cond-mat.stat-mech - 统计数学
    cs.AI - 人工智能
    cs.CG - 计算几何学
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.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.NE - 神经与进化计算
    cs.RO - 机器人学
    cs.SD - 声音处理
    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.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.med-ph - 医学物理学
    q-fin.GN - 通用财务
    q-fin.RM - 风险管理
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cond-mat.stat-mech]Analysis of autocorrelation times in Neural Markov Chain Monte Carlo simulations
    • [cs.AI]An Activity-Based Model of Transport Demand for Greater Melbourne
    • [cs.AI]YMIR: A Rapid Data-centric Development Platform for Vision Applications
    • [cs.CG]Embeddings and labeling schemes for A*
    • [cs.CL]Between welcome culture and border fence. A dataset on the European refugee crisis in German newspaper reports
    • [cs.CL]Building a Question Answering System for the Manufacturing Domain
    • [cs.CL]DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions
    • [cs.CL]Does BERT look at sentiment lexicon?
    • [cs.CL]Lattention: Lattice-attention in ASR rescoring
    • [cs.CL]Lexicon-based Methods vs. BERT for Text Sentiment Analysis
    • [cs.CL]Pointer over Attention: An Improved Bangla Text Summarization Approach Using Hybrid Pointer Generator Network
    • [cs.CL]SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech
    • [cs.CL]Small Changes Make Big Differences: Improving Multi-turn Response Selection \in Dialogue Systems via Fine-Grained Contrastive Learning
    • [cs.CL]Toxicity Detection can be Sensitive to the Conversational Context
    • [cs.CR]A Hybrid Approach for an Interpretable and Explainable Intrusion Detection System
    • [cs.CR]A Voting-Based Blockchain Interoperability Oracle
    • [cs.CR]Constraint-based Diversification of JOP Gadgets
    • [cs.CR]Exposing Weaknesses of Malware Detectors with Explainability-Guided Evasion Attacks
    • [cs.CV]A 3D 2D convolutional Neural Network Model for Hyperspectral Image Classification
    • [cs.CV]Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions
    • [cs.CV]Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation
    • [cs.CV]ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
    • [cs.CV]DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion
    • [cs.CV]DVCFlow: Modeling Information Flow Towards Human-like Video Captioning
    • [cs.CV]Deep Domain Adaptation for Pavement Crack Detection
    • [cs.CV]Enhanced countering adversarial attacks via input denoising and feature restoring
    • [cs.CV]Evaluating Self and Semi-Supervised Methods for Remote Sensing Segmentation Tasks
    • [cs.CV]Factorisation-based Image Labelling
    • [cs.CV]Global and Local Alignment Networks for Unpaired Image-to-Image Translation
    • [cs.CV]Grounded Situation Recognition with Transformers
    • [cs.CV]Learning to Detect Instance-level Salient Objects Using Complementary Image Labels
    • [cs.CV]Medical Visual Question Answering: A Survey
    • [cs.CV]Meta Clustering Learning for Large-scale Unsupervised Person Re-identification
    • [cs.CV]More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech
    • [cs.CV]Neural Image Beauty Predictor Based on Bradley-Terry Model
    • [cs.CV]Panoptic Segmentation: A Review
    • [cs.CV]Probabilistic Regression with Huber Distributions
    • [cs.CV]Semi-Supervised Domain Generalization in Real World:New Benchmark and Strong Baseline
    • [cs.CV]Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression
    • [cs.CV]Xp-GAN: Unsupervised Multi-object Controllable Video Generation
    • [cs.DC]Improving a High Productivity Data Analytics Chapel Framework
    • [cs.DC]Parallel Algorithms for Masked Sparse Matrix-Matrix Products
    • [cs.DC]QGTC: Accelerating Quantized GNN via GPU Tensor Core
    • [cs.DC]START: Straggler Prediction and Mitigation for Cloud Computing Environments using Encoder LSTM Networks
    • [cs.DS]Randomized Algorithms for Monotone Submodular Function Maximization on the Integer Lattice
    • [cs.DS]Uniform Brackets, Containers, and Combinatorial Macbeath Regions
    • [cs.IR]Beyond NDCG: behavioral testing of recommender systems with RecList
    • [cs.IR]GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation
    • [cs.IR]Quality and Cost Trade-offs in Passage Re-ranking Task
    • [cs.IR]RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation
    • [cs.IR]SpeedyIBL: A Solution to the Curse of Exponential Growth in Instance-Based Learning Models of Decisions from Experience
    • [cs.IT]A new class of MDS symbol-pair codes
    • [cs.IT]Autoencoder-based Semantic Communication Systems with Relay Channels
    • [cs.IT]Joint Delay and Phase Precoding Under True-Time Delay Constraint for THz Massive MIMO
    • [cs.IT]On the Download Rate of Homomorphic Secret Sharing
    • [cs.IT]Sum Capacity Loss Quantification With Optimal and Sub-Optimal Precoding in Heterogeneous Multiuser Channels
    • [cs.LG]Adversarial Deep Learning for Online Resource Allocation
    • [cs.LG]An Expectation-Maximization Perspective on Federated Learning
    • [cs.LG]Combined Scaling for Zero-shot Transfer Learning
    • [cs.LG]Data imputation and comparison of custom ensemble models with existing libraries like XGBoost, Scikit learn, etc. for Predictive Equipment failure
    • [cs.LG]Defeating Catastrophic Forgetting via Enhanced Orthogonal Weights Modification
    • [cs.LG]Expert-Guided Symmetry Detection in Markov Decision Processes
    • [cs.LG]Explainable predictions of different machine learning algorithms used to predict Early Stage diabetes
    • [cs.LG]Explaining GNN over Evolving Graphs using Information Flow
    • [cs.LG]Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari
    • [cs.LG]Fooling Adversarial Training with Inducing Noise
    • [cs.LG]Generalized Decision Transformer for Offline Hindsight Information Matching
    • [cs.LG]Graph Neural Networks with Feature and Structure Aware Random Walk
    • [cs.LG]Learning in High-Dimensional Feature Spaces Using ANOVA-Based Fast Matrix-Vector Multiplication
    • [cs.LG]Maximum Mean Discrepancy for Generalization in the Presence of Distribution and Missingness Shift
    • [cs.LG]Meta Adversarial Perturbations
    • [cs.LG]On the power of adaptivity in statistical adversaries
    • [cs.LG]Positional Encoder Graph Neural Networks for Geographic Data
    • [cs.LG]Resilience from Diversity: Population-based approach to harden models against adversarial attacks
    • [cs.LG]Solving Visual Analogies Using Neural Algorithmic Reasoning
    • [cs.LG]Subspace Graph Physics: Real-Time Rigid Body-Driven Granular Flow Simulation
    • [cs.LG]The Joy of Neural Painting
    • [cs.LG]Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method
    • [cs.LG]Towards Traffic Scene Description: The Semantic Scene Graph
    • [cs.LG]UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring
    • [cs.LG]Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing
    • [cs.LG]Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning
    • [cs.LG]Unsupervised Visual Time-Series Representation Learning and Clustering
    • [cs.NE]E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs
    • [cs.NE]HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space
    • [cs.RO]BLUE: A 3D Dynamic Bipedal Robot
    • [cs.RO]Predictive Scheduling of Collaborative Mobile Robots for Improved Crop-transport Logistics of Manually Harvested Crops
    • [cs.RO]Reinforcement Learning with Adaptive Curriculum Dynamics Randomization for Fault-Tolerant Robot Control
    • [cs.RO]Towards intrinsic force sensing and control in parallel soft robots
    • [cs.RO]Unsupervised Online Learning for Robotic Interestingness with Visual Memory
    • [cs.RO]Visual Goal-Directed Meta-Learning with Contextual Planning Networks
    • [cs.SD]Improved Prosodic Clustering for Multispeaker and Speaker-independent Phoneme-level Prosody Control
    • [cs.SD]Interpreting deep urban sound classification using Layer-wise Relevance Propagation
    • [cs.SD]Prosodic Clustering for Phoneme-level Prosody Control in End-to-End Speech Synthesis
    • [cs.SD]Word-Level Style Control for Expressive, Non-attentive Speech Synthesis
    • [eess.AS]Semi-supervised transfer learning for language expansion of end-to-end speech recognition models to low-resource languages
    • [eess.IV]An Analysis of the Influence of Transfer Learning When Measuring the Tortuosity of Blood Vessels
    • [eess.IV]Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set
    • [eess.SP]Concurrent Transmission and Multiuser Detection of LoRa Signals
    • [eess.SP]IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal
    • [eess.SP]Over-the-Air Federated Learning with Retransmissions (Extended Version)
    • [eess.SY]Modeling Flash Memory Channels Using Conditional Generative Nets
    • [math.OC]FastDOG: Fast Discrete Optimization on GPU
    • [math.PR]The Marcinkiewicz-Zygmund law of large numbers for exchangeable arrays
    • [math.ST]An Asymptotic Equivalence between the Mean-Shift Algorithm and the Cluster Tree
    • [math.ST]Posterior concentration and fast convergence rates for generalized Bayesian learning
    • [math.ST]Sequential anomaly detection with sampling constraints
    • [math.ST]The Hurst roughness exponent and its model-free estimation
    • [physics.med-ph]Assessment of Fetal and Maternal Well-Being During Pregnancy Using Passive Wearable Inertial Sensor
    • [q-fin.GN]A transformer-based model for default prediction in mid-cap corporate markets
    • [q-fin.RM]Assessing the impact of the COVID-19 shock on a stochastic multi-population mortality model
    • [quant-ph]Benchmarking Small-Scale Quantum Devices on Computing Graph Edit Distance
    • [quant-ph]Policy Gradient Approach to Compilation of Variational Quantum Circuits
    • [stat.AP]Analysis of an interventional protein experiment using a vine copula based structural equation model
    • [stat.AP]Datasets for Online Controlled Experiments
    • [stat.AP]Optimal Allocation of Water and Sanitation Facilities To Prevent Communicable Diarrheal Diseases in Senegal Under Partial Interference
    • [stat.AP]Real-time Coherency Identification using a Window-Size-Based Recursive Typicality Data Analysis
    • [stat.CO]The Application of Zig-Zag Sampler in Sequential Markov Chain Monte Carlo
    • [stat.ME]History and Nature of the Jeffreys-Lindley Paradox
    • [stat.ME]Model-assisted complier average treatment effect estimates in randomized experiments with non-compliance and a binary outcome
    • [stat.ME]Periodic Variable Stars Modulated by Time-Varying Parameters
    • [stat.ME]Population based change-point detection for the identification of homozygosity islands
    • [stat.ML]A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling
    • [stat.ML]Achievability and Impossibility of Exact Pairwise Ranking
    • [stat.ML]Composite Goodness-of-fit Tests with Kernels
    • [stat.ML]Deep IDA: A Deep Learning Method for Integrative Discriminant Analysis of Multi-View Data with Feature Ranking — An Application to COVID-19 severity
    • [stat.ML]Gaussian Determinantal Processes: a new model for directionality in data
    • [stat.ML]Non asymptotic bounds in asynchronous sum-weight gossip protocols
    • [stat.ML]Physics-enhanced Neural Networks in the Small Data Regime
    • [stat.ML]Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification

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

    • [cond-mat.stat-mech]Analysis of autocorrelation times in Neural Markov Chain Monte Carlo simulations
    Piotr Białas, Piotr Korcyl, Tomasz Stebel
    http://arxiv.org/abs/2111.10189v1

    • [cs.AI]An Activity-Based Model of Transport Demand for Greater Melbourne
    Alan Both, Dhirendra Singh, Afshin Jafari, Billie Giles-Corti, Lucy Gunn
    http://arxiv.org/abs/2111.10061v1

    • [cs.AI]YMIR: A Rapid Data-centric Development Platform for Vision Applications
    Phoenix X. Huang, Wenze Hu, William Brendel, Manmohan Chandraker, Li-Jia Li, Xiaoyu Wang
    http://arxiv.org/abs/2111.10046v1

    • [cs.CG]Embeddings and labeling schemes for A*
    Talya Eden, Piotr Indyk, Haike Xu
    http://arxiv.org/abs/2111.10041v1

    • [cs.CL]Between welcome culture and border fence. A dataset on the European refugee crisis in German newspaper reports
    Nico Blokker, André Blessing, Erenay Dayanik, Jonas Kuhn, Sebastian Padó, Gabriella Lapesa
    http://arxiv.org/abs/2111.10142v1

    • [cs.CL]Building a Question Answering System for the Manufacturing Domain
    Liu Xingguang, Cheng Zhenbo, Shen Zhengyuan, Zhang Haoxin, Meng Hangcheng, Xu Xuesong, Xiao Gang
    http://arxiv.org/abs/2111.10044v1

    • [cs.CL]DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions
    Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu
    http://arxiv.org/abs/2111.10058v1

    • [cs.CL]Does BERT look at sentiment lexicon?
    Elena Razova, Sergey Vychegzhanin, Evgeny Kotelnikov
    http://arxiv.org/abs/2111.10100v1

    • [cs.CL]Lattention: Lattice-attention in ASR rescoring
    Prabhat Pandey, Sergio Duarte Torres, Ali Orkan Bayer, Ankur Gandhe, Volker Leutnant
    http://arxiv.org/abs/2111.10157v1

    • [cs.CL]Lexicon-based Methods vs. BERT for Text Sentiment Analysis
    Anastasia Kotelnikova, Danil Paschenko, Klavdiya Bochenina, Evgeny Kotelnikov
    http://arxiv.org/abs/2111.10097v1

    • [cs.CL]Pointer over Attention: An Improved Bangla Text Summarization Approach Using Hybrid Pointer Generator Network
    Nobel Dhar, Gaurob Saha, Prithwiraj Bhattacharjee, Avi Mallick, Md Saiful Islam
    http://arxiv.org/abs/2111.10269v1

    • [cs.CL]SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech
    Suwon Shon, Ankita Pasad, Felix Wu, Pablo Brusco, Yoav Artzi, Karen Livescu, Kyu J. Han
    http://arxiv.org/abs/2111.10367v1

    • [cs.CL]Small Changes Make Big Differences: Improving Multi-turn Response Selection \in Dialogue Systems via Fine-Grained Contrastive Learning
    Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang
    http://arxiv.org/abs/2111.10154v1

    • [cs.CL]Toxicity Detection can be Sensitive to the Conversational Context
    Alexandros Xenos, John Pavlopoulos, Ion Androutsopoulos, Lucas Dixon, Jeffrey Sorensen, Leo Laugier
    http://arxiv.org/abs/2111.10223v1

    • [cs.CR]A Hybrid Approach for an Interpretable and Explainable Intrusion Detection System
    Tiago Dias, Nuno Oliveira, Norberto Sousa, Isabel Praça, Orlando Sousa
    http://arxiv.org/abs/2111.10280v1

    • [cs.CR]A Voting-Based Blockchain Interoperability Oracle
    Michael Sober, Giulia Scaffino, Christof Spanring, Stefan Schulte
    http://arxiv.org/abs/2111.10091v1

