cs.AI - 人工智能
    cs.AR - 硬件体系结构
    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.LO - 计算逻辑
    cs.NE - 神经与进化计算
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SI - 社交网络与信息网络
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.AP - 偏微分方程分析
    math.DS - 动力系统
    math.NA - 数值分析
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.chem-ph -化学物理
    physics.comp-ph - 计算物理学
    physics.geo-ph - 地球物理学
    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
    q-fin.CP -计算金融学
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]Gapoera: Application Programming Interface for AI Environment of Indonesian Board Game
    • [cs.AI]Logical Assessment Formula and its Principles for Evaluations without Accurate Ground-Truth Labels
    • [cs.AI]Measuring the Non-Transitivity in Chess
    • [cs.AI]Neural-guided, Bidirectional Program Search for Abstraction and Reasoning
    • [cs.AI]Unraveling the hidden environmental impacts of AI solutions for environment
    • [cs.AR]Supporting Massive DLRM Inference Through Software Defined Memory
    • [cs.CL]A Framework for Learning Assessment through Multimodal Analysis of Reading Behaviour and Language Comprehension
    • [cs.CL]Adaptive Bridge between Training and Inference for Dialogue
    • [cs.CL]Cleaning Dirty Books: Post-OCR Processing for Previously Scanned Texts
    • [cs.CL]Double Trouble: How to not explain a text classifier’s decisions using counterfactuals synthesized by masked language models?
    • [cs.CL]Lightweight Decoding Strategies for Increasing Specificity
    • [cs.CL]ListReader: Extracting List-form Answers for Opinion Questions
    • [cs.CL]SCICAP: Generating Captions for Scientific Figures
    • [cs.CL]SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching
    • [cs.CL]Text Counterfactuals via Latent Optimization and Shapley-Guided Search
    • [cs.CR]PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy
    • [cs.CR]WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy
    • [cs.CV]1st Place Solution for the UVO Challenge on Video-based Open-World Segmentation 2021
    • [cs.CV]AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation
    • [cs.CV]AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations
    • [cs.CV]Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image Segmentation
    • [cs.CV]Automatic Detection of Injection and Press Mold Parts on 2D Drawing Using Deep Neural Network
    • [cs.CV]BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
    • [cs.CV]C今日学术视野(2021.10.26) - 图1Net: Contextual Compression and Complementary Combination Network for Salient Object Detection
    • [cs.CV]CTP-Net For Cross-Domain Trajectory Prediction
    • [cs.CV]CeyMo: See More on Roads — A Novel Benchmark Dataset for Road Marking Detection
    • [cs.CV]Challenges in Procedural Multimodal Machine Comprehension:A Novel Way To Benchmark
    • [cs.CV]Conditional Variational Autoencoder for Learned Image Reconstruction
    • [cs.CV]Creating and Reenacting Controllable 3D Humans with Differentiable Rendering
    • [cs.CV]DIML/CVL RGB-D Dataset: 2M RGB-D Images of Natural Indoor and Outdoor Scenes
    • [cs.CV]Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation
    • [cs.CV]Depth-only Object Tracking
    • [cs.CV]Digital and Physical-World Attacks on Remote Pulse Detection
    • [cs.CV]Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity
    • [cs.CV]EvoGAN: An Evolutionary Computation Assisted GAN
    • [cs.CV]Explainable, automated urban interventions to improve pedestrian and vehicle safety
    • [cs.CV]Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning
    • [cs.CV]Federated Unlearning via Class-Discriminative Pruning
    • [cs.CV]Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes
    • [cs.CV]Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes
    • [cs.CV]GCCN: Global Context Convolutional Network
    • [cs.CV]High Fidelity 3D Reconstructions with Limited Physical Views
    • [cs.CV]IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D Reconstruction
    • [cs.CV]Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children
    • [cs.CV]Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering
    • [cs.CV]MIGS: Meta Image Generation from Scene Graphs
    • [cs.CV]MixNorm: Test-Time Adaptation Through Online Normalization Estimation
    • [cs.CV]Multi-Stream Attention Learning for Monocular Vehicle Velocity and Inter-Vehicle Distance Estimation
    • [cs.CV]Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN
    • [cs.CV]Multimodal Semi-Supervised Learning for3D Objects
    • [cs.CV]Occlusion-Robust Object Pose Estimation with Holistic Representation
    • [cs.CV]Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation
    • [cs.CV]Projective Manifold Gradient Layer for Deep Rotation Regression
    • [cs.CV]PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels
    • [cs.CV]Prototypical Classifier for Robust Class-Imbalanced Learning
    • [cs.CV]Pseudo Supervised Monocular Depth Estimation with Teacher-Student Network
    • [cs.CV]Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation
    • [cs.CV]Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic Segmentation
    • [cs.CV]Rethinking Generalization Performance of Surgical Phase Recognition with Expert-Generated Annotations
    • [cs.CV]SOFT: Softmax-free Transformer with Linear Complexity
    • [cs.CV]Sequential Decision-Making for Active Object Detection from Hand
    • [cs.CV]Signature-Graph Networks
    • [cs.CV]Simple Dialogue System with AUDITED
    • [cs.CV]SwiftLane: Towards Fast and Efficient Lane Detection
    • [cs.CV]SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words
    • [cs.CV]UBR今日学术视野(2021.10.26) - 图2S: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain Adaptation
    • [cs.CV]Wide and Narrow: Video Prediction from Context and Motion
    • [cs.CY]”It may be a pain in the backside but…” Insights into the impact of GDPR on business after three years
    • [cs.CY]FakeNewsLab: Experimental Study on Biases and Pitfalls Preventing us from Distinguishing True from False News
    • [cs.CY]To Recommend or Not? A Model-Based Comparison of Item-Matching Processes
    • [cs.DB]Creating Knowledge Graphs Subsets using Shape Expressions
    • [cs.DC]A Fresh Look at the Architecture and Performance of Contemporary Isolation Platforms
    • [cs.DC]EXSCALATE: An extreme-scale in-silico virtual screening platform to evaluate 1 trillion compounds in 60 hours on 81 PFLOPS supercomputers
    • [cs.DC]GCNScheduler: Scheduling Distributed Computing Applications using Graph Convolutional Networks
    • [cs.DC]Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP
    • [cs.DC]Three Practical Workflow Schedulers for Easy Maximum Parallelism
    • [cs.DS]An O(1) algorithm for implementing the LFU cache eviction scheme
    • [cs.DS]Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally
    • [cs.DS]Tight and Robust Private Mean Estimation with Few Users
    • [cs.GT]Auctions Between Regret-Minimizing Agents
    • [cs.IR]Adverse Media Mining for KYC and ESG Compliance
    • [cs.IR]MIC: Model-agnostic Integrated Cross-channel Recommenders
    • [cs.IR]Personalized Transfer of User Preferences for Cross-domain Recommendation
    • [cs.IR]Wacky Weights in Learned Sparse Representations and the Revenge of Score-at-a-Time Query Evaluation
    • [cs.IT]CI-Based One-Bit Precoding for Multiuser Downlink Massive MIMO Systems with PSK Modulation: A Negative 今日学术视野(2021.10.26) - 图3 Penalty Approach
    • [cs.IT]High-performance Estimation of Jamming Covariance Matrix for IRS-aided Directional Modulation Network with a Malicious Attacker
    • [cs.IT]Linear-Equation Ordered-Statistics Decoding
    • [cs.IT]On the largest singular values of certain large random matrices with application to the estimation of the minimal dimension of the state-space representations of high-dimensional time series
