astro-ph.EP - 地球与行星天体
    cond-mat.stat-mech - 统计数学
    cs.AI - 人工智能
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DC - 分布式、并行与集群计算
    cs.DS - 数据结构与算法
    cs.GR - 计算机图形学
    cs.HC - 人机接口
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SI - 社交网络与信息网络
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    math.ST - 统计理论
    physics.soc-ph - 物理学与社会
    q-bio.BM - 生物分子
    q-bio.QM - 定量方法
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.EP]Alleviating the transit timing variation bias in transit surveys. I. RIVERS: Method and detection of a pair of resonant super-Earths around Kepler-1705
    • [cond-mat.stat-mech]Cooperative multi-agent reinforcement learning for high-dimensional nonequilibrium control
    • [cond-mat.stat-mech]Thermodynamics of Encoding and Encoders
    • [cs.AI]Catastrophe, Compounding & Consistency in Choice
    • [cs.AI]Conversational Recommendation: Theoretical Model and Complexity Analysis
    • [cs.AI]DPLL(MAPF): an Integration of Multi-Agent Path Finding and SAT Solving Technologies
    • [cs.AI]Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation
    • [cs.AI]Explainability and the Fourth AI Revolution
    • [cs.AI]Multiway Storage Modification Machines
    • [cs.AI]One model Packs Thousands of Items with Recurrent Conditional Query Learning
    • [cs.AI]Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes
    • [cs.AI]Two steps to risk sensitivity
    • [cs.CL]AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization
    • [cs.CL]BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation
    • [cs.CL]Deciphering Speech: a Zero-Resource Approach to Cross-Lingual Transfer in ASR
    • [cs.CL]Extraction of Medication Names from Twitter Using Augmentation and an Ensemble of Language Models
    • [cs.CL]On Transferability of Prompt Tuning for Natural Language Understanding
    • [cs.CL]On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference
    • [cs.CL]PESTO: Switching Point based Dynamic and Relative Positional Encoding for Code-Mixed Languages
    • [cs.CL]RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation
    • [cs.CL]Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations
    • [cs.CL]Speeding Up Entmax
    • [cs.CL]SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets
    • [cs.CL]Variation and generality in encoding of syntactic anomaly information in sentence embeddings
    • [cs.CR]A lightweight blockchain-based access control scheme for integrated edge computing in the internet of things
    • [cs.CV]A comprehensive study of clustering a class of 2D shapes
    • [cs.CV]AlphaRotate: A Rotation Detection Benchmark using TensorFlow
    • [cs.CV]Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection
    • [cs.CV]Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
    • [cs.CV]Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
    • [cs.CV]Diversity-Promoting Human Motion Interpolation via Conditional Variational Auto-Encoder
    • [cs.CV]Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation
    • [cs.CV]Frequency learning for structured CNN filters with Gaussian fractional derivatives
    • [cs.CV]Identifying On-road Scenarios Predictive of ADHD usingDriving Simulator Time Series Data
    • [cs.CV]Meta-Teacher For Face Anti-Spoofing
    • [cs.CV]Monte Carlo dropout increases model repeatability
    • [cs.CV]Multimodal Virtual Point 3D Detection
    • [cs.CV]NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset
    • [cs.CV]Robust Analytics for Video-Based Gait Biometrics
    • [cs.CV]Sci-Net: a Scale Invariant Model for Building Detection from Aerial Images
    • [cs.CV]Self-supervised GAN Detector
    • [cs.CV]Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal Surveillance
    • [cs.CV]Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases
    • [cs.CV]The channel-spatial attention-based vision transformer network for automated, accurate prediction of crop nitrogen status from UAV imagery
    • [cs.CY]Accounting for carbon emissions caused by cryptocurrency and token systems
    • [cs.CY]Dataset of Philippine Presidents Speeches from 1935 to 2016
    • [cs.CY]Satellite Images and Deep Learning to Identify Discrepancy in Mailing Addresses with Applications to Census 2020 in Houston
    • [cs.CY]Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity
    • [cs.DC]Molecular Dynamics Simulations on Cloud Computing and Machine Learning Platforms
    • [cs.DC]Robust and Optimal Contention Resolution without Collision Detection
    • [cs.DC]Serverless Platforms on the Edge: A Performance Analysis
    • [cs.DS]Hierarchical Clustering: New Bounds and Objective
    • [cs.GR]Neuromuscular Control of the Face-Head-Neck Biomechanical Complex With Learning-Based Expression Transfer From Images and Videos
    • [cs.HC]Understanding the Information Needs and Practices of Human Supporters of an Online Mental Health Intervention to Inform Machine Learning Applications
    • [cs.IT]A Direct Construction of Prime-Power-Length Zero-Correlation Zone Sequences for QS-CDMA System
    • [cs.IT]A Reverse Jensen Inequality Result with Application to Mutual Information Estimation
    • [cs.IT]A Robust Deep Learning-Based Beamforming Design for RIS-assisted Multiuser MISO Communications with Practical Constraints
    • [cs.IT]Generalized active information: extensions to unbounded domains
    • [cs.IT]On Effective Secrecy Throughput of Underlay Spectrum Sharing 今日学术视野(2021.11.16) - 图1-今日学术视野(2021.11.16) - 图2/ Málaga Hybrid Model under Interference-and-Transmit Power Constraints
    • [cs.IT]Queue Length Violation Probability of Joint Channel and Buffer Aware Transmission
