cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.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 eess.SY - 系统和控制 math.DG - 微分几何 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-bio.NC - 神经元与认知 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
• [cond-mat.supr-con]Reservoir Computing with Superconducting Electronics
• [cs.AI]Cost Optimal Planning as Satisfiability
• [cs.AI]Design of an Affordable Prosthetic Arm Equipped with Deep Learning Vision-Based Manipulation
• [cs.AI]Filter-Based Abstractions with Correctness Guarantees for Planning under Uncertainty
• [cs.AI]Reinforcement Learning with External Knowledge by using Logical Neural Networks
• [cs.AI]User Preferential Tour Recommendation Based on POI-Embedding Methods
• [cs.AI]Video Sentiment Analysis with Bimodal Information-augmented Multi-Head Attention
• [cs.CE]IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures
• [cs.CL]A Data-Centric Framework for Composable NLP Workflows
• [cs.CL]An Attention Based Neural Network for Code Switching Detection: English & Roman Urdu
• [cs.CL]An Empirical Study of Compound PCFGs
• [cs.CL]An End-to-End Network for Emotion-Cause Pair Extraction
• [cs.CL]An Iterative Contextualization Algorithm with Second-Order Attention
• [cs.CL]CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge
• [cs.CL]Combining Prediction and Interpretation in Decision Trees (PrInDT) — a Linguistic Example
• [cs.CL]Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing
• [cs.CL]Detecting Extraneous Content in Podcasts
• [cs.CL]Few-shot Learning for Slot Tagging with Attentive Relational Network
• [cs.CL]Gradual Fine-Tuning for Low-Resource Domain Adaptation
• [cs.CL]Lex2vec: making Explainable Word Embedding via Distant Supervision
• [cs.CL]Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
• [cs.CL]NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation
• [cs.CL]NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands
• [cs.CL]OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Model
• [cs.CL]Random Feature Attention
• [cs.CL]Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation
• [cs.CR]Talaria: A Framework for Simulation of Permissioned Blockchains for Logistics and Beyond
• [cs.CV]: Learnable Sparse Signal Superdensity for Guided Depth Estimation
• [cs.CV]Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
• [cs.CV]An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks
• [cs.CV]Augmentation Strategies for Learning with Noisy Labels
• [cs.CV]Bulk Production Augmentation Towards Explainable Melanoma Diagnosis
• [cs.CV]CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds
• [cs.CV]Cooking Object’s State Identification Without Using Pretrained Model
• [cs.CV]Cross-View Regularization for Domain Adaptive Panoptic Segmentation
• [cs.CV]Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks
• [cs.CV]DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization
• [cs.CV]DeepFake-o-meter: An Open Platform for DeepFake Detection
• [cs.CV]Domain and View-point Agnostic Hand Action Recognition
• [cs.CV]Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms
• [cs.CV]EaZy Learning: An Adaptive Variant of Ensemble Learning for Fingerprint Liveness Detection
• [cs.CV]EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation
• [cs.CV]EnD: Entangling and Disentangling deep representations for bias correction
• [cs.CV]Energy-Based Learning for Scene Graph Generation
• [cs.CV]Event-based Synthetic Aperture Imaging
• [cs.CV]FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation
• [cs.CV]FSDR: Frequency Space Domain Randomization for Domain Generalization
• [cs.CV]General Instance Distillation for Object Detection
• [cs.CV]Group-wise Inhibition based Feature Regularization for Robust Classification
• [cs.CV]HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline
• [cs.CV]House-GAN++: Generative Adversarial Layout Refinement Networks
• [cs.CV]ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans
• [cs.CV]ID-Unet: Iterative Soft and Hard Deformation for View Synthesis
• [cs.CV]K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments
• [cs.CV]K-means Segmentation Based-on Lab Color Space for Embryo Egg Detection
• [cs.CV]LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment
• [cs.CV]Material Measurement Units: Foundations Through a Survey
• [cs.CV]Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Data
• [cs.CV]MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions
• [cs.CV]Multi-attentional Deepfake Detection
• [cs.CV]Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation
• [cs.CV]Neural 3D Video Synthesis
• [cs.CV]Non-local Channel Aggregation Network for Single Image Rain Removal
• [cs.CV]On the role of depth predictions for 3D human pose estimation
• [cs.CV]OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
• [cs.CV]PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics
• [cs.CV]PML: Progressive Margin Loss for Long-tailed Age Classification
• [cs.CV]Pseudo-labeling for Scalable 3D Object Detection
• [cs.CV]Robust Place Recognition using an Imaging Lidar
• [cs.CV]Self-Distribution Binary Neural Networks
• [cs.CV]Self-supervised Pretraining of Visual Features in the Wild
• [cs.CV]Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
• [cs.CV]Sequence-Based Filtering for Visual Route-Based Navigation: Analysing the Benefits, Trade-offs and Design Choices
• [cs.CV]Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place Recognition
• [cs.CV]Shape-driven Coordinate Ordering for Star Glyph Sets via Reinforcement Learning
• [cs.CV]Simulating time to event prediction with spatiotemporal echocardiography deep learning
• [cs.CV]Sparsity Aware Normalization for GANs
• [cs.CV]Style-based Point Generator with Adversarial Rendering for Point Cloud Completion
• [cs.CV]Task Aligned Generative Meta-learning for Zero-shot Learning
• [cs.CV]Touchless Palmprint Recognition based on 3D Gabor Template and Block Feature Refinement
• [cs.CV]Towards Open World Object Detection
• [cs.CV]Uncertainty guided semi-supervised segmentation of retinal layers in OCT images
• [cs.CV]Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation
• [cs.CV]Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary
• [cs.CV]Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification
• [cs.CV]WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
• [cs.CY]Convergence and Inequality in Research Globalization
• [cs.CY]Personal Productivity and Well-being — Chapter 2 of the 2021 New Future of Work Report
• [cs.DB]Technical Report on Data Integration and Preparation
• [cs.DC]Capelin: Data-Driven Capacity Procurement for Cloud Datacenters using Portfolios of Scenarios — Extended Technical Report
• [cs.DC]Distributed statistical inference with pyhf enabled through funcX
• [cs.DC]Off-Chain Micropayment Pool for High-ThroughputBandwidth Sharing Rewards
• [cs.DC]VELOC: VEry Low Overhead Checkpointing in the Age of Exascale
