astro-ph.IM - 仪器仪表和天体物理学方法
cond-mat.mtrl-sci - 材料科学
cs.AI - 人工智能
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.DS - 数据结构与算法
cs.GR - 计算机图形学
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MM - 多媒体
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.IV - 图像与视频处理
eess.SP - 信号处理
hep-lat - 高能物理晶格
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
physics.data-an - 数据分析、 统计和概率
physics.ins-det - 仪器和探测器
physics.soc-ph - 物理学与社会
q-bio.NC - 神经元与认知
q-fin.PR - 证券定价
quant-ph - 量子物理
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [astro-ph.IM]Identifying mass composition of ultra-high-energy cosmic rays using deep learning
• [cond-mat.mtrl-sci]Dynamic fracture of a bicontinuously nanostructured copolymer: A deep learning analysis of big-data-generating experiment
• [cs.AI]A network analysis of decision strategies of human experts in steel manufacturing
• [cs.AI]An Analytical Update Rule for General Policy Optimization
• [cs.AI]An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images
• [cs.AI]Combining Sub-Symbolic and Symbolic Methods for Explainability
• [cs.AI]Heuristic Search Planning with Deep Neural Networks using Imitation, Attention and Curriculum Learning
• [cs.AI]Neurosymbolic Systems of Perception & Cognition: The Role of Attention
• [cs.AI]Prescriptive Process Monitoring: Quo Vadis?
• [cs.CL]Augmenting Customer Support with an NLP-based Receptionist
• [cs.CL]BBS-KWS:The Mandarin Keyword Spotting System Won the Video Keyword Wakeup Challenge
• [cs.CL]Creating and Managing a large annotated parallel corpora of Indian languages
• [cs.CL]Evaluating NLP Systems On a Novel Cloze Task: Judging the Plausibility of Possible Fillers in Instructional Texts
• [cs.CL]Evaluator for Emotionally Consistent Chatbots
• [cs.CL]HS-BAN: A Benchmark Dataset of Social Media Comments for Hate Speech Detection in Bangla
• [cs.CL]InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation
• [cs.CL]LongChecker: Improving scientific claim verification by modeling full-abstract context
• [cs.CL]MetaQA: Combining Expert Agents for Multi-Skill Question Answering
• [cs.CL]Multilingual Text Classification for Dravidian Languages
• [cs.CL]Multitask Finetuning for Improving Neural Machine Translation in Indian Languages
• [cs.CL]PLSUM: Generating PT-BR Wikipedia by Summarizing Multiple Websites
• [cs.CL]Probing Linguistic Information For Logical Inference In Pre-trained Language Models
• [cs.CL]Semantic Segmentation of Legal Documents via Rhetorical Roles
• [cs.CL]Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts
• [cs.CL]Survey on English Entity Linking on Wikidata
• [cs.CL]The Catalan Language CLUB
• [cs.CL]The Influence of Data Pre-processing and Post-processing on Long Document Summarization
• [cs.CL]TransCouplet:Transformer based Chinese Couplet Generation
• [cs.CL]Translating Politeness Across Cultures: Case of Hindi and English
• [cs.CR]Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach
• [cs.CV]A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples
• [cs.CV]A Systematic IoU-Related Method: Beyond Simplified Regression for Better Localization
• [cs.CV]Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset)
• [cs.CV]Adaptive Poincaré Point to Set Distance for Few-Shot Classification
• [cs.CV]Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector
• [cs.CV]AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration
• [cs.CV]Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning
• [cs.CV]Bridging the Gap: Point Clouds for Merging Neurons in Connectomics
• [cs.CV]Class-agnostic Reconstruction of Dynamic Objects from Videos
• [cs.CV]CoNeRF: Controllable Neural Radiance Fields
• [cs.CV]Deep Depth from Focus with Differential Focus Volume
• [cs.CV]Detect Faces Efficiently: A Survey and Evaluations
• [cs.CV]Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer
• [cs.CV]Frame Averaging for Equivariant Shape Space Learning
• [cs.CV]FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization
• [cs.CV]Geometric Feature Learning for 3D Meshes
• [cs.CV]Gesture Recognition with a Skeleton-Based Keyframe Selection Module
• [cs.CV]Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation
• [cs.CV]Hamiltonian prior to Disentangle Content and Motion in Image Sequences
• [cs.CV]Hierarchical Optimal Transport for Unsupervised Domain Adaptation
• [cs.CV]Hybrid Instance-aware Temporal Fusion for Online Video Instance Segmentation
• [cs.CV]Image-to-image Translation as a Unique Source of Knowledge
• [cs.CV]Incremental Learning in Semantic Segmentation from Image Labels
• [cs.CV]Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
• [cs.CV]LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences
• [cs.CV]Learning to Detect Every Thing in an Open World
• [cs.CV]MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection
• [cs.CV]MSP : Refine Boundary Segmentation via Multiscale Superpixel
• [cs.CV]Make A Long Image Short: Adaptive Token Length for Vision Transformers
• [cs.CV]Mind Your Clever Neighbours: Unsupervised Person Re-identification via Adaptive Clustering Relationship Modeling
• [cs.CV]Multi-modal application: Image Memes Generation
• [cs.CV]NeRF-SR: High-Quality Neural Radiance Fields using Super-Sampling
• [cs.CV]Novel Class Discovery in Semantic Segmentation
• [cs.CV]Panoptic-based Object Style-Align for Image-to-Image Translation
• [cs.CV]Probabilistic Tracking with Deep Factors
• [cs.CV]ROCA: Robust CAD Model Retrieval and Alignment from a Single Image
• [cs.CV]SGM3D: Stereo Guided Monocular 3D Object Detection
• [cs.CV]Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks
• [cs.CV]Semantic Map Injected GAN Training for Image-to-Image Translation
• [cs.CV]Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks
• [cs.CV]TRNR: Task-Driven Image Rain and Noise Removal with a Few Images Based on Patch Analysis
