mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 4 Sep 2022

60 papers

  1. A Review of Sparse Expert Models in Deep LearningMixture-of-experts → Vision mixture-of-experts
  2. SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NERRetrieval-augmented generation → Generation and context integration
  3. The Effectiveness of Bidirectional Generative Patent Language Models
  4. Generating detailed saliency maps using model-agnostic methods
  5. AutoPET Challenge 2022: Step-by-Step Lesion Segmentation in Whole-body FDG-PET/CT
  6. Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models
  7. Beyond Random Split for Assessing Statistical Model Performance
  8. Pixel-Level Equalized Matching for Video Object Segmentation
  9. Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation
  10. Perception Simplex: Verifiable Collision Avoidance in Autonomous Vehicles Amidst Obstacle Detection Faults
  11. Concatenated Classic and Neural (CCN) Codes: ConcatenatedAE
  12. Variational Inference for Model-Free and Model-Based Reinforcement Learning
  13. On Kernel Regression with Data-Dependent Kernels
  14. On the Privacy Risks of Cell-Based NAS Architectures
  15. Reconciling Individual Probability Forecasts
  16. ASTra: A Novel Algorithm-Level Approach to Imbalanced Classification
  17. Learning to Predict Fitness for Duty using Near Infrared Periocular Iris Images
  18. Communication Efficient Distributed Learning over Wireless Channels
  19. Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography
  20. Alcohol Consumption Detection from Periocular NIR Images Using Capsule Network
  21. ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining
  22. Fraud Detection Using Optimized Machine Learning Tools Under Imbalance Classes
  23. Every picture tells a story: Image-grounded controllable stylistic story generation
  24. Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification
  25. A systematic study of race and sex bias in CNN-based cardiac MR segmentation
  26. Interactive Question Answering Systems: Literature Review
  27. Interpreting systems as solving POMDPs: a step towards a formal understanding of agency
  28. ProBoost: a Boosting Method for Probabilistic Classifiers
  29. Generalization in Neural Networks: A Broad Survey
  30. Dynamic Regret of Adaptive Gradient Methods for Strongly Convex Problems
  31. A Case Study on the Classification of Lost Circulation Events During Drilling using Machine Learning Techniques on an Imbalanced Large Dataset
  32. Representative Image Feature Extraction via Contrastive Learning Pretraining for Chest X-ray Report Generation
  33. A Prufer-Sequence Based Representation of Large Graphs for Structural Encoding of Logic Networks
  34. Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection
  35. PhishClone: Measuring the Efficacy of Cloning Evasion Attacks
  36. Rice Leaf Disease Classification and Detection Using YOLOv5
  37. Spatial-Temporal Transformer for Video Snapshot Compressive Imaging
  38. Pseudo-LiDAR for Visual Odometry
  39. Towards Top-Down Automated Development in Limited Scopes: A Neuro-Symbolic Framework from Expressibles to Executables
  40. Copula Entropy based Variable Selection for Survival Analysis
  41. Selective Text Augmentation with Word Roles for Low-Resource Text Classification
  42. Scalable Adversarial Online Continual Learning
  43. Reinforced Continual Learning for Graphs
  44. Latent Preserving Generative Adversarial Network for Imbalance classification
  45. Autonomous Cross Domain Adaptation under Extreme Label Scarcity
  46. Conditional Independence Testing via Latent Representation Learning
  47. Recurrent Bilinear Optimization for Binary Neural Networks
  48. An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling
  49. Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees
  50. Data Provenance via Differential Auditing
  51. Interpretable Fake News Detection with Topic and Deep Variational Models
  52. Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays
  53. Multi-modal Masked Autoencoders Learn Compositional Histopathological Representations
  54. Informative Language Representation Learning for Massively Multilingual Neural Machine Translation
  55. Data-Driven Deep Supervision for Skin Lesion Classification
  56. Symplectically Integrated Symbolic Regression of Hamiltonian Dynamical Systems
  57. Quantitative Stopword Generation for Sentiment Analysis via Recursive and Iterative Deletion
  58. Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning
  59. Do Large Language Models know what humans know?
  60. A Novel Nearest Neighbors Algorithm Based on Power Muirhead Mean