    • [cs.CR]Constraint-based Diversification of JOP Gadgets
    Rodothea Myrsini Tsoupidi, Roberto Castañeda Lozano, Benoit Baudry
    http://arxiv.org/abs/2111.09934v1

    • [cs.CR]Exposing Weaknesses of Malware Detectors with Explainability-Guided Evasion Attacks
    Wei Wang, Ruoxi Sun, Tian Dong, Shaofeng Li, Minhui Xue, Gareth Tyson, Haojin Zhu
    http://arxiv.org/abs/2111.10085v1

    • [cs.CV]A 3D 2D convolutional Neural Network Model for Hyperspectral Image Classification
    Jiaxin Cao, Xiaoyan Li
    http://arxiv.org/abs/2111.10293v1

    • [cs.CV]Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions
    Hongwei Xue, Tiankai Hang, Yanhong Zeng, Yuchong Sun, Bei Liu, Huan Yang, Jianlong Fu, Baining Guo
    http://arxiv.org/abs/2111.10337v1

    • [cs.CV]Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation
    Guanglei Yang, Zhun Zhong, Hao Tang, Mingli Ding, Nicu Sebe, Elisa Ricci
    http://arxiv.org/abs/2111.10339v1

    • [cs.CV]ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
    Laurynas Karazija, Iro Laina, Christian Rupprecht
    http://arxiv.org/abs/2111.10265v1

    • [cs.CV]DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion
    Renrui Zhang, Ziyao Zeng, Ziyu Guo, Xinben Gao, Kexue Fu, Jianbo Shi
    http://arxiv.org/abs/2111.10332v1

    • [cs.CV]DVCFlow: Modeling Information Flow Towards Human-like Video Captioning
    Xu Yan, Zhengcong Fei, Shuhui Wang, Qingming Huang, Qi Tian
    http://arxiv.org/abs/2111.10146v1

    • [cs.CV]Deep Domain Adaptation for Pavement Crack Detection
    Huijun Liu, Chunhua Yang, Ao Li, Yongxin Ge, Sheng Huang, Xin Feng, Zhimin Ruan
    http://arxiv.org/abs/2111.10101v1

    • [cs.CV]Enhanced countering adversarial attacks via input denoising and feature restoring
    Yanni Li, Wenhui Zhang, Jiawei Liu, Xiaoli Kou, Hui Li, Jiangtao Cui
    http://arxiv.org/abs/2111.10075v1

    • [cs.CV]Evaluating Self and Semi-Supervised Methods for Remote Sensing Segmentation Tasks
    Chaitanya Patel, Shashank Sharma, Varun Gulshan
    http://arxiv.org/abs/2111.10079v1

    • [cs.CV]Factorisation-based Image Labelling
    Yu Yan, Yael Balbastre, Mikael Brudfors, John Ashburner
    http://arxiv.org/abs/2111.10326v1

    • [cs.CV]Global and Local Alignment Networks for Unpaired Image-to-Image Translation
    Guanglei Yang, Hao Tang, Humphrey Shi, Mingli Ding, Nicu Sebe, Radu Timofte, Luc Van Gool, Elisa Ricci
    http://arxiv.org/abs/2111.10346v1

    • [cs.CV]Grounded Situation Recognition with Transformers
    Junhyeong Cho, Youngseok Yoon, Hyeonjun Lee, Suha Kwak
    http://arxiv.org/abs/2111.10135v1

    • [cs.CV]Learning to Detect Instance-level Salient Objects Using Complementary Image Labels
    Xin Tian, Ke Xu, Xin Yang, Baocai Yin, Rynson W. H. Lau
    http://arxiv.org/abs/2111.10137v1

    • [cs.CV]Medical Visual Question Answering: A Survey
    Zhihong Lin, Donghao Zhang, Qingyi Tac, Danli Shi, Gholamreza Haffari, Qi Wu, Mingguang He, Zongyuan Ge
    http://arxiv.org/abs/2111.10056v1

    • [cs.CV]Meta Clustering Learning for Large-scale Unsupervised Person Re-identification
    Xin Jin, Tianyu He, Zhiheng Yin, Xu Shen, Tongliang Liu, Xinchao Wang, Jianqiang Huang, Xian-Sheng Hua, Zhibo Chen
    http://arxiv.org/abs/2111.10032v1

    • [cs.CV]More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech
    Michael Hassid, Michelle Tadmor Ramanovich, Brendan Shillingford, Miaosen Wang, Ye Jia, Tal Remez
    http://arxiv.org/abs/2111.10139v1

    • [cs.CV]Neural Image Beauty Predictor Based on Bradley-Terry Model
    Shiyu Li, Hao Ma, Xiangyu Hu
    http://arxiv.org/abs/2111.10127v1

    • [cs.CV]Panoptic Segmentation: A Review
    Omar Elharrouss, Somaya Al-Maadeed, Nandhini Subramanian, Najmath Ottakath, Noor Almaadeed, Yassine Himeur
    http://arxiv.org/abs/2111.10250v1

    • [cs.CV]Probabilistic Regression with Huber Distributions
    David Mohlin, Gerald Bianchi, Josephine Sullivan
    http://arxiv.org/abs/2111.10296v1

