mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 25 Jul 2021

65 papers

  1. A Study on Speech Enhancement Based on Diffusion Probabilistic ModelDiffusion models → Audio, speech and music
  2. Go Wider Instead of DeeperMixture-of-experts → Vision mixture-of-experts
  3. Reinforced Imitation Learning by Free Energy PrincipleOffline RL and imitation learning from data → Imitation learning methods
  4. DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement LearningEnd-to-end autonomous driving → Adversarial scenarios and safety testing
  5. IE-GAN: An Improved Evolutionary Generative Adversarial Network Using a New Fitness Function and a Generic Crossover Operator
  6. A comparison of latent semantic analysis and correspondence analysis of document-term matrices
  7. A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging
  8. Do What You Know: Coupling Knowledge with Action in Discrete-Event Systems
  9. A Study on Herd Behavior Using Sentiment Analysis in Online Social Network
  10. Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale
  11. Relational Boosted Regression Trees
  12. Restless Bandits with Many Arms: Beating the Central Limit Theorem
  13. H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences
  14. Transferable Dialogue Systems and User Simulators
  15. A brief note on understanding neural networks as Gaussian processes
  16. GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
  17. Logspace Reducibility From Secret Leakage Planted Clique
  18. Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective
  19. Hybrid Autoregressive Inference for Scalable Multi-hop Explanation Regeneration
  20. Spatio-Temporal Representation Factorization for Video-based Person Re-Identification
  21. Adaptive Estimation and Uniform Confidence Bands for Nonparametric Structural Functions and Elasticities
  22. Neural Circuit Synthesis from Specification Patterns
  23. Decision-forest voting scheme for classification of rare classes in network intrusion detection
  24. Estimation of Stationary Optimal Transport Plans
  25. Improving Robot Localisation by Ignoring Visual Distraction
  26. Graph Representation Learning on Tissue-Specific Multi-Omics
  27. Will Multi-modal Data Improves Few-shot Learning?
  28. Transcript to Video: Efficient Clip Sequencing from Texts
  29. On-Device Content Moderation
  30. A binary variant of gravitational search algorithm and its application to windfarm layout optimization problem
  31. Deep Learning Explicit Differentiable Predictive Control Laws for Buildings
  32. New Algebraic Normative Theories for Ethical and Legal Reasoning in the LogiKEy Framework
  33. Graph-free Multi-hop Reading Comprehension: A Select-to-Guide Strategy
  34. Distributional Shifts in Automated Diabetic Retinopathy Screening
  35. A Survey of Monte Carlo Methods for Parameter Estimation
  36. Bangla sign language recognition using concatenated BdSL network
  37. Adaptive Recursive Circle Framework for Fine-grained Action Recognition
  38. Efficient Large Scale Inlier Voting for Geometric Vision Problems
  39. Denoising and Segmentation of Epigraphical Scripts
  40. Arbitrarily Shaped Scene Text Detection: A Decade of Advances and Systematic Analysis
  41. Character Spotting Using Machine Learning Techniques
  42. ROD: Reception-aware Online Distillation for Sparse Graphs
  43. Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation
  44. Deep Learning-based Frozen Section to FFPE Translation
  45. Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package
  46. Power of human-algorithm collaboration in solving combinatorial optimization problems
  47. Towards Controlled and Diverse Generation of Article Comments
  48. Learn to Focus: Hierarchical Dynamic Copy Network for Dialogue State Tracking
  49. SGD with a Constant Large Learning Rate Can Converge to Local Maxima
  50. ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation
  51. A Joint and Domain-Adaptive Approach to Spoken Language Understanding
  52. Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images
  53. MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox
  54. Can Action be Imitated? Learn to Reconstruct and Transfer Human Dynamics from Videos
  55. Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications
  56. Identifying the fragment structure of the organic compounds by deeply learning the original NMR data
  57. WiP Abstract : Robust Out-of-distribution Motion Detection and Localization in Autonomous CPS
  58. Federated Causal Inference in Heterogeneous Observational Data
  59. Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach
  60. Learning Risk-aware Costmaps for Traversability in Challenging Environments
  61. PoseFace: Pose-Invariant Features and Pose-Adaptive Loss for Face Recognition
  62. Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning
  63. Efficient inference of interventional distributions
  64. Temporal-wise Attention Spiking Neural Networks for Event Streams Classification
  65. Boosting Video Captioning with Dynamic Loss Network