• [cs.CV]The Box Size Confidence Bias Harms Your Object Detector
• [cs.CV]Total Scale: Face-to-Body Detail Reconstruction from Sparse RGBD Sensors
• [cs.CV]TransZero: Attribute-guided Transformer for Zero-Shot Learning
• [cs.CV]Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior
• [cs.CY]A Large Scale Study of Reader Interactions with Images on Wikipedia
• [cs.CY]Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution
• [cs.CY]Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises
• [cs.DC]Genetic-based optimization in Fog Computing: current trends and research opportunities
• [cs.DL]LDA2Net: Digging under the surface of COVID-19 topics in scientific literature
• [cs.DS]Explicit Abelian Lifts and Quantum LDPC Codes
• [cs.DS]Online Search With Best-Price and Query-Based Predictions
• [cs.GR]Fast Neural Representations for Direct Volume Rendering
• [cs.HC]Dynamic Bayesian Network Modelling of User Affect and Perceptions of a Teleoperated Robot Coach during Longitudinal Mindfulness Training
• [cs.HC]MaxRay: A Raytracing-based Integrated Sensing and Communication Framework
• [cs.IR]Given Users Recommendations Based on Reviews on Yelp
• [cs.IR]Siamese BERT-based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset
• [cs.IR]Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation
• [cs.IR]User-click Modelling for Predicting Purchase Intent
• [cs.IT]Achieving the Capacity of a DNA Storage Channel with Linear Coding Schemes
• [cs.IT]Fixed-Gain AF Relaying for RF-THz Wireless System over -- Shadowed and - Channels
• [cs.IT]Introduction to Logical Entropy and its Relationship to Shannon Entropy
• [cs.IT]Joint User Scheduling and Beamforming Design for Multiuser MISO Downlink Systems
• [cs.IT]Learning Emergent Random Access Protocol for LEO Satellite Networks
• [cs.IT]Learning to Broadcast for Ultra-Reliable Communication with Differential Quality of Service via the Conditional Value at Risk
• [cs.IT]Low-Resolution Massive MIMO Under Hardware Power Consumption Constraints
• [cs.LG]A Communication-efficient Federated learning assisted by Central data: Implementation of vertical training into Horizontal Federated learning
• [cs.LG]A Flexible HLS Hoeffding Tree Implementation for Runtime Learning on FPGA
• [cs.LG]A Structured Dictionary Perspective on Implicit Neural Representations
• [cs.LG]A Survey on Concept Drift in Process Mining
• [cs.LG]Application of Machine Learning in understanding plant virus pathogenesis: Trends and perspectives on emergence, diagnosis, host-virus interplay and management
• [cs.LG]Attack-Centric Approach for Evaluating Transferability of Adversarial Samples in Machine Learning Models
• [cs.LG]Causal-based Time Series Domain Generalization for Vehicle Intention Prediction
• [cs.LG]Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems
• [cs.LG]Context-Aware Online Client Selection for Hierarchical Federated Learning
• [cs.LG]Contrastive Continual Learning with Feature Propagation
• [cs.LG]Data-Free Neural Architecture Search via Recursive Label Calibration
• [cs.LG]Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing
• [cs.LG]Discovery of Crime Event Sequences with Constricted Spatio-Temporal Sequential Patterns
• [cs.LG]Enhancing Deep Neural Networks Testing by Traversing Data Manifold
• [cs.LG]Episodic Policy Gradient Training
• [cs.LG]Estimating the Value-at-Risk by Temporal VAE
• [cs.LG]Fast Projected Newton-like Method for Precision Matrix Estimation with Nonnegative Partial Correlations
• [cs.LG]Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study
• [cs.LG]Hybrid Digital Twin for process industry using Apros simulation environment
• [cs.LG]I-WKNN: Fast-Speed and High-Accuracy WIFI Positioning for Intelligent Stadiums
• [cs.LG]Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents
• [cs.LG]In situ process quality monitoring and defect detection for direct metal laser melting
• [cs.LG]Linear algebra with transformers
• [cs.LG]Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis
• [cs.LG]On the Existence of the Adversarial Bayes Classifier (Extended Version)
• [cs.LG]Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services
• [cs.LG]Prediction of Household-level Heat-Consumption using PSO enhanced SVR Model
• [cs.LG]Probabilistic Contrastive Loss for Self-Supervised Learning
• [cs.LG]Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
• [cs.LG]Reinforcement Learning-Based Automatic Berthing System
• [cs.LG]SSDL: Self-Supervised Dictionary Learning
• [cs.LG]TC-GNN: Accelerating Sparse Graph Neural Network Computation Via Dense Tensor Core on GPUs
• [cs.LG]Table2Vec: Automated Universal Representation Learning to Encode All-round Data DNA for Benchmarkable and Explainable Enterprise Data Science
• [cs.LG]The Representation Jensen-Renyí Divergence
• [cs.LG]The UniNAS framework: combining modules in arbitrarily complex configurations with argument trees
• [cs.LG]You Can’t See the Forest for Its Trees: Assessing Deep Neural Network Testing via NeuraL Coverage
• [cs.MM]Lightweight Attentional Feature Fusion for Video Retrieval by Text
• [cs.MM]Malakai: Music That Adapts to the Shape of Emotions
• [cs.RO]A Survey of Robot Manipulation in Contact
• [cs.RO]Active Inference in Robotics and Artificial Agents: Survey and Challenges
• [cs.RO]Coupling Vision and Proprioception for Navigation of Legged Robots
• [cs.RO]Emergency-braking Distance Prediction using Deep Learning
• [cs.RO]Fast Direct Stereo Visual SLAM
• [cs.RO]GelTip Tactile Sensor for Dexterous Manipulation in Clutter
• [cs.RO]Improving the Robustness of Reinforcement Learning Policies with Adaptive Control
• [cs.RO]Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU
• [cs.RO]Reducing Tactile Sim2Real Domain Gaps via Deep Texture Generation Networks
• [cs.RO]Snake Robot Gait Decomposition and Gait Parameter Optimization