    • [cs.IT]Online Meta-Learning for Scene-Diverse Waveform-Agile Radar Target Tracking
    • [cs.IT]The Optimal Pilot Power Allocation Strategy for Multi-IRS Assisted Communication Systems
    • [cs.IT]Uniquely Decodable Multi-Amplitude Sequence for Massive Grant-free Multiple-Access Adder Channels
    • [cs.LG]Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff
    • [cs.LG]Anti-Backdoor Learning: Training Clean Models on Poisoned Data
    • [cs.LG]Break your Bandit Routine with LSD Rewards: a Last Switch Dependent Analysis of Satiation and Seasonality
    • [cs.LG]Clustering of Bank Customers using LSTM-based encoder-decoder and Dynamic Time Warping
    • [cs.LG]Conditional Gaussian PAC-Bayes
    • [cs.LG]Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
    • [cs.LG]DistFL: Distribution-aware Federated Learning for Mobile Scenarios
    • [cs.LG]Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes
    • [cs.LG]Error-Correcting Neural Networks for Semi-Lagrangian Advection in the Level-Set Method
    • [cs.LG]Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
    • [cs.LG]GeneDisco: A Benchmark for Experimental Design in Drug Discovery
    • [cs.LG]Graph Filtration Kernels
    • [cs.LG]Guess what? You can boost Federated Learning for free
    • [cs.LG]Learning Proposals for Practical Energy-Based Regression
    • [cs.LG]Logical Activation Functions: Logit-space equivalents of Boolean Operators
    • [cs.LG]MANDERA: Malicious Node Detection in Federated Learning via Ranking
    • [cs.LG]MLPerfTM HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems
    • [cs.LG]Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach
    • [cs.LG]Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model
    • [cs.LG]Multi-view Contrastive Graph Clustering
    • [cs.LG]On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning
    • [cs.LG]Patient level simulation and reinforcement learning to discover novel strategies for treating ovarian cancer
    • [cs.LG]Power Transformer Fault Diagnosis with Intrinsic Time-scale Decomposition and XGBoost Classifier
    • [cs.LG]Predictive machine learning for prescriptive applications: a coupled training-validating approach
    • [cs.LG]ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI
    • [cs.LG]Safe rules for the identification of zeros in the solutions of the SLOPE problem
    • [cs.LG]Sinkformers: Transformers with Doubly Stochastic Attention
    • [cs.LG]Variational Wasserstein Barycenters with c-Cyclical Monotonicity
    • [cs.LG]Wide Neural Networks Forget Less Catastrophically
    • [cs.LO]Proceedings Third Workshop on Formal Methods for Autonomous Systems
    • [cs.NE]Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks
    • [cs.NE]Explainable Landscape-Aware Optimization Performance Prediction
    • [cs.RO]Action Planning for Packing Long Linear Elastic Objects into Compact Boxes with Bimanual Robotic Manipulation
    • [cs.RO]CNN-based Omnidirectional Object Detection for HermesBot Autonomous Delivery Robot with Preliminary Frame Classification
    • [cs.RO]Contact Anticipation for Physical Human-Robot Interaction with Robotic Manipulators using Onboard Proximity Sensors
    • [cs.RO]Handling Concurrency in Behavior Trees
    • [cs.RO]Learning Stable Vector Fields on Lie Groups
    • [cs.RO]ModEL: A Modularized End-to-end Reinforcement Learning Framework for Autonomous Driving
    • [cs.RO]Real-Time Ground-Plane Refined LiDAR SLAM
    • [cs.RO]Soft Lattice Modules that Behave Independently and Collectively
    • [cs.RO]Volumetric Data Fusion of External Depth and Onboard Proximity Data For Occluded Space Reduction
    • [cs.SD]Wav2CLIP: Learning Robust Audio Representations From CLIP
    • [cs.SI]Grounding force-directed network layouts with latent space models
    • [cs.SI]Look behind the Censorship: Reposting-User Characterization and Muted-Topic Restoration
    • [cs.SI]Multiwave COVID-19 Prediction via Social Awareness-Based Graph Neural Networks using Mobility and Web Search Data
    • [cs.SI]Node package manager’s dependency network robustness
    • [cs.SI]Node-based Generalized Friendship Paradox fails
    • [eess.AS]Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition
    • [eess.IV]HDRVideo-GAN: Deep Generative HDR Video Reconstruction
    • [eess.IV]MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images
    • [eess.IV]Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolution
    • [eess.IV]Multimodal-Boost: Multimodal Medical Image Super-Resolution using Multi-Attention Network with Wavelet Transform
    • [eess.SP]Model-aided Geometrical Shaping of Dual-polarization 4D Formats in the Nonlinear Fiber Channel
    • [eess.SY]An Adaptive Digital Autopilot for Fixed-Wing Aircraft with Actuator Faults
    • [math.AP]Fractional Modeling in Action: A Survey of Nonlocal Models for Subsurface Transport, Turbulent Flows, and Anomalous Materials
    • [math.DS]Using scientific machine learning for experimental bifurcation analysis of dynamic systems
    • [math.NA]Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations
    • [math.OC]A Fast and Accurate Splitting Method for Optimal Transport: Analysis and Implementation
    • [math.OC]Projection-Free Algorithm for Stochastic Bi-level Optimization
    • [math.OC]Towards Noise-adaptive, Problem-adaptive Stochastic Gradient Descent
    • [math.ST]Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model
    • [math.ST]Testing network correlation efficiently via counting trees
    • [physics.chem-ph]DQC: a Python program package for Differentiable Quantum Chemistry
    • [physics.comp-ph]Computing the Invariant Distribution of Randomly Perturbed Dynamical Systems Using Deep Learning
    • [physics.geo-ph]Deep Convolutional Autoencoders as Generic Feature Extractors in Seismological Applications
    • [physics.soc-ph]A Path-based Approach to Analyzing the Global Liner Shipping Network
    • [q-bio.NC]Cortico-cerebellar networks as decoupling neural interfaces
    • [q-bio.PE]Identifiability of local and global features of phylogenetic networks from average distances
    • [q-fin.CP]Clustering Market Regimes using the Wasserstein Distance
    • [q-fin.CP]Forecasting Financial Market Structure from Network Features using Machine Learning
    • [q-fin.CP]Forecasting Financial Market Structure from Network Features using Machine Learning
    • [quant-ph]Climbing the Diagonal Clifford Hierarchy
    • [stat.AP]Multimodel Bayesian Analysis of Load Duration Effects in Lumber Reliability
    • [stat.AP]Variational Bayesian Approximation of Inverse Problems using Sparse Precision Matrices
    • [stat.CO]Missing the Point: Non-Convergence in Iterative Imputation Algorithms
    • [stat.CO]Statistical Finite Elements via Langevin Dynamics
    • [stat.ME]Additive Density-on-Scalar Regression in Bayes Hilbert Spaces with an Application to Gender Economics
    • [stat.ME]Combining Parametric and Nonparametric Models to Estimate Treatment Effects in Observational Studies
    • [stat.ME]L-2 Regularized maximum likelihood for 今日学术视野(2021.10.26) - 图4-model in large and sparse networks
    • [stat.ME]Merging Two Cultures: Deep and Statistical Learning
    • [stat.ME]Temporal Point Process Graphical Models
    • [stat.ME]Validation of point process predictions with proper scoring rules
    • [stat.ML]Conditioning of Random Feature Matrices: Double Descent and Generalization Error
    • [stat.ML]Probabilistic ODE Solutions in Millions of Dimensions
    • [stat.ML]Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning
    • [stat.ML]Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models — Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops
    • [stat.ML]The Equilibrium Hypothesis: Rethinking implicit regularization in Deep Neural Networks

