cond-mat.dis-nn - 无序系统与神经网络
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.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.DS - 数据结构与算法
cs.GT - 计算机科学与博弈论
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.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SY - 系统和控制
math.NA - 数值分析
math.PR - 概率
math.ST - 统计理论
physics.med-ph - 医学物理学
physics.soc-ph - 物理学与社会
q-bio.NC - 神经元与认知
q-bio.PE - 人口与发展
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cond-mat.dis-nn]Equivalence between algorithmic instability and transition to replica symmetry breaking in perceptron learning systems
• [cond-mat.dis-nn]Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization
• [cs.AI]A Novel Machine Learning Approach to Data Inconsistency with respect to a Fuzzy Relation
• [cs.AI]Asian Giant Hornet Control based on Image Processing and Biological Dispersal
• [cs.AI]Designing a Trusted Data Brokerage Framework in the Aviation Domain
• [cs.AI]Evacuation Shelter Scheduling Problem
• [cs.CL]A Rule-based/BPSO Approach to Produce Low-dimensional Semantic Basis Vectors Set
• [cs.CL]Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs
• [cs.CL]Ensembling of Distilled Models from Multi-task Teachers for Constrained Resource Language Pairs
• [cs.CL]Identification of Bias Against People with Disabilities in Sentiment Analysis and Toxicity Detection Models
• [cs.CL]KazNERD: Kazakh Named Entity Recognition Dataset
• [cs.CL]Near-Zero-Shot Suggestion Mining with a Little Help from WordNet
• [cs.CL]Predicting Document Coverage for Relation Extraction
• [cs.CL]Probabilistic Impact Score Generation using Ktrain-BERT to Identify Hate Words from Twitter Discussions
• [cs.CL]Simple Contrastive Representation Adversarial Learning for NLP Tasks
• [cs.CL]Temporal Effects on Pre-trained Models for Language Processing Tasks
• [cs.CL]True Few-Shot Learning with Prompts — A Real-World Perspective
• [cs.CL]TunBERT: Pretrained Contextualized Text Representation for Tunisian Dialect
• [cs.CR]COVID-19 vaccination certificates in the Darkweb
• [cs.CR]Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms
• [cs.CV]3D Pose Estimation and Future Motion Prediction from 2D Images
• [cs.CV]3D shape sensing and deep learning-based segmentation of strawberries
• [cs.CV]ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics
• [cs.CV]Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning
• [cs.CV]Contrastive Vicinal Space for Unsupervised Domain Adaptation
• [cs.CV]Data Augmented 3D Semantic Scene Completion with 2D Segmentation Priors
• [cs.CV]Data Invariants to Understand Unsupervised Out-of-Distribution Detection
• [cs.CV]FedDropoutAvg: Generalizable federated learning for histopathology image classification
• [cs.CV]GMFlow: Learning Optical Flow via Global Matching
• [cs.CV]GPR1200: A Benchmark for General-Purpose Content-Based Image Retrieval
• [cs.CV]GeoNeRF: Generalizing NeRF with Geometry Priors
• [cs.CV]Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction
• [cs.CV]Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting
• [cs.CV]How Well Do Sparse Imagenet Models Transfer?
• [cs.CV]Immortal Tracker: Tracklet Never Dies
• [cs.CV]In-painting Radiography Images for Unsupervised Anomaly Detection
• [cs.CV]Inside Out Visual Place Recognition
• [cs.CV]Joint stereo 3D object detection and implicit surface reconstruction
• [cs.CV]Less is More: Generating Grounded Navigation Instructions from Landmarks
• [cs.CV]Look at here : Utilizing supervision to attend subtle key regions
• [cs.CV]ManiFest: Manifold Deformation for Few-shot Image Translation
• [cs.CV]Mask Transfiner for High-Quality Instance Segmentation
• [cs.CV]Medial Spectral Coordinates for 3D Shape Analysis
• [cs.CV]Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators
• [cs.CV]Morphology Decoder: A Machine Learning Guided 3D Vision Quantifying Heterogenous Rock Permeability for Planetary Surveillance and Robotic Functions
• [cs.CV]NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images
• [cs.CV]NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes
• [cs.CV]Neural Collaborative Graph Machines for Table Structure Recognition
• [cs.CV]Neural Fields as Learnable Kernels for 3D Reconstruction
• [cs.CV]Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation
• [cs.CV]OTB-morph: One-Time Biometrics via Morphing applied to Face Templates
• [cs.CV]POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing
• [cs.CV]PicArrange — Visually Sort, Search, and Explore Private Images on a Mac Computer
• [cs.CV]Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model
• [cs.CV]QMagFace: Simple and Accurate Quality-Aware Face Recognition
• [cs.CV]Reinforcement Explanation Learning
• [cs.CV]Revisiting Efficient Object Detection Backbones from Zero-Shot Neural Architecture Search
• [cs.CV]SWAT: Spatial Structure Within and Among Tokens
• [cs.CV]Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
• [cs.CV]Self-supervised Pretraining with Classification Labels for Temporal Activity Detection
• [cs.CV]SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings
• [cs.CV]TDAN: Top-Down Attention Networks for Enhanced Feature Selectivity in CNNs
• [cs.CV]Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network
• [cs.CV]Towards Low-Cost and Efficient Malaria Detection
• [cs.CV]Traditional Chinese Synthetic Datasets Verified with Labeled Data for Scene Text Recognition
• [cs.CV]Using Fictitious Class Representations to Boost Discriminative Zero-Shot Learners
• [cs.CV]VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
• [cs.CY]A Proposal for Amending Privacy Regulations to Tackle the Challenges Stemming from Combining Data Sets
• [cs.CY]Academic Lobification: Low-performance Control Strategy for Long-planed Academic Purpose
• [cs.CY]Intelligent edge-based recommender system for internet of energy applications
• [cs.CY]Machines and Influence
• [cs.CY]Non-Asimov Explanations Regulating AI through Transparency
• [cs.CY]Uncovering the Dark Side of Telegram: Fakes, Clones, Scams, and Conspiracy Movements
• [cs.CY]When Creators Meet the Metaverse: A Survey on Computational Arts
• [cs.DB]A Taxonomy of Anomalies in Log Data
• [cs.DB]Bitemporal Property Graphs to Organize Evolving Systems
• [cs.DC]A Dense Tensor Accelerator with Data Exchange Mesh for DNN and Vision Workloads
• [cs.DC]A Trust and Reputation System for IoT Exploiting Distributed Ledger Technology
• [cs.DC]Influence of atomic FAA on ParallelFor and a cost model for improvements
• [cs.DC]Notebook-as-a-VRE (NaaVRE): from private notebooks to a collaborative cloud virtual research environment
• [cs.DC]STRETCH: Virtual Shared-Nothing Parallelism for Scalable and Elastic Stream Processing
• [cs.DS]Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exponential Mechanism