• [cs.SD]Blackbox Untargeted Adversarial Testing of Automatic Speech Recognition Systems
• [cs.SD]Music-to-Dance Generation with Optimal Transport
• [cs.SE]Characterizing Performance Bugs in Deep Learning Systems
• [cs.SE]Multilingual training for Software Engineering
• [cs.SI]Comparative Theoretical Analysis of Medial Centrality Measures
• [econ.EM]Inference for ROC Curves Based on Estimated Predictive Indices
• [eess.IV]Detection of Large Vessel Occlusions using Deep Learning by Deforming Vessel Tree Segmentations
• [eess.IV]Engineering AI Tools for Systematic and Scalable Quality Assessment in Magnetic Resonance Imaging
• [eess.IV]Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identification
• [eess.IV]Localized Feature Aggregation Module for Semantic Segmentation
• [eess.IV]MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification
• [eess.IV]Quantifying the uncertainty of neural networks using Monte Carlo dropout for deep learning based quantitative MRI
• [eess.IV]Towards Super-Resolution CEST MRI for Visualization of Small Structures
• [eess.SP]Scale up to infinity: the UWB Indoor Global Positioning System
• [hep-lat]Grid on QPACE 4
• [math.NA]Fast optimal mass transport via reduced basis methods for the Monge-Ampre equation
• [math.OC]Regularized Newton Method with Global #card=math&code=O%281%2Fk%5E2%29&id=HYyu0) Convergence
• [math.OC]Residual-Based Adaptive Coefficient and Noise-Immunity ZNN for Perturbed Time-Dependent Quadratic Minimization
• [math.ST]Empirical phi-divergence test statistics in the logistic regression model
• [math.ST]Recovering Hölder smooth functions from noisy modulo samples
• [physics.data-an]The Linear Template Fit
• [physics.ins-det]Graph Neural Networks for Charged Particle Tracking on FPGAs
• [physics.soc-ph]Mobility signatures: a tool for characterizing cities using intercity mobility flows
• [q-bio.NC]Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning
• [q-fin.PR]Reinforcement learning for options on target volatility funds
• [quant-ph]Classical computation of quantum guesswork
• [stat.CO]Computation of conditional expectations with guarantees
• [stat.ME]A Gaussian copula joint model for longitudinal and time-to-event data with random effects
• [stat.ME]Bayesian nonparametric strategies for power maximization in rare variants association studies
• [stat.ME]Change-point detection in the covariance kernel of functional data using data depth
• [stat.ME]Clustering Areal Units at Multiple Levels of Resolution to Model Crime Incidence in Philadelphia
• [stat.ME]Data-driven stabilizations of goodness-of-fit tests
• [stat.ME]On the Reliability of Multiple Systems Estimation for the Quantification of Modern Slavery
• [stat.ME]Optimized variance estimation under interference and complex experimental designs
• [stat.ME]Power analysis for cluster randomized trials with continuous co-primary endpoints
• [stat.ML]Bayes in Wonderland! Predictive supervised classification inference hits unpredictability
• [stat.ML]Chronological Causal Bandits
• [stat.ML]Dimension-Free Average Treatment Effect Inference with Deep Neural Networks
• [stat.ML]Invariant Priors for Bayesian Quadrature
• [stat.ML]Learning Curves for Sequential Training of Neural Networks: Self-Knowledge Transfer and Forgetting
• [stat.ML]Near-optimal estimation of smooth transport maps with kernel sums-of-squares
·····································
• [astro-ph.IM]Identifying mass composition of ultra-high-energy cosmic rays using deep learning
O. Kalashev, I. Kharuk, M. Kuznetsov, G. Rubtsov, T. Sako, Y. Tsunesada, Ya. Zhezher
http://arxiv.org/abs/2112.02072v1
• [cond-mat.mtrl-sci]Dynamic fracture of a bicontinuously nanostructured copolymer: A deep learning analysis of big-data-generating experiment
Hanxun Jin, Rodney J. Clifton, Kyung-Suk Kim
http://arxiv.org/abs/2112.01971v1
• [cs.AI]A network analysis of decision strategies of human experts in steel manufacturing
Daniel Christopher Merten, Prof. Dr. Marc-Thorsten Hütt, Prof. Dr. Yilmaz Uygun
http://arxiv.org/abs/2112.01991v1
• [cs.AI]An Analytical Update Rule for General Policy Optimization
Hepeng Li, Nicholas Clavette, Haibo He
http://arxiv.org/abs/2112.02045v1
• [cs.AI]An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images
Zekun Li, Yao-Yi Chiang, Sasan Tavakkol, Basel Shbita, Johannes H. Uhl, Stefan Leyk, Craig A. Knoblock
http://arxiv.org/abs/2112.01671v1
• [cs.AI]Combining Sub-Symbolic and Symbolic Methods for Explainability
Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas Runkler
http://arxiv.org/abs/2112.01844v1
• [cs.AI]Heuristic Search Planning with Deep Neural Networks using Imitation, Attention and Curriculum Learning
Leah Chrestien, Tomas Pevny, Antonin Komenda, Stefan Edelkamp
http://arxiv.org/abs/2112.01918v1
• [cs.AI]Neurosymbolic Systems of Perception & Cognition: The Role of Attention
Hugo Latapie, Ozkan Kilic, Kristinn R. Thorisson, Pei Wang, Patrick Hammer
http://arxiv.org/abs/2112.01603v1
• [cs.AI]Prescriptive Process Monitoring: Quo Vadis?
Kateryna Kubrak, Fredrik Milani, Alexander Nolte, Marlon Dumas
http://arxiv.org/abs/2112.01769v1
• [cs.CL]Augmenting Customer Support with an NLP-based Receptionist
André Barbosa, Alan Godoy
http://arxiv.org/abs/2112.01959v1
• [cs.CL]BBS-KWS:The Mandarin Keyword Spotting System Won the Video Keyword Wakeup Challenge
Yuting Yang, Binbin Du, Yingxin Zhang, Wenxuan Wang, Yuke Li
http://arxiv.org/abs/2112.01757v1
• [cs.CL]Creating and Managing a large annotated parallel corpora of Indian languages
Ritesh Kumar, Shiv Bhusan Kaushik, Pinkey Nainwani, Girish Nath Jha
http://arxiv.org/abs/2112.01764v1
• [cs.CL]Evaluating NLP Systems On a Novel Cloze Task: Judging the Plausibility of Possible Fillers in Instructional Texts
Zizhao Hu, Ravikiran Chanumolu, Xingyu Lin, Nayela Ayaz, Vincent Chi
http://arxiv.org/abs/2112.01867v1
