astro-ph.HE - 高能天体物理现象
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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 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.GN - 一般经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-fin.CP -计算金融学 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.HE]A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients
• [cs.AI]A+BFHS: A Hybrid Heuristic Search Algorithm
• [cs.AI]Assured Learning-enabled Autonomy: A Metacognitive Reinforcement Learning Framework
• [cs.AI]Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
• [cs.AI]Towards interpretability of Mixtures of Hidden Markov Models
• [cs.CL]A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics
• [cs.CL]Annotation of Chinese Predicate Heads and Relevant Elements
• [cs.CL]Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection
• [cs.CL]Complementary Evidence Identification in Open-Domain Question Answering
• [cs.CL]Detecting Hate Speech with GPT-3
• [cs.CL]Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformer
• [cs.CL]Exercise? I thought you said ‘Extra Fries’: Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis
• [cs.CL]Hallucination of speech recognition errors with sequence to sequence learning
• [cs.CL]Leveraging Multi-domain, Heterogeneous Data using Deep Multitask Learning for Hate Speech Detection
• [cs.CL]Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization
• [cs.CL]Modeling the Severity of Complaints in Social Media
• [cs.CL]Multilingual Autoregressive Entity Linking
• [cs.CL]NameRec: Highly Accurate and Fine-grained Person Name Recognition
• [cs.CL]SAFEval: Summarization Asks for Fact-based Evaluation
• [cs.CL]SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers
• [cs.CL]TMR: Evaluating NER Recall on Tough Mentions
• [cs.CR]Anomaly detection using principles of human perception
• [cs.CR]ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning
• [cs.CR]Efficient Multilinear Map from Graded Encoding Scheme
• [cs.CR]Watermark Faker: Towards Forgery of Digital Image Watermarking
• [cs.CV]3D Reconstruction and Alignment by Consumer RGB-D Sensors and Fiducial Planar Markers for Patient Positioning in Radiation Therapy
• [cs.CV]A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition
• [cs.CV]AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition
• [cs.CV]Adaptive Illumination based Depth Sensing using Deep Learning
• [cs.CV]BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
• [cs.CV]CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic Segmentation
• [cs.CV]Channel Scaling: A Scale-and-Select Approach for Transfer Learning
• [cs.CV]Co-Grounding Networks with Semantic Attention for Referring Expression Comprehension in Videos
• [cs.CV]Conditional Training with Bounding Map for Universal Lesion Detection
• [cs.CV]DeFLOCNet: Deep Image Editing via Flexible Low-level Controls
• [cs.CV]Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval
• [cs.CV]Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
• [cs.CV]Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers
• [cs.CV]DeepViT: Towards Deeper Vision Transformer
• [cs.CV]Dilated SpineNet for Semantic Segmentation
• [cs.CV]DualConv: Dual Mesh Convolutional Networks for Shape Correspondence
• [cs.CV]Efficient sign language recognition system and dataset creation method based on deep learning and image processing
• [cs.CV]End-to-End Trainable Multi-Instance Pose Estimation with Transformers
• [cs.CV]Enhanced Gradient for Differentiable Architecture Search
• [cs.CV]Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Framework
• [cs.CV]Extracting Causal Visual Features for Limited label Classification
• [cs.CV]Generalized Domain Conditioned Adaptation Network
• [cs.CV]Generalizing Face Forgery Detection with High-frequency Features
• [cs.CV]Global Correlation Network: End-to-End Joint Multi-Object Detection and Tracking
• [cs.CV]Gradient Regularized Contrastive Learning for Continual Domain Adaptation
• [cs.CV]Group-aware Label Transfer for Domain Adaptive Person Re-identification
• [cs.CV]Human-like Controllable Image Captioning with Verb-specific Semantic Roles
• [cs.CV]Improved Detection of Face Presentation Attacks Using Image Decomposition
• [cs.CV]Incrementally Zero-Shot Detection by an Extreme Value Analyzer
• [cs.CV]Instance-level Image Retrieval using Reranking Transformers
• [cs.CV]Learning Comprehensive Motion Representation for Action Recognition
• [cs.CV]Learning without Seeing nor Knowing: Towards Open Zero-Shot Learning
• [cs.CV]Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo
• [cs.CV]Leveraging background augmentations to encourage semantic focus in self-supervised contrastive learning
• [cs.CV]Lifelong Person Re-Identification via Adaptive Knowledge Accumulation
• [cs.CV]MetaSAug: Meta Semantic Augmentation for
1084
Long-Tailed Visual Recognition
• [cs.CV]Model-based 3D Hand Reconstruction via Self-Supervised Learning
• [cs.CV]MonoRUn: Monocular 3D Object Detection by Self-Supervised Reconstruction and Uncertainty Propagation
• [cs.CV]Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision
• [cs.CV]Multi-Modal Answer Validation for Knowledge-Based VQA
• [cs.CV]Multimodal Personal Ear Authentication Using Smartphones
• [cs.CV]OFFSEG: A Semantic Segmentation Framework For Off-Road Driving
• [cs.CV]On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
• [cs.CV]Optimising the selection of samples for robust lidar camera calibration
• [cs.CV]Out-of-Distribution Detection of Melanoma using Normalizing Flows
• [cs.CV]PanGEA: The Panoramic Graph Environment Annotation Toolkit
• [cs.CV]Partial Matching in the Space of Varifolds
• [cs.CV]Prediction of lung and colon cancer through analysis of histopathological images by utilizing Pre-trained CNN models with visualization of class activation and saliency maps
• [cs.CV]Prediction of lung and colon cancer through analysis of histopathological images by utilizing Pre-trained CNN models with visualization of class activation and saliency maps
• [cs.CV]RPATTACK: Refined Patch Attack on General Object Detectors
• [cs.CV]Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery
• [cs.CV]Region extraction based approach for cigarette usage classification using deep learning
• [cs.CV]Revisiting Self-Supervised Monocular Depth Estimation
• [cs.CV]Salient Image Matting
• [cs.CV]Scaling Local Self-Attention For Parameter Efficient Visual Backbones
• [cs.CV]Self-Supervised Pretraining Improves Self-Supervised Pretraining
• [cs.CV]Shared Latent Space of Font Shapes and Impressions
• [cs.CV]Stereo Object Matching Network
• [cs.CV]TICaM: A Time-of-flight In-car Cabin Monitoring Dataset
• [cs.CV]Temporal Feature Networks for CNN based Object Detection
• [cs.CV]Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Classification in Imbalanced Data Sets
• [cs.CV]Transferable Semantic Augmentation for Domain Adaptation
• [cs.CV]Transformers Solve the Limited Receptive Field for Monocular Depth Prediction
