mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 3 Oct 2021

74 papers

  1. Marginally calibrated response distributions for end-to-end learning in autonomous drivingEnd-to-end autonomous driving → End-to-end system architecture
  2. Meta-Reinforcement Learning via Buffering Graph Signatures for Live Video Streaming Events
  3. Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication
  4. Distributed Optimization using Heterogeneous Compute Systems
  5. Music Playlist Title Generation: A Machine-Translation Approach
  6. Meta-learning an Intermediate Representation for Few-shot Block-wise Prediction of Landslide Susceptibility
  7. Landslide Detection in Real-Time Social Media Image Streams
  8. Data-driven Tissue Mechanics with Polyconvex Neural Ordinary Differential Equations
  9. RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection
  10. SDR: Efficient Neural Re-ranking using Succinct Document Representation
  11. Dirichlet Mechanism for Differentially Private KL Divergence Minimization
  12. Neural Implicit Surfaces for Efficient and Accurate Collisions in Physically Based Simulations
  13. Deep Learning for Principal-Agent Mean Field Games
  14. Probing Language Models for Understanding of Temporal Expressions
  15. Safe Control with Neural Network Dynamic Models
  16. FairMask: Better Fairness via Model-based Rebalancing of Protected Attributes
  17. Human-Centered AI for Data Science: A Systematic Approach
  18. TinyFedTL: Federated Transfer Learning on Tiny Devices
  19. Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations
  20. Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models
  21. Towards Understanding Persuasion in Computational Argumentation
  22. Multi-task Voice Activated Framework using Self-supervised Learning
  23. Multi-Document Keyphrase Extraction: Dataset, Baselines and Review
  24. Active Learning for Contextual Search with Binary Feedbacks
  25. A New Approach for Image Authentication Framework for Media Forensics Purpose
  26. Dr.Aid: Supporting Data-governance Rule Compliance for Decentralized Collaboration in an Automated Way
  27. Treeging
  28. Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
  29. RAP-Net: Region Attention Predictive Network for Precipitation Nowcasting
  30. Universal Face Restoration With Memorized Modulation
  31. Project Debater APIs: Decomposing the AI Grand Challenge
  32. DARDet: A Dense Anchor-free Rotated Object Detector in Aerial Images
  33. Classification of Viral Pneumonia X-ray Images with the Aucmedi Framework
  34. Spatio-Temporal Video Representation Learning for AI Based Video Playback Style Prediction
  35. EAR-U-Net: EfficientNet and attention-based residual U-Net for automatic liver segmentation in CT
  36. Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering
  37. Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data
  38. Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers
  39. Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild
  40. Keypoint Communities
  41. Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
  42. Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement
  43. SecFL: Confidential Federated Learning using TEEs
  44. LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
  45. Graph Pointer Neural Networks
  46. A Robust Scheme for 3D Point Cloud Copy Detection
  47. Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement
  48. Translating Images into Maps
  49. Boost Neural Networks by Checkpoints
  50. Fingerprint Matching using the Onion Peeling Approach and Turning Function
  51. Graph Representation Learning for Spatial Image Steganalysis
  52. Information Elicitation Meets Clustering
  53. An Unsupervised Video Game Playstyle Metric via State Discretization
  54. Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans
  55. Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams
  56. Kalman Bayesian Neural Networks for Closed-form Online Learning
  57. CDRNet: Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography Using Deep Learning
  58. Artificial Intelligence For Breast Cancer Detection: Trends & Directions
  59. PL-EESR: Perceptual Loss Based END-TO-END Robust Speaker Representation Extraction
  60. Anatomical Landmarks Localization for 3D Foot Point Clouds
  61. Bounding Box Tightness Prior for Weakly Supervised Image Segmentation
  62. Subtractive mountain clustering algorithm applied to a chatbot to assist elderly people in medication intake
  63. Exploration of Artificial Intelligence-oriented Power System Dynamic Simulators
  64. Scheduling Optimization Techniques for Neural Network Training
  65. Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning
  66. Matching Models for Graph Retrieval
  67. Hierarchical Gaussian Process Models for Regression Discontinuity/Kink under Sharp and Fuzzy Designs
  68. Attention module improves both performance and interpretability of 4D fMRI decoding neural network
  69. Progressive Transmission and Inference of Deep Learning Models
  70. Enhancing Model Robustness and Fairness with Causality: A Regularization Approach
  71. GROWN: GRow Only When Necessary for Continual Learning
  72. Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function
  73. A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances
  74. Disarranged Zone Learning (DZL): An unsupervised and dynamic automatic stenosis recognition methodology based on coronary angiography