• [cs.CL]Evaluator for Emotionally Consistent Chatbots
Chenxiao Liu, Guanzhi Deng, Tao Ji, Difei Tang, Silai Zheng
http://arxiv.org/abs/2112.01616v1
• [cs.CL]HS-BAN: A Benchmark Dataset of Social Media Comments for Hate Speech Detection in Bangla
Nauros Romim, Mosahed Ahmed, Md Saiful Islam, Arnab Sen Sharma, Hriteshwar Talukder, Mohammad Ruhul Amin
http://arxiv.org/abs/2112.01902v1
• [cs.CL]InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation
Pierre Colombo, Chloe Clave, Pablo Piantanida
http://arxiv.org/abs/2112.01589v1
• [cs.CL]LongChecker: Improving scientific claim verification by modeling full-abstract context
David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi
http://arxiv.org/abs/2112.01640v1
• [cs.CL]MetaQA: Combining Expert Agents for Multi-Skill Question Answering
Haritz Puerto, Gözde Gül Şahin, Iryna Gurevych
http://arxiv.org/abs/2112.01922v1
• [cs.CL]Multilingual Text Classification for Dravidian Languages
Xiaotian Lin, Nankai Lin, Kanoksak Wattanachote, Shengyi Jiang, Lianxi Wang
http://arxiv.org/abs/2112.01705v1
• [cs.CL]Multitask Finetuning for Improving Neural Machine Translation in Indian Languages
Shaily Desai, Atharva Kshirsagar, Manisha Marathe
http://arxiv.org/abs/2112.01742v1
• [cs.CL]PLSUM: Generating PT-BR Wikipedia by Summarizing Multiple Websites
André Seidel Oliveira, Anna Helena Reali Costa
http://arxiv.org/abs/2112.01591v1
• [cs.CL]Probing Linguistic Information For Logical Inference In Pre-trained Language Models
Zeming Chen, Qiyue Gao
http://arxiv.org/abs/2112.01753v1
• [cs.CL]Semantic Segmentation of Legal Documents via Rhetorical Roles
Vijit Malik, Rishabh Sanjay, Shouvik Kumar Guha, Shubham Kumar Nigam, Angshuman Hazarika, Arnab Bhattacharya, Ashutosh Modi
http://arxiv.org/abs/2112.01836v1
• [cs.CL]Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts
Harsh Agarwal, Keshav Bansal, Abhinav Joshi, Ashutosh Modi
http://arxiv.org/abs/2112.01938v1
• [cs.CL]Survey on English Entity Linking on Wikidata
Cedric Möller, Jens Lehmann, Ricardo Usbeck
http://arxiv.org/abs/2112.01989v1
• [cs.CL]The Catalan Language CLUB
Carlos Rodriguez-Penagos, Carme Armentano-Oller, Marta Villegas, Maite Melero, Aitor Gonzalez, Ona de Gibert Bonet, Casimiro Carrino Pio
http://arxiv.org/abs/2112.01894v1
• [cs.CL]The Influence of Data Pre-processing and Post-processing on Long Document Summarization
Xinwei Du, Kailun Dong, Yuchen Zhang, Yongsheng Li, Ruei-Yu Tsay
http://arxiv.org/abs/2112.01660v1
• [cs.CL]TransCouplet:Transformer based Chinese Couplet Generation
Kuan-Yu Chiang, Shihao Lin, Joe Chen, Qian Yin, Qizhen Jin
http://arxiv.org/abs/2112.01707v1
• [cs.CL]Translating Politeness Across Cultures: Case of Hindi and English
Ritesh Kumar, Girish Nath Jha
http://arxiv.org/abs/2112.01822v1
• [cs.CR]Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach
James Lee Hu, Mohammadreza Ebrahimi, Hsinchun Chen
http://arxiv.org/abs/2112.01724v1
• [cs.CV]A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples
Sen Jia, Shuguo Jiang, Zhijie Lin, Nanying Li, Meng Xu, Shiqi Yu
http://arxiv.org/abs/2112.01800v1
• [cs.CV]A Systematic IoU-Related Method: Beyond Simplified Regression for Better Localization
Hanyang Peng, Shiqi Yu
http://arxiv.org/abs/2112.01793v1
• [cs.CV]Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset)
Yuchi Liu, Zhongdao Wang, Tom Gedeon, Liang Zheng
http://arxiv.org/abs/2112.01730v1
• [cs.CV]Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi
http://arxiv.org/abs/2112.01719v1
• [cs.CV]Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector
Andrew Du, Yee Wei Law, Michele Sasdelli, Bo Chen, Ken Clarke, Michael Brown, Tat-Jun Chin
http://arxiv.org/abs/2112.01723v1
• [cs.CV]AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration
Bowen Li, Chen Wang, Pranay Reddy, Seungchan Kim, Sebastian Scherer
http://arxiv.org/abs/2112.01740v1
• [cs.CV]Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning
Shengjia Zhang, Tiancheng Lin, Yi Xu
http://arxiv.org/abs/2112.01948v1
• [cs.CV]Bridging the Gap: Point Clouds for Merging Neurons in Connectomics
Jules Berman, Dmitri B. Chklovskii, Jingpeng Wu
http://arxiv.org/abs/2112.02039v1
• [cs.CV]Class-agnostic Reconstruction of Dynamic Objects from Videos
Zhongzheng Ren, Xiaoming Zhao, Alexander G. Schwing
http://arxiv.org/abs/2112.02091v1
• [cs.CV]CoNeRF: Controllable Neural Radiance Fields
Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzciński, Andrea Taliasacchi
http://arxiv.org/abs/2112.01983v1
• [cs.CV]Deep Depth from Focus with Differential Focus Volume
Fengting Yang, Xiaolei Huang, Zihan Zhou
http://arxiv.org/abs/2112.01712v1
• [cs.CV]Detect Faces Efficiently: A Survey and Evaluations
Yuantao Feng, Shiqi Yu, Hanyang Peng, Yan-Ran Li, Jianguo Zhang
http://arxiv.org/abs/2112.01787v1
• [cs.CV]Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer
Frederic Z. Zhang, Dylan Campbell, Stephen Gould
http://arxiv.org/abs/2112.01838v1
• [cs.CV]Frame Averaging for Equivariant Shape Space Learning
Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron Lipman
http://arxiv.org/abs/2112.01741v1
• [cs.CV]FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization
Xingchao Liu, Chengyue Gong, Lemeng Wu, Shujian Zhang, Hao Su, Qiang Liu
http://arxiv.org/abs/2112.01573v1
• [cs.CV]Geometric Feature Learning for 3D Meshes
Huan Lei, Naveed Akhtar, Mubarak Shah, Ajmal Mian
http://arxiv.org/abs/2112.01801v1
• [cs.CV]Gesture Recognition with a Skeleton-Based Keyframe Selection Module
Yunsoo Kim, Hyun Myung
http://arxiv.org/abs/2112.01736v1
• [cs.CV]Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation
Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, P. N. Suganthan
http://arxiv.org/abs/2112.01799v1
• [cs.CV]Hamiltonian prior to Disentangle Content and Motion in Image Sequences
Asif Khan, Amos Storkey
http://arxiv.org/abs/2112.01641v1
