bloom Look-Up Tables
    • [cs.IT]Network-Coded Cooperative LoRa Network with D2D Communication
    • [cs.IT]Optimum GSSK Transmission in Massive MIMO Systems Using the Box-LASSO Decoder
    • [cs.IT]Performance Analysis of Regularized Convex Relaxation for Complex-Valued Data Detection (Extended Version)
    • [cs.IT]Turbo Coded Single User Massive MIMO
    • [cs.IT]Two new classes of projective two-weight linear codes
    • [cs.LG]”Garbage In, Garbage Out” Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data?
    • [cs.LG]A Multi-Objective Approach for Sustainable Generative Audio Models
    • [cs.LG]A Short Note on the Relationship of Information Gain and Eluder Dimension
    • [cs.LG]A Unified Off-Policy Evaluation Approach for General Value Function
    • [cs.LG]A comparison of LSTM and GRU networks for learning symbolic sequences
    • [cs.LG]AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
    • [cs.LG]Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems
    • [cs.LG]An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels
    • [cs.LG]An Evaluation of Machine Learning and Deep Learning Models for Drought Prediction using Weather Data
    • [cs.LG]An Inverse QSAR Method Based on Linear Regression and Integer Programming
    • [cs.LG]BAGUA: Scaling up Distributed Learning with System Relaxations
    • [cs.LG]Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence
    • [cs.LG]Causal Bandits on General Graphs
    • [cs.LG]Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity
    • [cs.LG]Counterfactual Explanations in Sequential Decision Making Under Uncertainty
    • [cs.LG]DTGAN: Differential Private Training for Tabular GANs
    • [cs.LG]Data-Driven Learning of Feedforward Neural Networks with Different Activation Functions
    • [cs.LG]Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs
    • [cs.LG]Deep Network Approximation With Accuracy Independent of Number of Neurons
    • [cs.LG]Deep Visual Attention-Based Transfer Clustering
    • [cs.LG]DeepCEL0 for 2D Single Molecule Localization in Fluorescence Microscopy
    • [cs.LG]DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations
    • [cs.LG]Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
    • [cs.LG]Discrete-Valued Neural Communication
    • [cs.LG]Does Dataset Complexity Matters for Model Explainers?
    • [cs.LG]Dueling Bandits with Adversarial Sleeping
    • [cs.LG]Dueling Bandits with Team Comparisons
    • [cs.LG]Dynamical System Parameter Identification using Deep Recurrent Cell Networks
    • [cs.LG]EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data
    • [cs.LG]Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification
    • [cs.LG]Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
    • [cs.LG]End-to-End Weak Supervision
    • [cs.LG]Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning
    • [cs.LG]Equivariant bifurcation, quadratic equivariants, and symmetry breaking for the standard representation of 今日学术视野(2021.7.8) - 图1
    • [cs.LG]Evaluating subgroup disparity using epistemic uncertainty in mammography
    • [cs.LG]Featurized Density Ratio Estimation
    • [cs.LG]FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems
    • [cs.LG]Generalization by design: Shortcuts to Generalization in Deep Learning
    • [cs.LG]GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization
    • [cs.LG]Improving Text-to-Image Synthesis Using Contrastive Learning
    • [cs.LG]Intrinsic uncertainties and where to find them
    • [cs.LG]Isotonic Data Augmentation for Knowledge Distillation
    • [cs.LG]Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks
    • [cs.LG]Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case
    • [cs.LG]Memory-Sample Lower Bounds for Learning Parity with Noise
    • [cs.LG]Meta-learning Amidst Heterogeneity and Ambiguity
    • [cs.LG]Multi-Level Graph Contrastive Learning
    • [cs.LG]Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning
    • [cs.LG]Neural Mixture Models with Expectation-Maximization for End-to-end Deep Clustering
    • [cs.LG]On Generalization of Graph Autoencoders with Adversarial Training
    • [cs.LG]Physics-Informed Graph Learning for Robust Fault Location in Distribution Systems
    • [cs.LG]Prioritized training on points that are learnable, worth learning, and not yet learned
    • [cs.LG]Provable Lipschitz Certification for Generative Models
    • [cs.LG]Remote sensing, AI and innovative prediction methods for adapting cities to the impacts of the climate change
    • [cs.LG]Rethinking Positional Encoding
    • [cs.LG]Shell Language Processing: Unix command parsing for Machine Learning
    • [cs.LG]SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging
    • [cs.LG]The QR decomposition for radial neural networks
    • [cs.LG]Weighted Gaussian Process Bandits for Non-stationary Environments
    • [cs.LO]Proof Generation in CDSAT
    • [cs.MA]Effects of Smart Traffic Signal Control on Air Quality
    • [cs.NE]High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network
    • [cs.NE]Neural Computing
    • [cs.RO]A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition
    • [cs.RO]Approximate Topological Optimization using Multi-Mode Estimation for Robot Motion Planning
    • [cs.RO]Autonomous Robotic Endoscope Control based on Semantically Rich Instructions
    • [cs.RO]Best Axes Composition: Multiple Gyroscopes IMU Sensor Fusion to Reduce Systematic Error
    • [cs.RO]DL-AMP and DBTO: An Automatic Merge Planning and Trajectory Optimization and Its Application in Autonomous Driving
    • [cs.RO]Fast-Learning Grasping and Pre-Grasping via Clutter Quantization and Q-map Masking
    • [cs.RO]Geometrical Postural Optimisation of 7-DoF Limb-Like Manipulators
    • [cs.RO]Learned Visual Navigation for Under-Canopy Agricultural Robots
    • [cs.RO]Learning a Generative Transition Model for Uncertainty-Aware Robotic Manipulation
    • [cs.RO]Multi-Modal Motion Planning Using Composite Pose Graph Optimization
    • [cs.RO]Open-Source LiDAR Time Synchronization System by Mimicking GPS-clock
    • [cs.RO]Pedestrian Emergence Estimation and Occlusion-Aware Risk Assessment for Urban Autonomous Driving
    • [cs.RO]Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections
    • [cs.RO]Real-Time Motion Planning of a Hydraulic Excavator using Trajectory Optimization and Model Predictive Control
    • [cs.RO]Real-time Pose Estimation from Images for Multiple Humanoid Robots
    • [cs.RO]Tactile Sensing with a Tendon-Driven Soft Robotic Finger
    • [cs.RO]Targeted Muscle Effort Distribution with Exercise Robots: Trajectory and Resistance Effects
    • [cs.SD]AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style
    • [cs.SD]Self-training with noisy student model and semi-supervised loss function for dcase 2021 challenge task 4
    • [cs.SE]A Model-Driven Engineering Approach to Machine Learning and Software Modeling
    • [cs.SE]An Evolutionary Algorithm for Task Scheduling in Crowdsourced Software Development
    • [cs.SE]Enabling Un-/Semi-Supervised Machine Learning for MDSE of the Real-World CPS/IoT Applications
    • [cs.SE]ML-Quadrat & DriotData: A Model-Driven Engineering Tool and a Low-Code Platform for Smart IoT Services
    • [cs.SE]Nobody of the Crowd: An Empirical Evaluation on Worker Clustering in Topcoder
    • [cs.SI]Information Access Equality on Network Generative Models
    • [cs.SI]Temporal Nuances of Coordination Networks
    • [cs.SI]Temporal Nuances of Coordination Networks
    • [cs.SI]The Hyperspherical Geometry of Community Detection: Modularity as a Distance
    • [cs.SI]Using Localized Twitter Activity for Red Tide Impact Assessment
    • [econ.EM]Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy
    • [eess.AS]Location, Location: Enhancing the Evaluation of Text-to-Speech Synthesis Using the Rapid Prosody Transcription Paradigm
    • [eess.IV]A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
    • [eess.IV]A new smart-cropping pipeline for prostate segmentation using deep learning networks
    • [eess.IV]Automated age-related macular degeneration area estimation — first results
    • [eess.IV]COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures
    • [eess.IV]Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps
    • [eess.IV]Differentially private federated deep learning for multi-site medical image segmentation
    • [eess.IV]Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography
    • [eess.IV]Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy
    • [eess.IV]Histogram of Cell Types: Deep Learning for Automated Bone Marrow Cytology
    • [eess.IV]Impact of deep learning-based image super-resolution on binary signal detection
    • [eess.IV]Total Nitrogen Estimation in Agricultural Soils via Aerial Multispectral Imaging and LIBS
    • [eess.IV]Unsupervised Knowledge-Transfer for Learned Image Reconstruction
    • [eess.IV]Unsupervised learning of MRI tissue properties using MRI physics models
    • [eess.SP]Deep Learning Methods for Joint Optimization of Beamforming and Fronthaul Quantization in Cloud Radio Access Networks
    • [math.NA]Galerkin—Chebyshev approximation of Gaussian random fields on compact Riemannian manifolds
    • [math.NA]Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference
    • [math.PR]Normal and stable approximation to subgraph counts in superpositions of Bernoulli random graphs
    • [math.ST]A provable two-stage algorithm for penalized hazards regression
    • [math.ST]Goodness-of-fit testing for Hölder continuous densities under local differential privacy
    • [math.ST]Inference for Low-Rank Models
    • [math.ST]Near-optimal inference in adaptive linear regression
    • [physics.plasm-ph]A Deep Learning-Based Particle-in-Cell Method for Plasma Simulations
    • [physics.soc-ph]Growing Urban Bicycle Networks
    • [physics.soc-ph]The global migration network of sex-workers
    • [physics.soc-ph]The hidden dependence of spreading vulnerability on topological complexity
    • [q-fin.RM]Approximations to ultimate ruin probabilities with a Wienner process perturbation
    • [q-fin.RM]Collaborative Insurance Sustainability and Network Structure
    • [q-fin.ST]Clustering Structure of Microstructure Measures
    • [quant-ph]On a tracial version of Haemers bound
    • [stat.AP]Face masks, vaccination rates and low crowding drive the demand for the London Underground during the COVID-19 pandemic
    • [stat.ME]Distributed Adaptive Huber Regression
    • [stat.ME]Fast, universal estimation of latent variable models using extended variational approximations
    • [stat.ME]Hierarchical clustered multiclass discriminant analysis via cross-validation
    • [stat.ME]Nonparametric quantile regression for time series with replicated observations and its application to climate data
    • [stat.ME]Optimal Estimation of Brownian Penalized Regression Coefficients
    • [stat.ME]T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs
    • [stat.ME]Testing for the Presence of Structural Change and Spatial Heterogeneity
    • [stat.ML]Asymptotics of Network Embeddings Learned via Subsampling
    • [stat.ML]Implicit Variational Conditional Sampling with Normalizing Flows
    • [stat.ML]InfoNCE is a variational autoencoder
    • [stat.ML]Midwifery Learning and Forecasting: Predicting Content Demand with User-Generated Logs
    • [stat.OT]A nonBayesian view of Hempel’s paradox of the ravens

