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 -/ 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 -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 -/ 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 -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