• [cs.DS]Approximation Algorithms for Socially Fair Clustering
• [cs.GR]Learning to Manipulate Amorphous Materials
• [cs.GT]Information Discrepancy in Strategic Learning
• [cs.HC]A Bounded Measure for Estimating the Benefit of Visualization: Case Studies and Empirical Evaluation
• [cs.HC]Decision-makers Processing of AI Algorithmic Advice: Automation Bias versus Selective Adherence
• [cs.HC]Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment
• [cs.HC]EmoWrite: A Sentiment Analysis-Based Thought to Text Conversion
• [cs.IR]Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
• [cs.IR]High-Performance Training by Exploiting Hot-Embeddings in Recommendation Systems
• [cs.IR]On Estimating Recommendation Evaluation Metrics under Sampling
• [cs.IR]Simplified Data Wrangling with ir_datasets
• [cs.IR]University of Copenhagen Participation in TREC Health Misinformation Track 2020
• [cs.IR]Weakly-Supervised Open-Retrieval Conversational Question Answering
• [cs.IT]A Bounded Measure for Estimating the Benefit of Visualization: Theoretical Discourse and Conceptual Evaluation
• [cs.IT]A Study of the Separating Property in Reed-Solomon Codes by Bounding the Minimum Distance
• [cs.IT]Application of NOMA in 6G Networks: Future Vision and Research Opportunities for Next Generation Multiple Access
• [cs.IT]Computing Sum of Sources over a Classical-Quantum MAC
• [cs.IT]Design and Analysis of Delayed Bit-Interleaved Coded Modulation with LDPC Codes
• [cs.IT]Dynamic Offloading Design in Time-Varying Mobile Edge Networks with Deep Reinforcement Learning Approach
• [cs.IT]Multi-cell NOMA: Coherent Reconfigurable Intelligent Surfaces Model With Stochastic Geometry
• [cs.IT]On Opportunistic Selection of Common Randomness and LLR generation for Algebraic Group Secret-Key Generation
• [cs.IT]Periodic Updates for Constrained OCO with Application to Large-Scale Multi-Antenna Systems
• [cs.IT]Propagation Measurements and Path Loss Models for sub-THz in Urban Microcells
• [cs.IT]QoS-Driven Resource Optimization for Intelligent Fog Radio Access Network: A Dynamic Power Allocation Perspective
• [cs.IT]Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning
• [cs.IT]Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks
• [cs.IT]Terahertz-Band MIMO-NOMA: Adaptive Superposition Coding and Subspace Detection
• [cs.IT]The Ultimate Weapon for Ultra-Broadband 6G: Digital Beamforming and Doubly Massive mmWave MIMO
• [cs.IT]Universal interactive Gaussian quantization with side information
• [cs.LG]A Deep and Wide Neural Network-based Model for Rajasthan Summer Monsoon Rainfall (RSMR) Prediction
• [cs.LG]A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data
• [cs.LG]A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness
• [cs.LG]Addressing Action Oscillations through Learning Policy Inertia
• [cs.LG]Adversarial Environment Generation for Learning to Navigate the Web
• [cs.LG]Chemistry-informed Macromolecule Graph Representation for Similarity Computation and Supervised Learning
• [cs.LG]Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates
• [cs.LG]Cross-Gradient Aggregation for Decentralized Learning from Non-IID data
• [cs.LG]D’ya like DAGs? A Survey on Structure Learning and Causal Discovery
• [cs.LG]DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations
• [cs.LG]Deep Learning for Virus-Spreading Forecasting: a Brief Survey
• [cs.LG]Differentiable Neural Architecture Learning for Efficient Neural Network Design
• [cs.LG]Domain Generalization: A Survey
• [cs.LG]Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
• [cs.LG]Fairness and Robustness of Contrasting Explanations
• [cs.LG]Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints
• [cs.LG]Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
• [cs.LG]Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations
• [cs.LG]Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea
• [cs.LG]Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML
• [cs.LG]LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes
• [cs.LG]Land Cover Mapping in Limited Labels Scenario: A Survey
• [cs.LG]Meta-Learning with Variational Bayes
• [cs.LG]Minimax Model Learning
• [cs.LG]Minimum-Distortion Embedding
• [cs.LG]Multi-task Learning by Leveraging the Semantic Information
• [cs.LG]On the effectiveness of adversarial training against common corruptions
• [cs.LG]Online Adversarial Attacks
• [cs.LG]PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer
• [cs.LG]Parametric Complexity Bounds for Approximating PDEs with Neural Networks
• [cs.LG]Predicting Driver Fatigue in Automated Driving with Explainability
• [cs.LG]Regularizing towards Causal Invariance: Linear Models with Proxies
• [cs.LG]Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG
• [cs.LG]Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction
• [cs.LG]Two-Stage Framework for Seasonal Time Series Forecasting
• [cs.LG]Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making
• [cs.LG]Variance Reduction in Training Forecasting Models with Subgroup Sampling
• [cs.MA]Inference-Based Deterministic Messaging For Multi-Agent Communication
• [cs.NE]A continuous-state cellular automata algorithm for global optimization
• [cs.NE]Surrogate-assisted cooperative signal optimization for large-scale traffic networks
• [cs.RO]A 3D Printing Hexacopter: Design and Demonstration
• [cs.RO]A Human-Centered Dynamic Scheduling Architecture for Collaborative Application
• [cs.RO]Advancing Mixture Models for Least Squares Optimization
• [cs.RO]Cellular Formation Maintenance and Collision Avoidance Using Centroid-Based Point Set Registration in a Swarm of Drones
• [cs.RO]Controlling the Sense of Agency in Dyadic Robot Interaction: An Active Inference Approach
• [cs.RO]Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap
• [cs.RO]Inertial based Integration with Transformed INS Mechanization in Earth Frame
• [cs.RO]Learning to Fly — a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
• [cs.RO]Obstacle Avoidance onboard MAVs using a FMCW RADAR
• [cs.RO]RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images
• [cs.RO]Reinforcement Learning Control of a Forestry Crane Manipulator
• [cs.RO]Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee
• [cs.RO]Semantic constraints to represent common sense required in household actions for multi-modal Learning-from-observation robot
• [cs.RO]Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities
• [cs.SD]Continuous Speech Separation with Ad Hoc Microphone Arrays
• [cs.SD]Multi-view Audio and Music Classification
• [cs.SE]A Fault Localization and Debugging Support Framework driven by Bug Tracking Data
• [cs.SE]Automatically detecting the conflicts between software requirements based on finer semantic analysis
• [cs.SE]Root cause prediction based on bug reports
• [cs.SI]COVID-19 vaccination strategies on dynamic networks
• [cs.SI]Estimating the Expected Influence Capacities of Nodes in Complex Networks under the Susceptible-Infectious-Recovered (SIR) Model