• [cs.CV]UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution
• [cs.CV]Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning
• [cs.CV]ZS-IL: Looking Back on Learned ExperiencesFor Zero-Shot Incremental Learning
• [cs.CV]iMAP: Implicit Mapping and Positioning in Real-Time
• [cs.CY]CubeFlow: Money Laundering Detection with Coupled Tensors
• [cs.DC]Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints
• [cs.DC]Systematic benchmarking of HTTPS third party copy on 100Gbps links using XRootD
• [cs.DC]The IoT Exchange
• [cs.DC]The quest for scaling BFT Consensus through Tree-Based Vote Aggregation
• [cs.DL]Challenges in systematic reviews and meta-analyses of mediation analyses
• [cs.HC]Considerations and Challenges of Measuring Operator Performance in Telepresence and Teleoperation Entailing Mixed Reality Technologies
• [cs.IR]A News Recommender System Considering Temporal Dynamics and Diversity
• [cs.IR]Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages
• [cs.IR]Diversity Regularized Interests Modeling for Recommender Systems
• [cs.IR]HSEarch: semantic search system for workplace accident reports
• [cs.IR]Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness
• [cs.IT]A Joint Reinforcement-Learning Enabled Caching and Cross-Layer Network Code for Sum-Rate Maximization in F-RAN with D2D Communications
• [cs.IT]An Efficient Interference-Aware Constrained Massive MIMO Beamforming for mm-Wave JSDM
• [cs.IT]Anomaly Detection Algorithms for Location Security in 5G Scenarios
• [cs.IT]Attaining Sudan’s decoding radius with no genus penalty for algebraic geometry codes
• [cs.IT]Average Rate Analysis of RIS-aided
1000
Short Packet Communication in URLLC Systems
• [cs.IT]Max-Min Fair Energy-Efficient Beamforming Design for Intelligent Reflecting Surface-Aided SWIPT Systems with Non-linear Energy Harvesting Model
• [cs.IT]On Convolutional Precoding in PAC Codes
• [cs.IT]Secure Energy Efficiency: Power Allocation and Outage Analysis for SWIPT-in-DAS based IoT
• [cs.LG]Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes
• [cs.LG]Adversarial Feature Augmentation and Normalization for Visual Recognition
• [cs.LG]Am I fit for this physical activity? Neural embedding of physical conditioning from inertial sensors
• [cs.LG]An Exponential Lower Bound for Linearly-Realizable MDPs with Constant Suboptimality Gap
• [cs.LG]Applying graph matching techniques to enhance reuse of plant design information
• [cs.LG]Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs
• [cs.LG]Attention-based neural re-ranking approach for next city in trip recommendations
• [cs.LG]Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy
• [cs.LG]Balanced Softmax Cross-Entropy for Incremental Learning
• [cs.LG]Bandits with many optimal arms
• [cs.LG]Benign Overfitting of Constant-Stepsize SGD for Linear Regression
• [cs.LG]BoXHED 2.0: Scalable boosting of functional data in survival analysis
• [cs.LG]CLIP: Cheap Lipschitz Training of Neural Networks
• [cs.LG]Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments
• [cs.LG]Combining Reward Information from Multiple Sources
• [cs.LG]Contrastive Reasoning in Neural Networks
• [cs.LG]Convergence of Finite Memory Q-Learning for POMDPs and Near Optimality of Learned Policies under Filter Stability
• [cs.LG]DIG: A Turnkey Library for Diving into Graph Deep Learning Research
• [cs.LG]Deep KKL: Data-driven Output Prediction for Non-Linear Systems
• [cs.LG]Differentiable Agent-Based Simulation for Gradient-Guided Simulation-Based Optimization
• [cs.LG]Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
• [cs.LG]Edge Intelligence for Empowering IoT-based Healthcare Systems
• [cs.LG]Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload
• [cs.LG]Energy Disaggregation using Variational Autoencoders
• [cs.LG]Exemplars can Reciprocate Principal Components
• [cs.LG]Expanding Semantic Knowledge for Zero-shot Graph Embedding
• [cs.LG]Explainability: Relevance based Dynamic Deep Learning Algorithm for Fault Detection and Diagnosis in Chemical Processes
• [cs.LG]Generative Minimization Networks: Training GANs Without Competition
• [cs.LG]Genetic column generation: Fast computation of high-dimensional multi-marginal optimal transport problems
• [cs.LG]Gradient-enhanced multifidelity neural networks for high-dimensional function approximation
• [cs.LG]Health Status Prediction with Local-Global Heterogeneous Behavior Graph
• [cs.LG]How to decay your learning rate
• [cs.LG]IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography
• [cs.LG]Improved Analysis of Robustness of the Tsallis-INF Algorithm to Adversarial Corruptions in Stochastic Multiarmed Bandits
• [cs.LG]Initializing ReLU networks in an expressive subspace of weights
• [cs.LG]Interpretable ML-driven Strategy for Automated Trading Pattern Extraction
• [cs.LG]Joint Distribution across Representation Space for Out-of-Distribution Detection
• [cs.LG]Learning Adaptable Policy via Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks
• [cs.LG]Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios
• [cs.LG]NNrepair: Constraint-based Repair of Neural Network Classifiers
• [cs.LG]Neural ODE Processes
• [cs.LG]On gray-box modeling for virtual flow metering
• [cs.LG]Online Baum-Welch algorithm for Hierarchical Imitation Learning
• [cs.LG]PAC-learning gains of Turing machines over circuits and neural networks
• [cs.LG]Pairwise Adjusted Mutual Information
• [cs.LG]Performance Bounds for Neural Network Estimators: Applications in Fault Detection
• [cs.LG]Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
• [cs.LG]Promoting Fairness through Hyperparameter Optimization
• [cs.LG]ReCU: Reviving the Dead Weights in Binary Neural Networks
• [cs.LG]Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
• [cs.LG]Spatio-Temporal Sparsification for General Robust Graph Convolution Networks
• [cs.LG]The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?
• [cs.LG]Uncovering Dominant Features in Short-term Power Load Forecasting Based on Multi-source Feature
• [cs.LG]Unsupervised collaborative learning based on Optimal Transport theory
• [cs.MA]Safe Multi-Agent Reinforcement Learning through Decentralized Multiple Control Barrier Functions
• [cs.NE]Evolving Learning Rate Optimizers for Deep Neural Networks
• [cs.NE]GA-SVM for Evaluating Heroin Consumption Risk
• [cs.NE]On the Role of System Software in Energy Management of Neuromorphic Computing
• [cs.NE]The dynamical regime and its importance for evolvability, task performance and generalization
• [cs.RO]Autonomous Flight through Cluttered Outdoor Environments Using a Memoryless Planner
• [cs.RO]Biologically Inspired Collision Avoidance Without Distance Information
• [cs.RO]Continuous-time State & Dynamics Estimation using a Pseudo-Spectral Parameterization
• [cs.RO]Decentralized Connectivity Maintenance with Time Delays using Control Barrier Functions
• [cs.RO]Distributed coordinated path following using guiding vector fields