• [cs.CV]Hierarchical Optimal Transport for Unsupervised Domain Adaptation
Mourad El Hamri, Younès Bennani, Issam Falih, Hamid Ahaggach
http://arxiv.org/abs/2112.02073v1
• [cs.CV]Hybrid Instance-aware Temporal Fusion for Online Video Instance Segmentation
Xiang Li, Jinglu Wang, Xiao Li, Yan Lu
http://arxiv.org/abs/2112.01695v1
• [cs.CV]Image-to-image Translation as a Unique Source of Knowledge
Alejandro D. Mousist
http://arxiv.org/abs/2112.01873v1
• [cs.CV]Incremental Learning in Semantic Segmentation from Image Labels
Fabio Cermelli, Dario Fontanel, Antonio Tavera, Marco Ciccone, Barbara Caputo
http://arxiv.org/abs/2112.01882v1
• [cs.CV]Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
Peter Lorenz, Dominik Strassel, Margret Keuper, Janis Keuper
http://arxiv.org/abs/2112.01601v1
• [cs.CV]LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences
Ziwang Fu, Feng Liu, Hanyang Wang, Siyuan Shen, Jiahao Zhang, Jiayin Qi, Xiangling Fu, Aimin Zhou
http://arxiv.org/abs/2112.01697v1
• [cs.CV]Learning to Detect Every Thing in an Open World
Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko
http://arxiv.org/abs/2112.01698v1
• [cs.CV]MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection
Yongri Piao, Jian Wang, Miao Zhang, Huchuan Lu
http://arxiv.org/abs/2112.01732v1
• [cs.CV]MSP : Refine Boundary Segmentation via Multiscale Superpixel
Jie Zhu, Huabin Huang, Banghuai Li, Yong Liu, Leye Wang
http://arxiv.org/abs/2112.01746v1
• [cs.CV]Make A Long Image Short: Adaptive Token Length for Vision Transformers
Yichen Zhu, Yuqin Zhu, Jie Du, Yi Wang, Zhicai Ou, Feifei Feng, Jian Tang
http://arxiv.org/abs/2112.01686v1
• [cs.CV]Mind Your Clever Neighbours: Unsupervised Person Re-identification via Adaptive Clustering Relationship Modeling
Lianjie Jia, Chenyang Yu, Xiehao Ye, Tianyu Yan, Yinjie Lei, Pingping Zhang
http://arxiv.org/abs/2112.01839v1
• [cs.CV]Multi-modal application: Image Memes Generation
Zhiyuan Liu, Chuanzheng Sun, Yuxin Jiang, Shiqi Jiang, Mei Ming
http://arxiv.org/abs/2112.01651v1
• [cs.CV]NeRF-SR: High-Quality Neural Radiance Fields using Super-Sampling
Chen Wang, Xian Wu, Yuan-Chen Guo, Song-Hai Zhang, Yu-Wing Tai, Shi-Min Hu
http://arxiv.org/abs/2112.01759v1
• [cs.CV]Novel Class Discovery in Semantic Segmentation
Yuyang Zhao, Zhun Zhong, Nicu Sebe, Gim Hee Lee
http://arxiv.org/abs/2112.01900v1
• [cs.CV]Panoptic-based Object Style-Align for Image-to-Image Translation
Liyun Zhang, Photchara Ratsamee, Bowen Wang, Manabu Higashida, Yuki Uranishi, Haruo Takemura
http://arxiv.org/abs/2112.01926v1
• [cs.CV]Probabilistic Tracking with Deep Factors
Fan Jiang, Andrew Marmon, Ildebrando De Courten, Marc Rasi, Frank Dellaert
http://arxiv.org/abs/2112.01609v1
• [cs.CV]ROCA: Robust CAD Model Retrieval and Alignment from a Single Image
Can Gümeli, Angela Dai, Matthias Nießner
http://arxiv.org/abs/2112.01988v1
• [cs.CV]SGM3D: Stereo Guided Monocular 3D Object Detection
Zheyuan Zhou, Liang Du, Xiaoqing Ye, Zhikang Zou, Xiao Tan, Errui Ding, Li Zhang, Xiangyang Xue, Jianfeng Feng
http://arxiv.org/abs/2112.01914v1
• [cs.CV]Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks
Peri Akiva, Matthew Purri, Matthew Leotta
http://arxiv.org/abs/2112.01715v1
• [cs.CV]Semantic Map Injected GAN Training for Image-to-Image Translation
Balaram Singh Kshatriya, Shiv Ram Dubey, Himangshu Sarma, Kunal Chaudhary, Meva Ram Gurjar, Rahul Rai, Sunny Manchanda
http://arxiv.org/abs/2112.01845v1
• [cs.CV]Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks
Yang Li, Yuichi Tanaka
http://arxiv.org/abs/2112.01714v1
• [cs.CV]TRNR: Task-Driven Image Rain and Noise Removal with a Few Images Based on Patch Analysis
Wu Ran, Bohong Yang, Peirong Ma, Hong Lu
http://arxiv.org/abs/2112.01924v1
• [cs.CV]The Box Size Confidence Bias Harms Your Object Detector
Johannes Gilg, Torben Teepe, Fabian Herzog, Gerhard Rigoll
http://arxiv.org/abs/2112.01901v1
• [cs.CV]Total Scale: Face-to-Body Detail Reconstruction from Sparse RGBD Sensors
Zheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson W. H. Lau
http://arxiv.org/abs/2112.02082v1
• [cs.CV]TransZero: Attribute-guided Transformer for Zero-Shot Learning
Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You
http://arxiv.org/abs/2112.01683v1
• [cs.CV]Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior
Feng Zhang, Yuanjie Shao, Yishi Sun, Kai Zhu, Changxin Gao, Nong Sang
http://arxiv.org/abs/2112.01766v1
• [cs.CY]A Large Scale Study of Reader Interactions with Images on Wikipedia
Daniele Rama, Tiziano Piccardi, Miriam Redi, Rossano Schifanella
http://arxiv.org/abs/2112.01868v1
• [cs.CY]Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution
Sahan Bulathwela, María Pérez-Ortiz, Catherine Holloway, John Shawe-Taylor
http://arxiv.org/abs/2112.02034v1
• [cs.CY]Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises
Valdemar Švábenský, Richard Weiss, Jack Cook, Jan Vykopal, Pavel Čeleda, Jens Mache, Radoslav Chudovský, Ankur Chattopadhyay
http://arxiv.org/abs/2112.02053v1
• [cs.DC]Genetic-based optimization in Fog Computing: current trends and research opportunities
Carlos Guerrero, Isaac Lera, Carlos Juiz
http://arxiv.org/abs/2112.01958v1
• [cs.DL]LDA2Net: Digging under the surface of COVID-19 topics in scientific literature
Giorgia Minello, Carlo R. M. A. Santagiustina, Massimo Warglien
http://arxiv.org/abs/2112.01181v2
• [cs.DS]Explicit Abelian Lifts and Quantum LDPC Codes
Fernando Granha Jeronimo, Tushant Mittal, Ryan O’Donnell, Pedro Paredes, Madhur Tulsiani
http://arxiv.org/abs/2112.01647v1
• [cs.DS]Online Search With Best-Price and Query-Based Predictions
Spyros Angelopoulos, Shahin Kamali, Dehou Zhang
http://arxiv.org/abs/2112.01592v1
• [cs.GR]Fast Neural Representations for Direct Volume Rendering
Sebastian Weiss, Philipp Hermüller, Rüdiger Westermann
http://arxiv.org/abs/2112.01579v1
