mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 15 Oct 2022

116 papers

  1. RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical ImagingKnowledge distillation → Distillation for medical imaging
  2. A Policy-Guided Imitation Approach for Offline Reinforcement LearningOffline RL and imitation learning from data → Imitation learning methods
  3. Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel SupervisionsKnowledge distillation → Detection and dense prediction distillation
  4. A User Interface for Sense-making of the Reasoning Process while Interacting with RobotsLLM reasoning → Spatial and embodied reasoning
  5. Near-Optimal Regret Bounds for Multi-batch Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  6. Self-Distillation for Unsupervised 3D Domain AdaptationKnowledge distillation → Detection and dense prediction distillation
  7. Deep Regression UnlearningLLM safety and security → Machine unlearning
  8. Convolutional Long Short-Term Memory (convLSTM) for Spatio-Temporal Forecastings of Saturations and Pressure in the SACROC Field
  9. Controlling Travel Path of Original Cobra
  10. POGD: Gradient Descent with New Stochastic Rules
  11. G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System
  12. Off-policy evaluation for learning-to-rank via interpolating the item-position model and the position-based model
  13. A Multilevel Reinforcement Learning Framework for PDE-based Control
  14. SPIDR: SDF-based Neural Point Fields for Illumination and Deformation
  15. Taxonomy of A Decision Support System for Adaptive Experimental Design in Field Robotics
  16. mRI: Multi-modal 3D Human Pose Estimation Dataset using mmWave, RGB-D, and Inertial Sensors
  17. Distributed Estimation and Inference for Semi-parametric Binary Response Models
  18. The Effects of Partitioning Strategies on Energy Consumption in Distributed CNN Inference at The Edge
  19. Video in 10 Bits: Few-Bit VideoQA for Efficiency and Privacy
  20. SOCIALMAPF: Optimal and Efficient Multi-Agent Path Finding with Strategic Agents for Social Navigation
  21. Semantic Video Moments Retrieval at Scale: A New Task and a Baseline
  22. Revisiting the Roles of "Text" in Text Games
  23. Machine-Learning Love: classifying the equation of state of neutron stars with Transformers
  24. Variant Parallelism: Lightweight Deep Convolutional Models for Distributed Inference on IoT Devices
  25. Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining
  26. Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
  27. Active Learning with Neural Networks: Insights from Nonparametric Statistics
  28. Data-Efficient Augmentation for Training Neural Networks
  29. PAR: Political Actor Representation Learning with Social Context and Expert Knowledge
  30. MIXER: Multiattribute, Multiway Fusion of Uncertain Pairwise Affinities
  31. The Influence of Multiple Classes on Learning Online Classifiers from Imbalanced and Concept Drifting Data Streams
  32. HUDD: A tool to debug DNNs for safety analysis
  33. A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing
  34. MGNNI: Multiscale Graph Neural Networks with Implicit Layers
  35. Self-Improving SLAM in Dynamic Environments: Learning When to Mask
  36. When to Update Your Model: Constrained Model-based Reinforcement Learning
  37. Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications
  38. Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative Representations
  39. How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  40. Modular machine learning-based elastoplasticity: generalization in the context of limited data
  41. Symbolic Recovery of Differential Equations: The Identifiability Problem
  42. Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
  43. Reachable Polyhedral Marching (RPM): An Exact Analysis Tool for Deep-Learned Control Systems
  44. Fair Effect Attribution in Parallel Online Experiments
  45. Decoupling Deep Learning for Interpretable Image Recognition
  46. Code Recommendation for Open Source Software Developers
  47. Combination Of Convolution Neural Networks And Deep Neural Networks For Fake News Detection
  48. Aplicaci'on de redes neuronales convolucionales profundas al diagn'ostico asistido de la enfermedad de Alzheimer
  49. Distributionally Robust Causal Inference with Observational Data
  50. Construction Repetition Reduces Information Rate in Dialogue
  51. A Scalable Reinforcement Learning Approach for Attack Allocation in Swarm to Swarm Engagement Problems
  52. CoRe: An Automated Pipeline for The Prediction of Liver Resection Complexity from Preoperative CT Scans