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

    • [cs.AI]Gapoera: Application Programming Interface for AI Environment of Indonesian Board Game
    Rian Adam Rajagede, Galang Prihadi Mahardhika
    http://arxiv.org/abs/2110.11924v1

    • [cs.AI]Logical Assessment Formula and its Principles for Evaluations without Accurate Ground-Truth Labels
    Yongquan Yang
    http://arxiv.org/abs/2110.11567v1

    • [cs.AI]Measuring the Non-Transitivity in Chess
    Ricky Sanjaya, Jun Wang, Yaodong Yang
    http://arxiv.org/abs/2110.11737v1

    • [cs.AI]Neural-guided, Bidirectional Program Search for Abstraction and Reasoning
    Simon Alford, Anshula Gandhi, Akshay Rangamani, Andrzej Banburski, Tony Wang, Sylee Dandekar, John Chin, Tomaso Poggio, Peter Chin
    http://arxiv.org/abs/2110.11536v1

    • [cs.AI]Unraveling the hidden environmental impacts of AI solutions for environment
    Anne-Laure Ligozat, Julien Lefèvre, Aurélie Bugeau, Jacques Combaz
    http://arxiv.org/abs/2110.11822v1

    • [cs.AR]Supporting Massive DLRM Inference Through Software Defined Memory
    Ehsan K. Ardestani, Changkyu Kim, Seung Jae Lee, Luoshang Pan, Valmiki Rampersad, Jens Axboe, Banit Agrawal, Fuxun Yu, Ansha Yu, Trung Le, Hector Yuen, Shishir Juluri, Akshat Nanda, Manoj Wodekar, Dheevatsa Mudigere, Krishnakumar Nair, Maxim Naumov, Chris Peterson, Mikhail Smelyanskiy, Vijay Rao
    http://arxiv.org/abs/2110.11489v1

    • [cs.CL]A Framework for Learning Assessment through Multimodal Analysis of Reading Behaviour and Language Comprehension
    Santosh Kumar Barnwal
    http://arxiv.org/abs/2110.11938v1

    • [cs.CL]Adaptive Bridge between Training and Inference for Dialogue
    Haoran Xu, Hainan Zhang, Yanyan Zou, Hongshen Chen, Zhuoye Ding, Yanyan Lan
    http://arxiv.org/abs/2110.11560v1

    • [cs.CL]Cleaning Dirty Books: Post-OCR Processing for Previously Scanned Texts
    Allen Kim, Charuta Pethe, Naoya Inoue, Steve Skiena
    http://arxiv.org/abs/2110.11934v1

    • [cs.CL]Double Trouble: How to not explain a text classifier’s decisions using counterfactuals synthesized by masked language models?
    Thang M. Pham, Trung Bui, Long Mai, Anh Nguyen
    http://arxiv.org/abs/2110.11929v1

    • [cs.CL]Lightweight Decoding Strategies for Increasing Specificity
    Katy Ilonka Gero, Chris Kedzie, Savvas Petridis, Lydia Chilton
    http://arxiv.org/abs/2110.11850v1

    • [cs.CL]ListReader: Extracting List-form Answers for Opinion Questions
    Peng Cui, Dongyao Hu, Le Hu
    http://arxiv.org/abs/2110.11692v1

    • [cs.CL]SCICAP: Generating Captions for Scientific Figures
    Ting-Yao, Hsu, C. Lee Giles, Ting-Hao ‘Kenneth’ Huang
    http://arxiv.org/abs/2110.11624v1

    • [cs.CL]SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching
    Baolin Peng, Chunyuan Li, Zhu Zhang, Jinchao Li, Chenguang Zhu, Jianfeng Gao
    http://arxiv.org/abs/2110.11514v1

    • [cs.CL]Text Counterfactuals via Latent Optimization and Shapley-Guided Search
    Quintin Pope, Xiaoli Z. Fern
    http://arxiv.org/abs/2110.11589v1

    • [cs.CR]PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy
    Xiaolan Gu, Ming Li, Li Xiong
    http://arxiv.org/abs/2110.11578v1

    • [cs.CR]WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy
    Zhuotao Lian, Qinglin Yang, Qingkui Zeng, Chunhua Su
    http://arxiv.org/abs/2110.11646v1

    • [cs.CV]1st Place Solution for the UVO Challenge on Video-based Open-World Segmentation 2021
    Yuming Du, Wen Guo, Yang Xiao, Vincent Lepetit
    http://arxiv.org/abs/2110.11661v1

    • [cs.CV]AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation
    Khoa Vo, Hyekang Joo, Kashu Yamazaki, Sang Truong, Kris Kitani, Ngan Le
    http://arxiv.org/abs/2110.11474v1

    • [cs.CV]AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations
    Simon Giebenhain, Bastian Goldlücke
    http://arxiv.org/abs/2110.11860v1

    • [cs.CV]Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image Segmentation
    Yang Zhang, Moyun Liu, Huiming Zhang, Guodong Sun, Jingwu He
    http://arxiv.org/abs/2110.11685v1

    • [cs.CV]Automatic Detection of Injection and Press Mold Parts on 2D Drawing Using Deep Neural Network
    Junseok Lee, Jongwon Kim, Jumi Park, Seunghyeok Back, Seongho Bak, Kyoobin Lee
    http://arxiv.org/abs/2110.11593v1

    • [cs.CV]BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
    Mingcong Liu, Qiang Li, Zekui Qin, Guoxin Zhang, Pengfei Wan, Wen Zheng
    http://arxiv.org/abs/2110.11728v1