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

    • [astro-ph.GA]Morphological Classification of Galaxies in S-PLUS using an Ensemble of Convolutional Networks
    N. M. Cardoso, G. B. O. Schwarz, L. O. Dias, C. R. Bom, L. Sodré Jr., C. Mendes de Oliveira
    http://arxiv.org/abs/2107.02287v1

    • [cs.AI]A Review of Explainable Artificial Intelligence in Manufacturing
    Georgios Sofianidis, Jože M. Rožanec, Dunja Mladenić, Dimosthenis Kyriazis
    http://arxiv.org/abs/2107.02295v1

    • [cs.AI]A visual introduction to Gaussian Belief Propagation
    Joseph Ortiz, Talfan Evans, Andrew J. Davison
    http://arxiv.org/abs/2107.02308v1

    • [cs.AI]Comparing PCG metrics with Human Evaluation in Minecraft Settlement Generation
    Jean-Baptiste Hervé, Christoph Salge
    http://arxiv.org/abs/2107.02457v1

    • [cs.AI]Estimates for the Branching Factors of Atari Games
    Mark J. Nelson
    http://arxiv.org/abs/2107.02385v1

    • [cs.AI]How to Discover a Semantic Web Service by Knowing Its Functionality Parameters
    Golsa Heidari, Kamran Zamanifar, Naser Nematbakhsh, Farhad Mardookhi
    http://arxiv.org/abs/2107.02609v1

    • [cs.AI]Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
    Maxwell Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake
    http://arxiv.org/abs/2107.02794v1

    • [cs.AI]Knowledge Modelling and Active Learning in Manufacturing
    Jože M. Rožanec, Inna Novalija, d Patrik Zajec, Klemen Kenda, Dunja Mladenić
    http://arxiv.org/abs/2107.02298v1

    • [cs.AI]Meta-Reinforcement Learning for Heuristic Planning
    Ricardo Luna Gutierrez, Matteo Leonetti
    http://arxiv.org/abs/2107.02603v1

    • [cs.AR]CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference
    Zhiyu Chen, Zhanghao Yu, Qing Jin, Yan He, Jingyu Wang, Sheng Lin, Dai Li, Yanzhi Wang, Kaiyuan Yang
    http://arxiv.org/abs/2107.02388v1

    • [cs.AR]Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks
    Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Umit Y. Ogras, Yu Cao
    http://arxiv.org/abs/2107.02358v1

    • [cs.CC]MAJORITY-3SAT (and Related Problems) in Polynomial Time
    Shyan Akmal, Ryan Williams
    http://arxiv.org/abs/2107.02748v1

    • [cs.CL]An NLG pipeline for a legal expert system: a work in progress
    Inari Listenmaa, Jason Morris, Alfred Ang, Maryam Hanafiah, Regina Cheong
    http://arxiv.org/abs/2107.02421v1

    • [cs.CL]Deep Learning Schema-based Event Extraction: Literature Review and Current Trends
    Qian Li, Hao Peng, Jianxin Li, Yiming Hei, Rui Sun, Jiawei Sheng, Shu Guo, Lihong Wang, Philip S. Yu
    http://arxiv.org/abs/2107.02126v2

    • [cs.CL]Empowering NGOs in Countering Online Hate Messages
    Yi-Ling Chung, Serra Sinem Tekiroglu, Sara Tonelli, Marco Guerini
    http://arxiv.org/abs/2107.02472v1

    • [cs.CL]Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings
    Xinyu Wang, Zixia Jia, Yong Jiang, Kewei Tu
    http://arxiv.org/abs/2107.02416v1

    • [cs.CL]Experiments with adversarial attacks on text genres
    Mikhail Lepekhin, Serge Sharoff
    http://arxiv.org/abs/2107.02246v1

    • [cs.CL]Identifying negativity factors from social media text corpus using sentiment analysis method
    Mohammad Aimal, Maheen Bakhtyar, Junaid Baber, Sadia Lakho, Umar Mohammad, Warda Ahmed, Jahanvash Karim
    http://arxiv.org/abs/2107.02175v1

    • [cs.CL]Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution
    Severine Verlinden, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder
    http://arxiv.org/abs/2107.02286v1

    • [cs.CL]Instant One-Shot Word-Learning for Context-Specific Neural Sequence-to-Sequence Speech Recognition
    Christian Huber, Juan Hussain, Sebastian Stüker, Alexander Waibel
    http://arxiv.org/abs/2107.02268v1

    • [cs.CL]Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering
    Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, Christopher D. Manning
    http://arxiv.org/abs/2107.02331v1

    • [cs.CL]Probabilistic Graph Reasoning for Natural Proof Generation
    Changzhi Sun, Xinbo Zhang, Jiangjie Chen, Chun Gan, Yuanbin Wu, Jiaze Chen, Hao Zhou, Lei Li
    http://arxiv.org/abs/2107.02418v1

