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