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 今日学术视野(2021.12.7) - 图1-今日学术视野(2021.12.7) - 图2-今日学术视野(2021.12.7) - 图3 Shadowed and 今日学术视野(2021.12.7) - 图4-今日学术视野(2021.12.7) - 图5 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 今日学术视野(2021.12.7) - 图6 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 今日学术视野(2021.12.7) - 图7 optimal mass transport via reduced basis methods for the Monge-Amp今日学术视野(2021.12.7) - 图8re equation
    • [math.OC]Regularized Newton Method with Global 今日学术视野(2021.12.7) - 图9#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 今日学术视野(2021.12.7) - 图10-今日学术视野(2021.12.7) - 图11-今日学术视野(2021.12.7) - 图12 Shadowed and 今日学术视野(2021.12.7) - 图13-今日学术视野(2021.12.7) - 图14 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 今日学术视野(2021.12.7) - 图15 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

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    • [hep-lat]Grid on QPACE 4
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    • [math.OC]Residual-Based Adaptive Coefficient and Noise-Immunity ZNN for Perturbed Time-Dependent Quadratic Minimization
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    • [math.ST]Empirical phi-divergence test statistics in the logistic regression model
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    • [math.ST]Recovering Hölder smooth functions from noisy modulo samples
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    • [physics.data-an]The Linear Template Fit
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    • [physics.ins-det]Graph Neural Networks for Charged Particle Tracking on FPGAs
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    • [physics.soc-ph]Mobility signatures: a tool for characterizing cities using intercity mobility flows
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    • [stat.CO]Computation of conditional expectations with guarantees
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    • [stat.ME]A Gaussian copula joint model for longitudinal and time-to-event data with random effects
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    • [stat.ME]Bayesian nonparametric strategies for power maximization in rare variants association studies
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    • [stat.ME]Change-point detection in the covariance kernel of functional data using data depth
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    • [stat.ME]Data-driven stabilizations of goodness-of-fit tests
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    • [stat.ME]On the Reliability of Multiple Systems Estimation for the Quantification of Modern Slavery
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    • [stat.ME]Optimized variance estimation under interference and complex experimental designs
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    • [stat.ME]Power analysis for cluster randomized trials with continuous co-primary endpoints
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