• [cs.GT]TSO-DSOs Stable Cost Allocation for the Joint Procurement of Flexibility: A Cooperative Game Approach
• [cs.IR]An Optimal Algorithm for Finding Champions in Tournament Graphs
• [cs.IR]Emotion Embedding Spaces for Matching Music to Stories
• [cs.IR]Evaluating the Robustness of Retrieval Pipelines with Query Variation Generators
• [cs.IR]Job Recommender Systems: A Review
• [cs.IR]Out-of-Category Document Identification Using Target-Category Names as Weak Supervision
• [cs.IR]ProLiVis: Protein-Protein Interaction Literature Visualization System
• [cs.IR]Recommending Multiple Positive Citations for Manuscript via Content-Dependent Modeling and Multi-Positive Triplet
• [cs.IR]Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions
• [cs.IR]Streamlining Evaluation with ir-measures
• [cs.IR]Unbiased Pairwise Learning to Rank in Recommender Systems
• [cs.IT]A Characterization of MDS Symbol-pair Codes over Two Types of Alphabets
• [cs.IT]A Sphere Packing Bound for Vector Gaussian Fading Channels under Peak Amplitude Constraints
• [cs.IT]Advantage of the key relay protocol over secure network coding
• [cs.IT]Asymptotic Average Mutual Information Over Finite Input Mixture Gamma Distributed Channels
• [cs.IT]Coverage Analysis for Satellite Downlink Networks
• [cs.IT]Double Intelligent Reflecting Surface-assisted Multi-User MIMO mmWave Systems with Hybrid Precoding
• [cs.IT]Hybrid Jammer Mitigation for All-Digital mmWave Massive MU-MIMO
• [cs.IT]Joint Wireless and Computing Resources Allocation in Multi-Cell MEC
• [cs.IT]MMSE Bound for MIMO Channel
• [cs.IT]Non-Convex Recovery from Phaseless Low-Resolution Blind Deconvolution Measurements using Noisy Masked Patterns
• [cs.IT]On the dimension and structure of the square of the dual of a Goppa code
• [cs.IT]RIS-aided D2D Communication Design for URLLC Packet Delivery
• [cs.IT]Structural Entropy of the Stochastic Block Models
• [cs.LG]NCA: Texture Generation with Ultra-Compact Neural Cellular Automata
• [cs.LG]A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles
• [cs.LG]A Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures with Gradient Learnings
• [cs.LG]A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park Operator
• [cs.LG]A multitask transfer learning framework for the prediction of virus-human protein-protein interactions
• [cs.LG]Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models
• [cs.LG]Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping
• [cs.LG]An Optimization Framework for Federated Edge Learning
• [cs.LG]Approximate Bayesian Computation for Physical Inverse Modeling
• [cs.LG]ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks
• [cs.LG]Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions
• [cs.LG]Conditional Image Generation with Score-Based Diffusion Models
• [cs.LG]Confounder Identification-free Causal Visual Feature Learning
• [cs.LG]DP-SEP! Differentially Private Stochastic Expectation Propagation
• [cs.LG]DP-SGD vs PATE: Which Has Less Disparate Impact on GANs?
• [cs.LG]ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine
• [cs.LG]Fairness for AUC via Feature Augmentation
• [cs.LG]Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey
• [cs.LG]Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network
• [cs.LG]Implicit Data-Driven Regularization in Deep Neural Networks under SGD
• [cs.LG]Joint inference and input optimization in equilibrium networks
• [cs.LG]Jointly Learning Agent and Lane Information for Multimodal Trajectory Prediction
• [cs.LG]KNAS: Green Neural Architecture Search
• [cs.LG]Latent Space Smoothing for Individually Fair Representations
• [cs.LG]Latent Space based Memory Replay for Continual Learning in Artificial Neural Networks
• [cs.LG]Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning
• [cs.LG]Learning Long-Term Reward Redistribution via Randomized Return Decomposition
• [cs.LG]Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning
• [cs.LG]Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
• [cs.LG]Random-reshuffled SARAH does not need a full gradient computations
• [cs.LG]Semi-supervised t-SNE for Millimeter-wave Wireless Localization
• [cs.LG]TRIP: Refining Image-to-Image Translation via Rival Preferences
• [cs.LG]Testability-Aware Low Power Controller Design with Evolutionary Learning
• [cs.LG]The Geometry of Adversarial Training in Binary Classification
• [cs.LG]Unsupervised Feature Ranking via Attribute Networks
• [cs.LG]Variational Gibbs inference for statistical model estimation from incomplete data
• [cs.NE]Deriving Smaller Orthogonal Arrays from Bigger Ones with Genetic Algorithm
• [cs.NE]Information Bottleneck-Based Hebbian Learning Rule Naturally Ties Working Memory and Synaptic Updates
• [cs.NE]On the Difficulty of Evolving Permutation Codes
• [cs.NE]Optimal Technical Indicator-based Trading Strategies Using NSGA-II
• [cs.RO]Learning to Search in Task and Motion Planning with Streams
• [cs.RO]Rapid and Reliable Trajectory Planning Involving Omnidirectional Jumping of Quadruped Robots
• [cs.RO]Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
• [cs.RO]StarNet: Joint Action-Space Prediction with Star Graphs and Implicit Global Frame Self-Attention
• [cs.RO]Toward an Idiomatic Framework for Cognitive Robotics
• [cs.RO]Unscented Kalman Filter for Long-Distance Vessel Tracking in Geodetic Coordinates
• [cs.SI]On the combination of graph data for assessing thin-file borrowers’ creditworthiness
• [cs.SI]Outlier Detection for Trajectories via Flow-embeddings
• [cs.SI]Quantification of network structural dissimilarities based on graph embedding
• [econ.EM]Network regression and supervised centrality estimation
• [eess.AS]Learning source-aware representations of music in a discrete latent space
• [eess.IV]Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory Requirements
• [eess.IV]Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Fusion Encoder: Application to Liver Tumor and Vessel 3D reconstruction
• [eess.SY]On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments
• [eess.SY]Teaching Undergraduate Students to Think Like Real-World Systems Engineers: A Technology-Based Hybrid Learning Approach
• [math.NA]A Spline Dimensional Decomposition for Uncertainty Quantification in High Dimensions
• [math.PR]On quadratic variations of the fractional-white wave equation
• [math.ST]High-dimensional inference via hybrid orthogonalization
• [math.ST]Optimal Estimation of Schatten Norms of a rectangular Matrix
• [math.ST]Simultaneous best linear invariant prediction of future order statistics for location-scale and scale families and associated optimality properties
• [math.ST]Tree density estimation
• [physics.med-ph]Deep Learning for Reaction-Diffusion Glioma Growth Modelling: Towards a Fully Personalised Model?