• [cs.SI]Extracting Complements and Substitutes from Sales Data: A Network Perspective
• [cs.SI]Graph and Network Theory for the analysis of Criminal Networks
• [cs.SI]Modularity and Mutual Information in Networks: Two Sides of the Same Coin
• [cs.SI]Multi-Task Representation Learning with Multi-View Graph Convolutional Networks
• [cs.SI]Recurrent Graph Neural Network Algorithm for Unsupervised Network Community Detection
• [econ.EM]Minimax MSE Bounds and Nonlinear VAR Prewhitening for Long-Run Variance Estimation Under Nonstationarity
• [eess.AS]Reverb Conversion of Mixed Vocal Tracks Using an End-to-end Convolutional Deep Neural Network
• [eess.IV]Arthroscopic Multi-Spectral Scene Segmentation Using Deep Learning
• [eess.IV]Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning
• [eess.IV]Real-World Single Image Super-Resolution: A Brief Review
• [eess.SP]Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network
• [eess.SP]Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
• [eess.SP]Eye-gaze Estimation with HEOG and Neck EMG using Deep Neural Networks
• [eess.SP]Rate Analysis and Deep Neural Network Detectors for SEFDM FTN Systems
• [eess.SY]Computation Resource Allocation Solution in Recommender Systems
• [eess.SY]Constraint Control of a Boom Crane System
• [eess.SY]Modeling and control of 5-DoF boom crane
• [eess.SY]Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks
• [eess.SY]Oscillation Reduction for Knuckle Cranes
• [math.DG]On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators
• [math.OC]Stochastic Cutting Planes for Data-Driven Optimization
• [math.PR]Continuous scaled phase-type distributions
• [math.PR]Departure-based Asymptotic Stochastic Order for Random Processes
• [math.PR]On Information (pseudo) Metric
• [math.ST]Asymptotic approximation of the likelihood of stationary determinantal point processes
• [math.ST]Detecting Outliers in High-dimensional Data with Mixed Variable Types using Conditional Gaussian Regression Models
• [math.ST]Incidence geometry in the projective plane via almost-principal minors of symmetric matrices
• [q-bio.NC]Deep Recurrent Encoder: A scalable end-to-end network to model brain signals
• [q-bio.NC]On Information Links
• [q-bio.NC]To Deconvolve, or Not to Deconvolve: Inferences of Neuronal Activities using Calcium Imaging Data
• [quant-ph]Quantum Network Discrimination
• [stat.AP]The `how’ matters: A simulation-based assessment of the potential contributions of LFD tests for school reopening in England
• [stat.ME]A Comparison of Likelihood-Free Methods With and Without Summary Statistics
• [stat.ME]Discussion of ‘Estimating time-varying causal excursion effect in mobile health with binary outcomes’ by T. Qian et al
• [stat.ME]Dynamic estimation with random forests for discrete-time survival data
• [stat.ME]Estimation of Dirichlet distribution parameters with bias-reducing adjusted score functions
• [stat.ME]Multiple imputation with missing data indicators
• [stat.ME]Product Partition Dynamic Generalized Linear Models
• [stat.ME]Ridge-penalized adaptive Mantel test and its application in imaging genetics
• [stat.ME]Robust Estimation of Loss Models for Lognormal Insurance Payment Severity Data
• [stat.ML]Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
• [stat.ML]Learning Proposals for Probabilistic Programs with Inference Combinators
• [stat.ML]Parsimonious Inference
• [stat.ML]Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)
·····································
• [cond-mat.supr-con]Reservoir Computing with Superconducting Electronics
Graham E. Rowlands, Minh-Hai Nguyen, Guilhem J. Ribeill, Andrew P. Wagner, Luke C. G. Govia, Wendson A. S. Barbosa, Daniel J. Gauthier, Thomas A. Ohki
http://arxiv.org/abs/2103.02522v1
• [cs.AI]Cost Optimal Planning as Satisfiability
Mohammad Abdulaziz
http://arxiv.org/abs/2103.02355v1
• [cs.AI]Design of an Affordable Prosthetic Arm Equipped with Deep Learning Vision-Based Manipulation
Alishba Imran, William Escobar, Freidoon Barez
http://arxiv.org/abs/2103.02099v1
• [cs.AI]Filter-Based Abstractions with Correctness Guarantees for Planning under Uncertainty
Thom S. Badings, Nils Jansen, Hasan A. Poonawala, Marielle Stoelinga
http://arxiv.org/abs/2103.02398v1
• [cs.AI]Reinforcement Learning with External Knowledge by using Logical Neural Networks
Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, Alexander Gray
http://arxiv.org/abs/2103.02363v1
• [cs.AI]User Preferential Tour Recommendation Based on POI-Embedding Methods
Ngai Lam Ho, Kwan Hui Lim
http://arxiv.org/abs/2103.02464v1
• [cs.AI]Video Sentiment Analysis with Bimodal Information-augmented Multi-Head Attention
Ting Wu, Junjie Peng, Wenqiang Zhang, Huiran Zhang, Chuanshuai Ma, Yansong Huang
http://arxiv.org/abs/2103.02362v1
• [cs.CE]IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures
Jun Wang, Wei Chen, Mark Fuge, Rahul Rai
http://arxiv.org/abs/2103.02588v1
• [cs.CL]A Data-Centric Framework for Composable NLP Workflows
Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu
http://arxiv.org/abs/2103.01834v2
• [cs.CL]An Attention Based Neural Network for Code Switching Detection: English & Roman Urdu
Aizaz Hussain, Muhammad Umair Arshad
http://arxiv.org/abs/2103.02252v1
• [cs.CL]An Empirical Study of Compound PCFGs
Yanpeng Zhao, Ivan Titov
http://arxiv.org/abs/2103.02298v1
• [cs.CL]An End-to-End Network for Emotion-Cause Pair Extraction
Aaditya Singh, Shreeshail Hingane, Saim Wani, Ashutosh Modi
http://arxiv.org/abs/2103.01544v2
• [cs.CL]An Iterative Contextualization Algorithm with Second-Order Attention
Diego Maupomé, Marie-Jean Meurs
http://arxiv.org/abs/2103.02190v1
• [cs.CL]CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge
Chenhao Wang, Yubo Chen, Zhipeng Xue, Yang Zhou, Jun Zhao
http://arxiv.org/abs/2103.02141v1
• [cs.CL]Combining Prediction and Interpretation in Decision Trees (PrInDT) — a Linguistic Example
Claus Weihs, Sarah Buschfeld
http://arxiv.org/abs/2103.02336v1
• [cs.CL]Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing
Ao Zhang, Kun Wu, Lijie Wang, Zhenghua Li, Xinyan Xiao, Hua Wu, Min Zhang, Haifeng Wang
http://arxiv.org/abs/2103.02227v1
• [cs.CL]Detecting Extraneous Content in Podcasts
Sravana Reddy, Yongze Yu, Aasish Pappu, Aswin Sivaraman, Rezvaneh Rezapour, Rosie Jones
http://arxiv.org/abs/2103.02585v1
• [cs.CL]Few-shot Learning for Slot Tagging with Attentive Relational Network
Cennet Oguz, Ngoc Thang Vu
http://arxiv.org/abs/2103.02333v1
• [cs.CL]Gradual Fine-Tuning for Low-Resource Domain Adaptation
Haoran Xu, Seth Ebner, Mahsa Yarmohammadi, Aaron Steven White, Benjamin Van Durme, Kenton Murray
http://arxiv.org/abs/2103.02205v1
• [cs.CL]Lex2vec: making Explainable Word Embedding via Distant Supervision
Fabio Celli
http://arxiv.org/abs/2103.02269v1
• [cs.CL]Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
http://arxiv.org/abs/2103.02262v1