    • [cs.CL]Sarcasm Detection: A Comparative Study
    Hamed Yaghoobian, Hamid R. Arabnia, Khaled Rasheed
    http://arxiv.org/abs/2107.02276v1

    • [cs.CL]The NiuTrans End-to-End Speech Translation System \for IWSLT 2021 Offline Task
    Chen Xu, Xiaoqian Liu, Xiaowen Liu, Laohu Wang, Canan Huang, Tong Xiao, Jingbo Zhu
    http://arxiv.org/abs/2107.02444v1

    • [cs.CL]Transfer Learning for Improving Results on Russian Sentiment Datasets
    Anton Golubev, Natalia Loukachevitch
    http://arxiv.org/abs/2107.02499v1

    • [cs.CL]VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
    Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal
    http://arxiv.org/abs/2107.02681v1

    • [cs.CL]Weakly Supervised Named Entity Tagging with Learnable Logical Rules
    Jiacheng Li, Haibo Ding, Jingbo Shang, Julian McAuley, Zhe Feng
    http://arxiv.org/abs/2107.02282v1

    • [cs.CL]What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition
    Piotr Żelasko, Raghavendra Pappagari, Najim Dehak
    http://arxiv.org/abs/2107.02294v1

    • [cs.CR]Logic Locking at the Frontiers of Machine Learning: A Survey on Developments and Opportunities
    Dominik Sisejkovic, Lennart M. Reimann, Elmira Moussavi, Farhad Merchant, Rainer Leupers
    http://arxiv.org/abs/2107.01915v2

    • [cs.CV]A deep-learning—based multimodal depth-aware dynamic hand gesture recognition system
    Hasan Mahmud, Mashrur Mahmud Morshed, Md. Kamrul Hasan
    http://arxiv.org/abs/2107.02543v1

    • [cs.CV]Adapting Vehicle Detector to Target Domain by Adversarial Prediction Alignment
    Yohei Koga, Hiroyuki Miyazaki, Ryosuke Shibasaki
    http://arxiv.org/abs/2107.02411v1

    • [cs.CV]Anomaly Detection using Edge Computing in Video Surveillance System: Review
    Devashree R. Patrikar, Mayur Rajram Parate
    http://arxiv.org/abs/2107.02778v1

    • [cs.CV]Attention-based Adversarial Appearance Learning of Augmented Pedestrians
    Kevin Strauss, Artem Savkin, Federico Tombari
    http://arxiv.org/abs/2107.02673v1

    • [cs.CV]Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation
    Giammarco La Barbera, Pietro Gori, Haithem Boussaid, Bruno Belucci, Alessandro Delmonte, Jeanne Goulin, Sabine Sarnacki, Laurence Rouet, Isabelle Bloch
    http://arxiv.org/abs/2107.02655v1

    • [cs.CV]CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation
    Minha Kim, Shahroz Tariq, Simon S. Woo
    http://arxiv.org/abs/2107.02408v1

    • [cs.CV]Coarse-to-fine Semantic Localization with HD Map for Autonomous Driving in Structural Scenes
    Chengcheng Guo, Minjie Lin, Heyang Guo, Pengpeng Liang, Erkang Cheng
    http://arxiv.org/abs/2107.02557v1

    • [cs.CV]Combining EfficientNet and Vision Transformers for Video Deepfake Detection
    Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi
    http://arxiv.org/abs/2107.02612v1

    • [cs.CV]Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis
    Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas
    http://arxiv.org/abs/2107.02568v1

    • [cs.CV]Contrastive Multimodal Fusion with TupleInfoNCE
    Yunze Liu, Qingnan Fan, Shanghang Zhang, Hao Dong, Thomas Funkhouser, Li Yi
    http://arxiv.org/abs/2107.02575v1

    • [cs.CV]Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation
    Lang Nie, Chunyu Lin, Kang Liao, Shuaicheng Liu, Yao Zhao
    http://arxiv.org/abs/2107.02524v1

    • [cs.CV]Depth-supervised NeRF: Fewer Views and Faster Training for Free
    Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan
    http://arxiv.org/abs/2107.02791v1

    • [cs.CV]Detecting Outliers with Poisson Image Interpolation
    Jeremy Tan, Benjamin Hou, Thomas Day, John Simpson, Daniel Rueckert, Bernhard Kainz
    http://arxiv.org/abs/2107.02622v1

    • [cs.CV]DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis
    Sanket Biswas, Pau Riba, Josep Lladós, Umapada Pal
    http://arxiv.org/abs/2107.02638v1

    • [cs.CV]Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration
    Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Jayender Jagadeesan, William Wells III, Sarah Frisken, Kai Ma, Yefeng Zheng, Raymond Kai-yu Tong
    http://arxiv.org/abs/2107.02433v1

    • [cs.CV]Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation
    Yufei Wang, Haoliang Li, Lap-pui Chau, Alex C. Kot
    http://arxiv.org/abs/2107.02629v1

    • [cs.CV]End-To-End Data-Dependent Routing in Multi-Path Neural Networks
    Dumindu Tissera, Kasun Vithanage, Rukshan Wijessinghe, Subha Fernando, Ranga Rodrigo
    http://arxiv.org/abs/2107.02450v1

    • [cs.CV]Feature Fusion Vision Transformer Fine-Grained Visual Categorization
    Jun Wang, Xiaohan Yu, Yongsheng Gao
    http://arxiv.org/abs/2107.02341v1

    • [cs.CV]FloorLevel-Net: Recognizing Floor-Level Lines with Height-Attention-Guided Multi-task Learning
    Mengyang Wu, Wei Zeng, Chi-Wing Fu
    http://arxiv.org/abs/2107.02462v1

    • [cs.CV]Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation
    Takehiko Ohkawa, Takuma Yagi, Atsushi Hashimoto, Yoshitaka Ushiku, Yoichi Sato
    http://arxiv.org/abs/2107.02718v1

    • [cs.CV]From General to Specific: Online Updating for Blind Super-Resolution
    Shang Li, Guixuan Zhang, Zhengxiong Luo, Jie Liu, Zhi Zeng, Shuwu Zhang
    http://arxiv.org/abs/2107.02398v1

    • [cs.CV]GCN-Based Linkage Prediction for Face Clusteringon Imbalanced Datasets: An Empirical Study
    Huafeng Yang, Xingjian Chen, Fangyi Zhang, Guangyue Hei, Yunjie Wang, Rong Du
    http://arxiv.org/abs/2107.02477v1

    • [cs.CV]Generalizing Nucleus Recognition Model in Multi-source Images via Pruning
    Jiatong Cai, Chenglu Zhu, Can Cui, Honglin Li, Tong Wu, Shichuan Zhang, Lin Yang
    http://arxiv.org/abs/2107.02500v1

    • [cs.CV]Graph Convolution for Re-ranking in Person Re-identification
    Yuqi Zhang, Qian Qi, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin
    http://arxiv.org/abs/2107.02220v1

    • [cs.CV]HybrUR: A Hybrid Physical-Neural Solution for Unsupervised Underwater Image Restoration
    Shuaizheng Yan, Xingyu Chen, Zhengxing Wu, Jian Wang, Yue Lu, Min Tan, Junzhi Yu
    http://arxiv.org/abs/2107.02660v1

    • [cs.CV]Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction
    Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel
    http://arxiv.org/abs/2107.02630v1

    • [cs.CV]Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation
    Kai Ye, Yinru Ye, Minqian
    66c3
    g Yang, Bin Hu
    http://arxiv.org/abs/2107.02494v1

    • [cs.CV]Integrating Circle Kernels into Convolutional Neural Networks
    Kun He, Chao Li, Yixiao Yang, Gao Huang, John E. Hopcroft
    http://arxiv.org/abs/2107.02451v1

    • [cs.CV]Label noise in segmentation networks : mitigation must deal with bias
    Eugene Vorontsov, Samuel Kadoury
    http://arxiv.org/abs/2107.02189v1

    • [cs.CV]Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identification
    Mengxi Jia, Xinhua Cheng, Shijian Lu, Jian Zhang
    http://arxiv.org/abs/2107.02380v1