    • [cs.CV]Semi-Supervised Domain Generalization in Real World:New Benchmark and Strong Baseline
    Luojun Lin, Han Xie, Zhifeng Yang, Zhishu Sun, Wenxi Liu, Yuanlong Yu, Weijie Chen, Shicai Yang, Di Xie
    http://arxiv.org/abs/2111.10221v1

    • [cs.CV]Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression
    Yuezhou Sun, Wenlong Zhao, Lijun Zhang, Xiao Liu, Hui Guan, Matei Zaharia
    http://arxiv.org/abs/2111.10320v1

    • [cs.CV]Xp-GAN: Unsupervised Multi-object Controllable Video Generation
    Bahman Rouhani, Mohammad Rahmati
    http://arxiv.org/abs/2111.10233v1

    • [cs.DC]Improving a High Productivity Data Analytics Chapel Framework
    Prashanth Pai, Andrej Jakovljević, Zoran Budimlić, Costin Iancu
    http://arxiv.org/abs/2111.10333v1

    • [cs.DC]Parallel Algorithms for Masked Sparse Matrix-Matrix Products
    Srđan Milaković, Oguz Selvitopi, Israt Nisa, Zoran Budimlić, Aydin Buluc
    http://arxiv.org/abs/2111.09947v1

    • [cs.DC]QGTC: Accelerating Quantized GNN via GPU Tensor Core
    Yuke Wang, Boyuan Feng, Yufei Ding
    http://arxiv.org/abs/2111.09547v2

    • [cs.DC]START: Straggler Prediction and Mitigation for Cloud Computing Environments using Encoder LSTM Networks
    Shreshth Tuli, Sukhpal Singh Gill, Peter Garraghan, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings
    http://arxiv.org/abs/2111.10241v1

    • [cs.DS]Randomized Algorithms for Monotone Submodular Function Maximization on the Integer Lattice
    Alberto Schiabel, Vyacheslav Kungurtsev, Jakub Marecek
    http://arxiv.org/abs/2111.10175v1

    • [cs.DS]Uniform Brackets, Containers, and Combinatorial Macbeath Regions
    Kunal Dutta, Arijit Ghosh, Shay Moran
    http://arxiv.org/abs/2111.10048v1

    • [cs.IR]Beyond NDCG: behavioral testing of recommender systems with RecList
    Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Chloe He, Brian Ko
    http://arxiv.org/abs/2111.09963v1

    • [cs.IR]GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation
    Desheng Cai, Jun Hu, Shengsheng Qian, Quan Fang, Quan Zhao, Changsheng Xu
    http://arxiv.org/abs/2111.10342v1

    • [cs.IR]Quality and Cost Trade-offs in Passage Re-ranking Task
    Pavel Podberezko, Vsevolod Mitskevich, Raman Makouski, Pavel Goncharov, Andrei Khobnia, Nikolay Bushkov, Marina Chernyshevich
    http://arxiv.org/abs/2111.09927v1

    • [cs.IR]RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation
    Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu
    http://arxiv.org/abs/2111.10093v1

    • [cs.IR]SpeedyIBL: A Solution to the Curse of Exponential Growth in Instance-Based Learning Models of Decisions from Experience
    Thuy Ngoc Nguyen, Duy Nhat Phan, Cleotilde Gonzalez
    http://arxiv.org/abs/2111.10268v1

    • [cs.IT]A new class of MDS symbol-pair codes
    Canze Zhu, Qunying Liao
    http://arxiv.org/abs/2111.10281v1

    • [cs.IT]Autoencoder-based Semantic Communication Systems with Relay Channels
    Xinlai Luo, Zhiyong Chen, Bin Xia, Jiangzhou Wang
    http://arxiv.org/abs/2111.10083v1

    • [cs.IT]Joint Delay and Phase Precoding Under True-Time Delay Constraint for THz Massive MIMO
    Dang Qua Nguyen, Taejoon Kim
    http://arxiv.org/abs/2111.10365v1

    • [cs.IT]On the Download Rate of Homomorphic Secret Sharing
    Ingerid Fosli, Yuval Ishai, Victor I. Kolobov, Mary Wootters
    http://arxiv.org/abs/2111.10126v1

    • [cs.IT]Sum Capacity Loss Quantification With Optimal and Sub-Optimal Precoding in Heterogeneous Multiuser Channels
    Harsh Tataria, Mansoor Shafi, Dino Pjanić
    http://arxiv.org/abs/2111.10070v1

    • [cs.LG]Adversarial Deep Learning for Online Resource Allocation
    Bingqian Du, Zhiyi Huang, Chuan Wu
    http://arxiv.org/abs/2111.10285v1

    • [cs.LG]An Expectation-Maximization Perspective on Federated Learning
    Christos Louizos, Matthias Reisser, Joseph Soriaga, Max Welling
    http://arxiv.org/abs/2111.10192v1

    • [cs.LG]Combined Scaling for Zero-shot Transfer Learning
    Hieu Pham, Zihang Dai, Golnaz Ghiasi, Hanxiao Liu, Adams Wei Yu, Minh-Thang Luong, Mingxing Tan, Quoc V. Le
    http://arxiv.org/abs/2111.10050v1