• [physics.soc-ph]Ranking by Momentum based on Pareto ordering of entities
• [physics.soc-ph]The evolution of honesty in higher-order social networks
• [q-bio.NC]A model of semantic completion in generative episodic memory
• [q-bio.PE]SPAGETI: Stabilizing Phylogenetic Assessment with Gene Evolutionary Tree Indices
• [stat.AP]Ambivalent and Consistent Relationships: The Role of Personal Networks in Cases of Domestic Violence
• [stat.AP]Cleaning the covariance matrix of strongly nonstationary systems with time-independent eigenvalues
• [stat.AP]Comparison of annual maximum series and flood-type-differentiated mixture models of partial duration series
• [stat.AP]Continuous-time Markov chain as a generic trait-based evolutionary model
• [stat.AP]Nonstationary Spatial Modeling of Massive Global Satellite Data
• [stat.AP]Using Machine Learning to Predict Poverty Status in Costa Rican Households
• [stat.ME]A Differentially Private Bayesian Approach to Replication Analysis
• [stat.ME]A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment
• [stat.ME]A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors
• [stat.ME]A framework for meta-analysis through standardized survival curves
• [stat.ME]An Augmented Likelihood Approach for the Discrete Proportional Hazards Model Using Auxiliary and Validated Outcome Data — with Application to HCHS/SOL Study
• [stat.ME]Biased-sample empirical likelihood weighting: an alternative to inverse probability weighting
• [stat.ME]Correcting the Laplace Method with Variational Bayes
• [stat.ME]Hidden Markov Models for Longitudinal Rating Data with Dynamic Response Styles
• [stat.ME]Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator
• [stat.ML]Conditional Manifold Learning
• [stat.ML]Generalizing Clinical Trials with Convex Hulls
• [stat.ML]Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features
·····································
• [cond-mat.dis-nn]Equivalence between algorithmic instability and transition to replica symmetry breaking in perceptron learning systems
Yang Zhao, Junbin Qiu, Mingshan Xie, Haiping Huang
http://arxiv.org/abs/2111.13302v1
• [cond-mat.dis-nn]Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization
Masoud Mohseni, Daniel Eppens, Johan Strumpfer, Raffaele Marino, Vasil Denchev, Alan K. Ho, Sergei V. Isakov, Sergio Boixo, Federico Ricci-Tersenghi, Hartmut Neven
http://arxiv.org/abs/2111.13628v1
• [cs.AI]A Novel Machine Learning Approach to Data Inconsistency with respect to a Fuzzy Relation
Marko Palangetić, Chris Cornelis, Salvatore Greco, Roman Słowiński
http://arxiv.org/abs/2111.13447v1
• [cs.AI]Asian Giant Hornet Control based on Image Processing and Biological Dispersal
Changjie Lu, Shen Zheng, Hailu Qiu
http://arxiv.org/abs/2111.13562v1
• [cs.AI]Designing a Trusted Data Brokerage Framework in the Aviation Domain
Evmorfia Biliri, Minas Pertselakis, Marios Phinikettos, Marios Zacharias, Fenareti Lampathaki, Dimitrios Alexandrou
http://arxiv.org/abs/2111.13271v1
• [cs.AI]Evacuation Shelter Scheduling Problem
Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto
http://arxiv.org/abs/2111.13326v1
• [cs.CL]A Rule-based/BPSO Approach to Produce Low-dimensional Semantic Basis Vectors Set
Atefe Pakzad, Morteza Analoui
http://arxiv.org/abs/2111.12802v1
• [cs.CL]Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs
Peter Hase, Mona Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer
http://arxiv.org/abs/2111.13654v1
• [cs.CL]Ensembling of Distilled Models from Multi-task Teachers for Constrained Resource Language Pairs
Amr Hendy, Esraa A. Gad, Mohamed Abdelghaffar, Jailan S. ElMosalami, Mohamed Afify, Ahmed Y. Tawfik, Hany Hassan Awadalla
http://arxiv.org/abs/2111.13284v1
• [cs.CL]Identification of Bias Against People with Disabilities in Sentiment Analysis and Toxicity Detection Models
Pranav Narayanan Venkit, Shomir Wilson
http://arxiv.org/abs/2111.13259v1
• [cs.CL]KazNERD: Kazakh Named Entity Recognition Dataset
Rustem Yeshpanov, Yerbolat Khassanov, Huseyin Atakan Varol
http://arxiv.org/abs/2111.13419v1
• [cs.CL]Near-Zero-Shot Suggestion Mining with a Little Help from WordNet
Anton Alekseev, Elena Tutubalina, Sejeong Kwon, Sergey Nikolenko
http://arxiv.org/abs/2111.12956v1
• [cs.CL]Predicting Document Coverage for Relation Extraction
Sneha Singhania, Simon Razniewski, Gerhard Weikum
http://arxiv.org/abs/2111.13611v1
• [cs.CL]Probabilistic Impact Score Generation using Ktrain-BERT to Identify Hate Words from Twitter Discussions
Sourav Das, Prasanta Mandal, Sanjay Chatterji
http://arxiv.org/abs/2111.12939v1
• [cs.CL]Simple Contrastive Representation Adversarial Learning for NLP Tasks
Deshui Miao, Jiaqi Zhang, Wenbo Xie, Jian Song, Xin Li, Lijuan Jia, Ning Guo
http://arxiv.org/abs/2111.13301v1
• [cs.CL]Temporal Effects on Pre-trained Models for Language Processing Tasks
Oshin Agarwal, Ani Nenkova
http://arxiv.org/abs/2111.12790v1
• [cs.CL]True Few-Shot Learning with Prompts — A Real-World Perspective
Timo Schick, Hinrich Schütze
http://arxiv.org/abs/2111.13440v1
• [cs.CL]TunBERT: Pretrained Contextualized Text Representation for Tunisian Dialect
Abir Messaoudi, Ahmed Cheikhrouhou, Hatem Haddad, Nourchene Ferchichi, Moez BenHajhmida, Abir Korched, Malek Naski, Faten Ghriss, Amine Kerkeni
http://arxiv.org/abs/2111.13138v1
• [cs.CR]COVID-19 vaccination certificates in the Darkweb
Dimitrios Georgoulias, Jens Myrup Pedersen, Morten Falch, Emmanouil Vasilomanolakis
http://arxiv.org/abs/2111.12472v2
• [cs.CR]Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms
Liyan Chang, Paula Branco
http://arxiv.org/abs/2111.13597v1
• [cs.CV]3D Pose Estimation and Future Motion Prediction from 2D Images
Ji Yang, Youdong Ma, Xinxin Zuo, Sen Wang, Minglun Gong, Li Cheng
http://arxiv.org/abs/2111.13285v1
• [cs.CV]3D shape sensing and deep learning-based segmentation of strawberries
Justin Le Louëdec, Grzegorz Cielniak
http://arxiv.org/abs/2111.13663v1
• [cs.CV]ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics
Aiham Taleb, Matthias Kirchler, Remo Monti, Christoph Lippert
http://arxiv.org/abs/2111.13424v1
• [cs.CV]Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning
Chenhongyi Yang, Lichao Huang, Elliot J. Crowley
http://arxiv.org/abs/2111.13651v1
• [cs.CV]Contrastive Vicinal Space for Unsupervised Domain Adaptation
Jaemin Na, Dongyoon Han, Hyung Jin Chang, Wonjun Hwang
http://arxiv.org/abs/2111.13353v1
• [cs.CV]Data Augmented 3D Semantic Scene Completion with 2D Segmentation Priors
Aloisio Dourado, Frederico Guth, Teofilo de Campos
http://arxiv.org/abs/2111.13309v1
• [cs.CV]Data Invariants to Understand Unsupervised Out-of-Distribution Detection
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
http://arxiv.org/abs/2111.13362v1
• [cs.CV]FedDropoutAvg: Generalizable federated learning for histopathology image classification
Gozde N. Gunesli, Mohsin Bilal, Shan E Ahmed Raza, Nasir M. Rajpoot
http://arxiv.org/abs/2111.13230v1
• [cs.CV]GMFlow: Learning Optical Flow via Global Matching
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Dacheng Tao
http://arxiv.org/abs/2111.13680v1
• [cs.CV]GPR1200: A Benchmark for General-Purpose Content-Based Image Retrieval
Konstantin Schall, Kai Uwe Barthel, Nico Hezel, Klaus Jung
http://arxiv.org/abs/2111.13122v1
• [cs.CV]GeoNeRF: Generalizing NeRF with Geometry Priors
Mohammad Mahdi Johari, Yann Lepoittevin, François Fleuret
http://arxiv.org/abs/2111.13539v1
• [cs.CV]Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction
Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers
http://arxiv.org/abs/2111.13652v1
• [cs.CV]Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting
Qifan Xue, Shengyi Li, Xuanpeng Li, Jingwen Zhao, Weigong Zhang
http://arxiv.org/abs/2111.13324v1
• [cs.CV]How Well Do Sparse Imagenet Models Transfer?