    • [cs.CV]C今日学术视野(2021.10.26) - 图5Net: Contextual Compression and Complementary Combination Network for Salient Object Detection
    Hazarapet Tunanyan
    http://arxiv.org/abs/2110.11887v1

    • [cs.CV]CTP-Net For Cross-Domain Trajectory Prediction
    Pingxuan Huang, Yanyan Fang, Bo Hu, Shenghua Gao, Jing Li
    http://arxiv.org/abs/2110.11645v1

    • [cs.CV]CeyMo: See More on Roads — A Novel Benchmark Dataset for Road Marking Detection
    Oshada Jayasinghe, Sahan Hemachandra, Damith Anhettigama, Shenali Kariyawasam, Ranga Rodrigo, Peshala Jayasekara
    http://arxiv.org/abs/2110.11867v1

    • [cs.CV]Challenges in Procedural Multimodal Machine Comprehension:A Novel Way To Benchmark
    Pritish Sahu, Karan Sikka, Ajay Divakaran
    http://arxiv.org/abs/2110.11899v1

    • [cs.CV]Conditional Variational Autoencoder for Learned Image Reconstruction
    Chen Zhang, Riccardo Barbano Bangti Jin
    http://arxiv.org/abs/2110.11681v1

    • [cs.CV]Creating and Reenacting Controllable 3D Humans with Differentiable Rendering
    Thiago L. Gomes, Thiago M. Coutinho, Rafael Azevedo, Renato Martins, Erickson R. Nascimento
    http://arxiv.org/abs/2110.11746v1

    • [cs.CV]DIML/CVL RGB-D Dataset: 2M RGB-D Images of Natural Indoor and Outdoor Scenes
    Jaehoon Cho, Dongbo Min, Youngjung Kim, Kwanghoon Sohn
    http://arxiv.org/abs/2110.11590v1

    • [cs.CV]Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation
    Ziwen Li, Bo Xu, Han Huang, Cheng Lu, Yandong Guo
    http://arxiv.org/abs/2110.11680v1

    • [cs.CV]Depth-only Object Tracking
    Song Yan, Jinyu Yang, Ales Leonardis, Joni-Kristian Kamarainen
    http://arxiv.org/abs/2110.11679v1

    • [cs.CV]Digital and Physical-World Attacks on Remote Pulse Detection
    Jeremy Speth, Nathan Vance, Patrick Flynn, Kevin W. Bowyer, Adam Czajka
    http://arxiv.org/abs/2110.11525v1

    • [cs.CV]Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity
    Bernd Gruner, Matthias Körschens, Björn Barz, Joachim Denzler
    http://arxiv.org/abs/2110.11778v1

    • [cs.CV]EvoGAN: An Evolutionary Computation Assisted GAN
    Feng Liu, HanYang Wang, Jiahao Zhang, Ziwang Fu, Aimin Zhou, Jiayin Qi, Zhibin Li
    http://arxiv.org/abs/2110.11583v1

    • [cs.CV]Explainable, automated urban interventions to improve pedestrian and vehicle safety
    Cristina Bustos, Daniel Rhoads, Albert Sole-Ribalta, David Masip, Alex Arenas, Agata Lapedriza, Javier Borge-Holthoefer
    http://arxiv.org/abs/2110.11672v1

    • [cs.CV]Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning
    Yang Yang, Hongchen Wei, Hengshu Zhu, Dianhai Yu, Hui Xiong, Qingshan Liu, Jian Yang
    http://arxiv.org/abs/2110.11767v1

    • [cs.CV]Federated Unlearning via Class-Discriminative Pruning
    Junxiao Wang, Song Guo, Xin Xie, Heng Qi
    http://arxiv.org/abs/2110.11794v1

    • [cs.CV]Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes
    Yiwen Li, Gratianus Wesley Putra Data, Yunguan Fu, Yipeng Hu, Victor Adrian Prisacariu
    http://arxiv.org/abs/2110.11742v1

    • [cs.CV]Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes
    Yiwen Li, Gratianus Wesley Putra Data, Yunguan Fu, Yipeng Hu, Victor Adrian Prisacariu
    http://arxiv.org/abs/2110.1
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    1742v1
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    1742v1)

    • [cs.CV]GCCN: Global Context Convolutional Network
    Ali Hamdi, Flora Salim, Du Yong Kim
    http://arxiv.org/abs/2110.11664v1

    • [cs.CV]High Fidelity 3D Reconstructions with Limited Physical Views
    Mosam Dabhi, Chaoyang Wang, Kunal Saluja, Laszlo Jeni, Ian Fasel, Simon Lucey
    http://arxiv.org/abs/2110.11599v1

    • [cs.CV]IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D Reconstruction
    Max Hermann, Thomas Pollok, Daniel Brommer, Dominic Zahn
    http://arxiv.org/abs/2110.11810v1

    • [cs.CV]Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children
    Jungsoo Lee, Jooyeol Yun, Sunghyun Park, Yonggyu Kim, Jaegul Choo
    http://arxiv.org/abs/2110.11630v1

    • [cs.CV]Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering
    Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li
    http://arxiv.org/abs/2110.11592v1

    • [cs.CV]MIGS: Meta Image Generation from Scene Graphs
    Azade Farshad, Sabrina Musatian, Helisa Dhamo, Nassir Navab
    http://arxiv.org/abs/2110.11918v1

    • [cs.CV]MixNorm: Test-Time Adaptation Through Online Normalization Estimation
    Xuefeng Hu, Gokhan Uzunbas, Sirius Chen, Rui Wang, Ashish Shah, Ram Nevatia, Ser-Nam Lim
    http://arxiv.org/abs/2110.11478v1

    • [cs.CV]Multi-Stream Attention Learning for Monocular Vehicle Velocity and Inter-Vehicle Distance Estimation
    Kuan-Chih Huang, Yu-Kai Huang, Winston H. Hsu
    http://arxiv.org/abs/2110.11608v1

    • [cs.CV]Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN
    Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic
    http://arxiv.org/abs/2110.11830v1

    • [cs.CV]Multimodal Semi-Supervised Learning for3D Objects
    Zhimin Chen, Longlong Jing, Yang Liang, YingLi Tian, Bing Li
    http://arxiv.org/abs/2110.11601v1

    • [cs.CV]Occlusion-Robust Object Pose Estimation with Holistic Representation
    Bo Chen, Tat-Jun Chin, Marius Klimavicius
    http://arxiv.org/abs/2110.11636v1

    • [cs.CV]Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation
    Antonio Tavera, Fabio Cermelli, Carlo Masone, Barbara Caputo
    http://arxiv.org/abs/2110.11650v1

    • [cs.CV]Projective Manifold Gradient Layer for Deep Rotation Regression
    Jiayi Chen, Yingda Yin, Tolga Birdal, Baoquan Chen, Leonidas Guibas, He Wang
    http://arxiv.org/abs/2110.11657v1

    • [cs.CV]PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels
    Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
    http://arxiv.org/abs/2110.11809v1