• [cs.HC]Dynamic Bayesian Network Modelling of User Affect and Perceptions of a Teleoperated Robot Coach during Longitudinal Mindfulness Training
Indu P. Bodala, Hatice Gunes
http://arxiv.org/abs/2112.02017v1
• [cs.HC]MaxRay: A Raytracing-based Integrated Sensing and Communication Framework
M. Arnold, M. Bauhofer, S. Mandelli, M. Henninger, F. Schaich, T. Wild, S. ten Brink
http://arxiv.org/abs/2112.01751v1
• [cs.IR]Given Users Recommendations Based on Reviews on Yelp
Shuwei Zhang, Maiqi Tang, Qingyang Zhang, Yucan Luo, Yuhui Zou
http://arxiv.org/abs/2112.01762v1
• [cs.IR]Siamese BERT-based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset
Matěj Kocián, Jakub Náplava, Daniel Štancl, Vladimír Kadlec
http://arxiv.org/abs/2112.01810v1
• [cs.IR]Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation
Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King
http://arxiv.org/abs/2112.01944v1
• [cs.IR]User-click Modelling for Predicting Purchase Intent
Simone Borg Bruun
http://arxiv.org/abs/2112.02006v1
• [cs.IT]Achieving the Capacity of a DNA Storage Channel with Linear Coding Schemes
Kel Levick, Reinhard Heckel, Ilan Shomorony
http://arxiv.org/abs/2112.01630v1
• [cs.IT]Fixed-Gain AF Relaying for RF-THz Wireless System over -- Shadowed and - Channels
Pranay Bhardwaj, S. M. Zafaruddin
http://arxiv.org/abs/2112.01984v1
• [cs.IT]Introduction to Logical Entropy and its Relationship to Shannon Entropy
David Ellerman
http://arxiv.org/abs/2112.01966v1
• [cs.IT]Joint User Scheduling and Beamforming Design for Multiuser MISO Downlink Systems
S. He, J. Yuan, Z. An, W. Huang, Y. Huang, Y. Zhang
http://arxiv.org/abs/2112.01738v1
• [cs.IT]Learning Emergent Random Access Protocol for LEO Satellite Networks
Ju-Hyung Lee, Hyowoon Seo, Jihong Park, Mehdi Bennis, Young-Chai Ko
http://arxiv.org/abs/2112.01765v1
• [cs.IT]Learning to Broadcast for Ultra-Reliable Communication with Differential Quality of Service via the Conditional Value at Risk
Roy Karasik, Osvaldo Simeone, Hyeryung Jang, Shlomo Shamai
http://arxiv.org/abs/2112.02007v1
• [cs.IT]Low-Resolution Massive MIMO Under Hardware Power Consumption Constraints
Italo Atzeni, Antti Tölli, Giuseppe Durisi
http://arxiv.org/abs/2112.02021v1
• [cs.LG]A Communication-efficient Federated learning assisted by Central data: Implementation of vertical training into Horizontal Federated learning
Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief
http://arxiv.org/abs/2112.01039v2
• [cs.LG]A Flexible HLS Hoeffding Tree Implementation for Runtime Learning on FPGA
Luís Miguel Sousa, Nuno Paulino, João Canas Ferreira, João Bispo
http://arxiv.org/abs/2112.01875v1
• [cs.LG]A Structured Dictionary Perspective on Implicit Neural Representations
Gizem Yüce, Guillermo Ortiz-Jiménez, Beril Besbinar, Pascal Frossard
http://arxiv.org/abs/2112.01917v1
• [cs.LG]A Survey on Concept Drift in Process Mining
Denise Maria Vecino Sato, Sheila Cristiana de Freitas, Jean Paul Barddal, Edson Emilio Scalabrin
http://arxiv.org/abs/2112.02000v1
• [cs.LG]Application of Machine Learning in understanding plant virus pathogenesis: Trends and perspectives on emergence, diagnosis, host-virus interplay and management
Dibyendu Ghosh, Srija Chakraborty, Hariprasad Kodamana, Supriya Chakraborty
http://arxiv.org/abs/2112.01998v1
• [cs.LG]Attack-Centric Approach for Evaluating Transferability of Adversarial Samples in Machine Learning Models
Tochukwu Idika, Ismail Akturk
http://arxiv.org/abs/2112.01777v1
• [cs.LG]Causal-based Time Series Domain Generalization for Vehicle Intention Prediction
Yeping Hu, Xiaogang Jia, Masayoshi Tomizuka, Wei Zhan
http://arxiv.org/abs/2112.02093v1
• [cs.LG]Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems
Meet P. Vadera, Benjamin M. Marlin
http://arxiv.org/abs/2112.01675v1
• [cs.LG]Context-Aware Online Client Selection for Hierarchical Federated Learning
Zhe Qu, Rui Duan, Lixing Chen, Jie Xu, Zhuo Lu, Yao Liu
http://arxiv.org/abs/2112.00925v2
• [cs.LG]Contrastive Continual Learning with Feature Propagation
Xuejun Han, Yuhong Guo
http://arxiv.org/abs/2112.01713v1
• [cs.LG]Data-Free Neural Architecture Search via Recursive Label Calibration
Zechun Liu, Zhiqiang Shen, Yun Long, Eric Xing, Kwang-Ting Cheng, Chas Leichner
http://arxiv.org/abs/2112.02086v1
• [cs.LG]Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing
Loc Truong, WoongJo Choi, Colby Wight, Lizzy Coda, Tegan Emerson, Keerti Kappagantula, Henry Kvinge
http://arxiv.org/abs/2112.01687v1
• [cs.LG]Discovery of Crime Event Sequences with Constricted Spatio-Temporal Sequential Patterns
Piotr S. Maciąg, Robert Bembenik, Artur Dubrawski
http://arxiv.org/abs/2112.01863v1
• [cs.LG]Enhancing Deep Neural Networks Testing by Traversing Data Manifold
Yuanyuan Yuan, Qi Pang, Shuai Wang
http://arxiv.org/abs/2112.01956v1
• [cs.LG]Episodic Policy Gradient Training
Hung Le, Majid Abdolshah, Thommen K. George, Kien Do, Dung Nguyen, Svetha Venkatesh
http://arxiv.org/abs/2112.01853v1
• [cs.LG]Estimating the Value-at-Risk by Temporal VAE
Robert Sicks, Stefanie Grimm, Ralf Korn, Ivo Richert
http://arxiv.org/abs/2112.01896v1
• [cs.LG]Fast Projected Newton-like Method for Precision Matrix Estimation with Nonnegative Partial Correlations
Jiaxi Ying, José Vinícius de M. Cardoso, Jian-Feng Cai, Daniel P. Palomar
http://arxiv.org/abs/2112.01939v1
• [cs.LG]Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study
Claire Little, Mark Elliot, Richard Allmendinger, Sahel Shariati Samani
http://arxiv.org/abs/2112.01925v1
• [cs.LG]Hybrid Digital Twin for process industry using Apros simulation environment
Mohammad Azangoo, Joonas Salmi, Iivo Yrjölä, Jonathan Bensky, Gerardo Santillan, Nikolaos Papakonstantinou, Seppo Sierla, Valeriy Vyatkin
http://arxiv.org/abs/2112.01903v1
• [cs.LG]I-WKNN: Fast-Speed and High-Accuracy WIFI Positioning for Intelligent Stadiums
Zhangzhi Zhao, Zhengying Lou, Ruibo Wang, Qingyao Li, Xing Xu
