mlsanityData to 7 Oct 2026

Papers

New on arXiv

Sun 13 Aug 2023

81 papers

  1. Diagnostic Reasoning Prompts Reveal the Potential for Large Language Model Interpretability in MedicineLLM reasoning → Clinical and biomedical applications
  2. Shape-guided Conditional Latent Diffusion Models for Synthesising Brain VasculatureDiffusion models → Medical imaging and segmentation
  3. TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image Super-ResolutionDiffusion models → Inverse problems and image restoration
  4. Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention MasksDiffusion models → Image generation, text-to-image and editing
  5. Precipitation nowcasting with generative diffusion modelsDiffusion models → Flow matching, time series and science
  6. CLE Diffusion: Controllable Light Enhancement Diffusion ModelDiffusion models → 3D, point cloud and scene generation
  7. IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  8. LAW-Diffusion: Complex Scene Generation by Diffusion with LayoutsDiffusion models → Image generation, text-to-image and editing
  9. Generating observation guided ensembles for data assimilation with denoising diffusion probabilistic modelDiffusion models → Flow matching, time series and science
  10. SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning
  11. Building Trust in Conversational AI: A Comprehensive Review and Solution Architecture for Explainable, Privacy-Aware Systems using LLMs and Knowledge Graph
  12. Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition
  13. InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models
  14. Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut Features
  15. CDR: Conservative Doubly Robust Learning for Debiased Recommendation
  16. Transforming Sentiment Analysis in the Financial Domain with ChatGPT
  17. Evaluating the anticipated outcomes of MRI seizure image from open-source tool- Prototype approach
  18. A Parallel Ensemble of Metaheuristic Solvers for the Traveling Salesman Problem
  19. Py-Tetrad and RPy-Tetrad: A New Python Interface with R Support for Tetrad Causal Search
  20. Conic Descent Redux for Memory-Efficient Optimization
  21. Improving Face Recognition from Caption Supervision with Multi-Granular Contextual Feature Aggregation
  22. Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks
  23. Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise
  24. UGC Quality Assessment: Exploring the Impact of Saliency in Deep Feature-Based Quality Assessment
  25. Optimizing Offensive Gameplan in the National Basketball Association with Machine Learning
  26. When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA
  27. Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
  28. An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM
  29. Reinforcement Graph Clustering with Unknown Cluster Number
  30. Approximate and Weighted Data Reconstruction Attack in Federated Learning
  31. Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models
  32. SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
  33. Ground Manipulator Primitive Tasks to Executable Actions using Large Language Models
  34. Neural Networks for Programming Quantum Annealers
  35. SAILOR: Structural Augmentation Based Tail Node Representation Learning
  36. Modified Topological Image Preprocessing for Skin Lesion Classifications
  37. Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading
  38. PV-SSD: A Multi-Modal Point Cloud Feature Fusion Method for Projection Features and Variable Receptive Field Voxel Features
  39. Modeling the Dashboard Provenance
  40. RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
  41. Neural Networks at a Fraction with Pruned Quaternions
  42. Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
  43. Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches
  44. Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
  45. Detecting Structural Shifts in Multivariate Hawkes Processes with Fr'echet Statistics
  46. A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
  47. Few-shot Class-incremental Learning for Classification and Object Detection: A Survey
  48. Discovering the Symptom Patterns of COVID-19 from Recovered and Deceased Patients Using Apriori Association Rule Mining
  49. Tissue Segmentation of Thick-Slice Fetal Brain MR Scans with Guidance from High-Quality Isotropic Volumes
  50. Influence Function Based Second-Order Channel Pruning-Evaluating True Loss Changes For Pruning Is Possible Without Retraining
  51. FastLLVE: Real-Time Low-Light Video Enhancement with Intensity-Aware Lookup Table
  52. Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
  53. Self-supervised Noise2noise Method Utilizing Corrupted Images with a Modular Network for LDCT Denoising
  54. Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
  55. Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy Optimization
  56. Weighted Sparse Partial Least Squares for Joint Sample and Feature Selection
  57. Probabilistic Imputation for Time-series Classification with Missing Data
  58. AerialVLN: Vision-and-Language Navigation for UAVs
  59. 3D Scene Graph Prediction on Point Clouds Using Knowledge Graphs
  60. Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables
  61. Estimating and Incentivizing Imperfect-Knowledge Agents with Hidden Rewards
  62. StairNetV3: Depth-aware Stair Modeling using Deep Learning
  63. Learning on Graphs with Out-of-Distribution Nodes
  64. Compositional Feature Augmentation for Unbiased Scene Graph Generation
  65. The Hard-Constraint PINNs for Interface Optimal Control Problems
  66. Condition-Adaptive Graph Convolution Learning for Skeleton-Based Gait Recognition
  67. Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods
  68. Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection
  69. MACO: A Modality Adversarial and Contrastive Framework for Modality-missing Multi-modal Knowledge Graph Completion
  70. Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation
  71. SimMatchV2: Semi-Supervised Learning with Graph Consistency
  72. Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training
  73. TorchQL: A Programming Framework for Integrity Constraints in Machine Learning
  74. Video Captioning with Aggregated Features Based on Dual Graphs and Gated Fusion
  75. Separable Gaussian Neural Networks: Structure, Analysis, and Function Approximations
  76. A practical PINN framework for multi-scale problems with multi-magnitude loss terms
  77. Noise Balance and Stationary Distribution of Stochastic Gradient Descent
  78. Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges
  79. Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision
  80. ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN
  81. Polar Collision Grids: Effective Interaction Modelling for Pedestrian Trajectory Prediction in Shared Space Using Collision Checks