    • [cs.CV]Prototypical Classifier for Robust Class-Imbalanced Learning
    Tong Wei, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang
    http://arxiv.org/abs/2110.11553v1

    • [cs.CV]Pseudo Supervised Monocular Depth Estimation with Teacher-Student Network
    Huan Liu, Junsong Yuan, Chen Wang, Jun Chen
    http://arxiv.org/abs/2110.11545v1

    • [cs.CV]Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation
    Jingyu Zhao, Yanwen Fang, Guodong Li
    http://arxiv.org/abs/2110.11852v1

    • [cs.CV]Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic Segmentation
    Antonio Tavera, Carlo Masone, Barbara Caputo
    http://arxiv.org/abs/2110.11662v1

    • [cs.CV]Rethinking Generalization Performance of Surgical Phase Recognition with Expert-Generated Annotations
    Seungbum Hong, Jiwon Lee, Bokyung Park, Ahmed A. Alwusaibie, Anwar H. Alfadhel, SungHyun Park, Woo Jin Hyung, Min-Kook Choi
    http://arxiv.org/abs/2110.11626v1

    • [cs.CV]SOFT: Softmax-free Transformer with Linear Complexity
    Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, Li Zhang
    http://arxiv.org/abs/2110.11945v1

    • [cs.CV]Sequential Decision-Making for Active Object Detection from Hand
    Qichen Fu, Xingyu Liu, Kris M. Kitani
    http://arxiv.org/abs/2110.11524v1

    • [cs.CV]Signature-Graph Networks
    Ali Hamdi, Flora Salim, Du Yong Kim, Xiaojun Chang
    http://arxiv.org/abs/2110.11551v1

    • [cs.CV]Simple Dialogue System with AUDITED
    Yusuf Tas, Piotr Koniusz
    http://arxiv.org/abs/2110.11881v1

    • [cs.CV]SwiftLane: Towards Fast and Efficient Lane Detection
    Oshada Jayasinghe, Damith Anhettigama, Sahan Hemachandra, Shenali Kariyawasam, Ranga Rodrigo, Peshala Jayasekara
    http://arxiv.org/abs/2110.11779v1

    • [cs.CV]SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words
    Jonathan J. Y. Kim, Martin Urschler, Patricia J. Riddle, Jörg S. Wicker
    http://arxiv.org/abs/2110.11491v1

    • [cs.CV]UBR今日学术视野(2021.10.26) - 图6S: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain Adaptation
    Tobias Ringwald, Rainer Stiefelhagen
    http://arxiv.org/abs/2110.11739v1

    • [cs.CV]Wide and Narrow: Video Prediction from Context and Motion
    Jaehoon Cho, Jiyoung Lee, Changjae Oh, Wonil Song, Kwanghoon Sohn
    http://arxiv.org/abs/2110.11586v1

    • [cs.CY]“It may be a pain in the backside but…” Insights into the impact of GDPR on business after three years
    Gerard Buckley, Tristan Caulfield, Ingolf Becker
    http://arxiv.org/abs/2110.11905v1

    • [cs.CY]FakeNewsLab: Experimental Study on Biases and Pitfalls Preventing us from Distinguishing True from False News
    Giancarlo Ruffo, Alfonso Semeraro
    http://arxiv.org/abs/2110.11729v1

    • [cs.CY]To Recommend or Not? A Model-Based Comparison of Item-Matching Processes
    Serina Chang, Johan Ugander
    http://arxiv.org/abs/2110.11468v1

    • [cs.DB]Creating Knowledge Graphs Subsets using Shape Expressions
    Jose Emilio Labra Gayo
    http://arxiv.org/abs/2110.11709v1

    • [cs.DC]A Fresh Look at the Architecture and Performance of Contemporary Isolation Platforms
    Vincent van Rijn, Jan S. Rellermeyer
    http://arxiv.org/abs/2110.11462v1

    • [cs.DC]EXSCALATE: An extreme-scale in-silico virtual screening platform to evaluate 1 trillion compounds in 60 hours on 81 PFLOPS supercomputers
    Davide Gadioli, Emanuele Vitali, Federico Ficarelli, Chiara Latini, Candida Manelfi, Carmine Talarico, Cristina Silvano, Carlo Cavazzoni, Gianluca Palermo, Andrea Rosario Beccari
    http://arxiv.org/abs/2110.11644v1

    • [cs.DC]GCNScheduler: Scheduling Distributed Computing Applications using Graph Convolutional Networks
    Mehrdad Kiamari, Bhaskar Krishnamachari
    http://arxiv.org/abs/2110.11552v1

    • [cs.DC]Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP
    Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen Boyd, Matei Zaharia
    http://arxiv.org/abs/2110.11927v1

    • [cs.DC]Three Practical Workflow Schedulers for Easy Maximum Parallelism
    David M. Rogers
    http://arxiv.org/abs/2110.11461v1

    • [cs.DS]An O(1) algorithm for implementing the LFU cache eviction scheme
    Dhruv Matani, Ketan Shah, Anirban Mitra
    http://arxiv.org/abs/2110.11602v1

    • [cs.DS]Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally
    Pravesh K. Kothari, Peter Manohar, Brian Hu Zhang
    http://arxiv.org/abs/2110.11853v1

    • [cs.DS]Tight and Robust Private Mean Estimation with Few Users
    Hossein Esfandiari, Vahab Mirrokni, Shyam Narayanan
    http://arxiv.org/abs/2110.11876v1

    • [cs.GT]Auctions Between Regret-Minimizing Agents
    Yoav Kolumbus, Noam Nisan
    http://arxiv.org/abs/2110.11855v1

    • [cs.IR]Adverse Media Mining for KYC and ESG Compliance
    Rupinder Paul Khandpur, Albert Aristotle Nanda, Mathew Davis, Chen Li, Daulet Nurmanbetov, Sankalp Gaur, Ashit Talukder
    http://arxiv.org/abs/2110.11542v1

    • [cs.IR]MIC: Model-agnostic Integrated Cross-channel Recommenders
    Yujie Lu, Ping Nie, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren
    http://arxiv.org/abs/2110.11570v1

    • [cs.IR]Personalized Transfer of User Preferences for Cross-domain Recommendation
    Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He
    http://arxiv.org/abs/2110.11154v2

    • [cs.IR]Wacky Weights in Learned Sparse Representations and the Revenge of Score-at-a-Time Query Evaluation
    Joel Mackenzie, Andrew Trotman, Jimmy Lin
    http://arxiv.org/abs/2110.11540v1

    • [cs.IT]CI-Based One-Bit Precoding for Multiuser Downlink Massive MIMO Systems with PSK Modulation: A Negative 今日学术视野(2021.10.26) - 图7 Penalty Approach
    Zheyu Wu, Bo Jiang, Ya-Feng Liu, Yu-Hong Dai
    http://arxiv.org/abs/2110.11628v1