http://arxiv.org/abs/2112.02058v1
• [cs.LG]Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents
Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel
http://arxiv.org/abs/2112.01718v1
• [cs.LG]In situ process quality monitoring and defect detection for direct metal laser melting
Sarah Felix, Saikat Ray Majumder, H. Kirk Mathews, Michael Lexa, Gabriel Lipsa, Xiaohu Ping, Subhrajit Roychowdhury, Thomas Spears
http://arxiv.org/abs/2112.01921v1
• [cs.LG]Linear algebra with transformers
François Charton
http://arxiv.org/abs/2112.01898v1
• [cs.LG]Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis
Zixuan Yuan, Yada Zhu, Wei Zhang, Ziming Huang, Guangnan Ye, Hui Xiong
http://arxiv.org/abs/2112.00963v2
• [cs.LG]On the Existence of the Adversarial Bayes Classifier (Extended Version)
Pranjal Awasthi, Natalie S. Frank, Mehryar Mohri
http://arxiv.org/abs/2112.01694v1
• [cs.LG]Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services
Yasas Senarath, Ayan Mukhopadhyay, Sayyed Mohsen Vazirizade, Hemant Purohit, Saideep Nannapaneni, Abhishek Dubey
http://arxiv.org/abs/2112.02012v1
• [cs.LG]Prediction of Household-level Heat-Consumption using PSO enhanced SVR Model
Satyaki Chatterjee, Siming Bayer, Andreas Maier
http://arxiv.org/abs/2112.01908v1
• [cs.LG]Probabilistic Contrastive Loss for Self-Supervised Learning
Shen Li, Jianqing Xu, Bryan Hooi
http://arxiv.org/abs/2112.01642v1
• [cs.LG]Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster
http://arxiv.org/abs/2112.01716v1
• [cs.LG]Reinforcement Learning-Based Automatic Berthing System
Daesoo Lee
http://arxiv.org/abs/2112.01879v1
• [cs.LG]SSDL: Self-Supervised Dictionary Learning
Shuai Shao, Lei Xing, Wei Yu, Rui Xu, Yanjiang Wang, Baodi Liu
http://arxiv.org/abs/2112.01790v1
• [cs.LG]TC-GNN: Accelerating Sparse Graph Neural Network Computation Via Dense Tensor Core on GPUs
Yuke Wang, Boyuan Feng, Yufei Ding
http://arxiv.org/abs/2112.02052v1
• [cs.LG]Table2Vec: Automated Universal Representation Learning to Encode All-round Data DNA for Benchmarkable and Explainable Enterprise Data Science
Longbing Cao, Chengzhang Zhu
http://arxiv.org/abs/2112.01830v1
• [cs.LG]The Representation Jensen-Renyí Divergence
Jhoan Keider Hoyos Osorio, Oscar Skean, Austin Brockmeier, Luis Gonzalo Sanchez Giraldo
http://arxiv.org/abs/2112.01583v1
• [cs.LG]The UniNAS framework: combining modules in arbitrarily complex configurations with argument trees
Kevin Alexander Laube
http://arxiv.org/abs/2112.01796v1
• [cs.LG]You Can’t See the Forest for Its Trees: Assessing Deep Neural Network Testing via NeuraL Coverage
Yuanyuan Yuan, Qi Pang, Shuai Wang
http://arxiv.org/abs/2112.01955v1
• [cs.MM]Lightweight Attentional Feature Fusion for Video Retrieval by Text
Fan Hu, Aozhu Chen, Ziyue Wang, Fangming Zhou, Xirong Li
http://arxiv.org/abs/2112.01832v1
• [cs.MM]Malakai: Music That Adapts to the Shape of Emotions
Zack Harris, Liam Atticus Clarke, Pietro Gagliano, Dante Camarena, Manal Siddiqui, Pablo S. Castro
http://arxiv.org/abs/2112.02070v1
• [cs.RO]A Survey of Robot Manipulation in Contact
Markku Suomalainen, Yiannis Karayiannidis, Ville Kyrki
http://arxiv.org/abs/2112.01942v1
• [cs.RO]Active Inference in Robotics and Artificial Agents: Survey and Challenges
Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera, Mohamed Baioumy, Wataru Ohata, Alexander Tschantz, Beren Millidge, Martijn Wisse, Christopher L. Buckley, Jun Tani
http://arxiv.org/abs/2112.01871v1
• [cs.RO]Coupling Vision and Proprioception for Navigation of Legged Robots
Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak
http://arxiv.org/abs/2112.02094v1
• [cs.RO]Emergency-braking Distance Prediction using Deep Learning
Ruisi Zhang, Ashkan Pourkand
http://arxiv.org/abs/2112.01708v1
• [cs.RO]Fast Direct Stereo Visual SLAM
Jiawei Mo, Md Jahidul Islam, Junaed Sattar
http://arxiv.org/abs/2112.01890v1
• [cs.RO]GelTip Tactile Sensor for Dexterous Manipulation in Clutter
Daniel Fernandes Gomes, Shan Luo
http://arxiv.org/abs/2112.01834v1
• [cs.RO]Improving the Robustness of Reinforcement Learning Policies with Adaptive Control
Y. Cheng, P. Zhao, D. J. Block, N. Hovakimyan
http://arxiv.org/abs/2112.01953v1
• [cs.RO]Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU
Nicholas Polosky, Tyler Gwin, Sean Furman, Parth Barhanpurkar, Jithin Jagannath
http://arxiv.org/abs/2112.01688v1
• [cs.RO]Reducing Tactile Sim2Real Domain Gaps via Deep Texture Generation Networks
Tudor Jianu, Daniel Fernandes Gomes, Shan Luo
http://arxiv.org/abs/2112.01807v1
• [cs.RO]Snake Robot Gait Decomposition and Gait Parameter Optimization
Bongsub Song, Insung Ju, Dongwon Yun
http://arxiv.org/abs/2112.02057v1
• [cs.SD]Blackbox Untargeted Adversarial Testing of Automatic Speech Recognition Systems
Xiaoliang Wu, Ajitha Rajan
http://arxiv.org/abs/2112.01821v1
• [cs.SD]Music-to-Dance Generation with Optimal Transport
Shuang Wu, Shijian Lu, Li Cheng
http://arxiv.org/abs/2112.01806v1
• [cs.SE]Characterizing Performance Bugs in Deep Learning Systems
Junming Cao, Bihuan Chen, Chao Sun, Longjie Hu, Xin Peng
http://arxiv.org/abs/2112.01771v1
• [cs.SE]Multilingual training for Software Engineering
Toufique Ahmed, Premkumar Devanbu
http://arxiv.org/abs/2112.02043v1
• [cs.SI]Comparative Theoretical Analysis of Medial Centrality Measures
Wiktoria Kosny, Oskar Skibski
http://arxiv.org/abs/2112.01892v1
• [econ.EM]Inference for ROC Curves Based on Estimated Predictive Indices
Yu-Chin Hsu, Robert P. Lieli
http://arxiv.org/abs/2112.01772v1
• [eess.IV]Detection of Large Vessel Occlusions using Deep Learning by Deforming Vessel Tree Segmentations
Florian Thamm, Oliver Taubmann, Markus Jürgens, Hendrik Ditt, Andreas Maier
http://arxiv.org/abs/2112.01797v1
• [eess.IV]Engineering AI Tools for Systematic and Scalable Quality Assessment in Magnetic Resonance Imaging
Yukai Zou, Ikbeom Jang