    • [cs.LG]Data imputation and comparison of custom ensemble models with existing libraries like XGBoost, Scikit learn, etc. for Predictive Equipment failure
    Tejas Y. Deo
    http://arxiv.org/abs/2111.10088v1

    • [cs.LG]Defeating Catastrophic Forgetting via Enhanced Orthogonal Weights Modification
    Yanni Li, Bing Liu, Kaicheng Yao, Xiaoli Kou, Pengfan Lv, Yueshen Xu, Jiangtao Cui
    http://arxiv.org/abs/2111.10078v1

    • [cs.LG]Expert-Guided Symmetry Detection in Markov Decision Processes
    Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
    http://arxiv.org/abs/2111.10297v1

    • [cs.LG]Explainable predictions of different machine learning algorithms used to predict Early Stage diabetes
    V. Vakil, S. Pachchigar, C. Chavda, S. Soni
    http://arxiv.org/abs/2111.09939v1

    • [cs.LG]Explaining GNN over Evolving Graphs using Information Flow
    Yazheng Liu, Xi Zhang, Sihong Xie
    http://arxiv.org/abs/2111.10037v1

    • [cs.LG]Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari
    Dominik Schmidt, Thomas Schmied
    http://arxiv.org/abs/2111.10247v1

    • [cs.LG]Fooling Adversarial Training with Inducing Noise
    Zhirui Wang, Yifei Wang, Yisen Wang
    http://arxiv.org/abs/2111.10130v1

    • [cs.LG]Generalized Decision Transformer for Offline Hindsight Information Matching
    Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu
    http://arxiv.org/abs/2111.10364v1

    • [cs.LG]Graph Neural Networks with Feature and Structure Aware Random Walk
    Wei Zhuo, Chenyun Yu, Guang Tan
    http://arxiv.org/abs/2111.10102v1

    • [cs.LG]Learning in High-Dimensional Feature Spaces Using ANOVA-Based Fast Matrix-Vector Multiplication
    Franziska Nestler, Martin Stoll, Theresa Wagner
    http://arxiv.org/abs/2111.10140v1

    • [cs.LG]Maximum Mean Discrepancy for Generalization in the Presence of Distribution and Missingness Shift
    Liwn Ouyang, Aaron Key
    http://arxiv.org/abs/2111.10344v1

    • [cs.LG]Meta Adversarial Perturbations
    Chia-Hung Yuan, Pin-Yu Chen, Chia-Mu Yu
    http://arxiv.org/abs/2111.10291v1

    • [cs.LG]On the power of adaptivity in statistical adversaries
    Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan
    http://arxiv.org/abs/2111.10352v1

    • [cs.LG]Positional Encoder Graph Neural Networks for Geographic Data
    Konstantin Klemmer, Nathan Safir, Daniel B Neill
    http://arxiv.org/abs/2111.10144v1

    • [cs.LG]Resilience from Diversity: Population-based approach to harden models against adversarial attacks
    Jasser Jasser, Ivan Garibay
    http://arxiv.org/abs/2111.10272v1

    • [cs.LG]Solving Visual Analogies Using Neural Algorithmic Reasoning
    Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash
    http://arxiv.org/abs/2111.10361v1

    • [cs.LG]Subspace Graph Physics: Real-Time Rigid Body-Driven Granular Flow Simulation
    Amin Haeri, Krzysztof Skonieczny
    http://arxiv.org/abs/2111.10206v1

    • [cs.LG]The Joy of Neural Painting
    Ernesto Diaz-Aviles, Claudia Orellana-Rodriguez, Beth Jochim
    http://arxiv.org/abs/2111.10283v1

    • [cs.LG]Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method
    Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex Kot
    http://arxiv.org/abs/2111.10055v1

    • [cs.LG]Towards Traffic Scene Description: The Semantic Scene Graph
    Maximilian Zipfl, J. Marius Zöllner
    http://arxiv.org/abs/2111.10196v1

    • [cs.LG]UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring
    Waleed A. Yousef, Issa Traore, William Briguglio
    http://arxiv.org/abs/2111.10010v1

    • [cs.LG]Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing
    Bing Zhai, Yu Guan, Michael Catt, Thomas Ploetz
    http://arxiv.org/abs/2111.10245v1

    • [cs.LG]Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning
    Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng
    http://arxiv.org/abs/2111.10103v1

    • [cs.LG]Unsupervised Visual Time-Series Representation Learning and Clustering
    Gaurangi Anand, Richi Nayak
    http://arxiv.org/abs/2111.10309v1

    • [cs.NE]E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs
    Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
    http://arxiv.org/abs/2111.10027v1

    • [cs.NE]HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space
    Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Iakov Korovin, Iakov Korovin, Mehrdad Saadatmand
    http://arxiv.org/abs/2111.10188v1

    • [cs.RO]BLUE: A 3D Dynamic Bipedal Robot
    German Vargas, Margarita Berrio, Jaime Arcos-Legarda
    http://arxiv.org/abs/2111.09920v1

    • [cs.RO]Predictive Scheduling of Collaborative Mobile Robots for Improved Crop-transport Logistics of Manually Harvested Crops
    Chen Peng
    http://arxiv.org/abs/2111.09959v1

