mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 26 Mar 2023

100 papers

  1. MRI Reconstruction with Side Information using Diffusion ModelsDiffusion models → Medical imaging and segmentation
  2. Natural Language Reasoning, A SurveyLLM reasoning → Reasoning benchmarks and evaluation
  3. Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learningOffline RL and imitation learning from data → Offline RL algorithms
  4. Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  5. Inverse Reinforcement Learning without Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
  6. Neural Graph Reasoning: Complex Logical Query Answering Meets Graph DatabasesLLM reasoning → Knowledge- and tool-augmented reasoning
  7. GestureDiffuCLIP: Gesture Diffusion Model with CLIP LatentsDiffusion models → Audio, speech and music
  8. PORE: Provably Robust Recommender Systems against Data Poisoning AttacksLLM safety and security → Membership inference attacks
  9. Preserving Linear Separability in Continual Learning by Backward Feature ProjectionKnowledge distillation → Distillation for continual learning
  10. Galaxy Classification Using Transfer Learning and Ensemble of CNNs With Multiple Colour Spaces
  11. AI-Generated Content (AIGC): A Survey
  12. Attention-based Learning for Sleep Apnea and Limb Movement Detection using Wi-Fi CSI Signals
  13. Boosting Few-Shot Text Classification via Distribution Estimation
  14. Deep transfer learning for detecting Covid-19, Pneumonia and Tuberculosis using CXR images -- A Review
  15. Guided Transfer Learning
  16. Causal Modelling of Cryptocurrency Price Movements Using Discretisation-Aware Bayesian Networks
  17. Feature Engineering Methods on Multivariate Time-Series Data for Financial Data Science Competitions
  18. Common Subexpression-based Compression and Multiplication of Sparse Constant Matrices
  19. Lazy learning: a biologically-inspired plasticity rule for fast and energy efficient synaptic plasticity
  20. Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks
  21. Exploring the Performance of Pruning Methods in Neural Networks: An Empirical Study of the Lottery Ticket Hypothesis
  22. Adaptive Log-Euclidean Metrics for SPD Matrix Learning
  23. A Heterogeneous Parallel Non-von Neumann Architecture System for Accurate and Efficient Machine Learning Molecular Dynamics
  24. Automatic Number Plate Recognition using Random Forest Classifier
  25. Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma
  26. Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels
  27. On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks
  28. Lightweight Estimation of Hand Mesh and Biomechanically Feasible Kinematic Parameters
  29. Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis
  30. SEM-POS: Grammatically and Semantically Correct Video Captioning
  31. VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting
  32. MGTBench: Benchmarking Machine-Generated Text Detection
  33. Frame Flexible Network
  34. Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers
  35. WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
  36. Learning Generative Models with Goal-conditioned Reinforcement Learning
  37. A Contrastive Learning Scheme with Transformer Innate Patches
  38. FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions
  39. Multi-Phase Relaxation Labeling for Square Jigsaw Puzzle Solving
  40. RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning
  41. BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
  42. Delta-Patching: A Framework for Rapid Adaptation of Pre-trained Convolutional Networks without Base Performance Loss
  43. Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning
  44. Koala: An Index for Quantifying Overlaps with Pre-training Corpora
  45. Collaborative Noisy Label Cleaner: Learning Scene-aware Trailers for Multi-modal Highlight Detection in Movies
  46. Extrapolation to complete basis-set limit in density-functional theory by quantile random-forest models
  47. Does "Deep Learning on a Data Diet" reproduce? Overall yes, but GraNd at Initialization does not
  48. Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimation
  49. Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing
  50. Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection
  51. Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use Cases
  52. Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction
  53. Disentangling Writer and Character Styles for Handwriting Generation
  54. Interpretable Linear Dimensionality Reduction based on Bias-Variance Analysis
  55. Joint fMRI Decoding and Encoding with Latent Embedding Alignment
  56. You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene Understanding
  57. Learning Generative Structure Prior for Blind Text Image Super-resolution
  58. Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data
  59. CelebV-Text: A Large-Scale Facial Text-Video Dataset
  60. Unsupervised detection of small hyperreflective features in ultrahigh resolution optical coherence tomography
  61. Exploring Multimodal Sentiment Analysis via CBAM Attention and Double-layer BiLSTM Architecture
  62. Clean-NeRF: Reformulating NeRF to account for View-Dependent Observations
  63. BlobGAN-3D: A Spatially-Disentangled 3D-Aware Generative Model for Indoor Scenes
  64. Control of synaptic plasticity via the fusion of reinforcement learning and unsupervised learning in neural networks
  65. Task-oriented Memory-efficient Pruning-Adapter
  66. Exploring the Interplay Between Colorectal Cancer Subtypes Genomic Variants and Cellular Morphology: A Deep-Learning Approach
  67. Learning Versatile 3D Shape Generation with Improved AR Models
  68. A stability theorem for bigraded persistence barcodes
  69. Robotic Packaging Optimization with Reinforcement Learning
  70. Object-Centric Relational Representations for Image Generation
  71. ZBS: Zero-shot Background Subtraction via Instance-level Background Modeling and Foreground Selection
  72. PDPP: Projected Diffusion for Procedure Planning in Instructional Videos
  73. Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs
  74. CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows
  75. Achieving Counterfactual Fairness with Imperfect Structural Causal Model
  76. OTAvatar: One-shot Talking Face Avatar with Controllable Tri-plane Rendering
  77. Fast Rate Information-theoretic Bounds on Generalization Errors
  78. GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation
  79. SDTracker: Synthetic Data Based Multi-Object Tracking
  80. Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
  81. You Only Segment Once: Towards Real-Time Panoptic Segmentation
  82. Farspredict: A benchmark dataset for link prediction
  83. A Survey of Machine Learning-Based Ride-Hailing Planning
  84. Sector Patch Embedding: An Embedding Module Conforming to The Distortion Pattern of Fisheye Image
  85. Affordance Grounding from Demonstration Video to Target Image
  86. POAR: Towards Open Vocabulary Pedestrian Attribute Recognition
  87. CRRS: Concentric Rectangles Regression Strategy for Multi-point Representation on Fisheye Images
  88. An Evaluation of Memory Optimization Methods for Training Neural Networks
  89. Temporal Egonet Subgraph Transitions
  90. Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes
  91. MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification
  92. Guiding AI-Generated Digital Content with Wireless Perception
  93. BoxVIS: Video Instance Segmentation with Box Annotations
  94. Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning
  95. Deepfake in the Metaverse: Security Implications for Virtual Gaming, Meetings, and Offices
  96. Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability
  97. Green Federated Learning
  98. Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design
  99. FairGAT: Fairness-aware Graph Attention Networks
  100. SASS: Data and Methods for Subject Aware Sentence Simplification