http://arxiv.org/abs/2112.01629v1
• [eess.IV]Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identification
Tae Jun Jang, Hye Sun Yun, Jong-Eun Kim, Sang-Hwy Lee, Jin Keun Seo
http://arxiv.org/abs/2112.01784v1
• [eess.IV]Localized Feature Aggregation Module for Semantic Segmentation
Ryouichi Furukawa, Kazuhiro Hotta
http://arxiv.org/abs/2112.01702v1
• [eess.IV]MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification
Jingye Chen, Jieneng Chen, Zongwei Zhou, Bin Li, Alan Yuille, Yongyi Lu
http://arxiv.org/abs/2112.01767v1
• [eess.IV]Quantifying the uncertainty of neural networks using Monte Carlo dropout for deep learning based quantitative MRI
Mehmet Yigit Avci, Ziyu Li, Qiuyun Fan, Susie Huang, Berkin Bilgic, Qiyuan Tian
http://arxiv.org/abs/2112.01587v1
• [eess.IV]Towards Super-Resolution CEST MRI for Visualization of Small Structures
Lukas Folle, Katharian Tkotz, Fasil Gadjimuradov, Lorenz Kapsner, Moritz Fabian, Sebastian Bickelhaupt, David Simon, Arnd Kleyer, Gerhard Krönke, Moritz Zaiß, Armin Nagel, Andreas Maier
http://arxiv.org/abs/2112.01905v1
• [eess.SP]Scale up to infinity: the UWB Indoor Global Positioning System
Luca Santoro, Matteo Nardello, Davide Brunelli, Daniele Fontanelli
http://arxiv.org/abs/2112.01950v1
• [hep-lat]Grid on QPACE 4
Peter Georg, Nils Meyer, Stefan Solbrig, Tilo Wettig
http://arxiv.org/abs/2112.01852v1
• [math.NA]Fast optimal mass transport via reduced basis methods for the Monge-Ampre equation
Shijin Hou, Yanlai Chen, Yinhua Xia
http://arxiv.org/abs/2112.01878v1
• [math.OC]Regularized Newton Method with Global #card=math&code=O%281%2Fk%5E2%29&id=lQHqo) Convergence
Konstantin Mishchenko
http://arxiv.org/abs/2112.02089v1
• [math.OC]Residual-Based Adaptive Coefficient and Noise-Immunity ZNN for Perturbed Time-Dependent Quadratic Minimization
Chengze Jiang, Long Jin, Xiuchun Xiao
http://arxiv.org/abs/2112.01773v1
• [math.ST]Empirical phi-divergence test statistics in the logistic regression model
A. Felipe, P. Garcia-Segador, N. Martin, P. Miranda, L. Pardo
http://arxiv.org/abs/2112.01636v1
• [math.ST]Recovering Hölder smooth functions from noisy modulo samples
Michaël Fanuel, Hemant Tyagi
http://arxiv.org/abs/2112.01610v1
• [physics.data-an]The Linear Template Fit
Daniel Britzger
http://arxiv.org/abs/2112.01548v1
• [physics.ins-det]Graph Neural Networks for Charged Particle Tracking on FPGAs
Abdelrahman Elabd, Vesal Razavimaleki, Shi-Yu Huang, Javier Duarte, Markus Atkinson, Gage DeZoort, Peter Elmer, Jin-Xuan Hu, Shih-Chieh Hsu, Bo-Cheng Lai, Mark Neubauer, Isobel Ojalvo, Savannah Thais
http://arxiv.org/abs/2112.02048v1
• [physics.soc-ph]Mobility signatures: a tool for characterizing cities using intercity mobility flows
Maryam Kiashemshaki, Zhiren Huang, Jari Saramäki
http://arxiv.org/abs/2112.01789v1
• [q-bio.NC]Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning
Grace W. Lindsay, Josh Merel, Tom Mrsic-Flogel, Maneesh Sahani
http://arxiv.org/abs/2112.02027v1
• [q-fin.PR]Reinforcement learning for options on target volatility funds
Roberto Daluiso, Emanuele Nastasi, Andrea Pallavicini, Stefano Polo
http://arxiv.org/abs/2112.01841v1
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• [quant-ph]Classical computation of quantum guesswork
Michele Dall’Arno, Francesco Buscemi, Takeshi Koshiba
http://arxiv.org/abs/2112.01666v1
• [stat.CO]Computation of conditional expectations with guarantees
Patrick Cheridito, Balint Gersey
http://arxiv.org/abs/2112.01804v1
• [stat.ME]A Gaussian copula joint model for longitudinal and time-to-event data with random effects
Zili Zhang, Christiana Charalambous, Peter Foster
http://arxiv.org/abs/2112.01941v1
• [stat.ME]Bayesian nonparametric strategies for power maximization in rare variants association studies
Lorenzo Masoero, Joshua Schraiber, Tamara Broderick
http://arxiv.org/abs/2112.02032v1
• [stat.ME]Change-point detection in the covariance kernel of functional data using data depth
Kelly Ramsay, Shoja’eddin Chenouri
http://arxiv.org/abs/2112.01611v1
• [stat.ME]Clustering Areal Units at Multiple Levels of Resolution to Model Crime Incidence in Philadelphia
Cecilia Balocchi, Edward I. George, Shane T. Jensen
http://arxiv.org/abs/2112.02059v1
• [stat.ME]Data-driven stabilizations of goodness-of-fit tests
Alberto Fernández-de-Marcos, Eduardo García-Portugués
http://arxiv.org/abs/2112.01808v1
• [stat.ME]On the Reliability of Multiple Systems Estimation for the Quantification of Modern Slavery
Olivier Binette, Rebecca C. Steorts
http://arxiv.org/abs/2112.01594v1
• [stat.ME]Optimized variance estimation under interference and complex experimental designs
Christopher Harshaw, Joel A. Middleton, Fredrik Sävje
http://arxiv.org/abs/2112.01709v1
• [stat.ME]Power analysis for cluster randomized trials with continuous co-primary endpoints
Siyun Yang, Mirjam Moerbeek, Monica Taljaard, Fan Li
http://arxiv.org/abs/2112.01981v1
• [stat.ML]Bayes in Wonderland! Predictive supervised classification inference hits unpredictability
Ali Amiryousefi, Ville Kinnula, Jing Tang
http://arxiv.org/abs/2112.01880v1
• [stat.ML]Chronological Causal Bandits
Neil Dhir
http://arxiv.org/abs/2112.01819v1
• [stat.ML]Dimension-Free Average Treatment Effect Inference with Deep Neural Networks
Xinze Du, Yingying Fan, Jinchi Lv, Tianshu Sun, Patrick Vossler
http://arxiv.org/abs/2112.01574v1
• [stat.ML]Invariant Priors for Bayesian Quadrature
Masha Naslidnyk, Javier Gonzalez, Maren Mahsereci
http://arxiv.org/abs/2112.01578v1
• [stat.ML]Learning Curves for Sequential Training of Neural Networks: Self-Knowledge Transfer and Forgetting
Ryo Karakida, Shotaro Akaho
http://arxiv.org/abs/2112.01653v1
• [stat.ML]Near-optimal estimation of smooth transport maps with kernel sums-of-squares
Boris Muzellec, Adrien Vacher, Francis Bach, François-Xavier Vialard, Alessandro Rudi
http://arxiv.org/abs/2112.01907v1