    • [cs.CV]Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling
    Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
    http://arxiv.org/abs/2107.02389v1

    • [cs.CV]LightFuse: Lightweight CNN based Dual-exposure Fusion
    Ziyi Liu, Jie Yang, Orly Yadid-Pecht
    http://arxiv.org/abs/2107.02299v1

    • [cs.CV]Long-Short Transformer: Efficient Transformers for Language and Vision
    Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro
    http://arxiv.org/abs/2107.02192v1

    • [cs.CV]MSE Loss with Outlying Label for Imbalanced Classification
    Sota Kato, Kazuhiro Hotta
    http://arxiv.org/abs/2107.02393v1

    • [cs.CV]Memory-aware curriculum federated learning for breast cancer classification
    Amelia Jiménez-Sánchez, Mickael Tardy, Miguel A. González Ballester, Diana Mateus, Gemma Piella
    http://arxiv.org/abs/2107.02504v1

    • [cs.CV]NRST: Non-rigid Surface Tracking from Monocular Video
    Marc Habermann, Weipeng Xu, Helge Rhodin, Michael Zollhoefer, Gerard Pons-Moll, Christian Theobalt
    http://arxiv.org/abs/2107.02407v1

    • [cs.CV]Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting
    Xiaomeng Chu, Jiajun Deng, Yao Li, Zhenxun Yuan, Yanyong Zhang, Jianmin Ji, Yu Zhang
    http://arxiv.org/abs/2107.02493v1

    • [cs.CV]On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving
    Takami Sato, Qi Alfred Chen
    http://arxiv.org/abs/2107.02488v1

    • [cs.CV]Point Cloud Registration using Representative Overlapping Points
    Lifa Zhu, Dongrui Liu, Changwei Lin, Rui Yan, Francisco Gómez-Fernández, Ninghua Yang, Ziyong Feng
    http://arxiv.org/abs/2107.02583v1

    • [cs.CV]Polarized skylight orientation determination artificial neural network
    Huaju Liang, Hongyang Bai, Ke Hu, Xinbo Lv
    http://arxiv.org/abs/2107.02328v1

    • [cs.CV]Predicate correlation learning for scene graph generation
    Leitian Tao, Li Mi, Nannan Li, Xianhang Cheng, Yaosi Hu, Zhenzhong Chen
    http://arxiv.org/abs/2107.02713v1

    • [cs.CV]Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization
    Long Zhuo, Shunquan Tan, Bin Li, Jiwu Huang
    http://arxiv.org/abs/2107.02434v1

    • [cs.CV]Semantic Segmentation Alternative Technique: Segmentation Domain Generation
    Ana-Cristina Rogoz, Radu Muntean, Stefan Cobeli
    http://arxiv.org/abs/2107.02525v1

    • [cs.CV]Semi-TCL: Semi-Supervised Track Contrastive Representation Learning
    Wei Li, Yuanjun Xiong, Shuo Yang, Mingze Xu, Yongxin Wang, Wei Xia
    http://arxiv.org/abs/2107.02396v1

    • [cs.CV]Similarity-Aware Fusion Network for 3D Semantic Segmentation
    Linqing Zhao, Jiwen Lu, Jie Zhou
    http://arxiv.org/abs/2107.01579v2

    • [cs.CV]Spatiotemporal Fusion in Remote Sensing
    Hessah Albanwan, Rongjun Qin
    http://arxiv.org/abs/2107.02701v1

    • [cs.CV]Stateless actor-critic for instance segmentation with high-level priors
    Paul Hilt, Edgar Kaziakhmedov, Sourabh Bhide, Maria Leptin, Constantin Pape, Anna Kreshuk
    http://arxiv.org/abs/2107.02600v1

    • [cs.CV]The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
    Ujjwal Baid, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Evan Calabrese, Errol Colak, Keyvan Farahani, Jayashree Kalpathy-Cramer, Felipe C. Kitamura, Sarthak Pati, Luciano M. Prevedello, Jeffrey D. Rudie, Chiharu Sako, Russell T. Shinohara, Timothy Bergquist, Rong Chai, James Eddy, Julia Elliott, Walter Reade, Thomas Schaffter, Thomas Yu, Jiaxin Zheng, BraTS Annotators, Christos Davatzikos, John Mongan, Christopher Hess, Soonmee Cha, Javier Villanueva-Meyer, John B. Freymann, Justin S. Kirby, Benedikt Wiestler, Priscila Crivellaro, Rivka R. Colen, Aikaterini Kotrotsou, Daniel Marcus, Mikhail Milchenko, Arash Nazeri, Hassan Fathallah-Shaykh, Roland Wiest, Andras Jakab, Marc-Andre Weber, Abhishek Mahajan, Bjoern Menze, Adam E. Flanders, Spyridon Bakas
    http://arxiv.org/abs/2107.02314v1

    • [cs.CV]TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
    Aljaž Božič, Pablo Palafox, Justus Thies, Angela Dai, Matthias Nießner
    http://arxiv.org/abs/2107.02191v1

    • [cs.CV]UACANet: Uncertainty Augmented Context Attention for Polyp Semgnetaion
    Taehun Kim, Hyemin Lee, Daijin Kim
    http://arxiv.org/abs/2107.02368v1

    • [cs.CV]Vision Xformers: Efficient Attention for Image Classification
    Pranav Jeevan, Amit Sethi
    http://arxiv.org/abs/2107.02239v1

    • [cs.CV]VolNet: Estimating Human Body Part Volumes from a Single RGB Image
    Fabian Leinen, Vittorio Cozzolino, Torsten Schön
    http://arxiv.org/abs/2107.02259v1

    • [cs.CV]iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis
    Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer
    http://arxiv.org/abs/2107.02790v1

    • [cs.CY]Developing and delivering a remote experiment based on the experiential learning framework during COVID-19 pandemic
    W. D. Kularatne, Lasanthika H. Dissawa, T. M. S. S. K. Ekanayake, Janaka B. Ekanayake
    http://arxiv.org/abs/2107.02777v1

    • [cs.DC]An MPI-based Algorithm for Mapping Complex Networks onto Hierarchical Architectures
    Maria Predari, Charilaos Tzovas, Christian Schulz, Henning Meyerhenke
    http://arxiv.org/abs/2107.02539v1

    • [cs.DC]Energy and Thermal-aware Resource Management of Cloud Data Centres: A Taxonomy and Future Directions
    Shashikant Ilager, Rajkumar Buyya
    http://arxiv.org/abs/2107.02342v1

    • [cs.DC]Exploring a Dynamic Ring without Landmark
    Archak Das, Kaustav Bose, Buddhadeb Sau
    http://arxiv.org/abs/2107.02769v1

    • [cs.DC]On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation
    Zimu Zheng, Qiong Chen, Chuang Hu, Dan Wang, Fangming Liu
    http://arxiv.org/abs/2107.02466v1

    • [cs.DC]Sustaining Performance While Reducing Energy Consumption: A Control Theory Approach
    Eric Rutten, Sophie Cerf, Raphaël Bleuse, Valentin Reis, Swann Perarnau
    http://arxiv.org/abs/2107.02426v1

    • [cs.DS]DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search
    Matti Karppa, Martin Aumüller, Rasmus Pagh
    http://arxiv.org/abs/2107.02736v1

    • [cs.IR]CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation
    Qiu Ruihong, Wang Sen, Chen Zhi, Yin Hongzhi, Huang Zi
    http://arxiv.org/abs/2107.02390v1

    • [cs.IR]Exploring the Scope of Using News Articles to Understand Development Patterns of Districts in India
    Mehak Gupta, Shayan Saifi, Konark Verma, Kumari Rekha, Aaditeshwar Seth
    http://arxiv.org/abs/2107.02765v1