Eugenia Iofinova, Alexandra Peste, Mark Kurtz, Dan Alistarh
http://arxiv.org/abs/2111.13445v1
• [cs.CV]Immortal Tracker: Tracklet Never Dies
Qitai Wang, Yuntao Chen, Ziqi Pang, Naiyan Wang, Zhaoxiang Zhang
http://arxiv.org/abs/2111.13672v1
• [cs.CV]In-painting Radiography Images for Unsupervised Anomaly Detection
Tiange Xiang, Yongyi Liu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou
http://arxiv.org/abs/2111.13495v1
• [cs.CV]Inside Out Visual Place Recognition
Sarah Ibrahimi, Nanne van Noord, Tim Alpherts, Marcel Worring
http://arxiv.org/abs/2111.13546v1
• [cs.CV]Joint stereo 3D object detection and implicit surface reconstruction
Shichao Li, Kwang-Ting Cheng
http://arxiv.org/abs/2111.12924v1
• [cs.CV]Less is More: Generating Grounded Navigation Instructions from Landmarks
Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson
http://arxiv.org/abs/2111.12872v1
• [cs.CV]Look at here : Utilizing supervision to attend subtle key regions
Changhwan Lee, Yeesuk Kim, Bong Gun Lee, Doosup Kim, Jongseong Jang
http://arxiv.org/abs/2111.13233v1
• [cs.CV]ManiFest: Manifold Deformation for Few-shot Image Translation
Fabio Pizzati, Jean-François Lalonde, Raoul de Charette
http://arxiv.org/abs/2111.13681v1
• [cs.CV]Mask Transfiner for High-Quality Instance Segmentation
Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
http://arxiv.org/abs/2111.13673v1
• [cs.CV]Medial Spectral Coordinates for 3D Shape Analysis
Morteza Rezanejad, Mohammad Khodadad, Hamidreza Mahyar, Herve Lombaert, Michael Gruninger, Dirk B. Walther, Kaleem Siddiqi
http://arxiv.org/abs/2111.13295v1
• [cs.CV]Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators
Liao Zehui, Hu Shishuai, Xie Yutong, Xia Yong
http://arxiv.org/abs/2111.13410v1
• [cs.CV]Morphology Decoder: A Machine Learning Guided 3D Vision Quantifying Heterogenous Rock Permeability for Planetary Surveillance and Robotic Functions
Omar Alfarisi, Aikifa Raza, Djamel Ouzzane, Hongxia Li, Mohamed Sassi, Tiejun Zhang
http://arxiv.org/abs/2111.13460v1
• [cs.CV]NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images
Ben Mildenhall, Peter Hedman, Ricardo Martin-Brualla, Pratul Srinivasan, Jonathan T. Barron
http://arxiv.org/abs/2111.13679v1
• [cs.CV]NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes
Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth
http://arxiv.org/abs/2111.13260v1
• [cs.CV]Neural Collaborative Graph Machines for Table Structure Recognition
Hao Liu, Xin Li, Bing Liu, Deqiang Jiang, Yinsong Liu, Bo Ren
http://arxiv.org/abs/2111.13359v1
• [cs.CV]Neural Fields as Learnable Kernels for 3D Reconstruction
Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany
http://arxiv.org/abs/2111.13674v1
• [cs.CV]Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation
Arushi Goel, Basura Fernando, Frank Keller, Hakan Bilen
http://arxiv.org/abs/2111.13517v1
• [cs.CV]OTB-morph: One-Time Biometrics via Morphing applied to Face Templates
Mahdi Ghafourian, Julian Fierrez, Ruben Vera-Rodriguez, Ignacio Serna, Aythami Morales
http://arxiv.org/abs/2111.13213v1
• [cs.CV]POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing
Sheng Xu, Yanjing Li, Junhe Zhao, Baochang Zhang, Guodong Guo
http://arxiv.org/abs/2111.13386v1
• [cs.CV]PicArrange — Visually Sort, Search, and Explore Private Images on a Mac Computer
Klaus Jung, Kai Uwe Barthel, Nico Hezel, Konstantin Schall
http://arxiv.org/abs/2111.13363v1
• [cs.CV]Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model
Zipeng Xu, Tianwei Lin, Hao Tang, Fu Li, Dongliang He, Nicu Sebe, Radu Timofte, Luc Van Gool, Errui Ding
http://arxiv.org/abs/2111.13333v1
• [cs.CV]QMagFace: Simple and Accurate Quality-Aware Face Recognition
Philipp Terhörst, Malte Ihlefeld, Marco Huber, Naser Damer, Florian Kirchbuchner, Kiran Raja, Arjan Kuijper
http://arxiv.org/abs/2111.13475v1
• [cs.CV]Reinforcement Explanation Learning
Siddhant Agarwal, Owais Iqbal, Sree Aditya Buridi, Madda Manjusha, Abir Das
http://arxiv.org/abs/2111.13406v1
• [cs.CV]Revisiting Efficient Object Detection Backbones from Zero-Shot Neural Architecture Search
Zhenhong Sun, Ming Lin, Xiuyu Sun, Zhiyu Tan, Rong Jin
http://arxiv.org/abs/2111.13336v1
• [cs.CV]SWAT: Spatial Structure Within and Among Tokens
Kumara Kahatapitiya, Michael S. Ryoo
http://arxiv.org/abs/2111.13677v1
• [cs.CV]Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Tom Funkhouser, Andrea Tagliasacchi
http://arxiv.org/abs/2111.13152v1
• [cs.CV]Self-supervised Pretraining with Classification Labels for Temporal Activity Detection
Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo
http://arxiv.org/abs/2111.13675v1
• [cs.CV]SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings
Rasmus Laurvig Haugaard, Anders Glent Buch
http://arxiv.org/abs/2111.13489v1
• [cs.CV]TDAN: Top-Down Attention Networks for Enhanced Feature Selectivity in CNNs
Shantanu Jaiswal, Basura Fernando, Cheston Tan
http://arxiv.org/abs/2111.13470v1
• [cs.CV]Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network