    • [cs.IT]SWIPT-Enabled Multiple Access Channel: Effects of Decoding Cost and Non-linear EH Model
    • [cs.IT]The Distance Distribution between Mobile Node and Reference Node in Regular Hexagon
    • [cs.IT]The complete weight enumerator of a subclass of optimal three-weight cyclic codes
    • [cs.LG]A Minimax Learning Approach to Off-Policy Evaluation in Partially Observable Markov Decision Processes
    • [cs.LG]A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps
    • [cs.LG]ADCB: An Alzheimer’s disease benchmark for evaluating observational estimators of causal effects
    • [cs.LG]AWD3: Dynamic Reduction of the Estimation Bias
    • [cs.LG]An Enhanced Adaptive Bi-clustering Algorithm through Building a Shielding Complex Sub-Matrix
    • [cs.LG]Approximating Optimal Transport via Low-rank and Sparse Factorization
    • [cs.LG]Automated question generation and question answering from Turkish texts using text-to-text transformers
    • [cs.LG]BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML
    • [cs.LG]Bi-Discriminator Class-Conditional Tabular GAN
    • [cs.LG]Can neural networks predict dynamics they have never seen?
    • [cs.LG]Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
    • [cs.LG]Causal Multi-Agent Reinforcement Learning: Review and Open Problems
    • [cs.LG]Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care
    • [cs.LG]DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents
    • [cs.LG]Distributed Sparse Regression via Penalization
    • [cs.LG]Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
    • [cs.LG]Fair AutoML
    • [cs.LG]Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting
    • [cs.LG]Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash
    • [cs.LG]Mobility prediction Based on Machine Learning Algorithms
    • [cs.LG]Monolithic Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment
    • [cs.LG]Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs
    • [cs.LG]Nonlinear Tensor Ring Network
    • [cs.LG]Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks
    • [cs.LG]Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity
    • [cs.LG]Resilient Consensus-based Multi-agent Reinforcement Learning
    • [cs.LG]STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks
    • [cs.LG]Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs
    • [cs.LG]Variational Auto-Encoder Architectures that Excel at Causal Inference
    • [cs.LG]deepstruct — linking deep learning and graph theory
    • [cs.NE]A Spiking Neuron Synaptic Plasticity Model Optimized for Unsupervised Learning
    • [cs.NE]Guided Sampling-based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis
    • [cs.NI]A Review on Communication Protocols for Autonomous Unmanned Aerial Vehicles for Inspection Application
    • [cs.NI]FaaS Execution Models for Edge Applications
    • [cs.RO]Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots
    • [cs.RO]Neural Motion Planning for Autonomous Parking
    • [cs.RO]Scalable Operator Allocation for Multi-Robot Assistance: A Restless Bandit Approach
    • [cs.RO]Self-Reflective Terrain-Aware Robot Adaptation for Consistent Off-Road Ground Navigation
    • [cs.RO]Towards Transferring Human Preferences from Canonical to Actual Assembly Tasks
    • [cs.SD]A Convolutional Neural Network Based Approach to Recognize Bangla Spoken Digits from Speech Signal
    • [cs.SD]Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization
    • [cs.SD]Fully Automatic Page Turning on Real Scores
    • [cs.SI]Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management
    • [eess.IV]Multiple Hypothesis Hypergraph Tracking for Posture Identification in Embryonic Caenorhabditis elegans
    • [eess.IV]Transformer-based Image Compression
    • [eess.SP]A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection
    • [eess.SP]Unique Bispectrum Inversion for Signals with Finite Spectral/Temporal Support
    • [math.ST]Differential privacy and robust statistics in high dimensions
    • [math.ST]Higher-Order Coverage Errors of Batching Methods via Edgeworth Expansions on 今日学术视野(2021.11.16) - 图3-Statistics
    • [math.ST]Wasserstein convergence in Bayesian deconvolution models
    • [physics.soc-ph]Refinement for community structures of bipartite networks
    • [q-bio.BM]Benchmarking deep generative models for diverse antibody sequence design
    • [q-bio.QM]Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2
    • [stat.AP]Employment in Tourism Industries: Are there Subsectors with a Potentially Higher Level of Income?
    • [stat.AP]Joint Models for Cause-of-Death Mortality in Multiple Populations
    • [stat.AP]Using Bayesian Network Analysis to Reveal Complex Natures of Relationships
    • [stat.CO]Sampling from multimodal distributions using tempered Hamiltonian transitions
    • [stat.ME]Dynamic treatment effects: high-dimensional inference under model misspecification
    • [stat.ME]Epistasis Detection Via the Joint Cumulant
    • [stat.ME]G-optimal grid designs for kriging models
    • [stat.ME]High-Dimensional Functional Mixed-effect Model for Bilevel Repeated Measurements
    • [stat.ME]Histograms lie about distribution shapes and Pearson’s coefficient of variation lies about variability
    • [stat.ME]Modelling stochastic time delay for regression analysis
    • [stat.ME]Multi-task Learning for Compositional Data via Sparse Network Lasso
    • [stat.ME]The expectation-maximization algorithm for autoregressive models with normal inverse Gaussian innovations
    • [stat.ML]Convergence Rates for the MAP of an Exponential Family and Stochastic Mirror Descent — an Open Problem
    • [stat.ML]Simplifying approach to Node Classification in Graph Neural Networks