• [cs.RO]F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning
• [cs.RO]GelSlim3.0: High-Resolution Measurement of Shape, Force and Slip in a Compact Tactile-Sensing Finger
• [cs.RO]Learning 6DoF Grasping Using Reward-Consistent Demonstration
• [cs.RO]Model Based Control of Commercial-Off-TheShelf (COTS) Unmanned Rotorcraft for BrickWall Construction
• [cs.RO]Multi-Robot Task Allocation — Complexity and Approximation
• [cs.RO]Multimodal Data Fusion for Power-On-and-GoRobotic Systems in Retail
• [cs.RO]NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation
• [cs.RO]Neural Network Controller for Autonomous Pile Loading Revised
• [cs.RO]Scenario-Based Trajectory Optimization in Uncertain Dynamic Environments
• [cs.RO]Spatial Intention Maps for Multi-Agent Mobile Manipulation
• [cs.RO]SuctionNet-1Billion: A Large-Scale Benchmark for Suction Grasping
• [cs.RO]The Road to a Successful HRI: AI, Trust and ethicS-TRAITS
• [cs.SD]Tiny Transformers for Environmental Sound Classification at the Edge
• [cs.SE]Building the Collaboration Graph of Open-Source Software Ecosystem
• [cs.SE]Can I Solve It? Identifying APIs Required to Complete OSS Task
• [cs.SE]What is the Vocabulary of Flaky Tests? An Extended Replication
• [cs.SI]A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect
• [cs.SI]Finite Impulse Response Filters for Simplicial Complexes
• [cs.SI]Using an Epidemiological Model to Study the Spread of Misinformation during the Black Lives Matter Movement
• [econ.GN]How Many Online Workers are there in the World? A Data-Driven Assessment
• [eess.IV]An augmentation strategy to mimic multi-scanner variability in MRI
• [eess.IV]Generation and Simulation of Yeast Microscopy Imagery with Deep Learning
• [eess.IV]Multiview and Multiclass Image Segmentation using Deep Learning in Fetal Echocardiography
• [eess.IV]Roughness Index and Roughness Distance for Benchmarking Medical Segmentation
• [eess.IV]Virtual light transport matrices for non-line-of-sight imaging
• [eess.SP]Self-supervised representation learning from 12-lead ECG data
• [eess.SY]Generalized Iterative Super-Twisting Sliding Mode Control: A Case Study on Flexure-Joint Dual-Drive H-Gantry Stage
• [math.NA]Mittag-Leffler functions and their applications in network science
• [math.OC]A machine-learning approach to synthesize virtual sensors for parameter-varying systems
• [math.OC]Stochastic Reweighted Gradient Descent
• [math.PR]Weak convergence of -statistics on a row-column exchangeable matrix
• [physics.med-ph]Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Images
• [physics.soc-ph]Epidemic Spreading and Digital Contact Tracing: Effects of Heterogeneous Mixing and Quarantine Failures
• [q-fin.CP]Deep Hedging: Learning Risk-Neutral Implied Volatility Dynamics
• [stat.AP]Bayesian imputation of COVID-19 positive test counts for nowcasting under reporting lag
• [stat.ME]A New Causal Approach to Account for Treatment Switching in Randomized Experiments under a Structural Cumulative Survival Model
• [stat.ME]Binary disease prediction using tail quantiles of the distribution of continuous biomarkers
• [stat.ME]Modeling Random Directions in 2D Simplex
1000
Data
• [stat.ME]Modelling intransitivity in pairwise comparisons with application to baseball data
• [stat.ME]New Perspectives on Centering
• [stat.ME]krippendorffsalpha: An R Package for Measuring Agreement Using Krippendorff’s Alpha Coefficient
• [stat.ML]A New Approach To Text Rating Classification Using Sentiment Analysis
• [stat.ML]Depth-based pseudo-metrics between probability distributions
• [stat.ML]Partitioned hybrid learning of Bayesian network structures
• [stat.ML]SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
• [stat.ML]The Success of AdaBoost and Its Application in Portfolio Management
·····································
• [astro-ph.HE]A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients
V. Ashley Villar, Miles Cranmer, Edo Berger, Gabriella Contardo, Shirley Ho, Griffin Hosseinzadeh, Joshua Yao-Yu Lin
http://arxiv.org/abs/2103.12102v1
• [cs.AI]**A+BFHS: A Hybrid Heuristic Search Algorithm
Zhaoxing Bu, Richard E. Korf
http://arxiv.org/abs/2103.12701v1
• [cs.AI]Assured Learning-enabled Autonomy: A Metacognitive Reinforcement Learning Framework
Aquib Mustafa, Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares
http://arxiv.org/abs/2103.12558v1
• [cs.AI]Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Wenzhao Lian, Chang Su, Mel Vecerik, Ning Ye, Stefan Schaal, Jon Scholz
http://arxiv.org/abs/2103.11512v2
• [cs.AI]Towards interpretability of Mixtures of Hidden Markov Models
Negar Safinianaini, Henrik Boström
http://arxiv.org/abs/2103.12576v1
• [cs.CL]A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics
Hongru Liang, Haozheng Wang, Qian Li, Jun Wang, Guandong Xu, Jiawei Chen, Jin-Mao Wei, Zhenglu Yang
http://arxiv.org/abs/2103.12615v1
• [cs.CL]Annotation of Chinese Predicate Heads and Relevant Elements
Yanping Chen, Yongbin Qin, Ruizhang Huang, Qinghua Zheng, Ping Chen
http://arxiv.org/abs/2103.12280v1
• [cs.CL]Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection
Jan Philip Wahle, Terry Ruas, Norman Meuschke, Bela Gipp
http://arxiv.org/abs/2103.12450v1
• [cs.CL]Complementary Evidence Identification in Open-Domain Question Answering
Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, Hui Su
http://arxiv.org/abs/2103.11643v2
• [cs.CL]Detecting Hate Speech with GPT-3
Ke-Li Chiu, Rohan Alexander
http://arxiv.org/abs/2103.12407v1
• [cs.CL]Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformer
Shivani Kumar, Anubhav Shrimal, Md Shad Akhtar, Tanmoy Chakraborty
http://arxiv.org/abs/2103.12360v1
• [cs.CL]Exercise? I thought you said ‘Extra Fries’: Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis
Shraman Pramanick, Md Shad Akhtar, Tanmoy Chakraborty
http://arxiv.org/abs/2103.12377v1
• [cs.CL]Hallucination of speech recognition errors with sequence to sequence learning
Prashant Serai, Vishal Sunder, Eric Fosler-Lussier
http://arxiv.org/abs/2103.12258v1
• [cs.CL]Leveraging Multi-domain, Heterogeneous Data using Deep Multitask Learning for Hate Speech Detection
Prashant Kapil, Asif Ekbal
http://arxiv.org/abs/2103.12412v1
• [cs.CL]Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization
Ansong Ni, Matt Gardner, Pradeep Dasigi
http://arxiv.org/abs/2103.12235v1
• [cs.CL]Modeling the Severity of Complaints in Social Media
Mali Jin, Nikolaos Aletras
http://arxiv.org/abs/2103.12428v1
• [cs.CL]Multilingual Autoregressive Entity Linking
Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni
http://arxiv.org/abs/2103.12528v1
• [cs.CL]**NameRec: Highly Accurate and Fine-grained Person Name Recognition
Rui Zhang, Yimeng Dai, Shijie Liu
http://arxiv.org/abs/2103.11360v2
• [cs.CL]SAFEval: Summarization Asks for Fact-based Evaluation
Thomas Scialom, Paul-Alexis Dray, Patrick Gallinari, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang
http://arxiv.org/abs/2103.12693v1
• [cs.CL]SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers
Dheeraj Rajagopal, Vidhisha Balachandran, Eduard Hovy, Yulia Tsvetkov
http://arxiv.org/abs/2103.12279v1
• [cs.CL]TMR: Evaluating NER Recall on Tough Mentions
Jingxuan Tu, Constantine Lignos
http://arxiv.org/abs/2103.12312v1
• [cs.CR]Anomaly detection using principles of human perception
Nassir Mohammad
http://arxiv.org/abs/2103.12323v1
• [cs.CR]ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning
Oliver Lutz, Huili Chen, Hossein Fereidooni, Christoph Sendner, Alexandra Dmitrienko, Ahmad Reza Sadeghi, Farinaz Koushanfar
http://arxiv.org/abs/2103.12607v1
• [cs.CR]Efficient Multilinear Map from Graded Encoding Scheme
Majid Salimi
http://arxiv.org/abs/2103.12616v1
• [cs.CR]Watermark Faker: Towards Forgery of Digital Image Watermarking
Ruowei Wang, Chenguo Lin, Qijun Zhao, Feiyu Zhu
http://arxiv.org/abs/2103.12489v1
• [cs.CV]3D Reconstruction and Alignment by Consumer RGB-D Sensors and Fiducial Planar Markers for Patient Positioning in Radiation Therapy
Hamid Sarmadi, Rafael Muñoz-Salinas, M. Álvaro Berbís, Antonio Luna, Rafael Medina-Carnicer
http://arxiv.org/abs/2103.12162v1
• [cs.CV]A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition
Henrique Siqueira, Pablo Barros, Sven Magg, Cornelius Weber, Stefan Wermter
http://arxiv.org/abs/2103.12362v1
• [cs.CV]AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition
Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu
http://arxiv.org/abs/2103.11770v1
• [cs.CV]Adaptive Illumination based Depth Sensing using Deep Learning
Qiqin Dai, Fengqiang Li, Oliver Cossairt, Aggelos K Katsaggelos
http://arxiv.org/abs/2103.12297v1
• [cs.CV]BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang
http://arxiv.org/abs/2103.12424v1
• [cs.CV]CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic Segmentation
Ange Lou, Murray Loew
http://arxiv.org/abs/2103.12212v1
• [cs.CV]Channel Scaling: A Scale-and-Select Approach for Transfer Learning
Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
http://arxiv.org/abs/2103.12228v1
• [cs.CV]Co-Grounding Networks with Semantic Attention for Referring Expression Comprehension in Videos
Sijie Song, Xudong Lin, Jiaying Liu, Zongming Guo, Shih-Fu Chang
http://arxiv.org/abs/2103.12346v1
• [cs.CV]Conditional Training with Bounding Map for Universal Lesion Detection
Han Li, Long Chen, Hu Han, S. Kevin Zhou
http://arxiv.org/abs/2103.12277v1
• [cs.CV]DeFLOCNet: Deep Image Editing via Flexible Low-level Controls
Hongyu Liu, Ziyu Wan, Wei Huang, Yibing Song, Xintong Han, Jing Liao, Bing Jiang, Wei Liu
http://arxiv.org/abs/2103.12723v1
• [cs.CV]Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval
Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Mototaka Miyake, Masamichi Takahashi, Akiko Nakagawa, Tatsuya Harada, Ryuji Hamamoto
http://arxiv.org/abs/2103.12328v1
• [cs.CV]Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
Shi-Lin Liu, Hao-Xiang Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu
http://arxiv.org/abs/2103.12266v1
• [cs.CV]Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers
Lei Ke, Yu-Wing Tai, Chi-Keung Tang
http://arxiv.org/abs/2103.12340v1
• [cs.CV]DeepViT: Towards Deeper Vision Transformer
Daquan Zhou, Bingyi Kang, Xiaojie Jin, Linjie Yang, Xiaochen Lian, Qibin Hou, Jiashi Feng
http://arxiv.org/abs/2103.11886v2
• [cs.CV]Dilated SpineNet for Semantic Segmentation
Abdullah Rashwan, Xianzhi Du, Xiaoqi Yin, Jing Li
http://arxiv.org/abs/2103.12270v1
• [cs.CV]DualConv: Dual Mesh Convolutional Networks for Shape Correspondence
Nitika Verma, Adnane Boukhayma, Jakob Verbeek, Edmond Boyer
http://arxiv.org/abs/2103.12459v1
• [cs.CV]Efficient sign language recognition system and dataset creation method based on deep learning and image processing
Alvaro Leandro Cavalcante Carneiro, Lucas de Brito Silva, Denis Henrique Pinheiro Salvedeo
http://arxiv.org/abs/2103.12233v1
• [cs.CV]End-to-End Trainable Multi-Instance Pose Estimation with Transformers
Lucas Stoffl, Maxime Vidal, Alexander Mathis
http://arxiv.org/abs/2103.12115v1
• [cs.CV]Enhanced Gradient for Differentiable Architecture Search
Haichao Zhang, Kuangrong Hao, Lei Gao, Xuesong Tang, Bing Wei
http://arxiv.org/abs/2103.12529v1
• [cs.CV]Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Framework
Kaihao Zhang, Dongxu Li, Wenhan Luo, Wen-Yan Lin, Fang Zhao, Wenqi Ren, Wei Liu, Hongdong Li
http://arxiv.org/abs/2103.12318v1
• [cs.CV]Extracting Causal Visual Features for Limited label Classification
Mohit Prabhushankar, Ghassan AlRegib
http://arxiv.org/abs/2103.12322v1
• [cs.CV]Generalized Domain Conditioned Adaptation Network
Shuang Li, Qiuxia Lin, Chi Harold Liu, Gao Huang, Guoren Wang
http://arxiv.org/abs/2103.12339v1
• [cs.CV]Generalizing Face Forgery Detection with High-frequency Features
Yuchen Luo, Yong Zhang, Junchi Yan, Wei Liu
http://arxiv.org/abs/2103.12376v1
• [cs.CV]Global Correlation Network: End-to-End Joint Multi-Object Detection and Tracking
Xuewu Lin, Yu-ang Guo, Jianqiang Wang
http://arxiv.org/abs/2103.12511v1
• [cs.CV]Gradient Regularized Contrastive Learning for Continual Domain Adaptation
Shixiang Tang, Peng Su, Dapeng Chen, Wanli Ouyang
http://arxiv.org/abs/2103.12294v1
• [cs.CV]Group-aware Label Transfer for Domain Adaptive Person Re-identification
Kecheng Zheng, Wu Liu, Lingxiao He, Tao Mei, Jiebo Luo, Zheng-Jun Zha
http://arxiv.org/abs/2103.12366v1
• [cs.CV]Human-like Controllable Image Captioning with Verb-specific Semantic Roles
Long Chen, Zhihong Jiang, Jun Xiao, Wei Liu
http://arxiv.org/abs/2103.12204v1
• [cs.CV]Improved Detection of Face Presentation Attacks Using Image Decomposition
Shlok Kumar Mishra, Kuntal Sengupta, Max Horowitz-Gelb, Wen-Sheng Chu, Sofien Bouaziz, David Jacobs
http://arxiv.org/abs/2103.12201v1
• [cs.CV]Incrementally Zero-Shot Detection by an Extreme Value Analyzer
Zheng Sixiao, Fu Yanwei, Hou Yanxi
http://arxiv.org/abs/2103.12609v1
• [cs.CV]Instance-level Image Retrieval using Reranking Transformers
Fuwen Tan, Jiangbo Yuan, Vicente Ordonez
http://arxiv.org/abs/2103.12236v1
• [cs.CV]Learning Comprehensive Motion Representation for Action Recognition
Mingyu Wu, Boyuan Jiang, Donghao Luo, Junchi Yan, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xiaokang Yang
http://arxiv.org/abs/2103.12278v1
• [cs.CV]Learning without Seeing nor Knowing: Towards Open Zero-Shot Learning
Federico Marmoreo, Julio Ivan Davila Carrazco, Vittorio Murino, Jacopo Cavazza
http://arxiv.org/abs/2103.12437v1
• [cs.CV]Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo
David Honzátko, Engin Türetken, Pascal Fua, L. Andrea Dunbar
http://arxiv.org/abs/2103.12106v1
• [cs.CV]Leveraging background augmentations to encourage semantic focus in self-supervised contrastive learning
Chaitanya K. Ryali, David J. Schwab, Ari S. Morcos
http://arxiv.org/abs/2103.12719v1
• [cs.CV]Lifelong Person Re-Identification via Adaptive Knowledge Accumulation
Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
http://arxiv.org/abs/2103.12462v1
• [cs.CV]MetaSAug: Meta Semantic Augmentation for
