mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 6 Nov 2022

84 papers

  1. Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  2. Unlearning Graph Classifiers with Limited Data ResourcesLLM safety and security → Graph unlearning
  3. Suffix Retrieval-Augmented Language ModelingRetrieval-augmented generation → Generation and context integration
  4. Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep Imitation Learning ModelsOffline RL and imitation learning from data → Robot manipulation imitation learning
  5. Node-wise Domain Adaptation Based on Transferable Attention for Recognizing Road Rage via EEG
  6. Sequential Transformer for End-to-End Person Search
  7. Knowledge Retrieval using Foon
  8. Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning
  9. Parallel Attention Forcing for Machine Translation
  10. Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks
  11. A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs
  12. Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions
  13. Rotation-equivariant Graph Neural Networks for Learning Glassy Liquids Representations
  14. Cementron: Machine Learning the Constituent Phases in Cement Clinker from Optical Images
  15. B-SMART: A Reference Architecture for Artificially Intelligent Autonomic Smart Buildings
  16. Deliberation Networks and How to Train Them
  17. Towards real-time 6D pose estimation of objects in single-view cone-beam X-ray
  18. Recent Developments in Structure-Based Virtual Screening Approaches
  19. "Seeing Sound": Audio Classification with the Wigner-Wille Distribution and Convolutional Neural Networks
  20. KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles
  21. Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation
  22. Evaluating Digital Tools for Sustainable Agriculture using Causal Inference
  23. Applying Association Rules Mining to Investigate Pedestrian Fatal and Injury Crash Patterns Under Different Lighting Conditions
  24. Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning
  25. A Deep-Unfolded Spatiotemporal RPCA Network For L+S Decomposition
  26. Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection
  27. Personalizing Sustainable Agriculture with Causal Machine Learning
  28. Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems
  29. Direct deduction of chemical class from NMR spectra
  30. Learning Riemannian Stable Dynamical Systems via Diffeomorphisms
  31. Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
  32. ProtoX: Explaining a Reinforcement Learning Agent via Prototyping
  33. Examining the Differential Risk from High-level Artificial Intelligence and the Question of Control
  34. On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey
  35. Noisy Channel for Automatic Text Simplification
  36. LG-Hand: Advancing 3D Hand Pose Estimation with Locally and Globally Kinematic Knowledge
  37. UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection
  38. MiddleGAN: Generate Domain Agnostic Samples for Unsupervised Domain Adaptation
  39. MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task Image Manipulation Detection and Localization
  40. Design Process is a Reinforcement Learning Problem
  41. WeakIdent: Weak formulation for Identifying Differential Equations using Narrow-fit and Trimming
  42. Confidence-Ranked Reconstruction of Census Microdata from Published Statistics
  43. StuArt: Individualized Classroom Observation of Students with Automatic Behavior Recognition and Tracking
  44. Going In Style: Audio Backdoors Through Stylistic Transformations
  45. A Sequence Agnostic Multimodal Preprocessing for Clogged Blood Vessel Detection in Alzheimer's Diagnosis
  46. Predicting User-specific Future Activities using LSTM-based Multi-label Classification
  47. Prediction of superconducting properties of materials based on machine learning models
  48. A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
  49. Contrastive Weighted Learning for Near-Infrared Gaze Estimation
  50. BriFiSeg: a deep learning-based method for semantic and instance segmentation of nuclei in brightfield images
  51. MAIL: Malware Analysis Intermediate Language
  52. Enabling Deep Learning-based Physical-layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments
  53. ViT-CX: Causal Explanation of Vision Transformers
  54. Developing Decentralised Resilience to Malicious Influence in Collective Perception Problem
  55. MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination of Multi-Sequence CMR Images
  56. Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation Threads
  57. Towards Real World HDRTV Reconstruction: A Data Synthesis-based Approach
  58. Learning Dual-Fused Modality-Aware Representations for RGBD Tracking
  59. ODBAE: a high-performance model identifying complex phenotypes in high-dimensional biological datasets
  60. Confidence Intervals for Unobserved Events
  61. Multilayer Perceptron Network Discriminates Larval Zebrafish Genotype using Behaviour
  62. Learning body models: from humans to humanoids
  63. Knowledge is Power: Understanding Causality Makes Legal judgment Prediction Models More Generalizable and Robust
  64. Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
  65. Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates
  66. Prompt-based Text Entailment for Low-Resource Named Entity Recognition
  67. Knowledge Retrieval using Functional Object-Oriented Network
  68. Synthetic Data for Feature Selection
  69. Efficient Traffic State Forecasting using Spatio-Temporal Network Dependencies: A Sparse Graph Neural Network Approach
  70. Decentralized Policy Optimization
  71. Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain
  72. Bridging Speech and Textual Pre-trained Models with Unsupervised ASR
  73. High-Fidelity Simulation and Novel Data Analysis of the Bubble Creation and Sound Generation Processes in Breaking Waves
  74. Physics Informed Machine Learning for Chemistry Tabulation
  75. Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass
  76. Hear The Flow: Optical Flow-Based Self-Supervised Visual Sound Source Localization
  77. Learning-based Inverse Rendering of Complex Indoor Scenes with Differentiable Monte Carlo Raytracing
  78. Robust Lottery Tickets for Pre-trained Language Models
  79. On learning history based policies for controlling Markov decision processes
  80. A Geometrically Constrained Point Matching based on View-invariant Cross-ratios, and Homography
  81. Bringing Online Egocentric Action Recognition into the wild
  82. Learning to Annotate Part Segmentation with Gradient Matching
  83. Distilling Representations from GAN Generator via Squeeze and Span
  84. Foon Creation