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

    • [astro-ph.EP]Alleviating the transit timing variation bias in transit surveys. I. RIVERS: Method and detection of a pair of resonant super-Earths around Kepler-1705
    A. Leleu, G. Chatel, S. Udry, Y. Alibert, J. -B. Delisle, R. Mardling
    http://arxiv.org/abs/2111.06825v1

    • [cond-mat.stat-mech]Cooperative multi-agent reinforcement learning for high-dimensional nonequilibrium control
    Shriram Chennakesavalu, Grant M. Rotskoff
    http://arxiv.org/abs/2111.06875v1

    • [cond-mat.stat-mech]Thermodynamics of Encoding and Encoders
    Yang Tian, Pei Sun
    http://arxiv.org/abs/2111.06624v1

    • [cs.AI]Catastrophe, Compounding & Consistency in Choice
    Chris Gagne, Peter Dayan
    http://arxiv.org/abs/2111.06804v1

    • [cs.AI]Conversational Recommendation: Theoretical Model and Complexity Analysis
    Tommaso Di Noia, Francesco Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo
    http://arxiv.org/abs/2111.05578v2

    • [cs.AI]DPLL(MAPF): an Integration of Multi-Agent Path Finding and SAT Solving Technologies
    Martin Čapek, Pavel Surynek
    http://arxiv.org/abs/2111.06494v1

    • [cs.AI]Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation
    Ryuji Imamura, Takuma Seno, Kenta Kawamoto, Michael Spranger
    http://arxiv.org/abs/2111.06449v1

    • [cs.AI]Explainability and the Fourth AI Revolution
    Loizos Michael
    http://arxiv.org/abs/2111.06773v1

    • [cs.AI]Multiway Storage Modification Machines
    J. -M. Chauvet
    http://arxiv.org/abs/2111.06757v1

    • [cs.AI]One model Packs Thousands of Items with Recurrent Conditional Query Learning
    Dongda Li, Zhaoquan Gu, Yuexuan Wang, Changwei Ren, Francis C. M. Lau
    http://arxiv.org/abs/2111.06726v1

    • [cs.AI]Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes
    Ling Cai, Krzysztof Janowic, Bo Yan, Rui Zhu, Gengchen Mai
    http://arxiv.org/abs/2111.06854v1

    • [cs.AI]Two steps to risk sensitivity
    Chris Gagne, Peter Dayan
    http://arxiv.org/abs/2111.06803v1

    • [cs.CL]AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization
    Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Haoran Li, Mona Diab
    http://arxiv.org/abs/2111.06474v1

    • [cs.CL]BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation
    Eleftheria Briakou, Sida I. Wang, Luke Zettlemoyer, Marjan Ghazvininejad
    http://arxiv.org/abs/2111.06787v1

    • [cs.CL]Deciphering Speech: a Zero-Resource Approach to Cross-Lingual Transfer in ASR
    Ondrej Klejch, Electra Wallington, Peter Bell
    http://arxiv.org/abs/2111.06799v1

    • [cs.CL]Extraction of Medication Names from Twitter Using Augmentation and an Ensemble of Language Models
    Igor Kulev, Berkay Köprü, Raul Rodriguez-Esteban, Diego Saldana, Yi Huang, Alessandro La Torraca, Elif Ozkirimli
    http://arxiv.org/abs/2111.06664v1

    • [cs.CL]On Transferability of Prompt Tuning for Natural Language Understanding
    Yusheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou
    http://arxiv.org/abs/2111.06719v1

    • [cs.CL]On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference
    Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel
    http://arxiv.org/abs/2111.06580v1

