mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 27 Aug 2023

99 papers

  1. End-to-end Autonomous Driving using Deep Learning: A Systematic ReviewEnd-to-end autonomous driving → End-to-end system architecture
  2. SketchDreamer: Interactive Text-Augmented Creative Sketch IdeationDiffusion models → Image generation, text-to-image and editing
  3. Score-Based Generative Models for PET Image ReconstructionDiffusion models → Medical imaging and segmentation
  4. Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIPMechanistic interpretability → Interpreting vision and multimodal models
  5. Detecting Language Model Attacks with PerplexityLLM safety and security → Jailbreaking
  6. Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse ViewsDiffusion models → 3D, point cloud and scene generation
  7. Multi-plane denoising diffusion-based dimensionality expansion for 2D-to-3D reconstruction of microstructures with harmonized samplingDiffusion models → Flow matching, time series and science
  8. Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult CurriculumLLM agents and tool use → Tool learning and function calling
  9. Building explainable graph neural network by sparse learning for the drug-protein binding prediction
  10. High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods
  11. VoiceBank-2023: A Multi-Speaker Mandarin Speech Corpus for Constructing Personalized TTS Systems for the Speech Impaired
  12. Modeling Player Personality Factors from In-Game Behavior and Affective Expression
  13. High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net
  14. On Active Learning for Gaussian Process-based Global Sensitivity Analysis
  15. Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact
  16. Machine Learning for Administrative Health Records: A Systematic Review of Techniques and Applications
  17. TimeTrail: Unveiling Financial Fraud Patterns through Temporal Correlation Analysis
  18. Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation
  19. Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy
  20. Predictive Sparse Manifold Transform
  21. Using Knowledge Representation and Task Planning for Robot-agnostic Skills on the Example of Contact-Rich Wiping Tasks
  22. Symbolic and Language Agnostic Large Language Models
  23. Empowering Cross-lingual Abilities of Instruction-tuned Large Language Models by Translation-following demonstrations
  24. Generative AI for Business Strategy: Using Foundation Models to Create Business Strategy Tools
  25. Class-Imbalanced Graph Learning without Class Rebalancing
  26. AI-Generated Content (AIGC) for Various Data Modalities: A Survey
  27. Leveraging Linear Independence of Component Classifiers: Optimizing Size and Prediction Accuracy for Online Ensembles
  28. Integrated Approach of Gearbox Fault Diagnosis
  29. A Markov Random Field model for Hypergraph-based Machine Learning
  30. Distributional Off-Policy Evaluation for Slate Recommendations
  31. Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust
  32. Intergrated Segmentation and Detection Models for Dentex Challenge 2023
  33. A Unified Transformer-based Network for multimodal Emotion Recognition
  34. Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks
  35. Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers
  36. Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models
  37. Learning end-to-end inversion of circular Radon transforms in the partial radial setup
  38. Integrated Variational Fourier Features for Fast Spatial Modelling with Gaussian Processes
  39. Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars
  40. SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding
  41. Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation
  42. Large Language Models Streamline Automated Machine Learning for Clinical Studies
  43. Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario
  44. Situated Natural Language Explanations
  45. Hybrid Transformer-RNN Architecture for Household Occupancy Detection Using Low-Resolution Smart Meter Data
  46. Semantic-aware Consistency Network for Cloth-changing Person Re-Identification
  47. MARL for Decentralized Electric Vehicle Charging Coordination with V2V Energy Exchange
  48. Depth self-supervision for single image novel view synthesis
  49. Unified and Dynamic Graph for Temporal Character Grouping in Long Videos
  50. Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy
  51. Towards Unified Token Learning for Vision-Language Tracking
  52. Superpixels algorithms through network community detection
  53. Rethinking Exemplars for Continual Semantic Segmentation in Endoscopy Scenes: Entropy-based Mini-Batch Pseudo-Replay
  54. The inverse problem for neural networks
  55. MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
  56. A comprehensive review on Plant Leaf Disease detection using Deep learning
  57. Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective
  58. Practical Edge Detection via Robust Collaborative Learning
  59. 4D Myocardium Reconstruction with Decoupled Motion and Shape Model
  60. Reconstructing Interacting Hands with Interaction Prior from Monocular Images
  61. U-SEANNet: A Simple, Efficient and Applied U-Shaped Network for Diagnosis of Nasal Diseases on Nasal Endoscopic Images
  62. An Analysis of On-the-fly Determinization of Finite-state Automata
  63. A Novel Multi-scale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification
  64. FaceCoresetNet: Differentiable Coresets for Face Set Recognition
  65. Nonrigid Object Contact Estimation With Regional Unwrapping Transformer
  66. DETDet: Dual Ensemble Teeth Detection
  67. Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks
  68. Multi-model fusion for Aerial Vision and Dialog Navigation based on human attention aids
  69. Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection
  70. Pruning the Unlabeled Data to Improve Semi-Supervised Learning
  71. MM-AU:Towards Multimodal Understanding of Advertisement Videos
  72. PECon: Contrastive Pretraining to Enhance Feature Alignment between CT and EHR Data for Improved Pulmonary Embolism Diagnosis
  73. A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy
  74. Automatic coarse co-registration of point clouds from diverse scan geometries: a test of detectors and descriptors
  75. Deep Learning for Visual Localization and Mapping: A Survey
  76. MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing
  77. Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning
  78. Text Matching Improves Sequential Recommendation by Reducing Popularity Biases
  79. Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition
  80. Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation
  81. A Comparison of Neural Networks for Wireless Channel Prediction
  82. VQ-Font: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization
  83. Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning
  84. Towards Fast and Accurate Image-Text Retrieval with Self-Supervised Fine-Grained Alignment
  85. Calibrating Panoramic Depth Estimation for Practical Localization and Mapping
  86. Online GentleAdaBoost -- Technical Report
  87. High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach
  88. Computation-efficient Deep Learning for Computer Vision: A Survey
  89. Adaptive Fusion of Radiomics and Deep Features for Lung Adenocarcinoma Subtype Recognition
  90. Improve in-situ life prediction and classification performance by capturing both the present state and evolution rate of battery aging
  91. Optimal Projections for Discriminative Dictionary Learning using the JL-lemma
  92. LDL: Line Distance Functions for Panoramic Localization
  93. Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective
  94. Image Coding for Machines with Object Region Learning
  95. Interpolation of mountain weather forecasts by machine learning
  96. Universal Graph Continual Learning
  97. Enhancing Bloodstain Analysis Through AI-Based Segmentation: Leveraging Segment Anything Model for Crime Scene Investigation
  98. A Graph Neural Network-Based QUBO-Formulated Hamiltonian-Inspired Loss Function for Combinatorial Optimization using Reinforcement Learning
  99. Label Denoising through Cross-Model Agreement