    • [cs.IT]Asymptotic Analysis of Max-Min Weighted SINR for IRS-Assisted MISO Systems with Hardware Impairments
    Anastasios Papazafeiropoulos, Cunhua Pan, Ahmet Elbir, Van Nguyen, Pandelis Kourtessis, Symeon Chatzinotas
    http://arxiv.org/abs/2107.02626v1

    • [cs.IT]Complete weight enumerators for several classes of two-weight and three-weight linear codes
    Canze Zhu, Qunying Liao
    http://arxiv.org/abs/2107.02447v1

    • [cs.IT]Connecting Spatially Coupled LDPC Code Chains for Bit-Interleaved Coded Modulation
    Yihuan Liao, Min Qiu, Jinhong Yuan
    http://arxiv.org/abs/2107.02327v1

    • [cs.IT]GBLinks: GNN-based beam selection and link activation for ultra-dense D2D mmWave networks
    S. He, S. Xiong, W. Zhang, Y. Yang, J. Ren, Y. Huang
    http://arxiv.org/abs/2107.02412v1

    • [cs.IT]Irregular Invertible Bloom Look-Up Tables
    Francisco Lázaro, Balázs Matuz
    http://arxiv.org/abs/2107.02573v1

    • [cs.IT]Network-Coded Cooperative LoRa Network with D2D Communication
    L. H. O. Alves, J. L. Rebelatto, R. D. Souza, G. Brante
    http://arxiv.org/abs/2107.02712v1

    • [cs.IT]Optimum GSSK Transmission in Massive MIMO Systems Using the Box-LASSO Decoder
    Ayed M. Alrashdi, Abdullah E. Alrashdi, Mohamed A. H. Eleiwa
    http://arxiv.org/abs/2107.01870v2

    • [cs.IT]Performance Analysis of Regularized Convex Relaxation for Complex-Valued Data Detection (Extended Version)
    Ayed M. Alrashdi, Houssem Sifaou, Tareq Y. Al-Naffouri
    http://arxiv.org/abs/2107.02288v1

    • [cs.IT]Turbo Coded Single User Massive MIMO
    K. Vasudevan, A. Phani Kumar Reddy, Gyanesh Kumar Pathak, Mahmoud Albreem
    http://arxiv.org/abs/2107.02437v1

    • [cs.IT]Two new classes of projective two-weight linear codes
    Canze Zhu, Qunying Liao
    http://arxiv.org/abs/2107.02446v1

    • [cs.LG]“Garbage In, Garbage Out” Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data?
    R. Stuart Geiger, Dominique Cope, Jamie Ip, Marsha Lotosh, Aayush Shah, Jenny Weng, Rebekah Tang
    http://arxiv.org/abs/2107.02278v1

    • [cs.LG]A Multi-Objective Approach for Sustainable Generative Audio Models
    Constance Douwes, Philippe Esling, Jean-Pierre Briot
    http://arxiv.org/abs/2107.02621v1

    • [cs.LG]A Short Note on the Relationship of Information Gain and Eluder Dimension
    Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei
    http://arxiv.org/abs/2107.02377v1

    • [cs.LG]A Unified Off-Policy Evaluation Approach for General Value Function
    Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang
    http://arxiv.org/abs/2107.02711v1

    • [cs.LG]A comparison of LSTM and GRU networks for learning symbolic sequences
    Roberto Cahuantzi, Xinye Chen, Stefan Güttel
    http://arxiv.org/abs/2107.02248v1

    • [cs.LG]AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
    Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang
    http://arxiv.org/abs/2107.02729v1

    • [cs.LG]Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems
    Shashank Hegde, Anssi Kanervisto, Aleksei Petrenko
    http://arxiv.org/abs/2107.02195v1

    • [cs.LG]An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels
    Yong Wen, Marcus Kalander, Chanfei Su, Lujia Pan
    http://arxiv.org/abs/2107.02347v1

    • [cs.LG]An Evaluation of Machine Learning and Deep Learning Models for Drought Prediction using Weather Data
    Weiwei Jiang, Jiayun Luo
    http://arxiv.org/abs/2107.02517v1

    • [cs.LG]An Inverse QSAR Method Based on Linear Regression and Integer Programming
    Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu
    http://arxiv.org/abs/2107.02381v1

    • [cs.LG]BAGUA: Scaling up Distributed Learning with System Relaxations
    Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang, Ji Liu, Ce Zhang
    http://arxiv.org/abs/2107.01499v2

    • [cs.LG]Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence
    Po-Kan Shih, Bahman Moraffah
    http://arxiv.org/abs/2107.02431v1

    • [cs.LG]Causal Bandits on General Graphs
    Aurghya Maiti, Vineet Nair, Gaurav Sinha
    http://arxiv.org/abs/2107.02772v1

    • [cs.LG]Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity
    Artem Vysogorets, Julia Kempe
    http://arxiv.org/abs/2107.02306v1

    • [cs.LG]Counterfactual Explanations in Sequential Decision Making Under Uncertainty
    Stratis Tsirtsis, Abir De, Manuel Gomez-Rodriguez
    http://arxiv.org/abs/2107.02776v1

    • [cs.LG]DTGAN: Differential Private Training for Tabular GANs
    Aditya Kunar, Robert Birke, Lydia Chen, Zilong Zhao
    http://arxiv.org/abs/2107.02521v1

    • [cs.LG]Data-Driven Learning of Feedforward Neural Networks with Different Activation Functions
    Grzegorz Dudek
    http://arxiv.org/abs/2107.01702v2

    • [cs.LG]Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs
    Sourav Dutta, Peter Rivera-Casillas, Orie M. Cecil, Matthew W. Farthing, Emma Perracchione, Mario Putti
    http://arxiv.org/abs/2107.02784v1

    • [cs.LG]Deep Network Approximation With Accuracy Independent of Number of Neurons
    Zuowei Shen, Haizhao Yang, Shijun Zhang
    http://arxiv.org/abs/2107.02397v1

    • [cs.LG]Deep Visual Attention-Based Transfer Clustering
    Akshaykumar Gunari, Shashidhar Veerappa Kudari, Sukanya Nadagadalli, Keerthi Goudnaik, Ramesh Ashok Tabib, Uma Mudenagudi, Adarsh Jamadandi
    http://arxiv.org/abs/2107.02415v1

    • [cs.LG]DeepCEL0 for 2D Single Molecule Localization in Fluorescence Microscopy
    Pasquale Cascarano, Maria Colomba Comes, Andrea Sebastiani, Arianna Mencattini, Elena Loli Piccolomini, Eugenio Martinelli
    http://arxiv.org/abs/2107.02281v1

    • [cs.LG]DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations
    J. Wang, X. Liu, S. Shen, L. Deng, H. Liu*
    http://arxiv.org/abs/2107.02467v1

    • [cs.LG]Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
    Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
    http://arxiv.org/abs/2107.02392v1

    • [cs.LG]Discrete-Valued Neural Communication
    Dianbo Liu Dianbo_Liu, Alex Lamb, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael Curtis Mozer, Yoshua Bengio
    http://arxiv.org/abs/2107.02367v1

    • [cs.LG]Does Dataset Complexity Matters for Model Explainers?
    José Ribeiro, Raíssa Silva, Ronnie Alves
    http://arxiv.org/abs/2107.02661v1

    • [cs.LG]Dueling Bandits with Adversarial Sleeping
    Aadirupa Saha, Pierre Gaillard
    http://arxiv.org/abs/2107.02274v1

    • [cs.LG]Dueling Bandits with Team Comparisons
    Lee Cohen, Ulrike Schmidt-Kraepelin, Yishay Mansour
    http://arxiv.org/abs/2107.02738v1

    • [cs.LG]Dynamical System Parameter Identification using Deep Recurrent Cell Networks
    Erdem Akagündüz, Oguzhan Cifdaloz
    http://arxiv.org/abs/2107.02427v1

    • [cs.LG]EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data
    Florian Haselbeck, Dominik G. Grimm
    http://arxiv.org/abs/2107.02463v1