    • [cs.CL]PESTO: Switching Point based Dynamic and Relative Positional Encoding for Code-Mixed Languages
    Mohsin Ali, Kandukuri Sai Teja, Sumanth Manduru, Parth Patwa, Amitava Das
    http://arxiv.org/abs/2111.06599v1

    • [cs.CL]RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation
    Yu Zhang, Wei Wei, Binxuan Huang, Kathleen M. Carley, Yan Zhang
    http://arxiv.org/abs/2111.06515v1

    • [cs.CL]Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations
    Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md Shad Akhtar, Tanmoy Chakraborty
    http://arxiv.org/abs/2111.06647v1

    • [cs.CL]Speeding Up Entmax
    Maxat Tezekbayev, Vassilina Nikoulina, Matthias Gallé, Zhenisbek Assylbekov
    http://arxiv.org/abs/2111.06832v1

    • [cs.CL]SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets
    Ann Yuan, Daphne Ippolito, Vitaly Nikolaev, Chris Callison-Burch, Andy Coenen, Sebastian Gehrmann
    http://arxiv.org/abs/2111.06467v1

    • [cs.CL]Variation and generality in encoding of syntactic anomaly information in sentence embeddings
    Qinxuan Wu, Allyson Ettinger
    http://arxiv.org/abs/2111.06644v1

    • [cs.CR]A lightweight blockchain-based access control scheme for integrated edge computing in the internet of things
    Jie Zhang, Lingyun Yuan, Shanshan Xu
    http://arxiv.org/abs/2111.06544v1

    • [cs.CV]A comprehensive study of clustering a class of 2D shapes
    Agnieszka Kaliszewska, Monika Syga
    http://arxiv.org/abs/2111.06662v1

    • [cs.CV]AlphaRotate: A Rotation Detection Benchmark using TensorFlow
    Xue Yang, Yue Zhou, Junchi Yan
    http://arxiv.org/abs/2111.06677v1

    • [cs.CV]Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection
    Ashutosh Agarwal, Anay Majee, Anbumani Subramanian, Chetan Arora
    http://arxiv.org/abs/2111.06639v1

    • [cs.CV]Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
    Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Michael Psenka, Xiaojun Yuan, Heung Yeung Shum, Yi Ma
    http://arxiv.org/abs/2111.06636v1

    • [cs.CV]Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
    Liming Jiang, Bo Dai, Wayne Wu, Chen Change Loy
    http://arxiv.org/abs/2111.06849v1

    • [cs.CV]Diversity-Promoting Human Motion Interpolation via Conditional Variational Auto-Encoder
    Chunzhi Gu, Shuofeng Zhao, Chao Zhang
    http://arxiv.org/abs/2111.06762v1

    • [cs.CV]Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation
    John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak
    http://arxiv.org/abs/2111.06500v1

    • [cs.CV]Frequency learning for structured CNN filters with Gaussian fractional derivatives
    Nikhil Saldanha, Silvia L. Pintea, Jan C. van Gemert, Nergis Tomen
    http://arxiv.org/abs/2111.06660v1

    • [cs.CV]Identifying On-road Scenarios Predictive of ADHD usingDriving Simulator Time Series Data
    David Grethlein, Aleksanteri Sladek, Santiago Ontañón
    http://arxiv.org/abs/2111.06774v1

    • [cs.CV]Meta-Teacher For Face Anti-Spoofing
    Yunxiao Qin, Zitong Yu, Longbin Yan, Zezheng Wang, Chenxu Zhao, Zhen Lei
    http://arxiv.org/abs/2111.06638v1

    • [cs.CV]Monte Carlo dropout increases model repeatability
    Andreanne Lemay, Katharina Hoebel, Christopher P. Bridge, Didem Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer
    http://arxiv.org/abs/2111.06754v1

    • [cs.CV]Multimodal Virtual Point 3D Detection
    Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl
    http://arxiv.org/abs/2111.06881v1

    • [cs.CV]NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset
    Ashkan Ebadi, Patrick Paul, Sofia Auer, Stéphane Tremblay
    http://arxiv.org/abs/2111.06827v1

    • [cs.CV]Robust Analytics for Video-Based Gait Biometrics
    Ebenezer R. H. P. Isaac
    http://arxiv.org/abs/2111.06670v1

    • [cs.CV]Sci-Net: a Scale Invariant Model for Building Detection from Aerial Images
    Hasan Nasrallah, Ali J. Ghandour
    http://arxiv.org/abs/2111.06812v1

    • [cs.CV]Self-supervised GAN Detector
    Yonghyun Jeong, Doyeon Kim, Pyounggeon Kim, Youngmin Ro, Jongwon Choi
    http://arxiv.org/abs/2111.06575v1

    • [cs.CV]Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal Surveillance
    Mowen Xue, Theo Greenslade, Majid Mirmehdi, Tilo Burghardt
    http://arxiv.org/abs/2111.06830v1