    • [cs.IT]High-performance Estimation of Jamming Covariance Matrix for IRS-aided Directional Modulation Network with a Malicious Attacker
    Hangjia He, Ting Su, Hongjun Wang, Yin Teng, Weiping Shi, Feng Shu, Jiangzhou Wang
    http://arxiv.org/abs/2110.11634v1

    • [cs.IT]Linear-Equation Ordered-Statistics Decoding
    Chentao Yue, Mahyar Shirvanimoghaddam, Giyoon Park, Ok-Sun Park, Branka Vucetic, Yonghui Li
    http://arxiv.org/abs/2110.11574v1

    • [cs.IT]On the largest singular values of certain large random matrices with application to the estimation of the minimal dimension of the state-space representations of high-dimensional time series
    Daria Tieplova, Philippe Loubaton
    http://arxiv.org/abs/2110.11627v1

    • [cs.IT]Online Meta-Learning for Scene-Diverse Waveform-Agile Radar Target Tracking
    Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone
    http://arxiv.org/abs/2110.11450v1

    • [cs.IT]The Optimal Pilot Power Allocation Strategy for Multi-IRS Assisted Communication Systems
    Jiancheng An, Chao Xu, Lu Gan, Chau Yuen, Lajos Hanzo
    http://arxiv.org/abs/2110.11534v1

    • [cs.IT]Uniquely Decodable Multi-Amplitude Sequence for Massive Grant-free Multiple-Access Adder Channels
    Q. Y. Yu, K. X. Song
    http://arxiv.org/abs/2110.11827v1

    • [cs.LG]Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff
    Adel Javanmard, Mohammad Mehrabi
    http://arxiv.org/abs/2110.11950v1

    • [cs.LG]Anti-Backdoor Learning: Training Clean Models on Poisoned Data
    Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
    http://arxiv.org/abs/2110.11571v1

    • [cs.LG]Break your Bandit Routine with LSD Rewards: a Last Switch Dependent Analysis of Satiation and Seasonality
    Pierre Laforgue, Giulia Clerici, Nicolò Cesa-Bianchi, Ran Gilad-Bachrach
    http://arxiv.org/abs/2110.11819v1

    • [cs.LG]Clustering of Bank Customers using LSTM-based encoder-decoder and Dynamic Time Warping
    Ehsan Barkhordar, Mohammad Hassan Shirali-Shahreza, Hamid Reza Sadeghi
    http://arxiv.org/abs/2110.11769v1

    • [cs.LG]Conditional Gaussian PAC-Bayes
    Eugenio Clerico, George Deligiannidis, Arnaud Doucet
    http://arxiv.org/abs/2110.11886v1

    • [cs.LG]Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
    Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi
    http://arxiv.org/abs/2110.11688v1

    • [cs.LG]DistFL: Distribution-aware Federated Learning for Mobile Scenarios
    Bingyan Liu, Yifeng Cai, Ziqi Zhang, Yuanchun Li, Leye Wang, Ding Li, Yao Guo, Xiangqun Chen
    http://arxiv.org/abs/2110.11619v1

    • [cs.LG]Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes
    Elvis Nava, Mojmír Mutný, Andreas Krause
    http://arxiv.org/abs/2110.11665v1

    • [cs.LG]Error-Correcting Neural Networks for Semi-Lagrangian Advection in the Level-Set Method
    Luis Ángel Larios-Cárdenas, Frédéric Gibou
    http://arxiv.org/abs/2110.11611v1

    • [cs.LG]Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
    Hao Chen, Shaocheng Huang, Deyou Zhang, Ming Xiao, Mikael Skoglund, H. Vincent Poor
    http://arxiv.org/abs/2110.11775v1

    • [cs.LG]GeneDisco: A Benchmark for Experimental Design in Drug Discovery
    Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab
    http://arxiv.org/abs/2110.11875v1

    • [cs.LG]Graph Filtration Kernels
    Till Hendrik Schulz, Pascal Welke, Stefan Wrobel
    http://arxiv.org/abs/2110.11862v1

    • [cs.LG]Guess what? You can boost Federated Learning for free
    Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires
    http://arxiv.org/abs/2110.11486v1

    • [cs.LG]Learning Proposals for Practical Energy-Based Regression
    Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
    http://arxiv.org/abs/2110.11948v1

    • [cs.LG]Logical Activation Functions: Logit-space equivalents of Boolean Operators
    Scott C. Lowe, Robert Earle, Jason d’Eon, Thomas Trappenberg, Sageev Oore
    http://arxiv.org/abs/2110.11940v1

    • [cs.LG]MANDERA: Malicious Node Detection in Federated Learning via Ranking
    Wanchuang Zhu, Benjamin Zi Hao Zhao, Simon Luo, Ke Deng
    http://arxiv.org/abs/2110.11736v1

    • [cs.LG]MLPerfTM HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems
    Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonc, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin
    http://arxiv.org/abs/2110.11466v1

    • [cs.LG]Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach
    Divish Rengasamy, Jimiama M. Mase, Mercedes Torres Torres, Benjamin Rothwell, David A. Winkler, Grazziela P. Figueredo
    http://arxiv.org/abs/2110.11713v1

    • [cs.LG]Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model
    Antoine Bodin, Nicolas Macris
    http://arxiv.org/abs/2110.11805v1

    • [cs.LG]Multi-view Contrastive Graph Clustering
    Erlin Pan, Zhao Kang
    http://arxiv.org/abs/2110.11842v1

    • [cs.LG]On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning
    Anvith Thudi, Hengrui Jia, Ilia Shumailov, Nicolas Papernot
    http://arxiv.org/abs/2110.11891v1

    • [cs.LG]Patient level simulation and reinforcement learning to discover novel strategies for treating ovarian cancer
    Brian Murphy, Mustafa Nasir-Moin, Grace von Oiste, Viola Chen, Howard A Riina, Douglas Kondziolka, Eric K Oermann
    http://arxiv.org/abs/2110.11872v1

    • [cs.LG]Power Transformer Fault Diagnosis with Intrinsic Time-scale Decomposition and XGBoost Classifier
    Shoaib Meraj Sami, Mohammed Imamul Hassan Bhuiyan
    http://arxiv.org/abs/2110.11467v1

    • [cs.LG]Predictive machine learning for prescriptive applications: a coupled training-validating approach
    Ebrahim Mortaz, Alexander Vinel
    http://arxiv.org/abs/2110.11826v1

    • [cs.LG]ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI
    Samuel Hess, Gregory Ditzler
    http://arxiv.org/abs/2110.11597v1

    • [cs.LG]Safe rules for the identification of zeros in the solutions of the SLOPE problem
    Clément Elvira, Cédric Herzet
    http://arxiv.org/abs/2110.11784v1

    • [cs.LG]Sinkformers: Transformers with Doubly Stochastic Attention
    Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré
    http://arxiv.org/abs/2110.11773v1

    • [cs.LG]Variational Wasserstein Barycenters with c-Cyclical Monotonicity
    Jinjin Chi, Zhiyao Yang, Jihong Ouyang, Ximing Li
    http://arxiv.org/abs/2110.11707v1