    • [cs.LG]Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification
    Jana Lang, Martin A. Giese, Matthis Synofzik, Winfried Ilg, Sebastian Otte
    http://arxiv.org/abs/2107.02442v1

    • [cs.LG]Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
    Dylan J. Foster, Akshay Krishnamurthy
    http://arxiv.org/abs/2107.02237v1

    • [cs.LG]End-to-End Weak Supervision
    Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski
    http://arxiv.org/abs/2107.02233v1

    • [cs.LG]Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning
    Muhammad Rizki Maulana, Wee Sun Lee
    http://arxiv.org/abs/2107.01904v2

    • [cs.LG]Equivariant bifurcation, quadratic equivariants, and symmetry breaking for the standard representation of 今日学术视野(2021.7.8) - 图2
    Yossi Arjevani, Michael Field
    http://arxiv.org/abs/2107.02422v1

    • [cs.LG]Evaluating subgroup disparity using epistemic uncertainty in mammography
    Charles Lu, Andreanne Lemay, Katharina Hoebel, Jayashree Kalpathy-Cramer
    http://arxiv.org/abs/2107.02716v1

    • [cs.LG]Featurized Density Ratio Estimation
    Kristy Choi, Madeline Liao, Stefano Ermon
    http://arxiv.org/abs/2107.02212v1

    • [cs.LG]FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems
    Van-Dinh Nguyen, Symeon Chatzinotas, Bjorn Ottersten, Trung Q. Duong
    http://arxiv.org/abs/2107.02755v1

    • [cs.LG]Generalization by design: Shortcuts to Generalization in Deep Learning
    Petr Taborsky, Lars Kai Hansen
    http://arxiv.org/abs/2107.02253v1

    • [cs.LG]GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization
    Sungyoon Lee, Hoki Kim, Jaewook Lee
    http://arxiv.org/abs/2107.02425v1

    • [cs.LG]Improving Text-to-Image Synthesis Using Contrastive Learning
    Hui Ye, Xiulong Yang, Martin Takac, Rajshekhar Sunderraman, Shihao Ji
    http://arxiv.org/abs/2107.02423v1

    • [cs.LG]Intrinsic uncertainties and where to find them
    Francesco Farina, Lawrence Phillips, Nicola J Richmond
    http://arxiv.org/abs/2107.02526v1

    • [cs.LG]Isotonic Data Augmentation for Knowledge Distillation
    Wanyun Cui, Sen Yan
    http://arxiv.org/abs/2107.01412v2

    • [cs.LG]Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks
    Jun Shu, Deyu Meng, Zongben Xu
    http://arxiv.org/abs/2107.02378v1

    • [cs.LG]Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case
    Shruthi Chari, Prithwish Chakraborty, Mohamed Ghalwash, Oshani Seneviratne, Elif K. Eyigoz, Daniel M. Gruen, Ching-Hua Chen, Pablo Meyer Rojas, Deborah L. McGuinness
    http://arxiv.org/abs/2107.02359v1

    • [cs.LG]Memory-Sample Lower Bounds for Learning Parity with Noise
    Sumegha Garg, Pravesh K. Kothari, Pengda Liu, Ran Raz
    http://arxiv.org/abs/2107.02320v1

    • [cs.LG]Meta-learning Amidst Heterogeneity and Ambiguity
    Kyeongryeol Go, Seyoung Yun
    http://arxiv.org/abs/2107.02228v1

    • [cs.LG]Multi-Level Graph Contrastive Learning
    Pengpeng Shao, Tong Liu, Dawei Zhang, Jianhua Tao, Feihu Che, Guohua Yang
    http://arxiv.org/abs/2107.02639v1

    • [cs.LG]Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning
    Kaiqi Chen, Yong Lee, Harold Soh
    http://arxiv.org/abs/2107.02339v1

    • [cs.LG]Neural Mixture Models with Expectation-Maximization for End-to-end Deep Clustering
    Dumindu Tissera, Kasun Vithanage, Rukshan Wijesinghe, Alex Xavier, Sanath Jayasena, Subha Fernando, Ranga Rodrigo
    http://arxiv.org/abs/2107.02453v1

    • [cs.LG]On Generalization of Graph Autoencoders with Adversarial Training
    Tianjin huang, Yulong Pei, Vlado Menkovski, Mykola Pechenizkiy
    http://arxiv.org/abs/2107.02658v1

    • [cs.LG]Physics-Informed Graph Learning for Robust Fault Location in Distribution Systems
    Wenting Li, Deepjyoti Deka
    http://arxiv.org/abs/2107.02275v1

    • [cs.LG]Prioritized training on points that are learnable, worth learning, and not yet learned
    Sören Mindermann, Muhammed Razzak, Winnie Xu, Andreas Kirsch, Mrinank Sharma, Adrien Morisot, Aidan N. Gomez, Sebastian Farquhar, Jan Brauner, Yarin Gal
    http://arxiv.org/abs/2107.02565v1

    • [cs.LG]Provable Lipschitz Certification for Generative Models
    Matt Jordan, Alexandros G. Dimakis
    http://arxiv.org/abs/2107.02732v1

    • [cs.LG]Remote sensing, AI and innovative prediction methods for adapting cities to the impacts of the climate change
    Beril Sirmacek
    http://arxiv.org/abs/2107.02693v1

    • [cs.LG]Rethinking Positional Encoding
    Jianqiao Zheng, Sameera Ramasinghe, Simon Lucey
    http://arxiv.org/abs/2107.02561v1

    • [cs.LG]Shell Language Processing: Unix command parsing for Machine Learning
    Dmitrijs Trizna
    http://arxiv.org/abs/2107.02438v1

    • [cs.LG]SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging
    Miao Zhang, Liangqiong Qu, Praveer Singh, Jayashree Kalpathy-Cramer, Daniel L. Rubin
    http://arxiv.org/abs/2107.02375v1

    • [cs.LG]The QR decomposition for radial neural networks
    Iordan Ganev, Robin Walters
    http://arxiv.org/abs/2107.02550v1

    • [cs.LG]Weighted Gaussian Process Bandits for Non-stationary Environments
    Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness Shroff
    http://arxiv.org/abs/2107.02371v1

    • [cs.LO]Proof Generation in CDSAT
    Maria Paola Bonacina
    http://arxiv.org/abs/2107.02351v1

    • [cs.MA]Effects of Smart Traffic Signal Control on Air Quality
    Paolo Fazzini, Marco Torre, Valeria Rizza, Francesco Petracchini
    http://arxiv.org/abs/2107.02361v1

    • [cs.NE]High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network
    Pranav O. Mathews, Christian B. Duffee, Abel Thayil, Ty E. Stovall, Christopher H. Bennett, Felipe Garcia-Sanchez, Matthew J. Marinella, Jean Anne C. Incorvia, Naimul Hassan, Xuan Hu, Joseph S. Friedman
    http://arxiv.org/abs/2107.02238v1

    • [cs.NE]Neural Computing
    Ayushe Gangal, Peeyush Kumar, Sunita Kumari, Aditya Kumar
    http://arxiv.org/abs/2107.02744v1

    • [cs.RO]A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition
    Nikhil Varma Keetha, Michael Milford, Sourav Garg
    http://arxiv.org/abs/2107.02440v1

    • [cs.RO]Approximate Topological Optimization using Multi-Mode Estimation for Robot Motion Planning
    Andreas Orthey, Florian T. Pokorny, Marc Toussaint
    http://arxiv.org/abs/2107.02498v1

    • [cs.RO]Autonomous Robotic Endoscope Control based on Semantically Rich Instructions
    Caspar Gruijthuijsen, Luis C. Garcia-Peraza-Herrera, Gianni Borghesan, Dominiek Reynaerts, Jan Deprest, Sebastien Ourselin, Tom Vercauteren, Emmanuel Vander Poorten
    http://arxiv.org/abs/2107.02317v1