    • [cs.CV]Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases
    Jan Bednarik, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua
    http://arxiv.org/abs/2111.06838v1

    • [cs.CV]The channel-spatial attention-based vision transformer network for automated, accurate prediction of crop nitrogen status from UAV imagery
    Xin Zhang, Liangxiu Han, Tam Sobeih, Lewis Lappin, Mark Lee, Andew Howard, Aron Kisdi
    http://arxiv.org/abs/2111.06839v1

    • [cs.CY]Accounting for carbon emissions caused by cryptocurrency and token systems
    Ulrich Gallersdörfer, Lena Klaaßen, Christian Stoll
    http://arxiv.org/abs/2111.06477v1

    • [cs.CY]Dataset of Philippine Presidents Speeches from 1935 to 2016
    John Paul P. Miranda
    http://arxiv.org/abs/2111.06649v1

    • [cs.CY]Satellite Images and Deep Learning to Identify Discrepancy in Mailing Addresses with Applications to Census 2020 in Houston
    Zhaozhuo Xu, Alan Baonan Ji, Andrew Woods, Beidi Chen, Anshumali Shrivastava
    http://arxiv.org/abs/2111.06562v1

    • [cs.CY]Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity
    Lin Chen, Fengli Xu, Zhenyu Han, Kun Tang, Pan Hui, James Evans, Yong Li
    http://arxiv.org/abs/2111.06689v1

    • [cs.DC]Molecular Dynamics Simulations on Cloud Computing and Machine Learning Platforms
    Prateek Sharma, Vikram Jadhao
    http://arxiv.org/abs/2111.06466v1

    • [cs.DC]Robust and Optimal Contention Resolution without Collision Detection
    Yonggang Jiang, Chaodong Zheng
    http://arxiv.org/abs/2111.06650v1

    • [cs.DC]Serverless Platforms on the Edge: A Performance Analysis
    Hamza Javed, Adel N. Toosi, Mohammad S. Aslanpour
    http://arxiv.org/abs/2111.06563v1

    • [cs.DS]Hierarchical Clustering: New Bounds and Objective
    Mirmahdi Rahgoshay, Mohammad R. Salavatipour
    http://arxiv.org/abs/2111.06863v1

    • [cs.GR]Neuromuscular Control of the Face-Head-Neck Biomechanical Complex With Learning-Based Expression Transfer From Images and Videos
    Xiao S. Zeng, Surya Dwarakanath, Wuyue Lu, Masaki Nakada, Demetri Terzopoulos
    http://arxiv.org/abs/2111.06517v1

    • [cs.HC]Understanding the Information Needs and Practices of Human Supporters of an Online Mental Health Intervention to Inform Machine Learning Applications
    Anja Thieme
    http://arxiv.org/abs/2111.06667v1

    • [cs.IT]A Direct Construction of Prime-Power-Length Zero-Correlation Zone Sequences for QS-CDMA System
    Nishant Kumar, Sudhan Majhi, Palash Sarkar, A. K. Upadhyay
    http://arxiv.org/abs/2111.06675v1

    • [cs.IT]A Reverse Jensen Inequality Result with Application to Mutual Information Estimation
    Gerhard Wunder, Benedikt Groß, Rick Fritschek, Rafael F. Schaefer
    http://arxiv.org/abs/2111.06676v1

    • [cs.IT]A Robust Deep Learning-Based Beamforming Design for RIS-assisted Multiuser MISO Communications with Practical Constraints
    Wangyang Xu, Lu Gan, Chongwen Huang
    http://arxiv.org/abs/2111.06555v1

    • [cs.IT]Generalized active information: extensions to unbounded domains
    Daniel Andrés Díaz-Pachón, Robert J. Marks II
    http://arxiv.org/abs/2111.06865v1

    • [cs.IT]On Effective Secrecy Throughput of Underlay Spectrum Sharing 今日学术视野(2021.11.16) - 图4-今日学术视野(2021.11.16) - 图5/ Málaga Hybrid Model under Interference-and-Transmit Power Constraints
    Md. Ibrahim, A. S. M. Badrudduza, Md. Shakhawat Hossen, M. K. Kundu, Imran Shafique Ansari
    http://arxiv.org/abs/2111.06574v1

    • [cs.IT]Queue Length Violation Probability of Joint Channel and Buffer Aware Transmission
    Lintao Li, Wei Chen, Khaled B. Letaief
    http://arxiv.org/abs/2111.06569v1

    • [cs.IT]SWIPT-Enabled Multiple Access Channel: Effects of Decoding Cost and Non-linear EH Model
    Pouria Nezhadmohammad, Mohsen Abedi, Mohammad Javad Emadi, Risto Wichman
    http://arxiv.org/abs/2111.06444v1

