mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 5 Feb 2023

89 papers

  1. Multi-View Masked World Models for Visual Robotic ManipulationWorld models → Embodied and robot world models
  2. Diffusion Model for Generative Image DenoisingDiffusion models → Diffusion foundations and sampling
  3. Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle DiffusionDiffusion models → Image generation, text-to-image and editing
  4. Offline Minimax Soft-Q-learning Under Realizability and Partial CoverageOffline RL and imitation learning from data → Offline RL algorithms
  5. ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion TrajectoriesDiffusion models → Diffusion foundations and sampling
  6. Using Intermediate Forward Iterates for Intermediate Generator OptimizationDiffusion models → Diffusion foundations and sampling
  7. Run-Off Election: Improved Provable Defense against Data Poisoning AttacksLLM safety and security → Backdoor and data poisoning attacks
  8. ReDi: Efficient Learning-Free Diffusion Inference via Trajectory RetrievalDiffusion models → Diffusion foundations and sampling
  9. Design Booster: A Text-Guided Diffusion Model for Image Translation with Spatial Layout PreservationDiffusion models → Image generation, text-to-image and editing
  10. SE(3) diffusion model with application to protein backbone generationDiffusion models → Flow matching, time series and science
  11. Divide and Compose with Score Based Generative ModelsDiffusion models → Diffusion foundations and sampling
  12. Self-supervised Geometric Features Discovery via Interpretable Attentio for Vehicle Re-Identification and Beyond (Complete Version)
  13. Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction
  14. Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle
  15. Learning Interpretable Low-dimensional Representation via Physical Symmetry
  16. An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction
  17. Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy
  18. Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization
  19. AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios
  20. A Convex Hull Cheapest Insertion Heuristic for the Non-Euclidean TSP
  21. The Gradient of Generative AI Release: Methods and Considerations
  22. Meta-Learning Siamese Network for Few-Shot Text Classification
  23. Exploring Data Augmentation for Code Generation Tasks
  24. MAC: A unified framework boosting low resource automatic speech recognition
  25. LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI
  26. Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning
  27. Motion-compensated MR CINE reconstruction with reconstruction-driven motion estimation
  28. Leaving Reality to Imagination: Robust Classification via Generated Datasets
  29. Rethinking Robust Contrastive Learning from the Adversarial Perspective
  30. TempEL: Linking Dynamically Evolving and Newly Emerging Entities
  31. Handwriting and Drawing for Depression Detection: A Preliminary Study
  32. High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors
  33. Multi-Task Self-Supervised Learning for Image Segmentation Task
  34. Hatemongers ride on echo chambers to escalate hate speech diffusion
  35. Offline Learning of Closed-Loop Deep Brain Stimulation Controllers for Parkinson Disease Treatment
  36. Nationality Bias in Text Generation
  37. Nonparametric Density Estimation under Distribution Drift
  38. Deep Learning Approach for Early Stage Lung Cancer Detection
  39. Know, Grow, and Protect Net Worth: Using ML for Asset Protection by Preventing Overdraft Fees
  40. FineDeb: A Debiasing Framework for Language Models
  41. KDEformer: Accelerating Transformers via Kernel Density Estimation
  42. Regularization and Optimization in Model-Based Clustering
  43. Spatio-Temporal Point Process for Multiple Object Tracking
  44. Tighter Information-Theoretic Generalization Bounds from Supersamples
  45. Biologically inspired ChaosNet architecture for Hypothetical Protein Classification
  46. Online Nonstochastic Control with Adversarial and Static Constraints
  47. Variational Inference on the Final-Layer Output of Neural Networks
  48. deep learning of segment-level feature representation for speech emotion recognition in conversations
  49. Mixture of Diffusers for scene composition and high resolution image generation
  50. Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image
  51. HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks
  52. Pre-screening breast cancer with machine learning and deep learning
  53. Convergence Analysis of the Deep Galerkin Method for Weak Solutions
  54. The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default
  55. Towards Efficient Subarray Hybrid Beamforming: Attention Network-based Practical Feedback in FDD Massive MU-MIMO Systems
  56. Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced Exploration
  57. Quantized Distributed Training of Large Models with Convergence Guarantees
  58. Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network
  59. FastPillars: A Deployment-friendly Pillar-based 3D Detector
  60. An adaptive large neighborhood search heuristic for the multi-port continuous berth allocation problem
  61. Towards Precision in Appearance-based Gaze Estimation in the Wild
  62. Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization
  63. Explainable Machine Learning: The Importance of a System-Centric Perspective
  64. VuLASTE: Long Sequence Model with Abstract Syntax Tree Embedding for vulnerability Detection
  65. LExecutor: Learning-Guided Execution
  66. Regulating ChatGPT and other Large Generative AI Models
  67. Semi-Supervised Domain Adaptation with Source Label Adaptation
  68. Revisiting Discriminative vs. Generative Classifiers: Theory and Implications
  69. Learning in quantum games
  70. CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning
  71. Pyramid Self-attention Polymerization Learning for Semi-supervised Skeleton-based Action Recognition
  72. Improving Fair Training under Correlation Shifts
  73. Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
  74. Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation
  75. Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semi-Supervised Skeleton-based Action Recognition
  76. CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image Classification
  77. Fair Spatial Indexing: A paradigm for Group Spatial Fairness
  78. Precursor recommendation for inorganic synthesis by machine learning materials similarity from scientific literature
  79. Achieving Robust Generalization for Wireless Channel Estimation Neural Networks by Designed Training Data
  80. Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization
  81. Open Problems and Modern Solutions for Deep Reinforcement Learning
  82. A Disparity Refinement Framework for Learning-based Stereo Matching Methods in Cross-domain Setting for Laparoscopic Images
  83. RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference
  84. A Semantic Approach to Negation Detection and Word Disambiguation with Natural Language Processing
  85. Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation
  86. Recurrence With Correlation Network for Medical Image Registration
  87. JPEG Steganalysis Based on Steganographic Feature Enhancement and Graph Attention Learning
  88. Unleashing the True Potential of Sequence-to-Sequence Models for Sequence Tagging and Structure Parsing
  89. Machine Learning Methods for Evaluating Public Crisis: Meta-Analysis