• [cs.CL]NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation
Xiaoyang Wang, Chen Li, Jianqiao Zhao, Dong Yu
http://arxiv.org/abs/2103.02548v1
• [cs.CL]NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands
Mayank Agarwal, Tathagata Chakraborti, Quchen Fu, David Gros, Xi Victoria Lin, Jaron Maene, Kartik Talamadupula, Zhongwei Teng, Jules White
http://arxiv.org/abs/2103.02523v1
• [cs.CL]OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Model
Xiao Liu, Da Yin, Xingjian Zhang, Kai Su, Kan Wu, Hongxia Yang, Jie Tang
http://arxiv.org/abs/2103.02410v1
• [cs.CL]Random Feature Attention
Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong
http://arxiv.org/abs/2103.02143v1
• [cs.CL]Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation
Haoran Xu, Philipp Koehn
http://arxiv.org/abs/2103.02212v1
• [cs.CR]Talaria: A Framework for Simulation of Permissioned Blockchains for Logistics and Beyond
Jiali Xing, David Fischer, Nitya Labh, Ryan Piersma, Benjamin C. Lee, Yu Amy Xia, Tuhin Sahai, Vahid Tarokh
http://arxiv.org/abs/2103.02260v1
• [cs.CV]: Learnable Sparse Signal Superdensity for Guided Depth Estimation
Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Yu-Cheng Chang, Tsung-Lin Tsou, Yu-An Wang, Winston H. Hsu
http://arxiv.org/abs/2103.02396v1
• [cs.CV]Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou
http://arxiv.org/abs/2103.02193v1
• [cs.CV]An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks
Shiqing Fan, Ye Luo
http://arxiv.org/abs/2103.02096v1
• [cs.CV]Augmentation Strategies for Learning with Noisy Labels
Kento Nishi, Yi Ding, Alex Rich, Tobias Höllerer
http://arxiv.org/abs/2103.02130v1
• [cs.CV]Bulk Production Augmentation Towards Explainable Melanoma Diagnosis
Kasumi Obi, Quan Huu Cap, Noriko Umegaki-Arao, Masaru Tanaka, Hitoshi Iyatomi
http://arxiv.org/abs/2103.02198v1
• [cs.CV]CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds
Ge Gao, Mikko Lauri, Xiaolin Hu, Jianwei Zhang, Simone Frintrop
http://arxiv.org/abs/2103.01977v1
• [cs.CV]Cooking Object’s State Identification Without Using Pretrained Model
Md Sadman Sakib
http://arxiv.org/abs/2103.02305v1
• [cs.CV]Cross-View Regularization for Domain Adaptive Panoptic Segmentation
Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
http://arxiv.org/abs/2103.02584v1
• [cs.CV]Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks
Shiqing Fan, Ye Luo
http://arxiv.org/abs/2103.02121v1
• [cs.CV]DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization
Javier Hernandez, Daniel McDuff, Ognjen, Rudovic, Alberto Fung, Mary Czerwinski
http://arxiv.org/abs/2103.02484v1
• [cs.CV]DeepFake-o-meter: An Open Platform for DeepFake Detection
Yuezun Li, Cong Zhang, Pu Sun, Honggang Qi, Siwei Lyu
http://arxiv.org/abs/2103.02018v1
• [cs.CV]Domain and View-point Agnostic Hand Action Recognition
Alberto Sabater, Iñigo Alonso, Luis Montesano, Ana C. Murillo
http://arxiv.org/abs/2103.02303v1
• [cs.CV]Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms
Hengli Wang, Rui Fan, Yuxiang Sun, Ming Liu
http://arxiv.org/abs/2103.02433v1
• [cs.CV]EaZy Learning: An Adaptive Variant of Ensemble Learning for Fingerprint Liveness Detection
Shivang Agarwal, C. Ravindranath Chowdary, Vivek Sourabh
http://arxiv.org/abs/2103.02207v1
• [cs.CV]EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation
Yecheng Lyu, Xinming Huang, Ziming Zhang
http://arxiv.org/abs/2103.02517v1
• [cs.CV]EnD: Entangling and Disentangling deep representations for bias correction
Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
http://arxiv.org/abs/2103.02023v1
• [cs.CV]Energy-Based Learning for Scene Graph Generation
Mohammed Suhail, Abhay Mittal, Behjat Siddiquie, Chris Broaddus, Jayan Eledath, Gerard Medioni, Leonid Sigal
http://arxiv.org/abs/2103.02221v1
• [cs.CV]Event-based Synthetic Aperture Imaging
Xiang Zhang, Liao Wei, Lei Yu, Wen Yang, Gui-Song Xia
http://arxiv.org/abs/2103.02376v1
• [cs.CV]FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation
Yisheng He, Haibin Huang, Haoqiang Fan, Qifeng Chen, Jian Sun
http://arxiv.org/abs/2103.02242v1
• [cs.CV]FSDR: Frequency Space Domain Randomization for Domain Generalization
Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
http://arxiv.org/abs/2103.02370v1
• [cs.CV]General Instance Distillation for Object Detection
Xing Dai, Zeren Jiang, Zhao Wu, Yiping Bao, Zhicheng Wang, Si Liu, Erjin Zhou
http://arxiv.org/abs/2103.02340v1
• [cs.CV]Group-wise Inhibition based Feature Regularization for Robust Classification
Haozhe Liu, Haoqian Wu, Weicheng Xie, Feng Liu, Linlin Shen
http://arxiv.org/abs/2103.02152v1
• [cs.CV]HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline
Konrad Heidler, Lichao Mou, Celia Baumhoer, Andreas Dietz, Xiao Xiang Zhu
http://arxiv.org/abs/2103.0
6d2c
1849v1
6d2c
1849v1)
• [cs.CV]House-GAN++: Generative Adversarial Layout Refinement Networks
Nelson Nauata, Sepidehsadat Hosseini, Kai-Hung Chang, Hang Chu, Chin-Yi Cheng, Yasutaka Furukawa
http://arxiv.org/abs/2103.02574v1
• [cs.CV]ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans
Cher Bass, Mariana da Silva, Carole Sudre, Logan Z. J. Williams, Petru-Daniel Tudosiu, Fidel Alfaro-Almagro, Sean P. Fitzgibbon, Matthew F. Glasser, Stephen M. Smith, Emma C. Robinson
http://arxiv.org/abs/2103.02561v1
• [cs.CV]ID-Unet: Iterative Soft and Hard Deformation for View Synthesis
Mingyu Yin, Li Sun, Qingli Li
http://arxiv.org/abs/2103.02264v1
• [cs.CV]K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments
Yeji Choi, Hyunjung Park, Gi Pyo Nam, Haksub Kim, Heeseung Choi, Junghyun Cho, Ig-Jae Kim
http://arxiv.org/abs/2103.02211v1
• [cs.CV]K-means Segmentation Based-on Lab Color Space for Embryo Egg Detection
Shoffan Saifullah
http://arxiv.org/abs/2103.02288v1
• [cs.CV]LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment
Fabian Duerr, Mario Pfaller, Hendrik Weigel, Juergen Beyerer
http://arxiv.org/abs/2103.02263v1
• [cs.CV]Material Measurement Units: Foundations Through a Survey
Federico Zocco, Seán McLoone
http://arxiv.org/abs/2103.01997v1
• [cs.CV]Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Data
Markus Horn, Ole Schumann, Markus Hahn, Jürgen Dickmann, Klaus Dietmayer
http://arxiv.org/abs/2103.02278v1
• [cs.CV]MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions
Haixu Wu, Zhiyu Yao, Mingsheng Long, Jianmin Wan
http://arxiv.org/abs/2103.02243v1
• [cs.CV]Multi-attentional Deepfake Detection
Hanqing Zhao, Wenbo Zhou, Dongdong Chen, Tianyi Wei, Weiming Zhang, Nenghai Yu
http://arxiv.org/abs/2103.02406v1
• [cs.CV]Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation
Hemang Chawla, Arnav Varma, Elahe Arani, Bahram Zonooz
http://arxiv.org/abs/2103.02451v1
• [cs.CV]Neural 3D Video Synthesis
Tianye Li, Mira Slavcheva, Michael Zollhoefer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Zhaoyang Lv
http://arxiv.org/abs/2103.02597v1
• [cs.CV]Non-local Channel Aggregation Network for Single Image Rain Removal
Zhipeng Su, Yixiong Zhang, Xiao-Ping Zhang, Feng Qi
http://arxiv.org/abs/2103.02488v1
• [cs.CV]On the role of depth predictions for 3D human pose estimation
Alec Diaz-Arias, Mitchell Messmore, Dmitriy Shin, Stephen Baek
http://arxiv.org/abs/2103.02521v1
• [cs.CV]OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
Sven Kreiss, Lorenzo Bertoni, Alexandre Alahi
http://arxiv.org/abs/2103.02440v1
• [cs.CV]PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics
Nati Daniel, Ariel Larey, Eliel Aknin, Garrett A. Osswald, Julie M. Caldwell, Mark Rochman, Margaret H. Collins, Guang-Yu Yang, Nicoleta C. Arva, Kelley E. Capocelli, Marc E. Rothenberg, Yonatan Savir
http://arxiv.org/abs/2103.02015v1
• [cs.CV]PML: Progressive Margin Loss for Long-tailed Age Classification
Zongyong Deng, Hao Liu, Yaoxing Wang, Chenyang Wang, Zekuan Yu, Xuehong Sun
http://arxiv.org/abs/2103.02140v1
• [cs.CV]Pseudo-labeling for Scalable 3D Object Detection
Benjamin Caine, Rebecca Roelofs, Vijay Vasudevan, Jiquan Ngiam, Yuning Chai, Zhifeng Chen, Jonathon Shlens
http://arxiv.org/abs/2103.02093v1
• [cs.CV]Robust Place Recognition using an Imaging Lidar
Tixiao Shan, Brendan Englot, Fabio Duarte, Carlo Ratti, Daniela Rus
http://arxiv.org/abs/2103.02111v1
• [cs.CV]Self-Distribution Binary Neural Networks
Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei
http://arxiv.org/abs/2103.02394v1
• [cs.CV]Self-supervised Pretraining of Visual Features in the Wild
Priya Goyal, Mathilde Caron, Benjamin Lefaudeux, Min Xu, Pengchao Wang, Vivek Pai, Mannat Singh, Vitaliy Liptchinsky, Ishan Misra, Armand Joulin, Piotr Bojanowski
http://arxiv.org/abs/2103.01988v1
• [cs.CV]Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
Xiao Huang, Di Zhu, Fan Zhang, Tao Liu, Xiao Li, Lei Zou
http://arxiv.org/abs/2103.02155v1
• [cs.CV]Sequence-Based Filtering for Visual Route-Based Navigation: Analysing the Benefits, Trade-offs and Design Choices
Mihnea-Alexandru Tomită, Mubariz Zaffar, Michael Milford, Klaus McDonald-Maier, Shoaib Ehsan
http://arxiv.org/abs/2103.01994v1
• [cs.CV]Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place Recognition
Marvin Chancán, Michael Milford
http://arxiv.org/abs/2103.02074v1
• [cs.CV]Shape-driven Coordinate Ordering for Star Glyph Sets via Reinforcement Learning
Ruizhen Hu, Bin Chen, Juzhan Xu, Oliver van Kaick, Oliver Deussen, Hui Huang
http://arxiv.org/abs/2103.02380v1
• [cs.CV]Simulating time to event prediction with spatiotemporal echocardiography deep learning
Rohan Shad, Nicolas Quach, Robyn Fong, Patpilai Kasinpila, Cayley Bowles, Kate M. Callon, Michelle C. Li, Jeffrey Teuteberg, John P. Cunningham, Curtis P. Langlotz, William Hiesinger
http://arxiv.org/abs/2103.02583v1
• [cs.CV]Sparsity Aware Normalization for GANs
Idan Kligvasser, Tomer Michaeli
http://arxiv.org/abs/2103.02458v1
• [cs.CV]Style-based Point Generator with Adversarial Rendering for Point Cloud Completion
Chulin Xie, Chuxin Wang, Bo Zhang, Hao Yang, Dong Chen, Fang Wen
http://arxiv.org/abs/2103.02535v1
• [cs.CV]Task Aligned Generative Meta-learning for Zero-shot Learning
Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long
http://arxiv.org/abs/2103.02185v1
• [cs.CV]Touchless Palmprint Recognition based on 3D Gabor Template and Block Feature Refinement
Zhaoqun Li, Xu Liang, Dandan Fan, Jinxing Li, Wei Jia, David Zhang
http://arxiv.org/abs/2103.02167v1
• [cs.CV]Towards Open World Object Detection
K J Joseph, Salman Khan, Fahad Shahbaz Khan, Vineeth N Balasubramanian
http://arxiv.org/abs/2103.02603v1
• [cs.CV]Uncertainty guided semi-supervised segmentation of retinal layers in OCT images
Suman Sedai, Bhavna Antony, Ravneet Rai, Katie Jones, Hiroshi Ishikawa, Joel Schuman, Wollstein Gadi, Rahil Garnavi
http://arxiv.org/abs/2103.02083v1
• [cs.CV]Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation
Ping Gong, Wenwen Yu, Qiuwen Sun, Ruohan Zhao, Junfeng Hu
http://arxiv.org/abs/2103.02220v1
• [cs.CV]Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary
Jongmin Yu, Hyeontaek Oh
http://arxiv.org/abs/2103.02250v1
• [cs.CV]Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification
Saman Motamed, Farzad Khalvati
http://arxiv.org/abs/2103.02496v1
• [cs.CV]WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork
http://arxiv.org/abs/2103.01913v2
• [cs.CY]Convergence and Inequality in Research Globalization
Saurabh Mishra, Kuansan Wang
http://arxiv.org/abs/2103.02052v1
• [cs.CY]Personal Productivity and Well-being — Chapter 2 of the 2021 New Future of Work Report
Jenna Butler, Mary Czerwinski, Shamsi Iqbal, Sonia Jaffe, Kate Nowak, Emily Peloquin, Longqi Yang
http://arxiv.org/abs/2103.02524v1
• [cs.DB]Technical Report on Data Integration and Preparation
El Kindi Rezig, Michael Cafarella, Vijay Gadepally
http://arxiv.org/abs/2103.01986v1
• [cs.DC]Capelin: Data-Driven Capacity Procurement for Cloud Datacenters using Portfolios of Scenarios — Extended Technical Report
Georgios Andreadis, Fabian Mastenbroek, Vincent van Beek, Alexandru Iosup
http://arxiv.org/abs/2103.02060v1
• [cs.DC]Distributed statistical inference with pyhf enabled through funcX
Matthew Feickert, Lukas Heinrich, Giordon Stark, Ben Galewsky
http://arxiv.org/abs/2103.02182v1
• [cs.DC]Off-Chain Micropayment Pool for High-ThroughputBandwidth Sharing Rewards
Jieyi Long, Ribao Wei
http://arxiv.org/abs/2103.02160v1
• [cs.DC]VELOC: VEry Low Overhead Checkpointing in the Age of Exascale
Bogdan Nicolae, Adam Moody, Gregory Kosinovsky, Kathryn Mohror, Franck Cappello
http://arxiv.org/abs/2103.02131v1
• [cs.DS]Approximation Algorithms for Socially Fair Clustering
Yury Makarychev, Ali Vakilian
http://arxiv.org/abs/2103.02512v1
• [cs.GR]Learning to Manipulate Amorphous Materials
Yunbo Zhang, Wenhao Yu, C. Karen Liu, Charles C. Kemp, Greg Turk
http://arxiv.org/abs/2103.02533v1
• [cs.GT]Information Discrepancy in Strategic Learning
Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani
http://arxiv.org/abs/2103.01028v2
• [cs.HC]A Bounded Measure for Estimating the Benefit of Visualization: Case Studies and Empirical Evaluation
Min Chen, Alfie Abdul-Rahman, Deborah Silver, Mateu Sbert
http://arxiv.org/abs/2103.02502v1
• [cs.HC]Decision-makers Processing of AI Algorithmic Advice: Automation Bias versus Selective Adherence
Saar Alon-Barkat, Madalina Busuioc
http://arxiv.org/abs/2103.02381v1
• [cs.HC]Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment
Young-Eun Lee, Seong-Whan Lee
http://arxiv.org/abs/2103.02197v1
• [cs.HC]EmoWrite: A Sentiment Analysis-Based Thought to Text Conversion
A. Shahid, I. Raza, S. A. Hussain
http://arxiv.org/abs/2103.02238v1
• [cs.IR]Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia
http://arxiv.org/abs/2103.02590v1
• [cs.IR]High-Performance Training by Exploiting Hot-Embeddings in Recommendation Systems
Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
http://arxiv.org/abs/2103.00686v2
• [cs.IR]On Estimating Recommendation Evaluation Metrics under Sampling
Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu
http://arxiv.org/abs/2103.01474v2
• [cs.IR]Simplified Data Wrangling with ir_datasets
Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian
http://arxiv.org/abs/2103.02280v1
• [cs.IR]University of Copenhagen Participation in TREC Health Misinformation Track 2020
Lucas Chaves Lima, Dustin Brandon Wright, Isabelle Augenstein, Maria Maistro
http://arxiv.org/abs/2103.02462v1
• [cs.IR]Weakly-Supervised Open-Retrieval Conversational Question Answering
Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer
http://arxiv.org/abs/2103.02537v1
• [cs.IT]A Bounded Measure for Estimating the Benefit of Visualization: Theoretical Discourse and Conceptual Evaluation
Min Chen, Mateu Sbert
http://arxiv.org/abs/2103.02505v1
• [cs.IT]A Study of the Separating Property in Reed-Solomon Codes by Bounding the Minimum Distance
Marcel Fernandez, Jorge Urroz
http://arxiv.org/abs/2103.02341v1
• [cs.IT]Application of NOMA in 6G Networks: Future Vision and Research Opportunities for Next Generation Multiple Access
Yuanwei Liu, Wenqiang Yi, Zhiguo Ding, Xiao Liu, Octavia Dobre, Naofal Al-Dhahir
http://arxiv.org/abs/2103.02334v1
• [cs.IT]Computing Sum of Sources over a Classical-Quantum MAC
Touheed Anwar Atif, Arun Padakandla, S. Sandeep Pradhan
http://arxiv.org/abs/2103.02082v1
• [cs.IT]Design and Analysis of Delayed Bit-Interleaved Coded Modulation with LDPC Codes
Yihuan Liao, Min Qiu, Jinhong Yuan
http://arxiv.org/abs/2103.02105v1
• [cs.IT]Dynamic Offloading Design in Time-Varying Mobile Edge Networks with Deep Reinforcement Learning Approach
Liang Yu, Rui Wang, Minyan Shi, Jun Wu
http://arxiv.org/abs/2103.02174v1
• [cs.IT]Multi-cell NOMA: Coherent Reconfigurable Intelligent Surfaces Model With Stochastic Geometry
Chao Zhang, Wenqiang Yi, Yuanwei Liu, Qiang Wang
http://arxiv.org/abs/2103.02450v1
• [cs.IT]On Opportunistic Selection of Common Randomness and LLR generation for Algebraic Group Secret-Key Generation
Rohit Joshi, J. Harshan
http://arxiv.org/abs/2103.02195v1
• [cs.IT]Periodic Updates for Constrained OCO with Application to Large-Scale Multi-Antenna Systems
Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau
http://arxiv.org/abs/2103.02124v1
• [cs.IT]Propagation Measurements and Path Loss Models for sub-THz in Urban Microcells
Yunchou Xing, Theodore S. Rappaport
http://arxiv.org/abs/2103.01151v2
• [cs.IT]QoS-Driven Resource Optimization for Intelligent Fog Radio Access Network: A Dynamic Power Allocation Perspective
Jun Yu, Rui Wang, Jun Wu
http://arxiv.org/abs/2103.02134v1
• [cs.IT]Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning
Dian Fan, Xiaojun Yuan, Ying-Jun Angela Zhang
http://arxiv.org/abs/2103.02270v1
• [cs.IT]Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks
Anwen Liao, Zhen Gao, Dongming Wang, Hua Wang, Hao Yin, Derrick Wing Kwan Ng, Mohamed-Slim Alouini
http://arxiv.org/abs/2103.01829v2
• [cs.IT]Terahertz-Band MIMO-NOMA: Adaptive Superposition Coding and Subspace Detection
Hadi Sarieddeen, Asmaa Abdallah, Mohammad M. Mansour, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri
http://arxiv.org/abs/2103.02348v1
• [cs.IT]The Ultimate Weapon for Ultra-Broadband 6G: Digital Beamforming and Doubly Massive mmWave MIMO
Bengt Lindoff, Carmen D’Andrea, Stefano Buzzi, Markus Tormanen, Per-Olof Brandt
http://arxiv.org/abs/2103.02286v1
• [cs.IT]Universal interactive Gaussian quantization with side information
Shubham Jha, Himanshu Tyagi
http://arxiv.org/abs/2103.02335v1
• [cs.LG]A Deep and Wide Neural Network-based Model for Rajasthan Summer Monsoon Rainfall (RSMR) Prediction
Vikas Bajpai, Anukriti Bansal
http://arxiv.org/abs/2103.02157v1
• [cs.LG]A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data
Narges Pourshahrokhi, Samaneh Kouchaki, Kord M. Kober, Christine Miaskowski, Payam Barnaghi
http://arxiv.org/abs/2103.02349v1
• [cs.LG]A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness
Jacob Abernethy, Pranjal Awasthi, Satyen Kale
http://arxiv.org/abs/2103.01276v2
• [cs.LG]Addressing Action Oscillations through Learning Policy Inertia
Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
http://arxiv.org/abs/2103.02287v1
• [cs.LG]Adversarial Environment Generation for Learning to Navigate the Web
Izzeddin Gur, Natasha Jaques, Kevin Malta, Manoj Tiwari, Honglak Lee, Aleksandra Faust
http://arxiv.org/abs/2103.01991v1
• [cs.LG]Chemistry-informed Macromolecule Graph Representation for Similarity Computation and Supervised Learning
Somesh Mohapatra, Joyce An, Rafael Gómez-Bombarelli
http://arxiv.org/abs/2103.02565v1
• [cs.LG]Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates
Sebastian U. Stich, Amirkeivan Mohtashami, Martin Jaggi
http://arxiv.org/abs/2103.02351v1
• [cs.LG]Cross-Gradient Aggregation for Decentralized Learning from Non-IID data
Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
http://arxiv.org/abs/2103.02051v1
• [cs.LG]D’ya like DAGs? A Survey on Structure Learning and Causal Discovery
Matthew J. Vowels, Necati Cihan Camgoz, Richard Bowden
http://arxiv.org/abs/2103.02582v1
• [cs.LG]DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations
Eitan Borgnia, Jonas Geiping, Valeriia Cherepanova, Liam Fowl, Arjun Gupta, Amin Ghiasi, Furong Huang, Micah Goldblum, Tom Goldstein
http://arxiv.org/abs/2103.02079v1
• [cs.LG]Deep Learning for Virus-Spreading Forecasting: a Brief Survey
Federico Baldo, Lorenzo Dall’Olio, Mattia Ceccarelli, Riccardo Scheda, Michele Lombardi, Andrea Borghesi, Stefano Diciotti, Michela Milano
http://arxiv.org/abs/2103.02346v1
• [cs.LG]Differentiable Neural Architecture Learning for Efficient Neural Network Design
Qingbei Guo, Xiao-Jun Wu, Josef Kittler, Zhiquan Feng
http://arxiv.org/abs/2103.02126v1
• [cs.LG]Domain Generalization: A Survey
Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, Chen Change Loy
http://arxiv.org/abs/2103.02503v1
• [cs.LG]Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan Davidson
http://arxiv.org/abs/2103.02164v1
• [cs.LG]Fairness and Robustness of Contrasting Explanations
André Artelt, Barbara Hammer
http://arxiv.org/abs/2103.02354v1
• [cs.LG]Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints
Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Aravind Srinivasan, Leonidas Tsepenekas
http://arxiv.org/abs/2103.02013v1
• [cs.LG]Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng
http://arxiv.org/abs/2103.02225v1
• [cs.LG]Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
http://arxiv.org/abs/2103.02200v1
• [cs.LG]Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea
Nikolay O. Nikitin, Ilia Revin, Alexander Hvatov, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
http://arxiv.org/abs/2103.02598v1
• [cs.LG]Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML
Indrajeet Y. Javeri, Mohammadhossein Toutiaee, Ismailcem B. Arpinar, Tom W. Miller, John A. Miller
http://arxiv.org/abs/2103.01992v1
• [cs.LG]LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes
Pawan Goyal, Peter Benner
http://arxiv.org/abs/2103.02249v1