    • [cs.IT]The Distance Distribution between Mobile Node and Reference Node in Regular Hexagon
    Ziyan Zhu, Fei Tong
    http://arxiv.org/abs/2111.06553v1

    • [cs.IT]The complete weight enumerator of a subclass of optimal three-weight cyclic codes
    Gerardo Vega, Félix Hernández
    http://arxiv.org/abs/2111.06470v1

    • [cs.LG]A Minimax Learning Approach to Off-Policy Evaluation in Partially Observable Markov Decision Processes
    Chengchun Shi, Masatoshi Uehara, Nan Jiang
    http://arxiv.org/abs/2111.06784v1

    • [cs.LG]A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps
    Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat
    http://arxiv.org/abs/2111.06841v1

    • [cs.LG]ADCB: An Alzheimer’s disease benchmark for evaluating observational estimators of causal effects
    Newton Mwai Kinyanjui, Fredrik D. Johansson
    http://arxiv.org/abs/2111.06811v1

    • [cs.LG]AWD3: Dynamic Reduction of the Estimation Bias
    Dogan C. Cicek, Enes Duran, Baturay Saglam, Kagan Kaya, Furkan B. Mutlu, Suleyman S. Kozat
    http://arxiv.org/abs/2111.06780v1

    • [cs.LG]An Enhanced Adaptive Bi-clustering Algorithm through Building a Shielding Complex Sub-Matrix
    Kaijie Xu
    http://arxiv.org/abs/2111.06524v1

    • [cs.LG]Approximating Optimal Transport via Low-rank and Sparse Factorization
    Weijie Liu, Chao Zhang, Nenggan Zheng, Hui Qian
    http://arxiv.org/abs/2111.06546v1

    • [cs.LG]Automated question generation and question answering from Turkish texts using text-to-text transformers
    Fatih Cagatay Akyon, Devrim Cavusoglu, Cemil Cengiz, Sinan Onur Altinuc, Alptekin Temizel
    http://arxiv.org/abs/2111.06476v1

    • [cs.LG]BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML
    Yuhong Song, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Rui Xu, Yongzhuo Zhang, Bingzhe Li, Lei Yang
    http://arxiv.org/abs/2111.06686v1

    • [cs.LG]Bi-Discriminator Class-Conditional Tabular GAN
    Mohammad Esmaeilpour, Nourhene Chaalia, Adel Abusitta, Francois-Xavier Devailly, Wissem Maazoun, Patrick Cardinal
    http://arxiv.org/abs/2111.06549v1

    • [cs.LG]Can neural networks predict dynamics they have never seen?
    Anton Pershin, Cedric Beaume, Kuan Li, Steven M. Tobias
    http://arxiv.org/abs/2111.06783v1

    • [cs.LG]Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
    Łukasz Kuciński, Tomasz Korbak, Paweł Kołodziej, Piotr Miłoś
    http://arxiv.org/abs/2111.06464v1

    • [cs.LG]Causal Multi-Agent Reinforcement Learning: Review and Open Problems
    St John Grimbly, Jonathan Shock, Arnu Pretorius
    http://arxiv.org/abs/2111.06721v1

    • [cs.LG]Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care
    Steffen Gracla, Edgar Beck, Carsten Bockelmann, Armin Dekorsy
    http://arxiv.org/abs/2111.06680v1

    • [cs.LG]DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents
    Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma
    http://arxiv.org/abs/2111.06685v1

    • [cs.LG]Distributed Sparse Regression via Penalization
    Yao Ji, Gesualdo Scutari, Ying Sun, Harsha Honnappa
    http://arxiv.org/abs/2111.06530v1

    • [cs.LG]Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
    Waddah Saeed, Christian Omlin
    http://arxiv.org/abs/2111.06420v1

    • [cs.LG]Fair AutoML
    Qingyun Wu, Chi Wang
    http://arxiv.org/abs/2111.06495v1

    • [cs.LG]Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting
    Youngsuk Park, Danielle Maddix, François-Xavier Aubet, Kelvin Kan, Jan Gasthaus, Yuyang Wang
    http://arxiv.org/abs/2111.06581v1

    • [cs.LG]Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash
    Lukas Struppek, Dominik Hintersdorf, Daniel Neider, Kristian Kersting
    http://arxiv.org/abs/2111.06628v1

    • [cs.LG]Mobility prediction Based on Machine Learning Algorithms
    Donglin Wang, Qiuheng Zhou, Sanket Partani, Anjie Qiu, Hans D. Schotten
    http://arxiv.org/abs/2111.06723v1

    • [cs.LG]Monolithic Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment
    Matthew J. Filipovich, Zhimu Guo, Mohammed Al-Qadasi, Bicky A. Marquez, Hugh D. Morison, Volker J. Sorger, Paul R. Prucnal, Sudip Shekhar, Bhavin J. Shastri
    http://arxiv.org/abs/2111.06862v1