Esther Dietrich, Patrick Fuhlert, Anne Ernst, Guido Sauter, Maximilian Lennartz, H. Siegfried Stiehl, Marina Zimmermann, Stefan Bonn
http://arxiv.org/abs/2111.13439v1
• [cs.CV]Towards Low-Cost and Efficient Malaria Detection
Waqas Sultani1, Wajahat Nawaz, Syed Javed, Muhammad Sohail Danish, Asma Saadia, Mohsen Ali
http://arxiv.org/abs/2111.13656v1
• [cs.CV]Traditional Chinese Synthetic Datasets Verified with Labeled Data for Scene Text Recognition
Yi-Chang Chen, Yu-Chuan Chang, Yen-Cheng Chang, Yi-Ren Yeh
http://arxiv.org/abs/2111.13327v1
• [cs.CV]Using Fictitious Class Representations to Boost Discriminative Zero-Shot Learners
Mohammed Dabbah, Ran El-yaniv
http://arxiv.org/abs/2111.13550v1
• [cs.CV]VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
Changyao Tian, Wenhai Wang, Xizhou Zhu, Xiaogang Wang, Jifeng Dai, Yu Qiao
http://arxiv.org/abs/2111.13579v1
• [cs.CY]A Proposal for Amending Privacy Regulations to Tackle the Challenges Stemming from Combining Data Sets
Gábor Erdélyi, Olivia J. Erdélyi, Andreas W. Kempa-Liehr
http://arxiv.org/abs/2111.13304v1
• [cs.CY]Academic Lobification: Low-performance Control Strategy for Long-planed Academic Purpose
Shudong Yang
http://arxiv.org/abs/2111.13590v1
• [cs.CY]Intelligent edge-based recommender system for internet of energy applications
Aya Sayed, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira
http://arxiv.org/abs/2111.13272v1
• [cs.CY]Machines and Influence
Shashank Yadav
http://arxiv.org/abs/2111.13365v1
• [cs.CY]Non-Asimov Explanations Regulating AI through Transparency
Chris Reed, Keri Grieman, Joseph Early
http://arxiv.org/abs/2111.13041v1
• [cs.CY]Uncovering the Dark Side of Telegram: Fakes, Clones, Scams, and Conspiracy Movements
Massimo La Morgia, Alessandro Mei, Alberto Maria Mongardini, Jie Wu
http://arxiv.org/abs/2111.13530v1
• [cs.CY]When Creators Meet the Metaverse: A Survey on Computational Arts
Lik-Hang Lee, Zijun Lin, Rui Hu, Zhengya Gong, Abhishek Kumar, Tangyao Li, Sijia Li, Pan Hui
http://arxiv.org/abs/2111.13486v1
• [cs.DB]A Taxonomy of Anomalies in Log Data
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Odej Kao
http://arxiv.org/abs/2111.13462v1
• [cs.DB]Bitemporal Property Graphs to Organize Evolving Systems
Christopher Rost, Philip Fritzsche, Lucas Schons, Maximilian Zimmer, Dieter Gawlick, Erhard Rahm
http://arxiv.org/abs/2111.13499v1
• [cs.DC]A Dense Tensor Accelerator with Data Exchange Mesh for DNN and Vision Workloads
Yu-Sheng Lin, Wei-Chao Chen. Chia-Lin Yang, Shao-Yi Chien
http://arxiv.org/abs/2111.12885v1
• [cs.DC]A Trust and Reputation System for IoT Exploiting Distributed Ledger Technology
Seyed Amid Moeinzadeh Mirhosseini, Ali Fanian, T. Aaron Gulliver
http://arxiv.org/abs/2111.13500v1
• [cs.DC]Influence of atomic FAA on ParallelFor and a cost model for improvements
Ran Shuai
http://arxiv.org/abs/2111.13291v1
• [cs.DC]Notebook-as-a-VRE (NaaVRE): from private notebooks to a collaborative cloud virtual research environment
Zhiming Zhao, Spiros Koulouzis, Riccardo Bianchi, Siamak Farshidi, Zeshun Shi, Ruyue Xin, Yuandou Wang, Na Li, Yifang Shi, Joris Timmermans, W. Daniel Kissling
http://arxiv.org/abs/2111.12785v1
• [cs.DC]STRETCH: Virtual Shared-Nothing Parallelism for Scalable and Elastic Stream Processing
Vincenzo Gulisano, Hannaneh Najdataei, Yiannis Nikolakopoulos, Alessandro V. Papadopoulos, Marina Papatriantafilou, Philippas Tsigas
http://arxiv.org/abs/2111.13058v1
• [cs.DS]Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exponential Mechanism
Samuel B. Hopkins, Gautam Kamath, Mahbod Majid
http://arxiv.org/abs/2111.12981v1
• [cs.GT]TSO-DSOs Stable Cost Allocation for the Joint Procurement of Flexibility: A Cooperative Game Approach
Anibal Sanjab, Hélène Le Cadre, Yuting Mou
http://arxiv.org/abs/2111.12830v1
• [cs.IR]An Optimal Algorithm for Finding Champions in Tournament Graphs
Lorenzo Beretta, Franco Maria Nardini, Roberto Trani, Rossano Venturini
http://arxiv.org/abs/2111.13621v1
• [cs.IR]Emotion Embedding Spaces for Matching Music to Stories
Minz Won, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore, Xavier Serra
http://arxiv.org/abs/2111.13468v1
• [cs.IR]Evaluating the Robustness of Retrieval Pipelines with Query Variation Generators
Gustavo Penha, Arthur Barbosa Câmara, Claudia Hauff
http://arxiv.org/abs/2111.13057v1
• [cs.IR]Job Recommender Systems: A Review
Corné de Ruijt, Sandjai Bhulai
http://arxiv.org/abs/2111.13576v1
• [cs.IR]Out-of-Category Document Identification Using Target-Category Names as Weak Supervision
Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu
http://arxiv.org/abs/2111.12796v1
• [cs.IR]ProLiVis: Protein-Protein Interaction Literature Visualization System
Melih Sozdinler
http://arxiv.org/abs/2111.12794v1
• [cs.IR]Recommending Multiple Positive Citations for Manuscript via Content-Dependent Modeling and Multi-Positive Triplet
Yang Zhang, Qiang Ma
http://arxiv.org/abs/2111.12899v1
• [cs.IR]Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions
Ivica Kostric, Krisztian Balog, Filip Radlinski
http://arxiv.org/abs/2111.13463v1
• [cs.IR]Streamlining Evaluation with ir-measures
Sean MacAvaney, Craig Macdonald, Iadh Ounis
http://arxiv.org/abs/2111.13466v1
• [cs.IR]Unbiased Pairwise Learning to Rank in Recommender Systems
Yi Ren, Hongyan Tang, Siwen Zhu
http://arxiv.org/abs/2111.12929v1
• [cs.IT]A Characterization of MDS Symbol-pair Codes over Two Types of Alphabets
Xilin Tang, Weixian Li, Wei Zhao
http://arxiv.org/abs/2111.12946v1
• [cs.IT]A Sphere Packing Bound for Vector Gaussian Fading Channels under Peak Amplitude Constraints
Antonino Favano, Marco Ferrari, Maurizio Magarini, Luca Barletta
http://arxiv.org/abs/2111.13179v1
• [cs.IT]Advantage of the key relay protocol over secure network coding
Go Kato, Mikio Fujiwara, Toyohiro Tsurumaru
http://arxiv.org/abs/2111.13328v1
• [cs.IT]Asymptotic Average Mutual Information Over Finite Input Mixture Gamma Distributed Channels
Chongjun Ouyang, Sheng Wu, Chunxiao Jiang, Yuanwei Liu, Julian Cheng, Hongwen Yang
http://arxiv.org/abs/2111.12822v1
• [cs.IT]Coverage Analysis for Satellite Downlink Networks
Jeonghun Park, Jinseok Choi, Namyoon Lee
http://arxiv.org/abs/2111.12851v1
• [cs.IT]Double Intelligent Reflecting Surface-assisted Multi-User MIMO mmWave Systems with Hybrid Precoding
Hehao Niu, Zheng Chu, Fuhui Zhou, Cunhua Pan, Derrick Wing Kwan Ng, Huan X. Nguyen
http://arxiv.org/abs/2111.13518v1
• [cs.IT]Hybrid Jammer Mitigation for All-Digital mmWave Massive MU-MIMO
Gian Marti, Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi, Tom Goldstein, Christoph Studer
http://arxiv.org/abs/2111.13055v1
• [cs.IT]Joint Wireless and Computing Resources Allocation in Multi-Cell MEC
M. Zeng
http://arxiv.org/abs/2111.13608v1
• [cs.IT]MMSE Bound for MIMO Channel
Chongjun Ouyang, Hongwen Yang
http://arxiv.org/abs//abs/2111.12819v1
• [cs.IT]Non-Convex Recovery from Phaseless Low-Resolution Blind Deconvolution Measurements using Noisy Masked Patterns
Samuel Pinilla, Kumar Vijay Mishra, Brian Sadler
http://arxiv.org/abs/2111.13670v1
• [cs.IT]On the dimension and structure of the square of the dual of a Goppa code
Rocco Mora, Jean-Pierre Tillich
http://arxiv.org/abs/2111.13038v1
• [cs.IT]RIS-aided D2D Communication Design for URLLC Packet Delivery
Jing Cheng, Chao Shen, Zheng Chen, Nikolaos Pappas
http://arxiv.org/abs/2111.13421v1
• [cs.IT]Structural Entropy of the Stochastic Block Models
Jia Han, Tao Guo, Qiaoqiao Zhou, Wei Han, Bo Bai, Gong Zhang
http://arxiv.org/abs/2111.12871v1
• [cs.LG]NCA: Texture Generation with Ultra-Compact Neural Cellular Automata
Alexander Mordvintsev, Eyvind Niklasson
http://arxiv.org/abs/2111.13545v1
• [cs.LG]A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles
Ayman Moawad, Krishna Murthy Gurumurthy, Omer Verbas, Zhijian Li, Ehsan Islam, Vincent Freyermuth, Aymeric Rousseau
http://arxiv.org/abs/2111.12861v1
• [cs.LG]A Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures with Gradient Learnings
Ivo Bukovsky, Gejza Dohnal, Peter M. Benes, Kei Ichiji, Noriyasu Homma
http://arxiv.org/abs/2111.12877v1
• [cs.LG]A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park Operator
Malte Lehna, Björn Hoppmann, René Heinrich, Christoph Scholz
http://arxiv.org/abs/2111.13609v1
• [cs.LG]A multitask transfer learning framework for the prediction of virus-human protein-protein interactions
Thi Ngan Dong, Graham Brogden, Gisa Gerold, Megha Khosla
http://arxiv.org/abs/2111.13346v1
• [cs.LG]Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models
David Nigenda, Zohar Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi
http://arxiv.org/abs/2111.13657v1
• [cs.LG]Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping
Matthieu Herrmann, Geoffrey I. Webb
http://arxiv.org/abs/2111.13314v1
• [cs.LG]An Optimization Framework for Federated Edge Learning
Yangchen Li, Ying Cui, Vincent Lau
http://arxiv.org/abs/2111.13526v1
• [cs.LG]Approximate Bayesian Computation for Physical Inverse Modeling
Neel Chatterjee, Somya Sharma, Sarah Swisher, Snigdhansu Chatterjee
http://arxiv.org/abs/2111.13296v1
• [cs.LG]ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks
Hua Qi, Zhijie Wang, Qing Guo, Jianlang Chen, Felix Juefei-Xu, Lei Ma, Jianjun Zhao
http://arxiv.org/abs/2111.13330v1
• [cs.LG]Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions
Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh
http://arxiv.org/abs/2111.13311v1
• [cs.LG]Conditional Image Generation with Score-Based Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
http://arxiv.org/abs/2111.13606v1
• [cs.LG]Confounder Identification-free Causal Visual Feature Learning
Xin Li, Zhizheng Zhang, Guoqiang Wei, Cuiling Lan, Wenjun Zeng, Xin Jin, Zhibo Chen
http://arxiv.org/abs/2111.13420v1
• [cs.LG]DP-SEP! Differentially Private Stochastic Expectation Propagation
Margarita Vinaroz, Mijung Park
http://arxiv.org/abs/2111.13219v1
• [cs.LG]DP-SGD vs PATE: Which Has Less Disparate Impact on GANs?
