mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 9 Jul 2022

68 papers

  1. Improving Diffusion Model Efficiency Through PatchingDiffusion models → Diffusion foundations and sampling
  2. Towards Multimodal Vision-Language Models Generating Non-Generic TextMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  3. Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification
  4. Jacobian Norm with Selective Input Gradient Regularization for Improved and Interpretable Adversarial Defense
  5. Pseudo-Pair based Self-Similarity Learning for Unsupervised Person Re-identification
  6. Multiple Robust Learning for Recommendation
  7. The Poisson binomial mechanism for secure and private federated learning
  8. Towards Highly Expressive Machine Learning Models of Non-Melanoma Skin Cancer
  9. Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow Forecasting
  10. Segmentation of Blood Vessels, Optic Disc Localization, Detection of Exudates and Diabetic Retinopathy Diagnosis from Digital Fundus Images
  11. Explaining Chest X-ray Pathologies in Natural Language
  12. Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning
  13. Emerging Patterns in the Continuum Representation of Protein-Lipid Fingerprints
  14. Multi-Model Federated Learning with Provable Guarantees
  15. Error Analysis of Tensor-Train Cross Approximation
  16. Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks
  17. Video Coding Using Learned Latent GAN Compression
  18. Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet
  19. QKVA grid: Attention in Image Perspective and Stacked DETR
  20. Dynamic Time Warping based Adversarial Framework for Time-Series Domain
  21. Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features
  22. Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach
  23. Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis
  24. SHDM-NET: Heat Map Detail Guidance with Image Matting for Industrial Weld Semantic Segmentation Network
  25. TensorIR: An Abstraction for Automatic Tensorized Program Optimization
  26. Explainable AI (XAI) in Biomedical Signal and Image Processing: Promises and Challenges
  27. Attention and Self-Attention in Random Forests
  28. Rank-Enhanced Low-Dimensional Convolution Set for Hyperspectral Image Denoising
  29. Fuzzy Clustering by Hyperbolic Smoothing
  30. A novel evaluation methodology for supervised Feature Ranking algorithms
  31. Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shifts
  32. A Statistical-Modelling Approach to Feedforward Neural Network Model Selection
  33. PI-Trans: Parallel-ConvMLP and Implicit-Transformation Based GAN for Cross-View Image Translation
  34. Few-shot training LLMs for project-specific code-summarization
  35. Sparse Ellipsometry: Portable Acquisition of Polarimetric SVBRDF and Shape with Unstructured Flash Photography
  36. CEG4N: Counter-Example Guided Neural Network Quantization Refinement
  37. Batch-efficient EigenDecomposition for Small and Medium Matrices
  38. On the Robustness and Anomaly Detection of Sparse Neural Networks
  39. SiaTrans: Siamese Transformer Network for RGB-D Salient Object Detection with Depth Image Classification
  40. Learning to Register Unbalanced Point Pairs
  41. Rethinking Persistent Homology for Visual Recognition
  42. Subclasses of Class Function used to Implement Transformations of Statistical Models
  43. Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning
  44. Wasserstein Graph Distance Based on L1-Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees
  45. Dual-Path Cross-Modal Attention for better Audio-Visual Speech Extraction
  46. COVID-19 Disease Identification on Chest-CT images using CNN and VGG16
  47. BOSS: Bottom-up Cross-modal Semantic Composition with Hybrid Counterfactual Training for Robust Content-based Image Retrieval
  48. Invisible Backdoor Attacks Using Data Poisoning in the Frequency Domain
  49. SCouT: Synthetic Counterfactuals via Spatiotemporal Transformers for Actionable Healthcare
  50. A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation
  51. Variational Approach for Intensity Domain Multi-exposure Image Fusion
  52. Learning to Separate Voices by Spatial Regions
  53. Smart Multi-tenant Federated Learning
  54. Learning Structured Representations of Visual Scenes
  55. Improved Binary Forward Exploration: Learning Rate Scheduling Method for Stochastic Optimization
  56. Multi-label Classification with High-rank and High-order Label Correlations
  57. Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations
  58. A Study on Self-Supervised Object Detection Pretraining
  59. Domain Alignment Meets Fully Test-Time Adaptation
  60. Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement
  61. Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
  62. Internal Language Model Estimation based Language Model Fusion for Cross-Domain Code-Switching Speech Recognition
  63. Direct Handheld Burst Imaging to Simulated Defocus
  64. Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality
  65. A Systematic Review and Thematic Analysis of Community-Collaborative Approaches to Computing Research
  66. Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics
  67. Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in Feature Space
  68. A Survey of Task-Based Machine Learning Content Extraction Services for VIDINT