• [cs.LG]Land Cover Mapping in Limited Labels Scenario: A Survey
Rahul Ghosh, Xiaowei Jia, Vipin Kumar
http://arxiv.org/abs/2103.02429v1
• [cs.LG]Meta-Learning with Variational Bayes
Lucas D. Lingle
http://arxiv.org/abs/2103.02265v1
• [cs.LG]Minimax Model Learning
Cameron Voloshin, Nan Jiang, Yisong Yue
http://arxiv.org/abs/2103.02084v1
• [cs.LG]Minimum-Distortion Embedding
Akshay Agrawal, Alnur Ali, Stephen Boyd
http://arxiv.org/abs/2103.02559v1
• [cs.LG]Multi-task Learning by Leveraging the Semantic Information
Fan Zhou, Brahim Chaib-draa, Boyu Wang
http://arxiv.org/abs/2103.02546v1
• [cs.LG]On the effectiveness of adversarial training against common corruptions
Klim Kireev, Maksym Andriushchenko, Nicolas Flammarion
http://arxiv.org/abs/2103.02325v1
• [cs.LG]Online Adversarial Attacks
Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel
http://arxiv.org/abs/2103.02014v1
• [cs.LG]PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer
Yiling Jia, Huazheng Wang, Stephen Guo, Hongning Wang
http://arxiv.org/abs/2103.00368v2
• [cs.LG]Parametric Complexity Bounds for Approximating PDEs with Neural Networks
Tanya Marwah, Zachary C. Lipton, Andrej Risteski
http://arxiv.org/abs/2103.02138v1
• [cs.LG]Predicting Driver Fatigue in Automated Driving with Explainability
Feng Zhou, Areen Alsaid, Mike Blommer, Reates Curry, Radhakrishnan Swaminathan, Dev Kochhar, Walter Talamonti, Louis Tijerina
http://arxiv.org/abs/2103.02162v1
• [cs.LG]Regularizing towards Causal Invariance: Linear Models with Proxies
Michael Oberst, Nikolaj Thams, Jonas Peters, David Sontag
http://arxiv.org/abs/2103.02477v1
• [cs.LG]Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG
Arshdeep Sekhon, Zhe Wang, Yanjun Qi
http://arxiv.org/abs/2103.02405v1
• [cs.LG]Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction
Youngjoo Kim, Peng Wang, Lyudmila Mihaylova
http://arxiv.org/abs/2103.02578v1
• [cs.LG]Two-Stage Framework for Seasonal Time Series Forecasting
Qingyang Xu, Qingsong Wen, Liang Sun
http://arxiv.org/abs/2103.02144v1
• [cs.LG]Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making
Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni
http://arxiv.org/abs/2103.02071v1
• [cs.LG]Variance Reduction in Training Forecasting Models with Subgroup Sampling
Yucheng Lu, Youngsuk Park, Lifan Chen, Yuyang Wang, Christopher De Sa, Dean Foster
http://arxiv.org/abs/2103.02062v1
• [cs.MA]Inference-Based Deterministic Messaging For Multi-Agent Communication
Varun Bhatt, Michael Buro
http://arxiv.org/abs/2103.02150v1
• [cs.NE]A continuous-state cellular automata algorithm for global optimization
Juan Carlos Seck-Tuoh-Mora, Norberto Hernandez-Romero, Pedro Lagos-Eulogio, Joselito Medina-Marin, Nadia Samantha Zuñiga-Peña
http://arxiv.org/abs/2103.02076v1
• [cs.NE]Surrogate-assisted cooperative signal optimization for large-scale traffic networks
Yongsheng Liang, Zhigang Ren, Lin Wang, Hanqing Liu, Wenhao Du
http://arxiv.org/abs/2103.02107v1
• [cs.RO]A 3D Printing Hexacopter: Design and Demonstration
Alexander Nettekoven, Ufuk Topcu
http://arxiv.org/abs/2103.02063v1
• [cs.RO]A Human-Centered Dynamic Scheduling Architecture for Collaborative Application
Andrea Pupa, Wietse Van Dijk, Cristian Secchi
http://arxiv.org/abs/2103.01831v2
• [cs.RO]Advancing Mixture Models for Least Squares Optimization
Tim Pfeifer, Sven Lange, Peter Protzel
http://arxiv.org/abs/2103.02472v1
• [cs.RO]Cellular Formation Maintenance and Collision Avoidance Using Centroid-Based Point Set Registration in a Swarm of Drones
Jawad N. Yasin, Huma Mahboob, Mohammad-Hashem Haghbayan, Muhammad Mehboob Yasin, Juha Plosila
http://arxiv.org/abs/2103.02480v1
• [cs.RO]Controlling the Sense of Agency in Dyadic Robot Interaction: An Active Inference Approach
Nadine Wirkuttis, Jun Tani
http://arxiv.org/abs/2103.02137v1
• [cs.RO]Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap
Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasiia Varava, Hang Yin, Alessandro Marino, Danica Kragic
http://arxiv.org/abs/2103.02554v1
• [cs.RO]Inertial based Integration with Transformed INS Mechanization in Earth Frame
Lubin Chang, Jingbo Di, Fangjun Qin
http://arxiv.org/abs/2103.02229v1
• [cs.RO]Learning to Fly — a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
Jacopo Panerati, Hehui Zheng, SiQi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig
http://arxiv.org/abs/2103.02142v1
• [cs.RO]Obstacle Avoidance onboard MAVs using a FMCW RADAR
Nikhil Wessendorp, Raoul Dinaux, Julien Dupeyroux, Guido de Croon
http://arxiv.org/abs/2103.02050v1
• [cs.RO]RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images
Minghao Gou, Hao-Shu Fang, Zhanda Zhu, Sheng Xu, Chenxi Wang, Cewu Lu
http://arxiv.org/abs/2103.02184v1
• [cs.RO]Reinforcement Learning Control of a Forestry Crane Manipulator
Jennifer Andersson, Kenneth Bodin, Daniel Lindmark, Martin Servin, Erik Wallin
http://arxiv.org/abs/2103.02315v1
• [cs.RO]Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee
Liang Hu, Yujie Tang, Zhipeng Zhou, Wei Pan
http://arxiv.org/abs/2103.02357v1
• [cs.RO]Semantic constraints to represent common sense required in household actions for multi-modal Learning-from-observation robot
Katsushi Ikeuchi, Naoki Wake, Riku Arakawa, Kazuhiro Sasabuchi, Jun Takamatsu
http://arxiv.org/abs/2103.02201v1
• [cs.RO]Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities
Shaoshan Liu, Bo Yu, Jie Tang, Qi Zhu
http://arxiv.org/abs/2103.02176v1
• [cs.SD]Continuous Speech Separation with Ad Hoc Microphone Arrays
Dongmei Wang, Takuya Yoshioka, Zhuo Chen, Xiaofei Wang, Tianyan Zhou, Zhong Meng
http://arxiv.org/abs/2103.02378v1
• [cs.SD]Multi-view Audio and Music Classification
Huy Phan, Huy Le Nguyen, Oliver Y. Chén, Lam Pham, Philipp Koch, Ian McLoughlin, Alfred Mertins
http://arxiv.org/abs/2103.02420v1
• [cs.SE]A Fault Localization and Debugging Support Framework driven by Bug Tracking Data
Thomas Hirsch
http://arxiv.org/abs/2103.02386v1
• [cs.SE]Automatically detecting the conflicts between software requirements based on finer semantic analysis
Weize Guo, Li Zhang, Xiaoli Lian
http://arxiv.org/abs/2103.02255v1
• [cs.SE]Root cause prediction based on bug reports
Thomas Hirsch, Birgit Hofer
http://arxiv.org/abs/2103.02372v1
• [cs.SI]COVID-19 vaccination strategies on dynamic networks
Quoc Huy Nguyen, Jessica Liebig, Md Shahzamal, Bernard Mans, Raja Jurdak
http://arxiv.org/abs/2103.01957v1
• [cs.SI]Estimating the Expected Influence Capacities of Nodes in Complex Networks under the Susceptible-Infectious-Recovered (SIR) Model
Aybike Şimşek
http://arxiv.org/abs/2103.02324v1
• [cs.SI]Extracting Complements and Substitutes from Sales Data: A Network Perspective
Yu Tian, Sebastian Lautz, Alisdiar Wallis, Renaud Lambiotte
http://arxiv.org/abs/2103.02042v1
• [cs.SI]Graph and Network Theory for the analysis of Criminal Networks
Lucia Cavallaro, Ovidiu Bagdasar, Pasquale De Meo, Giacomo Fiumara, Antonio Liotta
http://arxiv.org/abs/2103.02504v1
• [cs.SI]Modularity and Mutual Information in Networks: Two Sides of the Same Coin
Yongkang Guo, Zhihuan Huang, Yuqing Kong, Qian Wang
http://arxiv.org/abs/2103.02542v1
• [cs.SI]Multi-Task Representation Learning with Multi-View Graph Convolutional Networks
Hong Huang, Yu Song, Yao Wu, Jia Shi, Xia Xie, Hai Jin
http://arxiv.org/abs/2103.02236v1
• [cs.SI]Recurrent Graph Neural Network Algorithm for Unsupervised Network Community Detection
Stanislav Sobolevsky
http://arxiv.org/abs/2103.02520v1
• [econ.EM]Minimax MSE Bounds and Nonlinear VAR Prewhitening for Long-Run Variance Estimation Under Nonstationarity
Alessandro Casini, Pierre Perron
http://arxiv.org/abs/2103.02235v1
• [eess.AS]Reverb Conversion of Mixed Vocal Tracks Using an End-to-end Convolutional Deep Neural Network
Junghyun Koo, Seungryeol Paik, Kyogu Lee
http://arxiv.org/abs/2103.02147v1
• [eess.IV]Arthroscopic Multi-Spectral Scene Segmentation Using Deep Learning
Shahnewaz Ali, Dr. Yaqub Jonmohamadi, Yu Takeda, Jonathan Roberts, Ross Crawford, Cameron Brown, Dr. Ajay K. Pandey
http://arxiv.org/abs/2103.02465v1
• [eess.IV]Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning
Pengfei Guo, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel
http://arxiv.org/abs/2103.02148v1
• [eess.IV]Real-World Single Image Super-Resolution: A Brief Review
Honggang Chen, Xiaohai He, Linbo Qing, Yuanyuan Wu, Chao Ren, Ce Zhu
http://arxiv.org/abs/2103.02368v1
• [eess.SP]Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network
Zhen Fu, Bo Wang, Xihong Wu, Jing Chen
http://arxiv.org/abs/2103.02183v1
• [eess.SP]Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir
http://arxiv.org/abs/2103.02087v1
• [eess.SP]Eye-gaze Estimation with HEOG and Neck EMG using Deep Neural Networks
Zhen Fu, Bo Wang, Fei Chen, Xihong Wu, Jing Chen
http://arxiv.org/abs/2103.02186v1
• [eess.SP]Rate Analysis and Deep Neural Network Detectors for SEFDM FTN Systems
Arsenia Chorti, David Picard
http://arxiv.org/abs/2103.02306v1
• [eess.SY]Computation Resource Allocation Solution in Recommender Systems
Xun Yang, Yunli Wang, Cheng Chen, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu
http://arxiv.org/abs/2103.02259v1
• [eess.SY]Constraint Control of a Boom Crane System
Michele Ambrosino, Arnaud Dawans, Emanuele Garone
http://arxiv.org/abs/2103.02528v1
• [eess.SY]Modeling and control of 5-DoF boom crane
Michele Ambrosino, Marc Berneman, Gianluca Carbone, Rémi Crépin, Arnaud Dawans, Emanuele Garone
http://arxiv.org/abs/2103.02454v1
• [eess.SY]Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks
Fabio Bonassi, Caio Fabio Oliveira da Silva, Riccardo Scattolini
http://arxiv.org/abs/2103.02383v1
• [eess.SY]Oscillation Reduction for Knuckle Cranes
Michele Ambrosino, Brent Thierens, Arnaud Dawans, Emanuele Garone
http://arxiv.org/abs/2103.02509v1
• [math.DG]On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators
Pasquale Cascarano, Patrizio Frosini, Nicola Quercioli, Amir Saki
http://arxiv.org/abs/2103.02543v1
• [math.OC]Stochastic Cutting Planes for Data-Driven Optimization
Dimitris Bertsimas, Michael Lingzhi Li
http://arxiv.org/abs/2103.02506v1
• [math.PR]Continuous scaled phase-type distributions
Hansjoerg Albrecher, Martin Bladt, Mogens Bladt, Jorge Yslas
http://arxiv.org/abs/2103.02457v1
• [math.PR]Departure-based Asymptotic Stochastic Order for Random Processes
Sugata Ghosh, Asok K. Nanda
http://arxiv.org/abs/2103.01727v2
• [math.PR]On Information (pseudo) Metric
Pierre Baudot
http://arxiv.org/abs/2103.02008v1
• [math.ST]Asymptotic approximation of the likelihood of stationary determinantal point processes
Arnaud Poinas, Frédéric Lavancier
http://arxiv.org/abs/2103.02310v1
• [math.ST]Detecting Outliers in High-dimensional Data with Mixed Variable Types using Conditional Gaussian Regression Models
Mads Lindskou, Torben Tvedebrink, Poul Svante Eriksen
http://arxiv.org/abs/2103.02366v1
• [math.ST]Incidence geometry in the projective plane via almost-principal minors of symmetric matrices
Tobias Boege
http://arxiv.org/abs/2103.02589v1
• [q-bio.NC]Deep Recurrent Encoder: A scalable end-to-end network to model brain signals
Omar Chehab, Alexandre Defossez, Jean-Christophe Loiseau, Alexandre Gramfort, Jean-Remi King
http://arxiv.org/abs/2103.02339v1
• [q-bio.NC]On Information Links
Pierre Baudot
http://arxiv.org/abs/2103.02002v1
• [q-bio.NC]To Deconvolve, or Not to Deconvolve: Inferences of Neuronal Activities using Calcium Imaging Data
Tong Shen, Gyorgy Lur, Xiangmin Xu, Zhaoxia Yu
http://arxiv.org/abs/2103.02163v1
• [quant-ph]Quantum Network Discrimination
Christoph Hirche
http://arxiv.org/abs/2103.02404v1
• [stat.AP]The `how’ matters: A simulation-based assessment of the potential contributions of LFD tests for school reopening in England
Kevin Kunzmann, Camilla Lingjaerde, Sheila Bird, Sylvia Richardson
http://arxiv.org/abs/2103.02035v1
• [stat.ME]A Comparison of Likelihood-Free Methods With and Without Summary Statistics
Christopher Drovandi, David T Frazier
http://arxiv.org/abs/2103.02407v1
• [stat.ME]Discussion of ‘Estimating time-varying causal excursion effect in mobile health with binary outcomes’ by T. Qian et al
F. Richard Guo, Thomas S. Richardson, James M. Robins
http://arxiv.org/abs/2103.02323v1
• [stat.ME]Dynamic estimation with random forests for discrete-time survival data
Hoora Moradian, Weichi Yao, Denis Larocque, Jeffrey S. Simonoff, Halina Frydman
http://arxiv.org/abs/2103.01355v2
• [stat.ME]Estimation of Dirichlet distribution parameters with bias-reducing adjusted score functions
Vincenzo Gioia, Euloge Clovis Kenne Pagui
http://arxiv.org/abs/2103.02413v1
• [stat.ME]Multiple imputation with missing data indicators
Lauren J Beesley, Irina Bondarenko, Michael R Elliott, Allison W Kurian, Steven J Katz, Jeremy M G Taylor
http://arxiv.org/abs/2103.02033v1
• [stat.ME]Product Partition Dynamic Generalized Linear Models
Victor S. Comitti, Fábio N. Demarqui, Thiago R. dos Santos, Jéssica da Assunção Almeida
http://arxiv.org/abs/2103.02470v1
• [stat.ME]Ridge-penalized adaptive Mantel test and its application in imaging genetics
Dustin Pluta, Tong Shen, Gui Xue, Chuansheng Chen, Hernando Ombao, Zhaoxia Yu
http://arxiv.org/abs/2103.02156v1
• [stat.ME]Robust Estimation of Loss Models for Lognormal Insurance Payment Severity Data
Chudamani Poudyal
http://arxiv.org/abs/2103.02089v1
• [stat.ML]Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
Adam Foster, Desi R. Ivanova, Ilyas Malik, Tom Rainforth
http://arxiv.org/abs/2103.02438v1
• [stat.ML]Learning Proposals for Probabilistic Programs with Inference Combinators
Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh, Jan-Willem van de Meent
http://arxiv.org/abs/2103.00668v2
• [stat.ML]Parsimonious Inference
Jed A. Duersch, Thomas A. Catanach
http://arxiv.org/abs/2103.02165v1
• [stat.ML]Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)
Jan Stanczuk, Christian Etmann, Lisa Maria Kreusser, Carola-Bibiane Schonlieb
http://arxiv.org/abs/2103.01678v2