    • [cs.RO]Best Axes Composition: Multiple Gyroscopes IMU Sensor Fusion to Reduce Systematic Error
    Marsel Faizullin, Gonzalo Ferrer
    http://arxiv.org/abs/2107.02632v1

    • [cs.RO]DL-AMP and DBTO: An Automatic Merge Planning and Trajectory Optimization and Its Application in Autonomous Driving
    Yuncheng Jiang, Qi Lin, Jiwei Zhang, Jun Wang, Danjian Qian, Yuxi Cai
    http://arxiv.org/abs/2107.02413v1

    • [cs.RO]Fast-Learning Grasping and Pre-Grasping via Clutter Quantization and Q-map Masking
    Dafa Ren, Xiaoqiang Ren, Xiaofan Wang, S. Tejaswi Digumarti, Guodong Shi
    http://arxiv.org/abs/2107.02452v1

    • [cs.RO]Geometrical Postural Optimisation of 7-DoF Limb-Like Manipulators
    Carlo Tiseo, Sydney Rebecca Charitos, Michael Mistry
    http://arxiv.org/abs/2107.02715v1

    • [cs.RO]Learned Visual Navigation for Under-Canopy Agricultural Robots
    Arun Narenthiran Sivakumar, Sahil Modi, Mateus Valverde Gasparino, Che Ellis, Andres Eduardo Baquero Velasquez, Girish Chowdhary, Saurabh Gupta
    http://arxiv.org/abs/2107.02792v1

    • [cs.RO]Learning a Generative Transition Model for Uncertainty-Aware Robotic Manipulation
    Lars Berscheid, Pascal Meißner, Torsten Kröger
    http://arxiv.org/abs/2107.02464v1

    • [cs.RO]Multi-Modal Motion Planning Using Composite Pose Graph Optimization
    L. Lao Beyer, N. Balabanska, E. Tal, S. Karaman
    http://arxiv.org/abs/2107.02384v1

    • [cs.RO]Open-Source LiDAR Time Synchronization System by Mimicking GPS-clock
    Marsel Faizullin, Anastasiia Kornilova, Gonzalo Ferrer
    http://arxiv.org/abs/2107.02625v1

    • [cs.RO]Pedestrian Emergence Estimation and Occlusion-Aware Risk Assessment for Urban Autonomous Driving
    Mert Koc, Ekim Yurtsever, Keith Redmill, Umit Ozguner
    http://arxiv.org/abs/2107.02326v1

    • [cs.RO]Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections
    Dylan P. Losey, Andrea Bajcsy, Marcia K. O’Malley, Anca D. Dragan
    http://arxiv.org/abs/2107.02349v1

    • [cs.RO]Real-Time Motion Planning of a Hydraulic Excavator using Trajectory Optimization and Model Predictive Control
    Dongjae Lee, Inkyu Jang, Jeonghyun Byun, Hoseong Seo, H. Jin Kim
    http://arxiv.org/abs/2107.02366v1

    • [cs.RO]Real-time Pose Estimation from Images for Multiple Humanoid Robots
    Arash Amini, Hafez Farazi, Sven Behnke
    http://arxiv.org/abs/2107.02675v1

    • [cs.RO]Tactile Sensing with a Tendon-Driven Soft Robotic Finger
    Chang Cheng, Yadong Yan, Mingjun Guan, Jianan Zhang, Yu Wang
    http://arxiv.org/abs/2107.02546v1

    • [cs.RO]Targeted Muscle Effort Distribution with Exercise Robots: Trajectory and Resistance Effects
    Humberto De las Casas, Santino Bianco, Hanz Richter
    http://arxiv.org/abs/rg/abs/2107.01280v1

    • [cs.SD]AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style
    Yuzi Yan, Xu Tan, Bohan Li, Guangyan Zhang, Tao Qin, Sheng Zhao, Yuan Shen, Wei-Qiang Zhang, Tie-Yan Liu
    http://arxiv.org/abs/2107.02530v1

    • [cs.SD]Self-training with noisy student model and semi-supervised loss function for dcase 2021 challenge task 4
    Nam Kyun Kim, Hong Kook Kim
    http://arxiv.org/abs/2107.02569v1

    • [cs.SE]A Model-Driven Engineering Approach to Machine Learning and Software Modeling
    Armin Moin, Atta Badii, Stephan Günnemann
    http://arxiv.org/abs/2107.02689v1

    • [cs.SE]An Evolutionary Algorithm for Task Scheduling in Crowdsourced Software Development
    Razieh Saremi, Hardik Yagnik, Julian Togelius, Ye Yang, Guenther Ruhe
    http://arxiv.org/abs/2107.02202v1

    • [cs.SE]Enabling Un-/Semi-Supervised Machine Learning for MDSE of the Real-World CPS/IoT Applications
    Armin Moin, Atta Badii, Stephan Günnemann
    http://arxiv.org/abs/2107.02690v1

    • [cs.SE]ML-Quadrat & DriotData: A Model-Driven Engineering Tool and a Low-Code Platform for Smart IoT Services
    Armin Moin, Andrei Mituca, Atta Badii, Stephan Günnemann
    http://arxiv.org/abs/2107.02692v1

    • [cs.SE]Nobody of the Crowd: An Empirical Evaluation on Worker Clustering in Topcoder
    Razieh Saremi, Hamid Shamszare, Marzieh Lotfalian Saremi, Ye Yang
    http://arxiv.org/abs/2107.02221v1

    • [cs.SI]Information Access Equality on Network Generative Models
    Xindi Wang, Onur Varol, Tina Eliassi-Rad
    http://arxiv.org/abs/2107.02263v1

    • [cs.SI]Temporal Nuances of Coordination Networks
    Derek Weber, Lucia Falzon
    http://arxiv.org/abs/2107.02588v1

    • [cs.SI]Temporal Nuances of Coordination Networks
    Derek Weber, Lucia Falzon
    http://arxiv.org/abs/2107.0258
    7329
    8v1
    7329
    8v1)

    • [cs.SI]The Hyperspherical Geometry of Community Detection: Modularity as a Distance
    Martijn Gösgens, Remco van der Hofstad, Nelly Litvak
    http://arxiv.org/abs/2107.02645v1

    • [cs.SI]Using Localized Twitter Activity for Red Tide Impact Assessment
    A. Skripnikov, N. Wagner, J. Shafer, M. Beck, E. Sherwood, M. Burke
    http://arxiv.org/abs/2107.02677v1

    • [econ.EM]Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy
    Anish Agarwal, Rahul Singh
    http://arxiv.org/abs/2107.02780v1

    • [eess.AS]Location, Location: Enhancing the Evaluation of Text-to-Speech Synthesis Using the Rapid Prosody Transcription Paradigm
    Elijah Gutierrez, Pilar Oplustil-Gallegos, Catherine Lai
    http://arxiv.org/abs/2107.02527v1

    • [eess.IV]A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
    Dror Freirich, Tomer Michaeli, Ron Meir
    http://arxiv.org/abs/2107.02555v1

    • [eess.IV]A new smart-cropping pipeline for prostate segmentation using deep learning networks
    Dimitrios G. Zaridis, Eugenia Mylona, Kostas Marias, Nikolaos Papanikolaou, Nikolaos S. Tachos, Dimitrios I. Fotiadis
    http://arxiv.org/abs/2107.02476v1

    • [eess.IV]Automated age-related macular degeneration area estimation — first results
    Rokas Pečiulis, Mantas Lukoševičius, Algimantas Kriščiukaitis, Robertas Petrolis, Dovilė Buteikienė
    http://arxiv.org/abs/2107.02211v1

    • [eess.IV]COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures
    Nam Nguyen, J. Morris Chang
    http://arxiv.org/abs/2107.02672v1

    • [eess.IV]Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps
    Samuel Budd, Matthew Sinclair, Thomas Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jaqueline Matthew, Emily Skelton, John Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz
    http://arxiv.org/abs/2107.02643v1