    • [cs.LG]Wide Neural Networks Forget Less Catastrophically
    Seyed Iman Mirzadeh, Arslan Chaudhry, Huiyi Hu, Razvan Pascanu, Dilan Gorur, Mehrdad Farajtabar
    http://arxiv.org/abs/2110.11526v1

    • [cs.LO]Proceedings Third Workshop on Formal Methods for Autonomous Systems
    Marie Farrell, Matt Luckcuck
    http://arxiv.org/abs/2110.11527v1

    • [cs.NE]Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks
    Guobin Shen, Dongcheng Zhao, Yi Zeng
    http://arxiv.org/abs/2110.08858v2

    • [cs.NE]Explainable Landscape-Aware Optimization Performance Prediction
    Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korošec, Tome Eftimov
    http://arxiv.org/abs/2110.11633v1

    • [cs.RO]Action Planning for Packing Long Linear Elastic Objects into Compact Boxes with Bimanual Robotic Manipulation
    Wanyu Ma, Bin Zhang, Lijun Han, Shengzeng Huo, Hesheng Wang, David Navarro-Alarcon
    http://arxiv.org/abs/2110.11652v1

    • [cs.RO]CNN-based Omnidirectional Object Detection for HermesBot Autonomous Delivery Robot with Preliminary Frame Classification
    Saian Protasov, Pavel Karpyshev, Ivan Kalinov, Pavel Kopanev, Nikita Mikhailovskiy, Alexander Sedunin, Dzmitry Tsetserukou
    http://arxiv.org/abs/2110.11829v1

    • [cs.RO]Contact Anticipation for Physical Human-Robot Interaction with Robotic Manipulators using Onboard Proximity Sensors
    Caleb Escobedo, Matthew Strong, Mary West, Ander Aramburu, Alessandro Roncone
    http://arxiv.org/abs/2110.11516v1

    • [cs.RO]Handling Concurrency in Behavior Trees
    Michele Colledanchise, Lorenzo Natale
    http://arxiv.org/abs/2110.11813v1

    • [cs.RO]Learning Stable Vector Fields on Lie Groups
    Julen Urain, Davide Tateo, Jan Peters
    http://arxiv.org/abs/2110.11774v1

    • [cs.RO]ModEL: A Modularized End-to-end Reinforcement Learning Framework for Autonomous Driving
    Guan Wang, Haoyi Niu, Desheng Zhu, Jianming Hu, Xianyuan Zhan, Guyue Zhou
    http://arxiv.org/abs/2110.11573v1

    • [cs.RO]Real-Time Ground-Plane Refined LiDAR SLAM
    Fan Yang, Mengqing Jiang, Chenxi Xu
    http://arxiv.org/abs/2110.11517v1

    • [cs.RO]Soft Lattice Modules that Behave Independently and Collectively
    Luyang Zhao, Yijia Wu, Julien Blanchet, Maxine Perroni-Scharf, Xiaonan Huang, Joran Booth, Rebecca Kramer-Bottiglio, Devin Balkcom
    http://arxiv.org/abs/2110.11485v1

    • [cs.RO]Volumetric Data Fusion of External Depth and Onboard Proximity Data For Occluded Space Reduction
    Matthew Strong, Caleb Escobedo, Alessandro Roncone
    http://arxiv.org/abs/2110.11512v1

    • [cs.SD]Wav2CLIP: Learning Robust Audio Representations From CLIP
    Ho-Hsiang Wu, Prem Seetharaman, Kundan Kumar, Juan Pablo Bello
    http://arxiv.org/abs/2110.11499v1

    • [cs.SI]Grounding force-directed network layouts with latent space models
    Felix Gaisbauer, Armin Pournaki, Sven Banisch, Eckehard Olbrich
    http://arxiv.org/abs/2110.11772v1

    • [cs.SI]Look behind the Censorship: Reposting-User Characterization and Muted-Topic Restoration
    Yichi Qian, Qiyi Shan, Hanjia Lyu, Jiebo Luo
    http://arxiv.org/abs/2110.11919v1

    • [cs.SI]Multiwave COVID-19 Prediction via Social Awareness-Based Graph Neural Networks using Mobility and Web Search Data
    J. Xue, T. Yabe, K. Tsubouchi, J. Ma, S. V. Ukkusuri
    http://arxiv.org/abs/2110.11584v1

    • [cs.SI]Node package manager’s dependency network robustness
    Andrej Hafner, Anže Mur, Jaka Bernard
    http://arxiv.org/abs/2110.11695v1

    • [cs.SI]Node-based Generalized Friendship Paradox fails
    Anna Evtushenko, Jon Kleinberg
    http://arxiv.org/abs/2110.11821v1

    • [eess.AS]Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition
    Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel
    http://arxiv.org/abs/2110.11479v1

    • [eess.IV]HDRVideo-GAN: Deep Generative HDR Video Reconstruction
    Mrinal Anand, Nidhin Harilal, Chandan Kumar, Shanmuganathan Raman
    http://arxiv.org/abs/2110.11795v1

    • [eess.IV]MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images
    Shuai Jiang, Arief A. Suriawinata, Saeed Hassanpour
    http://arxiv.org/abs/2110.11558v1

    • [eess.IV]Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolution
    Jianjun Liu, Zebin Wu, Liang Xiao, Xiao-Jun Wu
    http://arxiv.org/abs/2110.11591v1

    • [eess.IV]Multimodal-Boost: Multimodal Medical Image Super-Resolution using Multi-Attention Network with Wavelet Transform
    Farah Deeba, Fayaz Ali Dharejo, Muhammad Zawish, Yuanchun Zhou, Kapal Dev, Sunder Ali Khowaja, Nawab Muhammad Faseeh Qureshi
    http://arxiv.org/abs/2110.11684v1

    • [eess.SP]Model-aided Geometrical Shaping of Dual-polarization 4D Formats in the Nonlinear Fiber Channel
    Gabriele Liga, Bin Chen, Alex Alvarado
    http://arxiv.org/abs/2110.11670v1

    • [eess.SY]An Adaptive Digital Autopilot for Fixed-Wing Aircraft with Actuator Faults
    Joonghyun Lee, John Spencer, Juan Augusto Paredes, Sai Ravela, Dennis S. Bernstein, Ankit Goel
    http://arxiv.org/abs/2110.11390v1

    • [math.AP]Fractional Modeling in Action: A Survey of Nonlocal Models for Subsurface Transport, Turbulent Flows, and Anomalous Materials
    Jorge Suzuki, Mamikon Gulian, Mohsen Zayernouri, Marta D’Elia
    http://arxiv.org/abs/2110.11531v1

    • [math.DS]Using scientific machine learning for experimental bifurcation analysis of dynamic systems
    Sandor Beregi, David A. W. Barton, Djamel Rezgui, Simon A. Neild
    http://arxiv.org/abs/2110.11854v1

    • [math.NA]Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations
    Nicholas Krämer, Jonathan Schmidt, Philipp Hennig
    http://arxiv.org/abs/2110.11847v1