    • [cs.LG]Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs
    Raul Astudillo, Daniel R. Jiang, Maximilian Balandat, Eytan Bakshy, Peter I. Frazier
    http://arxiv.org/abs/2111.06537v1

    • [cs.LG]Nonlinear Tensor Ring Network
    Xiao Peng Li, Qi Liu, Hing Cheung So
    http://arxiv.org/abs/2111.06532v1

    • [cs.LG]Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks
    Sibo Cheng, Mingming Qiu
    http://arxiv.org/abs/2111.06447v1

    • [cs.LG]Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity
    Ali Devran Kara, Naci Saldi, Serdar Yüksel
    http://arxiv.org/abs/2111.06781v1

    • [cs.LG]Resilient Consensus-based Multi-agent Reinforcement Learning
    Martin Figura, Yixuan Lin, Ji Liu, Vijay Gupta
    http://arxiv.org/abs/2111.06776v1

    • [cs.LG]STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks
    Guannan Lou, Yuze Liu, Tiehua Zhang, Xi Zheng
    http://arxiv.org/abs/2111.06750v1

    • [cs.LG]Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs
    Hesham Mostafa
    http://arxiv.org/abs/2111.06483v1

    • [cs.LG]Variational Auto-Encoder Architectures that Excel at Causal Inference
    Negar Hassanpour, Russell Greiner
    http://arxiv.org/abs/2111.06486v1

    • [cs.LG]deepstruct — linking deep learning and graph theory
    Julian Stier, Michael Granitzer
    http://arxiv.org/abs/2111.06679v1

    • [cs.NE]A Spiking Neuron Synaptic Plasticity Model Optimized for Unsupervised Learning
    Mikhail Kiselev
    http://arxiv.org/abs/2111.06768v1

    • [cs.NE]Guided Sampling-based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis
    Arun K. Sharma, Nishchal K. Verma
    http://arxiv.org/abs/2111.06885v1

    • [cs.NI]A Review on Communication Protocols for Autonomous Unmanned Aerial Vehicles for Inspection Application
    Liping Shi, Néstor J. Hernández Marcano, Rune Hylsberg Jacobsen
    http://arxiv.org/abs/2111.06714v1

    • [cs.NI]FaaS Execution Models for Edge Applications
    Claudio Cicconetti, Marco Conti, Andrea Passarella
    http://arxiv.org/abs/2111.06595v1

    • [cs.RO]Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots
    Mihir Kulkarni, Mihir Dharmadhikari, Marco Tranzatto, Samuel Zimmermann, Victor Reijgwart, Paolo De Petris, Huan Nguyen, Nikhil Khedekar, Christos Papachristos, Lionel Ott, Roland Siegwart, Marco Hutter, Kostas Alexis
    http://arxiv.org/abs/2111.06482v1

    • [cs.RO]Neural Motion Planning for Autonomous Parking
    Dongchan Kim, Kunsoo Huh
    http://arxiv.org/abs/2111.06739v1

    • [cs.RO]Scalable Operator Allocation for Multi-Robot Assistance: A Restless Bandit Approach
    Abhinav Dahiya, Nima Akbarzadeh, Aditya Mahajan, Stephen L. Smith
    http://arxiv.org/abs/2111.06437v1

    • [cs.RO]Self-Reflective Terrain-Aware Robot Adaptation for Consistent Off-Road Ground Navigation
    Sriram Siva, Maggie Wigness, John G. Rogers, Long Quang, Hao Zhang
    http://arxiv.org/abs/2111.06742v1

    • [cs.RO]Towards Transferring Human Preferences from Canonical to Actual Assembly Tasks
    Heramb Nemlekar, Runyu Guan, Guanyang Luo, Satyandra K. Gupta, Stefanos Nikolaidis
    http://arxiv.org/abs/2111.06454v1

    • [cs.SD]A Convolutional Neural Network Based Approach to Recognize Bangla Spoken Digits from Speech Signal
    Ovishake Sen, Al-Mahmud, Pias Roy
    http://arxiv.org/abs/2111.06625v1

    • [cs.SD]Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization
    Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang
    http://arxiv.org/abs/2111.06531v1

    • [cs.SD]Fully Automatic Page Turning on Real Scores
    Florian Henkel, Stephanie Schwaiger, Gerhard Widmer
    http://arxiv.org/abs/2111.06643v1

    • [cs.SI]Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management
    Alexandre Parmentier, Robin Cohen, Xueguang Ma, Gaurav Sahu, Queenie Chen
    http://arxiv.org/abs/2111.06440v1

    • [eess.IV]Multiple Hypothesis Hypergraph Tracking for Posture Identification in Embryonic Caenorhabditis elegans
    Andrew Lauziere, Evan Ardiel, Stephen Xu, Hari Shroff
    http://arxiv.org/abs/2111.06425v1