1084
Long-Tailed Visual Recognition
Shuang Li, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Feng Qiao, Xinjing Cheng
http://arxiv.org/abs/2103.12579v1
• [cs.CV]Model-based 3D Hand Reconstruction via Self-Supervised Learning
Yujin Chen, Zhigang Tu, Di Kang, Linchao Bao, Ying Zhang, Xuefei Zhe, Ruizhi Chen, Junsong Yuan
http://arxiv.org/abs/2103.11703v1
• [cs.CV]MonoRUn: Monocular 3D Object Detection by Self-Supervised Reconstruction and Uncertainty Propagation
Hansheng Chen, Yuyao Huang, Wei Tian, Zhong Gao, Lu Xiong
http://arxiv.org/abs/2103.12605v1
• [cs.CV]Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision
Akhil Gurram, Ahmet Faruk Tuna, Fengyi Shen, Onay Urfalioglu, Antonio M. López
http://arxiv.org/abs/2103.12209v1
• [cs.CV]Multi-Modal Answer Validation for Knowledge-Based VQA
Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi
http://arxiv.org/abs/2103.12248v1
• [cs.CV]Multimodal Personal Ear Authentication Using Smartphones
S. Itani, S. Kita, Y. Kajikawa
http://arxiv.org/abs/2103.12575v1
• [cs.CV]OFFSEG: A Semantic Segmentation Framework For Off-Road Driving
Kasi Viswanath, Kartikeya Singh, Peng Jiang, Sujit P. B., Srikanth Saripalli
http://arxiv.org/abs/2103.12417v1
• [cs.CV]On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
Osama Makansi, Özgün Cicek, Yassine Marrakchi, Thomas Brox
http://arxiv.org/abs/2103.12474v1
• [cs.CV]Optimising the selection of samples for robust lidar camera calibration
Darren Tsai, Stewart Worrall, Mao Shan, Anton Lohr, Eduardo Nebot
http://arxiv.org/abs/2103.12287v1
• [cs.CV]Out-of-Distribution Detection of Melanoma using Normalizing Flows
M. M. A. Valiuddin, C. G. A. Viviers
http://arxiv.org/abs/2103.12672v1
• [cs.CV]PanGEA: The Panoramic Graph Environment Annotation Toolkit
Alexander Ku, Peter Anderson, Jordi Pont-Tuset, Jason Baldridge
http://arxiv.org/abs/2103.12703v1
• [cs.CV]Partial Matching in the Space of Varifolds
Pierre-Louis Antonsanti, Joan Glaunès, Thomas Benseghir, Vincent Jugnon, Irène Kaltenmark
http://arxiv.org/abs/2103.12441v1
• [cs.CV]Prediction of lung and colon cancer through analysis of histopathological images by utilizing Pre-trained CNN models with visualization of class activation and saliency maps
Satvik Garg, Somya Garg
http://arxiv.org/abs/2103.12155v1
• [cs.CV]Prediction of lung and colon cancer through analysis of histopathological images by utilizing Pre-trained CNN models with visualization of class activation and saliency maps
Satvik Garg, Somya Garg
http://arxiv.org/abs/org/abs/2103.12155v1
• [cs.CV]RPATTACK: Refined Patch Attack on General Object Detectors
Hao Huang, Yongtao Wang, Zhaoyu Chen, Zhi Tang, Wenqiang Zhang, Kai-Kuang Ma
http://arxiv.org/abs/2103.12469v1
• [cs.CV]Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery
Manu Tom, Tianyu Wu, Emmanuel Baltsavias, Konrad Schindler
http://arxiv.org/abs/2103.12434v1
• [cs.CV]Region extraction based approach for cigarette usage classification using deep learning
Anshul Pundhir, Deepak Verma, Puneet Kumar, Balasubramanian Raman
http://arxiv.org/abs/2103.12523v1
• [cs.CV]Revisiting Self-Supervised Monocular Depth Estimation
Ue-Hwan Kim, Jong-Hwan Kim
http://arxiv.org/abs/2103.12496v1
• [cs.CV]Salient Image Matting
Rahul Deora, Rishab Sharma, Dinesh Samuel Sathia Raj
http://arxiv.org/abs/2103.12337v1
• [cs.CV]Scaling Local Self-Attention For Parameter Efficient Visual Backbones
Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake Hechtman, Jonathon Shlens
http://arxiv.org/abs/2103.12731v1
• [cs.CV]Self-Supervised Pretraining Improves Self-Supervised Pretraining
Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell
http://arxiv.org/abs/2103.12718v1
• [cs.CV]Shared Latent Space of Font Shapes and Impressions
Jihun Kang, Daichi Haraguchi, Akisato Kimura, Seiichi Uchida
http://arxiv.org/abs/2103.12347v1
• [cs.CV]Stereo Object Matching Network
Jaesung Choe, Kyungdon Joo, Francois Rameau, In So Kweon
http://arxiv.org/abs/2103.12498v1
• [cs.CV]TICaM: A Time-of-flight In-car Cabin Monitoring Dataset
Jigyasa Singh Katrolia, Bruno Mirbach, Ahmed El-Sherif, Hartmut Feld, Jason Rambach, Didier Stricker
http://arxiv.org/abs/2103.11719v2
• [cs.CV]Temporal Feature Networks for CNN based Object Detection
Michael Weber, Tassilo Wald, J. Marius Zöllner
http://arxiv.org/abs/2103.12213v1
• [cs.CV]Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Classification in Imbalanced Data Sets
Aqsa Saeed Qureshi, Teemu Roos
http://arxiv.org/abs/2103.12068v1
• [cs.CV]Transferable Semantic Augmentation for Domain Adaptation
Shuang Li, Mixue Xie, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Wei Li
http://arxiv.org/abs/2103.12562v1
• [cs.CV]Transformers Solve the Limited Receptive Field for Monocular Depth Prediction
Guanglei Yang, Hao Tang, Mingli Ding, Nicu Sebe, Elisa Ricci
http://arxiv.org/abs/2103.12091v1
• [cs.CV]UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution
Xingqian Xu, Zhangyang Wang, Humphrey Shi
http://arxiv.org/abs/2103.12716v1
• [cs.CV]Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning
Shiyu Tang, Peijun Tang, Yanxiang Gong, Zheng Ma, Mei Xie
http://arxiv.org/abs/2103.12371v1
• [cs.CV]ZS-IL: Looking Back on Learned ExperiencesFor Zero-Shot Incremental Learning
Mozhgan PourKeshavarz, Mohammad Sabokrou
http://arxiv.org/abs/2103.12216v1
• [cs.CV]iMAP: Implicit Mapping and Positioning in Real-Time
Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison
http://arxiv.org/abs/2103.12352v1
• [cs.CY]CubeFlow: Money Laundering Detection with Coupled Tensors
Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng
http://arxiv.org/abs/2103.12411v1
• [cs.DC]Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints
Ruben Mayer, Hans-Arno Jacobsen
http://arxiv.org/abs/2103.12594v1
• [cs.DC]Systematic benchmarking of HTTPS third party copy on 100Gbps links using XRootD
Edgar Fajardo, Aashay Arora, Diego Davila, Richard Gao, Frank Würthwein, Brian Bockelman
http://arxiv.org/abs/2103.12116v1
• [cs.DC]The IoT Exchange
Oleg Berzin, Rafael Ansay, James Kempf, Imam Sheikh, Doron Hendel
http://arxiv.org/abs/2103.12131v1
• [cs.DC]The quest for scaling BFT Consensus through Tree-Based Vote Aggregation
Ray Neiheiser, Miguel Matos, Luís Rodrigues
http://arxiv.org/abs/2103.12112v1
• [cs.DL]Challenges in systematic reviews and meta-analyses of mediation analyses
Tat-Thang Vo, Stijn Vansteelandt
http://arxiv.org/abs/2103.12227v1
• [cs.HC]Considerations and Challenges of Measuring Operator Performance in Telepresence and Teleoperation Entailing Mixed Reality Technologies
Eleftherios Triantafyllidis, Zhibin Li
http://arxiv.org/abs/2103.12702v1
• [cs.IR]A News Recommender System Considering Temporal Dynamics and Diversity
Shaina Raza
http://arxiv.org/abs/2103.12537v1
• [cs.IR]Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages
Ryan Dailey, Aniesh Chawla, Andrew Liu, Sripath Mishra, Ling Zhang, Josh Majors, Yung-Hsiang Lu, George K. Thiruvathukal
http://arxiv.org/abs/2103.12286v1
