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]CNet: 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]UBRS: 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 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 -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]CNet: 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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• [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]UBRS: 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 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 -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