    • [math.OC]A Fast and Accurate Splitting Method for Optimal Transport: Analysis and Implementation
    Vien V. Mai, Jacob Lindbäck, Mikael Johansson
    http://arxiv.org/abs/2110.11738v1

    • [math.OC]Projection-Free Algorithm for Stochastic Bi-level Optimization
    Zeeshan Akhtar, Amrit Singh Bedi, Srujan Teja Thomdapu, Ketan Rajawat
    http://arxiv.org/abs/2110.11721v1

    • [math.OC]Towards Noise-adaptive, Problem-adaptive Stochastic Gradient Descent
    Sharan Vaswani, Benjamin Dubois-Taine, Reza Babanezhad
    http://arxiv.org/abs/2110.11442v1

    • [math.ST]Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model
    Heejong Bong, Alessandro Rinaldo
    http://arxiv.org/abs/2110.11487v1

    • [math.ST]Testing network correlation efficiently via counting trees
    Cheng Mao, Yihong Wu, Jiaming Xu, Sophie H. Yu
    http://arxiv.org/abs/2110.11816v1

    • [physics.chem-ph]DQC: a Python program package for Differentiable Quantum Chemistry
    Muhammad F. Kasim, Susi Lehtola, Sam M. Vinko
    http://arxiv.org/abs/2110.11678v1

    • [physics.comp-ph]Computing the Invariant Distribution of Randomly Perturbed Dynamical Systems Using Deep Learning
    Bo Lin, Qianxiao Li, Weiqing Ren
    http://arxiv.org/abs/2110.11538v1

    • [physics.geo-ph]Deep Convolutional Autoencoders as Generic Feature Extractors in Seismological Applications
    Qingkai Kong, Andrea Chiang, Ana C. Aguiar, M. Giselle Fernández-Godino, Stephen C. Myers, Donald D. Lucas
    http://arxiv.org/abs/2110.11802v1

    • [physics.soc-ph]A Path-based Approach to Analyzing the Global Liner Shipping Network
    Timothy LaRock, Mengqiao Xu, Tina Eliassi-Rad
    http://arxiv.org/abs/2110.11925v1

    • [q-bio.NC]Cortico-cerebellar networks as decoupling neural interfaces
    Joseph Pemberton, Ellen Boven, Richard Apps, Rui Ponte Costa
    http://arxiv.org/abs/2110.11501v1

    • [q-bio.PE]Identifiability of local and global features of phylogenetic networks from average distances
    Jingcheng Xu, Cécile Ané
    http://arxiv.org/abs/2110.11814v1

    • [q-fin.CP]Clustering Market Regimes using the Wasserstein Distance
    Blanka Horvath, Zacharia Issa, Aitor Muguruza
    http://arxiv.org/abs/2110.11848v1

    • [q-fin.CP]Forecasting Financial Market Structure from Network Features using Machine Learning
    Douglas Castilho, Tharsis T. P. Souza, Soong Moon Kang, João Gama, André C. P. L. F. de Carvalho
    http://arxiv.org/abs/2110.11751v
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    • [q-fin.CP]Forecasting Financial Market Structure from Network Features using Machine Learning
    Douglas Castilho, Tharsis T. P. Souza, Soong Moon Kang, João Gama, André C. P. L. F. de Carvalho
    http://arxiv.org/abs/2110.11751v1

    • [quant-ph]Climbing the Diagonal Clifford Hierarchy
    Jingzhen Hu, Qingzhong Liang, Robert Calderbank
    http://arxiv.org/abs/2110.11923v1

    • [stat.AP]Multimodel Bayesian Analysis of Load Duration Effects in Lumber Reliability
    Yunfeng Yang, Martin Lysy, Samuel W. K. Wong
    http://arxiv.org/abs/2110.11896v1

    • [stat.AP]Variational Bayesian Approximation of Inverse Problems using Sparse Precision Matrices
    Jan Povala, Ieva Kazlauskaite, Eky Febrianto, Fehmi Cirak, Mark Girolami
    http://arxiv.org/abs/2110.11840v1

    • [stat.CO]Missing the Point: Non-Convergence in Iterative Imputation Algorithms
    Hanne Ida Oberman, Stef van Buuren, Gerko Vink
    http://arxiv.org/abs/2110.11951v1

    • [stat.CO]Statistical Finite Elements via Langevin Dynamics
    Ömer Deniz Akyildiz, Connor Duffin, Sotirios Sabanis, Mark Girolami
    http://arxiv.org/abs/2110.11131v1

    • [stat.ME]Additive Density-on-Scalar Regression in Bayes Hilbert Spaces with an Application to Gender Economics
    Eva-Maria Maier, Almond Stöcker, Bernd Fitzenberger, Sonja Greven
    http://arxiv.org/abs/2110.11771v1

    • [stat.ME]Combining Parametric and Nonparametric Models to Estimate Treatment Effects in Observational Studies
    Daniel Daly-Grafstein, Paul Gustafson
    http://arxiv.org/abs/2110.11349v1

    • [stat.ME]L-2 Regularized maximum likelihood for 今日学术视野(2021.10.26) - 图8-model in large and sparse networks
    Yu Zhang, Qiuping Wang, Yuan Zhang, Ting Yan, Jing Luo
    http://arxiv.org/abs/2110.11856v1

    • [stat.ME]Merging Two Cultures: Deep and Statistical Learning
    Anindya Bhadra, Jyotishka Datta, Nick Polson, Vadim Sokolov, Jianeng Xu
    http://arxiv.org/abs/2110.11561v1

    • [stat.ME]Temporal Point Process Graphical Models
    Yalong Lyu, Huiyuan Wang, Wei Lin
    http://arxiv.org/abs/2110.11562v1

    • [stat.ME]Validation of point process predictions with proper scoring rules
    Claudio Heinrich-Mertsching, Thordis L. Thorarinsdottir, Peter Guttorp, Max Schneider
    http://arxiv.org/abs/2110.11803v1

    • [stat.ML]Conditioning of Random Feature Matrices: Double Descent and Generalization Error
    Zhijun Chen, Hayden Schaeffer
    http://arxiv.org/abs/2110.11477v1

    • [stat.ML]Probabilistic ODE Solutions in Millions of Dimensions
    Nicholas Krämer, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig
    http://arxiv.org/abs/2110.11812v1

    • [stat.ML]Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning
    Soufiane Hayou, Bobby He, Gintare Karolina Dziugaite
    http://arxiv.org/abs/2110.11804v1

    • [stat.ML]Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models — Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops
    Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit, Denis Kouamé, Guillaume Rieu, Jean-Yves Tourneret
    http://arxiv.org/abs/2110.11780v1

    • [stat.ML]The Equilibrium Hypothesis: Rethinking implicit regularization in Deep Neural Networks
    Yizhang Lou, Chris Mingard, Soufiane Hayou
    http://arxiv.org/abs/2110.11749v1