mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 19 Feb 2022

81 papers

  1. A Behavior Regularized Implicit Policy for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  2. Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-EncodersDiffusion models → Diffusion foundations and sampling
  3. Reward Modeling for Mitigating Toxicity in Transformer-based Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  4. Teaching Drones on the Fly: Can Emotional Feedback Serve as Learning Signal for Training Artificial Agents?LLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  5. Training Robots without Robots: Deep Imitation Learning for Master-to-Robot Policy TransferOffline RL and imitation learning from data → Robot manipulation imitation learning
  6. TransDreamer: Reinforcement Learning with Transformer World ModelsWorld models → Latent dynamics models and model-based RL
  7. GCNET: graph-based prediction of stock price movement using graph convolutional network
  8. Responsible AI in Healthcare
  9. Wavelet-Based Multi-Class Seizure Type Classification System
  10. Multi-Modal Recurrent Fusion for Indoor Localization
  11. Do Transformers know symbolic rules, and would we know if they did?
  12. Time Series Analysis of Blockchain-Based Cryptocurrency Price Changes
  13. Functional Parcellation of fMRI data using multistage k-means clustering
  14. Under-confidence Backdoors Are Resilient and Stealthy Backdoors
  15. Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications
  16. Differentially Private Regression with Unbounded Covariates
  17. Transformation Coding: Simple Objectives for Equivariant Representations
  18. A Clustering Preserving Transformation for k-Means Algorithm Output
  19. A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network
  20. Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses
  21. A Classical-Quantum Convolutional Neural Network for Detecting Pneumonia from Chest Radiographs
  22. SemEval 2022 Task 12: Symlink- Linking Mathematical Symbols to their Descriptions
  23. MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction
  24. Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning
  25. Is there an aesthetic component of language?
  26. A Variance-Reduced Stochastic Accelerated Primal Dual Algorithm
  27. Generalized Optimistic Methods for Convex-Concave Saddle Point Problems
  28. Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
  29. Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks
  30. Survey of Machine Learning Based Intrusion Detection Methods for Internet of Medical Things
  31. The Pareto Frontier of Instance-Dependent Guarantees in Multi-Player Multi-Armed Bandits with no Communication
  32. MSSNet: Multi-Scale-Stage Network for Single Image Deblurring
  33. Region-Based Semantic Factorization in GANs
  34. Echofilter: A Deep Learning Segmentation Model Improves the Automation, Standardization, and Timeliness for Post-Processing Echosounder Data in Tidal Energy Streams
  35. Navigating Conceptual Space; A new take on Artificial General Intelligence
  36. Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic
  37. Polytopic Matrix Factorization: Determinant Maximization Based Criterion and Identifiability
  38. Deep Single Image Deraining using An Asymetric Cycle Generative and Adversarial Framework
  39. ValAsp: a tool for data validation in Answer Set Programming
  40. CALCS 2021 Shared Task: Machine Translation for Code-Switched Data
  41. Illuminating the Space of Enemies Through MAP-Elites
  42. A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction
  43. MixKG: Mixing for harder negative samples in knowledge graph
  44. Models and Datasets for Cross-Lingual Summarisation
  45. Image-to-Graph Transformers for Chemical Structure Recognition
  46. Tripartite: Tackle Noisy Labels by a More Precise Partition
  47. Diversity in deep generative models and generative AI
  48. Bit-wise Training of Neural Network Weights
  49. Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation Framework
  50. HDAM: Heuristic Difference Attention Module for Convolutional Neural Networks
  51. A Probabilistic Programming Idiom for Active Knowledge Search
  52. SODA: Site Object Detection dAtaset for Deep Learning in Construction
  53. Unpaired Quad-Path Cycle Consistent Adversarial Networks for Single Image Defogging
  54. Student Dangerous Behavior Detection in School
  55. Learning to Detect Slip with Barometric Tactile Sensors and a Temporal Convolutional Neural Network
  56. Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study
  57. BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective
  58. Improving the Level of Autism Discrimination through GraphRNN Link Prediction
  59. C2N: Practical Generative Noise Modeling for Real-World Denoising
  60. The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness
  61. Distributed Out-of-Memory NMF on CPU/GPU Architectures
  62. Deep Learning for Hate Speech Detection: A Comparative Study
  63. Learning a Shield from Catastrophic Action Effects: Never Repeat the Same Mistake
  64. SPNet: A novel deep neural network for retinal vessel segmentation based on shared decoder and pyramid-like loss
  65. Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
  66. PETCI: A Parallel English Translation Dataset of Chinese Idioms
  67. Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion
  68. PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Paths
  69. From Quantum Graph Computing to Quantum Graph Learning: A Survey
  70. Graph Spring Network and Informative Anchor Selection for Session-based Recommendation
  71. Parsed Categoric Encodings with Automunge
  72. Gradient Estimation with Discrete Stein Operators
  73. Numeric Encoding Options with Automunge
  74. Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection
  75. Shaping Advice in Deep Reinforcement Learning
  76. SAGE: SLAM with Appearance and Geometry Prior for Endoscopy
  77. Suitability of Different Metric Choices for Concept Drift Detection
  78. Missing Data Infill with Automunge
  79. Data-Driven Mitigation of Adversarial Text Perturbation
  80. Reciprocity in Machine Learning
  81. Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks