mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 5 May 2021

139 papers

  1. Development of an expected possession value model to analyse team attacking performances in rugby league
  2. Polygrammar: Grammar for Digital Polymer Representation and Generation
  3. TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators
  4. Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation
  5. Soft-Attention Improves Skin Cancer Classification Performance
  6. Translation Quality Assessment: A Brief Survey on Manual and Automatic Methods
  7. Comparison of Traditional and Hybrid Time Series Models for Forecasting COVID-19 Cases
  8. Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks
  9. Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions
  10. This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks
  11. Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation
  12. PCE-PINNs: Physics-Informed Neural Networks for Uncertainty Propagation in Ocean Modeling
  13. Activity-Aware Deep Cognitive Fatigue Assessment using Wearables
  14. A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction
  15. LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface
  16. SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations
  17. Granger Causality: A Review and Recent Advances
  18. Survey on Multi-Agent Q-Learning frameworks for resource management in wireless sensor network
  19. Physics-informed Spline Learning for Nonlinear Dynamics Discovery
  20. Genetic Algorithms For Extractive Summarization
  21. MODS -- A USV-oriented object detection and obstacle segmentation benchmark
  22. Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks
  23. Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain
  24. Content4All Open Research Sign Language Translation Datasets
  25. Policy Learning with Adaptively Collected Data
  26. CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
  27. DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
  28. Non-asymptotic analysis and inference for an outlyingness induced winsorized mean
  29. Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance
  30. Iterative Human and Automated Identification of Wildlife Images
  31. Magnifying Subtle Facial Motions for Effective 4D Expression Recognition
  32. Learning Algorithms for Regenerative Stopping Problems with Applications to Shipping Consolidation in Logistics
  33. A Step Toward More Inclusive People Annotations for Fairness
  34. Scalable Graph Neural Network Training: The Case for Sampling
  35. Byzantine-Robust and Privacy-Preserving Framework for FedML
  36. R2U3D: Recurrent Residual 3D U-Net for Lung Segmentation
  37. Operating Room (Re)Scheduling with Bed Management via ASP
  38. Attention for Image Registration (AiR): an unsupervised Transformer approach
  39. Training Quantum Embedding Kernels on Near-Term Quantum Computers
  40. Rethinking Search: Making Domain Experts out of Dilettantes
  41. Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization
  42. Human Activity Recognition Models in Ontology Networks
  43. ADAM: A Sandbox for Implementing Language Learning
  44. Information Limits for Detecting a Subhypergraph
  45. How Fine-Tuning Allows for Effective Meta-Learning
  46. Self-Supervised Multi-Frame Monocular Scene Flow
  47. Physically Inspired Dense Fusion Networks for Relighting
  48. PD-GAN: Probabilistic Diverse GAN for Image Inpainting
  49. Foundations of Intelligence in Natural and Artificial Systems: A Workshop Report
  50. Impact of individual rater style on deep learning uncertainty in medical imaging segmentation
  51. Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes
  52. Rethinking Ultrasound Augmentation: A Physics-Inspired Approach
  53. RandCrowns: A Quantitative Metric for Imprecisely Labeled Tree Crown Delineation
  54. PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond
  55. A unifying tutorial on Approximate Message Passing
  56. Learning Feature Aggregation for Deep 3D Morphable Models
  57. Goodness of Causal Fit
  58. Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries
  59. VoxelContext-Net: An Octree based Framework for Point Cloud Compression
  60. Pairwise Point Cloud Registration using Graph Matching and Rotation-invariant Features
  61. H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch
  62. UVIP: Model-Free Approach to Evaluate Reinforcement Learning Algorithms
  63. Self-Supervised Learning from Automatically Separated Sound Scenes
  64. Conditional Invertible Neural Networks for Diverse Image-to-Image Translation
  65. Prototype Memory for Large-scale Face Representation Learning
  66. Efficient Strategy Synthesis for MDPs with Resource Constraints
  67. End-to-End Diarization for Variable Number of Speakers with Local-Global Networks and Discriminative Speaker Embeddings
  68. Two-layer neural networks with values in a Banach space
  69. When Fair Ranking Meets Uncertain Inference
  70. Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation
  71. Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning
  72. AdaBoost and robust one-bit compressed sensing
  73. Understanding Short-Range Memory Effects in Deep Neural Networks
  74. Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention
  75. Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora
  76. Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images
  77. Few-shot Partial Multi-view Learning
  78. Bayesian Logistic Shape Model Inference: application to cochlea image segmentation
  79. Towards an efficient framework for Data Extraction from Chart Images
  80. Polynomial Graph Parsing with Non-Structural Reentrancies
  81. Non-Autoregressive vs Autoregressive Neural Networks for System Identification
  82. ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer
  83. Real-time Multi-Adaptive-Resolution-Surfel 6D LiDAR Odometry using Continuous-time Trajectory Optimization
  84. Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation
  85. Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors
  86. Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision
  87. AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss
  88. LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing
  89. Evaluation Of Word Embeddings From Large-Scale French Web Content
  90. Software Engineering for AI-Based Systems: A Survey
  91. RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation
  92. Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards
  93. Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning
  94. Perceptual Gradient Networks
  95. Multi-scale Image Decomposition using a Local Statistical Edge Model
  96. Mind Reading at Work: Cooperation without common ground
  97. Continual Learning on the Edge with TensorFlow Lite
  98. Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset
  99. FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstruction
  100. Automated scoring of pre-REM sleep in mice with deep learning
All 139
  1. XAI-KG: knowledge graph to support XAI and decision-making in manufacturing
  2. Instances as Queries
  3. Commonsense Knowledge Base Construction in the Age of Big Data
  4. Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder
  5. SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water
  6. Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud Semantic Segmentation
  7. 4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface
  8. Solving Sokoban with forward-backward reinforcement learning
  9. Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach
  10. MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
  11. CoSA: Scheduling by Constrained Optimization for Spatial Accelerators
  12. Full-Sentence Models Perform Better in Simultaneous Translation Using the Information Enhanced Decoding Strategy
  13. Exploring emotional prototypes in a high dimensional TTS latent space
  14. RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
  15. A Robotic Approach towards Quantifying Epipelagic Bound Plastic Using Deep Visual Models
  16. MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
  17. Change Matters: Medication Change Prediction with Recurrent Residual Networks
  18. Modulating Regularization Frequency for Efficient Compression-Aware Model Training
  19. On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure
  20. Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression
  21. Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization
  22. A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs
  23. Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensors
  24. Two-Stage Stochastic Optimization via Primal-Dual Decomposition and Deep Unrolling
  25. Preference learning along multiple criteria: A game-theoretic perspective
  26. PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML
  27. PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Table Image Recognition to Latex
  28. Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer
  29. CUAB: Convolutional Uncertainty Attention Block Enhanced the Chest X-ray Image Analysis
  30. Encoder Fusion Network with Co-Attention Embedding for Referring Image Segmentation
  31. Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks
  32. Curvatures of Stiefel manifolds with deformation metrics
  33. Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection
  34. TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval
  35. Calibration of Human Driving Behavior and Preference Using Naturalistic Traffic Data
  36. ExcavatorCovid: Extracting Events and Relations from Text Corpora for Temporal and Causal Analysis for COVID-19
  37. Real-time Face Mask Detection in Video Data
  38. Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual
  39. DeepRT: A Soft Real Time Scheduler for Computer Vision Applications on the Edge