    • [cs.RO]Reinforcement Learning with Adaptive Curriculum Dynamics Randomization for Fault-Tolerant Robot Control
    Wataru Okamoto, Hiroshi Kera, Kazuhiko Kawamoto
    http://arxiv.org/abs/2111.10005v1

    • [cs.RO]Towards intrinsic force sensing and control in parallel soft robots
    Lukas Lindenroth, Danail Stoyanov, Kawal Rhode, Hongbin Liu
    http://arxiv.org/abs/2111.10338v1

    • [cs.RO]Unsupervised Online Learning for Robotic Interestingness with Visual Memory
    Chen Wang, Yuheng Qiu, Wenshan Wang, Yafei Hu, Seungchan Kim, Sebastian Scherer
    http://arxiv.org/abs/2111.09793v2

    • [cs.RO]Visual Goal-Directed Meta-Learning with Contextual Planning Networks
    Corban G. Rivera, David A Handelman
    http://arxiv.org/abs/2111.09908v1

    • [cs.SD]Improved Prosodic Clustering for Multispeaker and Speaker-independent Phoneme-level Prosody Control
    Myrsini Christidou, Alexandra Vioni, Nikolaos Ellinas, Georgios Vamvoukakis, Konstantinos Markopoulos, Panos Kakoulidis, June Sig Sung, Hyoungmin Park, Aimilios Chalamandaris, Pirros Tsiakoulis
    http://arxiv.org/abs/2111.10168v1

    • [cs.SD]Interpreting deep urban sound classification using Layer-wise Relevance Propagation
    Marco Colussi, Stavros Ntalampiras
    http://arxiv.org/abs/2111.10235v1

    • [cs.SD]Prosodic Clustering for Phoneme-level Prosody Control in End-to-End Speech Synthesis
    Alexandra Vioni, Myrsini Christidou, Nikolaos Ellinas, Georgios Vamvoukakis, Panos Kakoulidis, Taehoon Kim, June Sig Sung, Hyoungmin Park, Aimilios Chalamandaris, Pirros Tsiakoulis
    http://arxiv.org/abs/2111.10177v1

    • [cs.SD]Word-Level Style Control for Expressive, Non-attentive Speech Synthesis
    Konstantinos Klapsas, Nikolaos Ellinas, June Sig Sung, Hyoungmin Park, Spyros Raptis
    http://arxiv.org/abs/2111.10173v1

    • [eess.AS]Semi-supervised transfer learning for language expansion of end-to-end speech recognition models to low-resource languages
    Jiyeon Kim, Mehul Kumar, Dhananjaya Gowda, Abhinav Garg, Chanwoo Kim
    http://arxiv.org/abs/2111.10047v1

    • [eess.IV]An Analysis of the Influence of Transfer Learning When Measuring the Tortuosity of Blood Vessels
    Matheus V. da Silva, Julie Ouellette, Baptiste Lacoste, Cesar H. Comin
    http://arxiv.org/abs/2111.10255v1

    • [eess.IV]Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set
    Ties van Rozendaal, Johann Brehmer, Yunfan Zhang, Reza Pourreza, Taco S. Cohen
    http://arxiv.org/abs/2111.10302v1

    • [eess.SP]Concurrent Transmission and Multiuser Detection of LoRa Signals
    The Khai Nguyen, Ha H. Nguyen, Ebrahim Bedeer
    http://arxiv.org/abs/2111.10022v1

    • [eess.SP]IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal
    Chun-Hsiang Chuang, Kong-Yi Chang, Chi-Sheng Huang, Tzyy-Ping Jung
    http://arxiv.org/abs/2111.10026v1

    • [eess.SP]Over-the-Air Federated Learning with Retransmissions (Extended Version)
    Henrik Hellström, Viktoria Fodor, Carlo Fischione
    http://arxiv.org/abs/2111.10267v1

    • [eess.SY]Modeling Flash Memory Channels Using Conditional Generative Nets
    Simeng Zheng, Chih-Hui Ho, Paul H. Siegel
    http://arxiv.org/abs/2111.10039v1

    • [math.OC]FastDOG: Fast Discrete Optimization on GPU
    Ahmed Abbas, Paul Swoboda
    http://arxiv.org/abs/2111.10270v1

    • [math.PR]The Marcinkiewicz-Zygmund law of large numbers for exchangeable arrays
    Laurent Davezies, Xavier D’Haultfoeuille, Yannick Guyonvarch
    http://arxiv.org/abs/2111.10317v1

    • [math.ST]An Asymptotic Equivalence between the Mean-Shift Algorithm and the Cluster Tree
    Ery Arias-Castro, Wanli Qiao
    http://arxiv.org/abs/2111.10298v1

    • [math.ST]Posterior concentration and fast convergence rates for generalized Bayesian learning
    Lam Si Tung Ho, Binh T. Nguyen, Vu Dinh, Duy Nguyen
    http://arxiv.org/abs/2111.10243v1

    • [math.ST]Sequential anomaly detection with sampling constraints
    Aristomenis Tsopelakos, Georgios Fellouris
    http://arxiv.org/abs/2111.09989v1