• [cs.IR]Diversity Regularized Interests Modeling for Recommender Systems
Junmei Hao, Jingcheng Shi, Qing Da, Anxiang Zeng, Yujie Dun, Xueming Qian, Qianying Lin
http://arxiv.org/abs/2103.12404v1
• [cs.IR]HSEarch: semantic search system for workplace accident reports
Emrah Inan, Paul Thompson, Tim Yates, Sophia Ananiadou
http://arxiv.org/abs/2103.12420v1
• [cs.IR]Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness
Florian Boudin, Ygor Gallina
http://arxiv.org/abs/2103.12440v1
• [cs.IT]A Joint Reinforcement-Learning Enabled Caching and Cross-Layer Network Code for Sum-Rate Maximization in F-RAN with D2D Communications
Mohammed S. Al-Abiad, Md. Zoheb Hassan, Md. Jahangir Hossain
http://arxiv.org/abs/2103.12134v1
• [cs.IT]An Efficient Interference-Aware Constrained Massive MIMO Beamforming for mm-Wave JSDM
Murat Bayraktar, Gokhan Muzaffer Guvensen
http://arxiv.org/abs/2103.12151v1
• [cs.IT]Anomaly Detection Algorithms for Location Security in 5G Scenarios
Stefania Bartoletti, Ivan Palamà, Danilo Orlando, Giuseppe Bianchi, Nicola Blefari Melazzi
http://arxiv.org/abs/2103.12125v1
• [cs.IT]Attaining Sudan’s decoding radius with no genus penalty for algebraic geometry codes
Isabella Panaccione
http://arxiv.org/abs/2103.11188v2
• [cs.IT]Average Rate Analysis of RIS-aided
1000
Short Packet Communication in URLLC Systems
Ramin Hashemi, Samad Ali, Nurul Huda Mahmood, Matti Latva-aho
http://arxiv.org/abs/2103.12175v1
• [cs.IT]Max-Min Fair Energy-Efficient Beamforming Design for Intelligent Reflecting Surface-Aided SWIPT Systems with Non-linear Energy Harvesting Model
Shayan Zargari, Ata Khalili, Qingqing Wu, Mohammad Robat Mili, Derrick Wing Kwan Ng
http://arxiv.org/abs/2103.12195v1
• [cs.IT]On Convolutional Precoding in PAC Codes
Mohammad Rowshan, Emanuele Viterbo
http://arxiv.org/abs/2103.12483v1
• [cs.IT]Secure Energy Efficiency: Power Allocation and Outage Analysis for SWIPT-in-DAS based IoT
Aaqib Bulla, Shahid M Shah
http://arxiv.org/abs/2103.12720v1
• [cs.LG]Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes
Ayoub El Hanchi, David A. Stephens
http://arxiv.org/abs/2103.12243v1
• [cs.LG]Adversarial Feature Augmentation and Normalization for Visual Recognition
Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu
http://arxiv.org/abs/2103.12171v1
• [cs.LG]Am I fit for this physical activity? Neural embedding of physical conditioning from inertial sensors
Davi Pedrosa de Aguiar, Otávio Augusto Silva, Fabricio Murai
http://arxiv.org/abs/2103.12095v1
• [cs.LG]An Exponential Lower Bound for Linearly-Realizable MDPs with Constant Suboptimality Gap
Yuanhao Wang, Ruosong Wang, Sham M. Kakade
http://arxiv.org/abs/2103.12690v1
• [cs.LG]Applying graph matching techniques to enhance reuse of plant design information
Miia Rantala, Hannu Niemistö, Tommi Karhela, Seppo Sierla, Valeriy Vyatkin
http://arxiv.org/abs/2103.12466v1
• [cs.LG]Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs
Ramneet Kaur, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee
http://arxiv.org/abs/2103.12628v1
• [cs.LG]Attention-based neural re-ranking approach for next city in trip recommendations
Aleksandr Petrov, Yuriy Makarov
http://arxiv.org/abs/2103.12475v1
• [cs.LG]Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy
Sergei V. Kalinin, Maxim A. Ziatdinov, Jacob Hinkle, Stephen Jesse, Ayana Ghosh, Kyle P. Kelley, Andrew R. Lupini, Bobby G. Sumpter, Rama K. Vasudevan
http://arxiv.org/abs/2103.12165v1
• [cs.LG]Balanced Softmax Cross-Entropy for Incremental Learning
Quentin Jodelet, Xin Liu, Tsuyoshi Murata
http://arxiv.org/abs/2103.12532v1
• [cs.LG]Bandits with many optimal arms
Rianne de Heide, James Cheshire, Pierre Ménard, Alexandra Carpentier
http://arxiv.org/abs/2103.12452v1
• [cs.LG]Benign Overfitting of Constant-Stepsize SGD for Linear Regression
Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham M. Kakade
http://arxiv.org/abs/2103.12692v1
• [cs.LG]BoXHED 2.0: Scalable boosting of functional data in survival analysis
Arash Pakbin, Xiaochen Wang, Bobak J. Mortazavi, Donald K. K. Lee
http://arxiv.org/abs/2103.12591v1
• [cs.LG]CLIP: Cheap Lipschitz Training of Neural Networks
Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck
http://arxiv.org/abs/2103.12531v1
• [cs.LG]Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments
Joseph Jay Williams, Jacob Nogas, Nina Deliu, Hammad Shaikh, Sofia Villar, Audrey Durand, Anna Rafferty
http://arxiv.org/abs/2103.12198v1
• [cs.LG]Combining Reward Information from Multiple Sources
Dmitrii Krasheninnikov, Rohin Shah, Herke van Hoof
http://arxiv.org/abs/2103.12142v1
• [cs.LG]Contrastive Reasoning in Neural Networks
Mohit Prabhushankar, Ghassan AlRegib
http://arxiv.org/abs/2103.12329v1
• [cs.LG]Convergence of Finite Memory Q-Learning for POMDPs and Near Optimality of Learned Policies under Filter Stability
Ali Devran Kara, Serdar Yuksel
http://arxiv.org/abs/2103.12158v1
• [cs.LG]DIG: A Turnkey Library for Diving into Graph Deep Learning Research
Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Zhao Xu, Haiyang Yu, Jingtun Zhang, Yi Liu, Keqiang Yan, Bora Oztekin, Haoran Liu, Xuan Zhang, Cong Fu, Shuiwang Ji
http://arxiv.org/abs/2103.12608v1
• [cs.LG]Deep KKL: Data-driven Output Prediction for Non-Linear Systems
Steeven Janny, Vincent Andrieu, Madiha Nadri, Christian Wolf
http://arxiv.org/abs/2103.12443v1
• [cs.LG]Differentiable Agent-Based Simulation for Gradient-Guided Simulation-Based Optimization
Philipp Andelfinger
http://arxiv.org/abs/2103.12476v1
• [cs.LG]Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
Jaekyeom Kim, Minjung Kim, Dongyeon Woo, Gunhee Kim
http://arxiv.org/abs/2103.12300v1
• [cs.LG]Edge Intelligence for Empowering IoT-based Healthcare Systems
Vahideh Hayyolalam, Moayad Aloqaily, Oznur Ozkasap, Mohsen Guizani
http://arxiv.org/abs/2103.12144v1
• [cs.LG]Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload
Johan Kok Zhi Kang, Gaurav, Sien Yi Tan, Feng Cheng, Shixuan Sun, Bingsheng He
http://arxiv.org/abs/2103.12465v1
• [cs.LG]Energy Disaggregation using Variational Autoencoders
Antoine Langevin, Marc-André Carbonneau, Mohamed Cheriet, Ghyslain Gagnon
http://arxiv.org/abs/2103.12177v1
• [cs.LG]Exemplars can Reciprocate Principal Components
Kieran Greer
http://arxiv.org/abs/2103.12069v1
• [cs.LG]Expanding Semantic Knowledge for Zero-shot Graph Embedding
Zheng Wang, Ruihang Shao, Changping Wang, Changjun H
1000
u, Chaokun Wang, Zhiguo Gong
http://arxiv.org/abs/2103.12491v1
• [cs.LG]Explainability: Relevance based Dynamic Deep Learning Algorithm for Fault Detection and Diagnosis in Chemical Processes
Piyush Agarwal, Melih Tamer, Hector Budman
http://arxiv.org/abs/2103.12222v1
• [cs.LG]Generative Minimization Networks: Training GANs Without Competition
Paulina Grnarova, Yannic Kilcher, Kfir Y. Levy, Aurelien Lucchi, Thomas Hofmann
http://arxiv.org/abs/2103.12685v1
• [cs.LG]Genetic column generation: Fast computation of high-dimensional multi-marginal optimal transport problems
Gero Friesecke, Andreas S. Schulz, Daniela Vögler