    • [eess.IV]Transformer-based Image Compression
    Ming Lu, Peiyao Guo, Huiqing Shi, Chuntong Cao, Zhan Ma
    http://arxiv.org/abs/2111.06707v1

    • [eess.SP]A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection
    Akira Furui, Tomoyuki Akiyama, Toshio Tsuji
    http://arxiv.org/abs/2111.06526v1

    • [eess.SP]Unique Bispectrum Inversion for Signals with Finite Spectral/Temporal Support
    Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler
    http://arxiv.org/abs/2111.06479v1

    • [math.ST]Differential privacy and robust statistics in high dimensions
    Xiyang Liu, Weihao Kong, Sewoong Oh
    http://arxiv.org/abs/2111.06578v1

    • [math.ST]Higher-Order Coverage Errors of Batching Methods via Edgeworth Expansions on 今日学术视野(2021.11.16) - 图6-Statistics
    Shengyi He, Henry Lam
    http://arxiv.org/abs/2111.06859v1

    • [math.ST]Wasserstein convergence in Bayesian deconvolution models
    Judith Rousseau, Catia Scricciolo
    http://arxiv.org/abs/2111.06846v1

    • [physics.soc-ph]Refinement for community structures of bipartite networks
    Sang Hoon Lee
    http://arxiv.org/abs/2111.06521v1

    • [q-bio.BM]Benchmarking deep generative models for diverse antibody sequence design
    Igor Melnyk, Payel Das, Vijil Chenthamarakshan, Aurelie Lozano
    http://arxiv.org/abs/2111.06801v1

    • [q-bio.QM]Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2
    Matthias Griebel, Dennis Segebarth, Nikolai Stein, Nina Schukraft, Philip Tovote, Robert Blum, Christoph M. Flath
    http://arxiv.org/abs/2111.06693v1

    • [stat.AP]Employment in Tourism Industries: Are there Subsectors with a Potentially Higher Level of Income?
    Pablo Dorta-González, Sara M. González-Betancor
    http://arxiv.org/abs/2111.06633v1

    • [stat.AP]Joint Models for Cause-of-Death Mortality in Multiple Populations
    Nhan Huynh, Mike Ludkovski
    http://arxiv.org/abs/2111.06631v1

    • [stat.AP]Using Bayesian Network Analysis to Reveal Complex Natures of Relationships
    Panchika Lortaraprasert, Pongpak Manoret, Chanati Jantrachotechatchawan, Kobchai Duangrattanalert
    http://arxiv.org/abs/2111.06640v1

    • [stat.CO]Sampling from multimodal distributions using tempered Hamiltonian transitions
    Joonha Park
    http://arxiv.org/abs/2111.06871v1

    • [stat.ME]Dynamic treatment effects: high-dimensional inference under model misspecification
    Yuqian Zhang, Jelena Bradic, Weijie Ji
    http://arxiv.org/abs/2111.06818v1

    • [stat.ME]Epistasis Detection Via the Joint Cumulant
    Randall Reese, Guifang Fu, Geran Zhao, Xiaotian Dai, Xiaotian Li, Kenneth Chiu
    http://arxiv.org/abs/2111.06795v1

    • [stat.ME]G-optimal grid designs for kriging models
    Subhadra Dasgupta, Siuli Mukhopadhyay, Jonathan Keith
    http://arxiv.org/abs/2111.06632v1

    • [stat.ME]High-Dimensional Functional Mixed-effect Model for Bilevel Repeated Measurements
    Xiaotian Dai, Guifang Fu
    http://arxiv.org/abs/2111.06796v1

    • [stat.ME]Histograms lie about distribution shapes and Pearson’s coefficient of variation lies about variability
    Paulo S. P. Silveira, Jose O. Siqueira
    http://arxiv.org/abs/2111.06822v1

    • [stat.ME]Modelling stochastic time delay for regression analysis
    Juan Camilo Orduz, Aaron Pickering
    http://arxiv.org/abs/2111.06403v1

    • [stat.ME]Multi-task Learning for Compositional Data via Sparse Network Lasso
    Akira Okazaki, Shuichi Kawano
    http://arxiv.org/abs/2111.06617v1

    • [stat.ME]The expectation-maximization algorithm for autoregressive models with normal inverse Gaussian innovations
    Monika S. Dhull, Arun Kumar, Agnieszka Wylomanska
    http://arxiv.org/abs/2111.06565v1

    • [stat.ML]Convergence Rates for the MAP of an Exponential Family and Stochastic Mirror Descent — an Open Problem
    Rémi Le Priol, Frederik Kunstner, Damien Scieur, Simon Lacoste-Julien
    http://arxiv.org/abs/2111.06826v1

    • [stat.ML]Simplifying approach to Node Classification in Graph Neural Networks
    Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
    http://arxiv.org/abs/2111.06748v1