mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 11 Jun 2022

76 papers

  1. Federated Offline Reinforcement LearningOffline RL and imitation learning from data → Safe offline RL
  2. NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference AttacksLLM safety and security → Membership inference attacks
  3. gDDIM: Generalized denoising diffusion implicit modelsDiffusion models → Diffusion foundations and sampling
  4. Model-based Offline Imitation Learning with Non-expert DataOffline RL and imitation learning from data → Imitation learning methods
  5. Reducing Capacity Gap in Knowledge Distillation with Review Mechanism for Crowd CountingKnowledge distillation → General knowledge distillation methods
  6. Multi-instrument Music Synthesis with Spectrogram DiffusionDiffusion models → Audio, speech and music
  7. A Benchmark for Compositional Visual ReasoningLLM reasoning → Multimodal reasoning
  8. Defending Adversarial Examples by Negative Correlation Ensemble
  9. Grid-SiPhyR: An end-to-end learning to optimize framework for combinatorial problems in power systems
  10. Physics-driven Deep Learning for PET/MRI
  11. Mathematical Theory of Bayesian Statistics for Unknown Information Source
  12. Exploring the Intersection between Neural Architecture Search and Continual Learning
  13. Deep Learning Models for Automated Classification of Dog Emotional States from Facial Expressions
  14. Synthetic PET via Domain Translation of 3D MRI
  15. Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology
  16. Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review
  17. Gradient Boosting Performs Gaussian Process Inference
  18. A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation
  19. Can the Language of the Collation be Translated into the Language of the Stemma? Using Machine Translation for Witness Localization
  20. RadNet: Incident Prediction in Spatio-Temporal Road Graph Networks Using Traffic Forecasting
  21. Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning
  22. MammoFL: Mammographic Breast Density Estimation using Federated Learning
  23. Parameter Convex Neural Networks
  24. Communication-Efficient Robust Federated Learning with Noisy Labels
  25. A Unified Continuous Learning Framework for Multi-modal Knowledge Discovery and Pre-training
  26. Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
  27. Surround-View Cameras based Holistic Visual Perception for Automated Driving
  28. A Simplified Un-Supervised Learning Based Approach for Ink Mismatch Detection in Handwritten Hyper-Spectral Document Images
  29. Rare event failure test case generation in Learning-Enabled-Controllers
  30. Detecting Context-Aware Deviations in Process Executions
  31. Memorization-Dilation: Modeling Neural Collapse Under Label Noise
  32. A Two-stage Method for Non-extreme Value Salt-and-Pepper Noise Removal
  33. Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models
  34. Investigation of Ensemble features of Self-Supervised Pretrained Models for Automatic Speech Recognition
  35. Deep Learning-Based MR Image Re-parameterization
  36. Toward Real-world Single Image Deraining: A New Benchmark and Beyond
  37. Improving the Adversarial Robustness of NLP Models by Information Bottleneck
  38. Federated Learning with GAN-based Data Synthesis for Non-IID Clients
  39. Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks
  40. A Review of Causality for Learning Algorithms in Medical Image Analysis
  41. Mutation Models: Learning to Generate Levels by Imitating Evolution
  42. An Evaluation of OCR on Egocentric Data
  43. DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting
  44. Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound
  45. Kaggle Kinship Recognition Challenge: Introduction of Convolution-Free Model to boost conventional
  46. Scientific Inference With Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena
  47. Bilateral Dependency Optimization: Defending Against Model-inversion Attacks
  48. CodeS: Towards Code Model Generalization Under Distribution Shift
  49. Monitoring and Proactive Management of QoS Levels in Pervasive Applications
  50. Comparative Snippet Generation
  51. Differentiable Projection from Optical Coherence Tomography B-Scan without Retinal Layer Segmentation Supervision
  52. Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics Challenge 2021
  53. Hierarchical Conditional Variational Autoencoder Based Acoustic Anomaly Detection
  54. A General framework for PAC-Bayes Bounds for Meta-Learning
  55. Improving Accuracy of Interpretability Measures in Hyperparameter Optimization via Bayesian Algorithm Execution
  56. A Decomposition-Based Approach for Evaluating and Analyzing Inter-Annotator Disagreement
  57. From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams
  58. ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
  59. Luminance-Guided Chrominance Image Enhancement for HEVC Intra Coding
  60. Learned reconstruction methods with convergence guarantees
  61. Precise Affordance Annotation for Egocentric Action Video Datasets
  62. Access Control of Semantic Segmentation Models Using Encrypted Feature Maps
  63. Greedy Relaxations of the Sparsest Permutation Algorithm
  64. VAC2: Visual Analysis of Combined Causality in Event Sequences
  65. SAIBench: Benchmarking AI for Science
  66. Semi-Supervised Hierarchical Graph Classification
  67. Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency
  68. Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits
  69. High-Definition Map Generation Technologies For Autonomous Driving
  70. Building a Personalized Dialogue System with Prompt-Tuning
  71. E2PN: Efficient SE(3)-Equivariant Point Network
  72. Why is constrained neural language generation particularly challenging?
  73. Applications of Deep Learning in Fish Habitat Monitoring: A Tutorial and Survey
  74. Feature Selection using e-values
  75. Overcoming Annotation Bottlenecks in Underwater Fish Segmentation: A Robust Self-Supervised Learning Approach
  76. Learning Imbalanced Datasets with Maximum Margin Loss