http://arxiv.org/abs/2103.12624v1
• [cs.LG]Gradient-enhanced multifidelity neural networks for high-dimensional function approximation
Jethro Nagawkar, Leifur Leifsson
http://arxiv.org/abs/2103.12247v1
• [cs.LG]Health Status Prediction with Local-Global Heterogeneous Behavior Graph
Xuan Ma, Xiaoshan Yang, Junyu Gao, Changsheng Xu
http://arxiv.org/abs/2103.12456v1
• [cs.LG]How to decay your learning rate
Aitor Lewkowycz
http://arxiv.org/abs/2103.12682v1
• [cs.LG]IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
http://arxiv.org/abs/2103.12308v1
• [cs.LG]Improved Analysis of Robustness of the Tsallis-INF Algorithm to Adversarial Corruptions in Stochastic Multiarmed Bandits
Saeed Masoudian, Yevgeny Seldin
http://arxiv.org/abs/2103.12487v1
• [cs.LG]Initializing ReLU networks in an expressive subspace of weights
Dayal Singh, Sreejith G J
http://arxiv.org/abs/2103.12499v1
• [cs.LG]Interpretable ML-driven Strategy for Automated Trading Pattern Extraction
Artur Sokolovsky, Luca Arnaboldi, Jaume Bacardit, Thomas Gross
http://arxiv.org/abs/2103.12419v1
• [cs.LG]Joint Distribution across Representation Space for Out-of-Distribution Detection
JingWei Xu, Siyuan Zhu, Zenan Li, Chang Xu
http://arxiv.org/abs/2103.12344v1
• [cs.LG]Learning Adaptable Policy via Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks
Pin Wang, Hanhan Li, Ching-Yao Chan
http://arxiv.org/abs/2103.12694v1
• [cs.LG]Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios
Christoph Killing, Adam Villaflor, John M. Dolan
http://arxiv.org/abs/2103.12070v1
• [cs.LG]NNrepair: Constraint-based Repair of Neural Network Classifiers
Muhammad Usman, Divya Gopinath, Youcheng Sun, Yannic Noller, Corina Pasareanu
http://arxiv.org/abs/2103.12535v1
• [cs.LG]Neural ODE Processes
Alexander Norcliffe, Cristian Bodnar, Ben Day, Jacob Moss, Pietro Liò
http://arxiv.org/abs/2103.12413v1
• [cs.LG]On gray-box modeling for virtual flow metering
Mathilde Hotvedt, Bjarne Grimstad, Dag Ljungquist, Lars Imsland
http://arxiv.org/abs/2103.12513v1
• [cs.LG]Online Baum-Welch algorithm for Hierarchical Imitation Learning
Vittorio Giammarino, Ioannis Ch. Paschalidis
http://arxiv.org/abs/2103.12197v1
• [cs.LG]PAC-learning gains of Turing machines over circuits and neural networks
Brieuc Pinon, Jean-Charles Delvenne, Raphaël Jungers
http://arxiv.org/abs/2103.12686v1
• [cs.LG]Pairwise Adjusted Mutual Information
Denys Lazarenko, Thomas Bonald
http://arxiv.org/abs/2103.12641v1
• [cs.LG]Performance Bounds for Neural Network Estimators: Applications in Fault Detection
Navid Hashemi, Mahyar Fazlyab, Justin Ruths
http://arxiv.org/abs/2103.12141v1
• [cs.LG]Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, Shixiang Shane Gu
http://arxiv.org/abs/2103.12726v1
• [cs.LG]Promoting Fairness through Hyperparameter Optimization
André F. Cruz, Pedro Saleiro, Catarina Belém, Carlos Soares, Pedro Bizarro
http://arxiv.org/abs/2103.12715v1
• [cs.LG]ReCU: Reviving the Dead Weights in Binary Neural Networks
Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji
http://arxiv.org/abs/2103.12369v1
• [cs.LG]Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
Benjamin Eysenbach, Sergey Levine, Ruslan Salakhutdinov
http://arxiv.org/abs/2103.12656v1
• [cs.LG]Spatio-Temporal Sparsification for General Robust Graph Convolution Networks
Mingming Lu, Ya Zhang
http://arxiv.org/abs/2103.12256v1
• [cs.LG]The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?
Antonio Emanuele Cinà, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
http://arxiv.org/abs/2103.12399v1
• [cs.LG]Uncovering Dominant Features in Short-term Power Load Forecasting Based on Multi-source Feature
Pan Zeng, Md Fazla Elahe, Junlin Xu, Min Jin
http://arxiv.org/abs/2103.12534v1
• [cs.LG]Unsupervised collaborative learning based on Optimal Transport theory
Fatima Ezzahraa Ben Bouazza, Younès Bennani
http://arxiv.org/abs/2103.12071v1
• [cs.MA]Safe Multi-Agent Reinforcement Learning through Decentralized Multiple Control Barrier Functions
Zhiyuan Cai, Huanhui Cao, Wenjie Lu, Lin Zhang, Hao Xiong
http://arxiv.org/abs/2103.12553v1
• [cs.NE]Evolving Learning Rate Optimizers for Deep Neural Networks
Pedro Carvalho, Nuno Lourenço, Penousal Machado
http://arxiv.org/abs/2103.12623v1
• [cs.NE]GA-SVM for Evaluating Heroin Consumption Risk
Sean-Kelly Palicki, R. Muhammad Atif Azad
http://arxiv.org/abs/2103.12633v1
• [cs.NE]On the Role of System Software in Energy Management of Neuromorphic Computing
Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das
http://arxiv.org/abs/2103.12231v1
• [cs.NE]The dynamical regime and its importance for evolvability, task performance and generalization
Jan Prosi, Sina Khajehabdollahi, Emmanouil Giannakakis, Georg Martius, Anna Levina
http://arxiv.org/abs/2103.12184v1
• [cs.RO]Autonomous Flight through Cluttered Outdoor Environments Using a Memoryless Planner
Junseok Lee, Xiangyu Wu, Seung Jae Lee, Mark W. Mueller
http://arxiv.org/abs/2103.12156v1
• [cs.RO]Biologically Inspired Collision Avoidance Without Distance Information
Thiago Marinho, Massi Amrouche, Dusan Stipanovic, Venanzio Cichella, Naira Hovakimyan
http://arxiv.org/abs/2103.12239v1
• [cs.RO]Continuous-time State & Dynamics Estimation using a Pseudo-Spectral Parameterization
Varun Agrawal, Frank Dellaert
http://arxiv.org/abs/2103.12219v1
• [cs.RO]Decentralized Connectivity Maintenance with Time Delays using Control Barrier Functions
Beatrice Capelli, Hassan Fouad, Giovanni Beltrame, Lorenzo Sabattini
http://arxiv.org/abs/2103.12614v1
• [cs.RO]Distributed coordinated path following using guiding vector fields
Weijia Yao, Hector Garcia de Marina, Zhiyong Sun, Ming Cao
http://arxiv.org/abs/2103.12372v1
• [cs.RO]F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning
Ali Ayub, Alan R. Wagner
http://arxiv.org/abs/2103.12242v1
• [cs.RO]GelSlim3.0: High-Resolution Measurement of Shape, Force and Slip in a Compact Tactile-Sensing Finger
Ian Taylor, Siyuan Dong, Alberto Rodriguez
http://arxiv.org/abs/2103.12269v1
• [cs.RO]Learning 6DoF Grasping Using Reward-Consistent Demonstration
Daichi Kawakami, Ryoichi Ishikawa, Menandro Roxas, Yoshihiro Sato, Takeshi Oishi
http://arxiv.org/abs/2103.12321v1
• [cs.RO]Model Based Control of Commercial-Off-TheShelf (COTS) Unmanned Rotorcraft for BrickWall Construction
Nithya Sridhar, Sai Abhinay. N, Chaithanya Krishna. B, Shubhankar Shobhit, Kaushik Das, Debasish Ghose
http://arxiv.org/abs/2103.12335v1
• [cs.RO]Multi-Robot Task Allocation — Complexity and Approximation
Haris Aziz, Hau Chan, Ágnes Cseh, Bo Li, Fahimeh Ramezani, Chenhao Wang
http://arxiv.org/abs/2103.12370v1
• [cs.RO]Multimodal Data Fusion for Power-On-and-GoRobotic Systems in Retail
Shubham Sonawani, Kailas Maneparambil, Heni Ben Amor
http://arxiv.org/abs/2103.12241v1
• [cs.RO]NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation
Zhicheng Zhou, Cheng Zhao, Daniel Adolfsson, Songzhi Su, Yang Gao, Tom Duckett, Li Sun
http://arxiv.org/abs/2103.12292v1