    • [math.ST]The Hurst roughness exponent and its model-free estimation
    Xiyue Han, Alexander Schied
    http://arxiv.org/abs/2111.10301v1

    • [physics.med-ph]Assessment of Fetal and Maternal Well-Being During Pregnancy Using Passive Wearable Inertial Sensor
    Eranda Somathilake, Upekha Delay, Janith Bandara Senanayaka, Samitha Gunarathne, Roshan Godaliyadda, Parakrama Ekanayake, Janaka Wijayakulasooriya, Chathura Rathnayake
    http://arxiv.org/abs/2111.10066v1

    • [q-fin.GN]A transformer-based model for default prediction in mid-cap corporate markets
    Kamesh Korangi, Christophe Mues, Cristián Bravo
    http://arxiv.org/abs/2111.09902v1

    • [q-fin.RM]Assessing the impact of the COVID-19 shock on a stochastic multi-population mortality model
    Jens Robben, Katrien Antonio, Sander Devriendt
    http://arxiv.org/abs/2111.10164v1

    • [quant-ph]Benchmarking Small-Scale Quantum Devices on Computing Graph Edit Distance
    Massimiliano Incudini, Fabio Tarocco, Riccardo Mengoni, Alessandra Di Pierro, Antonio Mandarino
    http://arxiv.org/abs/2111.10183v1

    • [quant-ph]Policy Gradient Approach to Compilation of Variational Quantum Circuits
    David A. Herrera-Martí
    http://arxiv.org/abs/2111.10227v1

    • [stat.AP]Analysis of an interventional protein experiment using a vine copula based structural equation model
    Claudia Czado, Sebastian Scharl
    http://arxiv.org/abs/2111.10113v1

    • [stat.AP]Datasets for Online Controlled Experiments
    C. H. Bryan Liu, Ângelo Cardoso, Paul Couturier, Emma J. McCoy
    http://arxiv.org/abs/2111.10198v1

    • [stat.AP]Optimal Allocation of Water and Sanitation Facilities To Prevent Communicable Diarrheal Diseases in Senegal Under Partial Interference
    Chan Park, Guanhua Chen, Menggang Yu, Hyunseung Kang
    http://arxiv.org/abs/2111.09932v1

    • [stat.AP]Real-time Coherency Identification using a Window-Size-Based Recursive Typicality Data Analysis
    Lucas Lugnani, Daniel Dotta, Mario R. A. Paternina, Joe Chow
    http://arxiv.org/abs/2111.10195v1

    • [stat.CO]The Application of Zig-Zag Sampler in Sequential Markov Chain Monte Carlo
    Yu Han, Kazuyuki Nakamura
    http://arxiv.org/abs/2111.10210v1

    • [stat.ME]History and Nature of the Jeffreys-Lindley Paradox
    Eric-Jan Wagenmakers, Alexander Ly
    http://arxiv.org/abs/2111.10191v1

    • [stat.ME]Model-assisted complier average treatment effect estimates in randomized experiments with non-compliance and a binary outcome
    Jiyang Ren, Hanzhong Liu
    http://arxiv.org/abs/2111.10109v1

    • [stat.ME]Periodic Variable Stars Modulated by Time-Varying Parameters
    Giovanni Motta, Darlin Soto, Márcio Catelan
    http://arxiv.org/abs/2111.10264v1

    • [stat.ME]Population based change-point detection for the identification of homozygosity islands
    Lucas Prates, Renan B Lemes, Tábita Hünemeier, Florencia Leonardi
    http://arxiv.org/abs/2111.10187v1

    • [stat.ML]A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling
    Eustache Diemert, Artem Betlei, Christophe Renaudin, Massih-Reza Amini, Théophane Gregoir, Thibaud Rahier
    http://arxiv.org/abs/2111.10106v1

    • [stat.ML]Achievability and Impossibility of Exact Pairwise Ranking
    Yihan He
    http://arxiv.org/abs/2111.10021v1

    • [stat.ML]Composite Goodness-of-fit Tests with Kernels
    Oscar Key, Tamara Fernandez, Arthur Gretton, François-Xavier Briol
    http://arxiv.org/abs/2111.10275v1

    • [stat.ML]Deep IDA: A Deep Learning Method for Integrative Discriminant Analysis of Multi-View Data with Feature Ranking — An Application to COVID-19 severity
    Jiuzhou Wang, Sandra E. Safo
    http://arxiv.org/abs/2111.09964v1

    • [stat.ML]Gaussian Determinantal Processes: a new model for directionality in data
    Subhro Ghosh, Philippe Rigollet
    http://arxiv.org/abs/2111.09990v1

    • [stat.ML]Non asymptotic bounds in asynchronous sum-weight gossip protocols
    David Picard, Jérôme Fellus, Stéphane Garnier
    http://arxiv.org/abs/2111.10248v1

    • [stat.ML]Physics-enhanced Neural Networks in the Small Data Regime
    Jonas Eichelsdörfer, Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis
    http://arxiv.org/abs/2111.10329v1

    • [stat.ML]Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification
    Cangxiong Chen, Neill D. F. Campbell
    http://arxiv.org/abs/2111.10178v1