Georgi Ganev
http://arxiv.org/abs/2111.13617v1
• [cs.LG]ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine
Ilker Demirel, Ahmet Alparslan Celik, Cem Tekin
http://arxiv.org/abs/2111.13415v1
• [cs.LG]Fairness for AUC via Feature Augmentation
Hortense Fong, Vineet Kumar, Anay Mehrotra, Nisheeth K. Vishnoi
http://arxiv.org/abs/2111.12823v1
• [cs.LG]Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
http://arxiv.org/abs/2111.13282v1
• [cs.LG]Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network
Maysam Behmanesh, Peyman Adibi, Mohammad Saeed Ehsani, Jocelyn Chanussot
http://arxiv.org/abs/2111.13361v1
• [cs.LG]Implicit Data-Driven Regularization in Deep Neural Networks under SGD
Xuran Meng, Jianfeng Yao
http://arxiv.org/abs/2111.13331v1
• [cs.LG]Joint inference and input optimization in equilibrium networks
Swaminathan Gurumurthy, Shaojie Bai, Zachary Manchester, J. Zico Kolter
http://arxiv.org/abs/2111.13236v1
• [cs.LG]Jointly Learning Agent and Lane Information for Multimodal Trajectory Prediction
Jie Wang, Caili Guo, Minan Guo, Jiujiu Chen
http://arxiv.org/abs/2111.13350v1
• [cs.LG]KNAS: Green Neural Architecture Search
Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang
http://arxiv.org/abs/2111.13293v1
• [cs.LG]Latent Space Smoothing for Individually Fair Representations
Momchil Peychev, Anian Ruoss, Mislav Balunović, Maximilian Baader, Martin Vechev
http://arxiv.org/abs/2111.13650v1
• [cs.LG]Latent Space based Memory Replay for Continual Learning in Artificial Neural Networks
Haitz Sáez de Ocáriz Borde
http://arxiv.org/abs/2111.13297v1
• [cs.LG]Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning
Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Wenchao Sun, Jianyu Chen
http://arxiv.org/abs/2111.12953v1
• [cs.LG]Learning Long-Term Reward Redistribution via Randomized Return Decomposition
Zhizhou Ren, Ruihan Guo, Yuan Zhou, Jian Peng
http://arxiv.org/abs/2111.13485v1
• [cs.LG]Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning
Phillip Swazinna, Steffen Udluft, Thomas Runkler
http://arxiv.org/abs/2111.13461v1
• [cs.LG]Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado, Fernando E. Casado, Roberto Iglesias, Carlos V. Regueiro, Senén Barro
http://arxiv.org/abs/2111.13394v1
• [cs.LG]Random-reshuffled SARAH does not need a full gradient computations
Aleksandr Beznosikov, Martin Takáč
http://arxiv.org/abs/2111.13322v1
• [cs.LG]Semi-supervised t-SNE for Millimeter-wave Wireless Localization
Junquan Deng, Wei Shi, Jian Hu, Xianlong Jiao
http://arxiv.org/abs/2111.13573v1
• [cs.LG]TRIP: Refining Image-to-Image Translation via Rival Preferences
Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao
http://arxiv.org/abs/2111.13411v1
• [cs.LG]Testability-Aware Low Power Controller Design with Evolutionary Learning
Min Li, Zhengyuan Shi, Zezhong Wang, Weiwei Zhang, Yu Huang, Qiang Xu
http://arxiv.org/abs/2111.13332v1
• [cs.LG]The Geometry of Adversarial Training in Binary Classification
Leon Bungert, Nicolás García Trillos, Ryan Murray
http://arxiv.org/abs/2111.13613v1
• [cs.LG]Unsupervised Feature Ranking via Attribute Networks
Urh Primožič, Blaž Škrlj, Sašo Džeroski, Matej Petković
http://arxiv.org/abs/2111.13273v1
• [cs.LG]Variational Gibbs inference for statistical model estimation from incomplete data
Vaidotas Simkus, Benjamin Rhodes, Michael U. Gutmann
http://arxiv.org/abs/2111.13180v1
• [cs.NE]Deriving Smaller Orthogonal Arrays from Bigger Ones with Genetic Algorithm
Luca Mariot
http://arxiv.org/abs/2111.13047v1
• [cs.NE]Information Bottleneck-Based Hebbian Learning Rule Naturally Ties Working Memory and Synaptic Updates
Kyle Daruwalla, Mikko Lipasti
http://arxiv.org/abs/2111.13187v1
• [cs.NE]On the Difficulty of Evolving Permutation Codes
Luca Mariot, Stjepan Picek, Domagoj Jakobovic, Marko Djurasevic, Alberto Leporati
http://arxiv.org/abs/2111.13252v1
• [cs.NE]Optimal Technical Indicator-based Trading Strategies Using NSGA-II
P. Shanmukh Kali Prasad, Vadlamani Madhav, Ramanuj Lal, Vadlamani Ravi
http://arxiv.org/abs/2111.13364v1
• [cs.RO]Learning to Search in Task and Motion Planning with Streams
Mohamed Khodeir, Ben Agro, Florian Shkurti
http://arxiv.org/abs/2111.13144v1
• [cs.RO]Rapid and Reliable Trajectory Planning Involving Omnidirectional Jumping of Quadruped Robots
Matthew Chignoli, Savva Morozov, Sangbae Kim
http://arxiv.org/abs/2111.13648v1
• [cs.RO]Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
Iman Nematollahi, Erick Rosete-Beas, Adrian Röfer, Tim Welschehold, Abhinav Valada, Wolfram Burgard
http://arxiv.org/abs/2111.13129v1
• [cs.RO]StarNet: Joint Action-Space Prediction with Star Graphs and Implicit Global Frame Self-Attention
Faris Janjoš, Maxim Dolgov, J. Marius Zöllner
http://arxiv.org/abs/2111.13566v1
• [cs.RO]Toward an Idiomatic Framework for Cognitive Robotics
Malte R. Damgaard, Rasmus Pedersen, Thomas Bak
http://arxiv.org/abs/2111.13027v1
• [cs.RO]Unscented Kalman Filter for Long-Distance Vessel Tracking in Geodetic Coordinates
Blake Cole, Gabriel Schamberg
http://arxiv.org/abs/2111.13254v1
• [cs.SI]On the combination of graph data for assessing thin-file borrowers’ creditworthiness
Ricardo Muñoz-Cancino, Cristián Bravo, Sebastián A. Ríos, Manuel Graña
http://arxiv.org/abs/2111.13666v1
• [cs.SI]Outlier Detection for Trajectories via Flow-embeddings
Florian Frantzen, Jean-Baptiste Seby, Michael T. Schaub
http://arxiv.org/abs/2111.13235v1
• [cs.SI]Quantification of network structural dissimilarities based on graph embedding
Zhipeng Wang, Xiu-Xiu Zhan, Chuang Liu, Zi-Ke Zhang
http://arxiv.org/abs/2111.13114v1
• [econ.EM]Network regression and supervised centrality estimation
Junhui Cai, Dan Yang, Wu Zhu, Haipeng Shen, Linda Zhao
http://arxiv.org/abs/2111.12921v1