    • [eess.IV]Differentially private federated deep learning for multi-site medical image segmentation
    Alexander Ziller, Dmitrii Usynin, Nicolas Remerscheid, Moritz Knolle, Marcus Makowski, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
    http://arxiv.org/abs/2107.02586v1

    • [eess.IV]Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography
    Ricky Chen, Timothy T. Yu, Gavin Xu, Da Ma, Marinko V. Sarunic, Mirza Faisal Beg
    http://arxiv.org/abs/2107.02345v1

    • [eess.IV]Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy
    Debesh Jha, Sharib Ali, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen
    http://arxiv.org/abs/2107.02319v1

    • [eess.IV]Histogram of Cell Types: Deep Learning for Automated Bone Marrow Cytology
    Rohollah Moosavi Tayebi, Youqing Mu, Taher Dehkharghanian, Catherine Ross, Monalisa Sur, Ronan Foley, Hamid R. Tizhoosh, Clinton JV Campbell
    http://arxiv.org/abs/2107.02293v1

    • [eess.IV]Impact of deep learning-based image super-resolution on binary signal detection
    Xiaohui Zhang, Varun A. Kelkar, Jason Granstedt, Hua Li, Mark A. Anastasio
    http://arxiv.org/abs/2107.02338v1

    • [eess.IV]Total Nitrogen Estimation in Agricultural Soils via Aerial Multispectral Imaging and LIBS
    Md Abir Hossen, Prasoon K Diwaka, Shankarachary Ragi
    http://arxiv.org/abs/2107.02355v1

    • [eess.IV]Unsupervised Knowledge-Transfer for Learned Image Reconstruction
    Riccardo Barbano, Zeljko Kereta, Andreas Hauptmann, Simon R. Arridge, Bangti Jin
    http://arxiv.org/abs/2107.02572v1

    • [eess.IV]Unsupervised learning of MRI tissue properties using MRI physics models
    Divya Varadarajan, Katherine L. Bouman, Andre van der Kouwe, Bruce Fischl, Adrian V. Dalca
    http://arxiv.org/abs/2107.02704v1

    • [eess.SP]Deep Learning Methods for Joint Optimization of Beamforming and Fronthaul Quantization in Cloud Radio Access Networks
    Daesung Yu, Hoon Lee, Seok-Hwan Park, Seung-Eun Hong
    http://arxiv.org/abs/2107.02520v1

    • [math.NA]Galerkin—Chebyshev approximation of Gaussian random fields on compact Riemannian manifolds
    Annika Lang, Mike Pereira
    http://arxiv.org/abs/2107.02667v1

    • [math.NA]Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference
    Nihar Sawant, Boris Kramer, Benjamin Peherstorfer
    http://arxiv.org/abs/2107.02597v1

    • [math.PR]Normal and stable approximation to subgraph counts in superpositions of Bernoulli random graphs
    Mindaugas Bloznelis, Joona Karjalainen, Lasse Leskelä
    http://arxiv.org/abs/2107.02683v1

    • [math.ST]A provable two-stage algorithm for penalized hazards regression
    Jianqing Fan, Wenyan Gong, Qiang Sun
    http://arxiv.org/abs/2107.02730v1

    • [math.ST]Goodness-of-fit testing for Hölder continuous densities under local differential privacy
    Amandine Dubois, Thomas Berrett, Cristina Butucea
    http://arxiv.org/abs/2107.02439v1

    • [math.ST]Inference for Low-Rank Models
    Victor Chernozhukov, Christian Hansen, Yuan Liao, Yinchu Zhu
    http://arxiv.org/abs/2107.02602v1

    • [math.ST]Near-optimal inference in adaptive linear regression
    Koulik Khamaru, Yash Deshpande, Lester Mackey, Martin J. Wainwright
    http://arxiv.org/abs/2107.02266v1

    • [physics.plasm-ph]A Deep Learning-Based Particle-in-Cell Method for Plasma Simulations
    Xavier Aguilar, Stefano Markidis
    http://arxiv.org/abs/2107.02232v1

    • [physics.soc-ph]Growing Urban Bicycle Networks
    Michael Szell, Sayat Mimar, Tyler Perlman, Gourab Ghoshal, Roberta Sinatra
    http://arxiv.org/abs/2107.02185v1

    • [physics.soc-ph]The global migration network of sex-workers
    Luis E C Rocha, Petter Holme, Claudio D G Linhares
    http://arxiv.org/abs/2107.02633v1

    • [physics.soc-ph]The hidden dependence of spreading vulnerability on topological complexity
    Mark M. Dekker, Raoul D. Schram, Jiamin Ou, Debabrata Panja
    http://arxiv.org/abs/2107.01651v2

    • [q-fin.RM]Approximations to ultimate ruin probabilities with a Wienner process perturbation
    Yacine Koucha, Alfredo D. Egidio dos Reis
    http://arxiv.org/abs/2107.02537v1

    • [q-fin.RM]Collaborative Insurance Sustainability and Network Structure
    Arthur Charpentier, Lariosse Kouakou, Matthias Löwe, Philipp Ratz, Franck Vermet
    http://arxiv.org/abs/2107.02764v1

    • [q-fin.ST]Clustering Structure of Microstructure Measures
    Liao Zhu, Ningning Sun, Martin T. Wells
    http://arxiv.org/abs/2107.02283v1

    • [quant-ph]On a tracial version of Haemers bound
    Li Gao, Sander Gribling, Yinan Li
    http://arxiv.org/abs/2107.02567v1

    • [stat.AP]Face masks, vaccination rates and low crowding drive the demand for the London Underground during the COVID-19 pandemic
    Prateek Bansal, Roselinde Kessels, Rico Krueger, Daniel J Graham
    http://arxiv.org/abs/2107.02394v1

    • [stat.ME]Distributed Adaptive Huber Regression
    Jiyu Luo, Qiang Sun, Wenxin Zhou
    http://arxiv.org/abs/2107.02726v1

    • [stat.ME]Fast, universal estimation of latent variable models using extended variational approximations
    Pekka Korhonen, Francis K. C. Hui, Jenni Niku, Sara Taskinen
    http://arxiv.org/abs/2107.02627v1

    • [stat.ME]Hierarchical clustered multiclass discriminant analysis via cross-validation
    Kei Hirose, Kanta Miura, Atori Koie
    http://arxiv.org/abs/2107.02324v1

    • [stat.ME]Nonparametric quantile regression for time series with replicated observations and its application to climate data
    Soudeep Deb, Kaushik Jana
    http://arxiv.org/abs/2107.02091v2

    • [stat.ME]Optimal Estimation of Brownian Penalized Regression Coefficients
    Paramahansa Pramanik, Alan M. Polansky
    http://arxiv.org/abs/2107.02291v1

    • [stat.ME]T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs
    Changwoo J. Lee, Zhao Tang Luo, Huiyan Sang
    http://arxiv.org/abs/2107.02510v1

    • [stat.ME]Testing for the Presence of Structural Change and Spatial Heterogeneity
    Ruby Anne E. Lemence, Erniel B. Barrios
    http://arxiv.org/abs/2107.02417v1

    • [stat.ML]Asymptotics of Network Embeddings Learned via Subsampling
    Andrew Davison, Morgane Austern
    http://arxiv.org/abs/2107.02363v1

    • [stat.ML]Implicit Variational Conditional Sampling with Normalizing Flows
    Vincent Moens, Aivar Sootla, Haitham Bou Ammar, Jun Wang
    http://arxiv.org/abs/2107.02474v1

    • [stat.ML]InfoNCE is a variational autoencoder
    Laurence Aitchison
    http://arxiv.org/abs/2107.02495v1

    • [stat.ML]Midwifery Learning and Forecasting: Predicting Content Demand with User-Generated Logs
    Anna Guitart, Ana Fernández del Río, África Periáñez
    http://arxiv.org/abs/2107.02480v1

    • [stat.OT]A nonBayesian view of Hempel’s paradox of the ravens
    Yudi Pawitan
    http://arxiv.org/abs/2107.02522v1