• [cs.RO]Neural Network Controller for Autonomous Pile Loading Revised
Wenyan Yang, Nataliya Strokina, Nikolay Serbenyuk, Joni Pajarinen, Reza Ghabcheloo, Juho Vihonen, Mohammad M. Aref, Joni-Kristian Kämäräinen
http://arxiv.org/abs/2103.12379v1
• [cs.RO]Scenario-Based Trajectory Optimization in Uncertain Dynamic Environments
O. de Groot, B. Brito, L. Ferranti, D. Gavrila, J. Alonso-Mora
http://arxiv.org/abs/2103.12517v1
• [cs.RO]Spatial Intention Maps for Multi-Agent Mobile Manipulation
Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, Thomas Funkhouser
http://arxiv.org/abs/2103.12710v1
• [cs.RO]SuctionNet-1Billion: A Large-Scale Benchmark for Suction Grasping
Hanwen Cao, Hao-Shu Fang, Wenhai Liu, Cewu Lu
http://arxiv.org/abs/2103.12311v1
• [cs.RO]The Road to a Successful HRI: AI, Trust and ethicS-TRAITS
Antonio Andriella, Alessandra Rossi, Silvia Rossi, Anouk van Maris
http://arxiv.org/abs/2103.12679v1
• [cs.SD]Tiny Transformers for Environmental Sound Classification at the Edge
David Elliott, Carlos E. Otero, Steven Wyatt, Evan Martino
http://arxiv.org/abs/2103.12157v1
• [cs.SE]Building the Collaboration Graph of Open-Source Software Ecosystem
Elena Lyulina, Mahmoud Jahanshahi
http://arxiv.org/abs/2103.12168v1
• [cs.SE]Can I Solve It? Identifying APIs Required to Complete OSS Task
Fabio Santos, Igor Wiese, Bianca Trinkenreich, Igor Steinmacher, Anita Sarma, Marco Gerosa
http://arxiv.org/abs/2103.12653v1
• [cs.SE]What is the Vocabulary of Flaky Tests? An Extended Replication
B. H. P. Camara, M. A. G. Silva, A. T. Endo, S. R. Vergilio
http://arxiv.org/abs/2103.12670v1
• [cs.SI]A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect
Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy, Kristina Lerman
http://arxiv.org/abs/2103.12149v1
• [cs.SI]Finite Impulse Response Filters for Simplicial Complexes
Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert Leus
http://arxiv.org/abs/2103.12587v1
• [cs.SI]Using an Epidemiological Model to Study the Spread of Misinformation during the Black Lives Matter Movement
Maryam Maleki, Esther Mead, Mohammad Arani, Nitin Agarwal
http://arxiv.org/abs/2103.12191v1
• [econ.GN]How Many Online Workers are there in the World? A Data-Driven Assessment
Otto Kässi, Vili Lehdonvirta, Fabian Stephany
http://arxiv.org/abs/2103.12648v1
• [eess.IV]An augmentation strategy to mimic multi-scanner variability in MRI
Maria Ines Meyer, Ezequiel de la Rosa, Nuno Barros, Roberto Paolella, Koen Van Leemput, Diana M. Sima
http://arxiv.org/abs/2103.12595v1
• [eess.IV]Generation and Simulation of Yeast Microscopy Imagery with Deep Learning
Christoph Reich
http://arxiv.org/abs/2103.11834v2
• [eess.IV]Multiview and Multiclass Image Segmentation using Deep Learning in Fetal Echocardiography
Ken C. L. Wong, Elena S. Sinkovskaya, Alfred Z. Abuhamad, Tanveer Syeda-Mahmood
http://arxiv.org/abs/2103.12245v1
• [eess.IV]Roughness Index and Roughness Distance for Benchmarking Medical Segmentation
Vidhiwar Singh Rathour, Kashu Yamakazi, T. Hoang Ngan Le
http://arxiv.org/abs/2103.12350v1
• [eess.IV]Virtual light transport matrices for non-line-of-sight imaging
Julio Marco, Adrian Jarabo, Ji Hyun Nam, Xiaochun Liu, Miguel Ángel Cosculluela, Andreas Velten, Diego Gutierrez
http://arxiv.org/abs/2103.12622v1
• [eess.SP]Self-supervised representation learning from 12-lead ECG data
Temesgen Mehari, Nils Strodthoff
http://arxiv.org/abs/2103.12676v1
• [eess.SY]Generalized Iterative Super-Twisting Sliding Mode Control: A Case Study on Flexure-Joint Dual-Drive H-Gantry Stage
Wenxin Wang, Jun Ma, Zilong Cheng, Xiaocong Li, Abdullah Al Mamun, Tong Heng Lee
http://arxiv.org/abs/2103.12567v1
• [math.NA]Mittag-Leffler functions and their applications in network science
Francesca Arrigo, Fabio Durastante
http://arxiv.org/abs/2103.12559v1
• [math.OC]A machine-learning approach to synthesize virtual sensors for parameter-varying systems
Daniele Masti, Daniele Bernardini, Alberto Bemporad
http://arxiv.org/abs/2103.12324v1
• [math.OC]Stochastic Reweighted Gradient Descent
Ayoub El Hanchi, David A. Stephens
http://arxiv.org/abs/2103.12293v1
• [math.PR]Weak convergence of -statistics on a row-column exchangeable matrix
Tâm Le Minh
http://arxiv.org/abs/2103.12597v1
• [physics.med-ph]Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Images
Oscar J. Pellicer-Valero, José L. Marenco Jiménez, Victor Gonzalez-Perez, Juan Luis Casanova Ramón-Borja, Isabel Martín García, María Barrios Benito, Paula Pelechano Gómez, José Rubio-Briones, María José Rupérez, José D. Martín-Guerrero
http://arxiv.org/abs/2103.12650v1
• [physics.soc-ph]Epidemic Spreading and Digital Contact Tracing: Effects of Heterogeneous Mixing and Quarantine Failures
Abbas K. Rizi, Ali Faqeeh, Arash Badie-Modiri, Mikko Kivelä
http://arxiv.org/abs/2103.12634v1
• [q-fin.CP]Deep Hedging: Learning Risk-Neutral Implied Volatility Dynamics
Hans Buehler, Phillip Murray, Mikko S. Pakkanen, Ben Wood
http://arxiv.org/abs/2103.11948v2
• [stat.AP]Bayesian imputation of COVID-19 positive test counts for nowcasting under reporting lag
Radka Jersakova, James Lomax, James Hetherington, Brieuc Lehmann, George Nicholson, Mark Briers, Chris Holmes
http://arxiv.org/abs/2103.12661v1
• [stat.ME]A New Causal Approach to Account for Treatment Switching in Randomized Experiments under a Structural Cumulative Survival Model
Andrew Ying, Eric J. Tchetgen Tchetgen
http://arxiv.org/abs/2103.12206v1
• [stat.ME]Binary disease prediction using tail quantiles of the distribution of continuous biomarkers
Michiel H. J. Paus, Edwin R. van den Heuvel, Marc J. M. Meddens
http://arxiv.org/abs/2103.12409v1
• [stat.ME]Modeling Random Directions in 2D Simplex
1000
Data
Rayleigh Lei, Long Nguyen
http://arxiv.org/abs/2103.12214v1
• [stat.ME]Modelling intransitivity in pairwise comparisons with application to baseball data
Harry Spearing, Jonathan Tawn, David Irons, Tim Paulden
http://arxiv.org/abs/2103.12094v1
• [stat.ME]New Perspectives on Centering
Jack B. Prothero, Jan Hannig, J. S. Marron
http://arxiv.org/abs/2103.12176v1
• [stat.ME]krippendorffsalpha: An R Package for Measuring Agreement Using Krippendorff’s Alpha Coefficient
John Hughes
http://arxiv.org/abs/2103.12170v1
• [stat.ML]A New Approach To Text Rating Classification Using Sentiment Analysis
Thomas Konstantinovsky
http://arxiv.org/abs/2103.12368v1
• [stat.ML]Depth-based pseudo-metrics between probability distributions
Guillaume Staerman, Pavlo Mozharovskyi, Stéphan Clémençon, Florence d’Alché-Buc
http://arxiv.org/abs/2103.12711v1
• [stat.ML]Partitioned hybrid learning of Bayesian network structures
Jireh Huang, Qing Zhou
http://arxiv.org/abs/2103.12188v1
• [stat.ML]SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
Steve Yadlowsky, Taedong Yun, Cory McLean, Alexander D’Amour
http://arxiv.org/abs/2103.12725v1
• [stat.ML]The Success of AdaBoost and Its Application in Portfolio Management
Yijian Chuan, Chaoyi Zhao, Zhenrui He, Lan Wu
http://arxiv.org/abs/2103.12345v1
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