• [eess.AS]Learning source-aware representations of music in a discrete latent space
Jinsung Kim, Yeong-Seok Jeong, Woosung Choi, Jaehwa Chung, Soonyoung Jung
http://arxiv.org/abs/2111.13321v1
• [eess.IV]Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory Requirements
Franz Thaler, Christian Payer, Horst Bischof, Darko Stern
http://arxiv.org/abs/2111.13630v1
• [eess.IV]Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Fusion Encoder: Application to Liver Tumor and Vessel 3D reconstruction
Xiangyu Meng, Xudong Zhang, Gan Wang, Ying Zhang, Xin Shi, Huanhuan Dai, Zixuan Wang, Xun Wang
http://arxiv.org/abs/2111.13299v1
• [eess.SY]On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments
Fabio Bonassi, Marcello Farina, Jing Xie, Riccardo Scattolini
http://arxiv.org/abs/2111.13557v1
• [eess.SY]Teaching Undergraduate Students to Think Like Real-World Systems Engineers: A Technology-Based Hybrid Learning Approach
Rami Ghannam, Cecilia Chan
http://arxiv.org/abs/2111.13559v1
• [math.NA]A Spline Dimensional Decomposition for Uncertainty Quantification in High Dimensions
Sharif Rahman, Ramin Jahanbin
http://arxiv.org/abs/2111.12870v1
• [math.PR]On quadratic variations of the fractional-white wave equation
Radomyra Shevchenko
http://arxiv.org/abs/2111.13659v1
• [math.ST]High-dimensional inference via hybrid orthogonalization
Yang Li, Zemin Zheng, Jia Zhou, Ziwei Zhu
http://arxiv.org/abs/2111.13391v1
• [math.ST]Optimal Estimation of Schatten Norms of a rectangular Matrix
Solène Thépaut, Nicolas Verzelen
http://arxiv.org/abs/2111.13551v1
• [math.ST]Simultaneous best linear invariant prediction of future order statistics for location-scale and scale families and associated optimality properties
Narayanaswamy Balakrishnan, Ritwik Bhattacharya
http://arxiv.org/abs/2111.12962v1
• [math.ST]Tree density estimation
László Györfi, Aryeh Kontorovich, Roi Weiss
http://arxiv.org/abs/2111.11971v2
• [physics.med-ph]Deep Learning for Reaction-Diffusion Glioma Growth Modelling: Towards a Fully Personalised Model?
Corentin Martens, Antonin Rovai, Daniele Bonatto, Thierry Metens, Olivier Debeir, Christine Decaestecker, Serge Goldman, Gaetan Van Simaeys
http://arxiv.org/abs/2111.13404v1
• [physics.soc-ph]Ranking by Momentum based on Pareto ordering of entities
Tomasz Imielinski
http://arxiv.org/abs/2111.13051v1
• [physics.soc-ph]The evolution of honesty in higher-order social networks
Aanjaneya Kumar, Sandeep Chowdhary, Valerio Capraro, Matjaz Perc
http://arxiv.org/abs/2111.12804v1
• [q-bio.NC]A model of semantic completion in generative episodic memory
Zahra Fayyaz, Aya Altamimi, Sen Cheng, Laurenz Wiskott
http://arxiv.org/abs/2111.13537v1
• [q-bio.PE]SPAGETI: Stabilizing Phylogenetic Assessment with Gene Evolutionary Tree Indices
Ali Amiryousefi
http://arxiv.org/abs/2111.12989v1
• [stat.AP]Ambivalent and Consistent Relationships: The Role of Personal Networks in Cases of Domestic Violence
Elisa Bellotti, Susanne Boethius, Malin Akerstrom, Margareta Hyden
http://arxiv.org/abs/2111.13104v1
• [stat.AP]Cleaning the covariance matrix of strongly nonstationary systems with time-independent eigenvalues
Christian Bongiorno, Damien Challet, Grégoire Loeper
http://arxiv.org/abs/2111.13109v1
• [stat.AP]Comparison of annual maximum series and flood-type-differentiated mixture models of partial duration series
Svenja Fischer
http://arxiv.org/abs/2111.13393v1
• [stat.AP]Continuous-time Markov chain as a generic trait-based evolutionary model
Ali Amiryousefi
http://arxiv.org/abs/2111.13032v1
• [stat.AP]Nonstationary Spatial Modeling of Massive Global Satellite Data
Huang Huang, Lewis R. Blake, Matthias Katzfuss, Dorit M. Hammerling
http://arxiv.org/abs/2111.13428v1
• [stat.AP]Using Machine Learning to Predict Poverty Status in Costa Rican Households
Ji Yoon Kim
http://arxiv.org/abs/2111.13319v1
• [stat.ME]A Differentially Private Bayesian Approach to Replication Analysis
Chengxin Yang, Jerome P. Reiter
http://arxiv.org/abs/2111.13378v1
• [stat.ME]A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment
Robert Hu, Dino Sejdinovic, Robin J. Evans
http://arxiv.org/abs/2111.13226v1
• [stat.ME]A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors
Shiv Agrawal, Hwanwoo Kim, Alexander Strang, Daniel Sanz-Alonso
http://arxiv.org/abs/2111.13329v1
• [stat.ME]A framework for meta-analysis through standardized survival curves
Joris Hautekiet, Elena-Sophie Prigge, Theresa Obermueller, Marc Arbyn, Els Goetghebeur
http://arxiv.org/abs/2111.13132v1
• [stat.ME]An Augmented Likelihood Approach for the Discrete Proportional Hazards Model Using Auxiliary and Validated Outcome Data — with Application to HCHS/SOL Study
Lillian Boe, Pamela Shaw
http://arxiv.org/abs/2111.12760v1
• [stat.ME]Biased-sample empirical likelihood weighting: an alternative to inverse probability weighting
Yukun Liu, Yan Fan
http://arxiv.org/abs/2111.12955v1
• [stat.ME]Correcting the Laplace Method with Variational Bayes
Janet van Niekerk, Haavard Rue
http://arxiv.org/abs/2111.12945v1
• [stat.ME]Hidden Markov Models for Longitudinal Rating Data with Dynamic Response Styles
R. Colombi, S. Giordano, M. Kateri
http://arxiv.org/abs/2111.13370v1
• [stat.ME]Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator
Jason D. McEwen, Christopher G. R. Wallis, Matthew A. Price, Matthew M. Docherty
http://arxiv.org/abs/2111.12720v1
• [stat.ML]Conditional Manifold Learning
Anh Tuan Bui
http://arxiv.org/abs/2111.13646v1
• [stat.ML]Generalizing Clinical Trials with Convex Hulls
Eric V. Strobl, Thomas A. Lasko
http://arxiv.org/abs/2111.13229v1
• [stat.ML]Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features
Lars Henry Berge Olsen, Ingrid Kristine Glad, Martin Jullum, Kjersti Aas
http://arxiv.org/abs/2111.13507v1
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