  53. Call Graph Evolution Analytics over a Version Series of an Evolving Software System
  54. MoRSE: Deep Learning-based Arm Gesture Recognition for Search and Rescue Operations
  55. PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds
  56. Improving Radiology Summarization with Radiograph and Anatomy Prompts
  57. A Secure Federated Data-Driven Evolutionary Multi-objective Optimization Algorithm
  58. Prediction Calibration for Generalized Few-shot Semantic Segmentation
  59. AI-powered mechanisms as judges: Breaking ties in chess
  60. Transformer-based dimensionality reduction
  61. Linear Scalarization for Byzantine-robust learning on non-IID data
  62. FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation
  63. AraLegal-BERT: A pretrained language model for Arabic Legal text
  64. LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic
  65. Robot Navigation Anticipative Strategies in Deep Reinforcement Motion Planning
  66. Deep Differentiable Logic Gate Networks
  67. Classification of Web Phishing Kits for early detection by platform providers
  68. Product Ranking for Revenue Maximization with Multiple Purchases
  69. MenuAI: Restaurant Food Recommendation System via a Transformer-based Deep Learning Model
  70. Reinforcement Learning for ConnectX
  71. Motion estimation and filtered prediction for dynamic point cloud attribute compression
  72. Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques
  73. DI-NIDS: Domain Invariant Network Intrusion Detection System
  74. Improving Your Graph Neural Networks: A High-Frequency Booster
  75. UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation
  76. A Closer Look at the Calibration of Differentially Private Learners
  77. Extreme-Long-short Term Memory for Time-series Prediction
  78. Substructure-Atom Cross Attention for Molecular Representation Learning
  79. RAPS: A Novel Few-Shot Relation Extraction Pipeline with Query-Information Guided Attention and Adaptive Prototype Fusion
  80. Hand Gestures Recognition in Videos Taken with Lensless Camera
  81. A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution
  82. Learned Video Compression for YUV 4:2:0 Content Using Flow-based Conditional Inter-frame Coding
  83. Unveiling the Sampling Density in Non-Uniform Geometric Graphs
  84. PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
  85. UDoc-GAN: Unpaired Document Illumination Correction with Background Light Prior
  86. D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments
  87. Providing Error Detection for Deep Learning Image Classifiers Using Self-Explainability
  88. Large Language Models for Multi-label Propaganda Detection
  89. Temporal Word Meaning Disambiguation using TimeLMs
  90. Active Learning from the Web
  91. Unit Selection: Learning Benefit Function from Finite Population Data
  92. IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance Fields
  93. Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers
  94. DyFEn: Agent-Based Fee Setting in Payment Channel Networks
  95. HP-GMN: Graph Memory Networks for Heterophilous Graphs
  96. Parameter-free Dynamic Graph Embedding for Link Prediction
  97. How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
  98. Machine Learning Approach for Predicting Students Academic Performance and Study Strategies based on their Motivation
  99. GFlowCausal: Generative Flow Networks for Causal Discovery
  100. Label distribution learning via label correlation grid
All 116
  1. Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation
  2. Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network
  3. Is Face Recognition Safe from Realizable Attacks?
  4. Invertible Monotone Operators for Normalizing Flows
  5. Generating Synthetic Speech from SpokenVocab for Speech Translation
  6. Attention Regularized Laplace Graph for Domain Adaptation
  7. Self-supervised Graph Learning for Long-tailed Cognitive Diagnosis
  8. MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation
  9. Linear Video Transformer with Feature Fixation
  10. AMD-DBSCAN: An Adaptive Multi-density DBSCAN for datasets of extremely variable density
  11. Geometric Representation Learning for Document Image Rectification
  12. Learning Dual Memory Dictionaries for Blind Face Restoration
  13. Dynamics-aware Adversarial Attack of Adaptive Neural Networks
  14. CUP: Critic-Guided Policy Reuse
  15. ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model
  16. Distance and Kernel-Based Measures for Global and Local Two-Sample Conditional Distribution Testing