mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 17 Jan 2021

66 papers

  1. A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving
  2. End-to-end Interpretable Neural Motion PlannerEnd-to-end autonomous driving → End-to-end system architecture
  3. Free congruence: an exploration of expanded similarity measures for time series data
  4. Guided parallelized stochastic gradient descent for delay compensation
  5. What Makes Good In-Context Examples for GPT-3?
  6. Narration Generation for Cartoon Videos
  7. Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates
  8. Heterogeneous Similarity Graph Neural Network on Electronic Health Records
  9. MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning under Kinodynamic Constraints
  10. Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving
  11. Few Shot Dialogue State Tracking using Meta-learning
  12. Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology
  13. Learning from pandemics: using extraordinary events can improve disease now-casting models
  14. Generating Attribution Maps with Disentangled Masked Backpropagation
  15. Latent Space Analysis of VAE and Intro-VAE applied to 3-dimensional MR Brain Volumes of Multiple Sclerosis, Leukoencephalopathy, and Healthy Patients
  16. Temporal Spatial-Adaptive Interpolation with Deformable Refinement for Electron Microscopic Images
  17. Improving Apparel Detection with Category Grouping and Multi-grained Branches
  18. Spatial Network Decomposition for Fast and Scalable AC-OPF Learning
  19. Multi-view Data Visualisation via Manifold Learning
  20. A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence
  21. A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks
  22. Intestinal Parasites Classification Using Deep Belief Networks
  23. Deep Parametric Continuous Convolutional Neural Networks
  24. Energy-based Dropout in Restricted Boltzmann Machines: Why not go random
  25. Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
  26. Heterogeneous Hand Guise Classification Based on Surface Electromyographic Signals Using Multichannel Convolutional Neural Network
  27. Human Activity Recognition Using Multichannel Convolutional Neural Network
  28. Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions
  29. Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway Applications
  30. Efficiently Fusing Pretrained Acoustic and Linguistic Encoders for Low-resource Speech Recognition
  31. KCP: Kernel Cluster Pruning for Dense Labeling Neural Networks
  32. Separable Batch Normalization for Robust Facial Landmark Localization with Cross-protocol Network Training
  33. Intact-VAE: Estimating Treatment Effects under Unobserved Confounding
  34. Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution
  35. LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
  36. Generalized Image Reconstruction over T-Algebra
  37. HySTER: A Hybrid Spatio-Temporal Event Reasoner
  38. Estimating informativeness of samples with Smooth Unique Information
  39. Removing Undesirable Feature Contributions Using Out-of-Distribution Data
  40. Coarse Temporal Attention Network (CTA-Net) for Driver's Activity Recognition
  41. Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification
  42. Regional Attention Network (RAN) for Head Pose and Fine-grained Gesture Recognition
  43. Solving QSAT problems with neural MCTS
  44. Aggregated Network for Massive MIMO CSI Feedback
  45. A relic sketch extraction framework based on detail-aware hierarchical deep network
  46. Disentangling Observed Causal Effects from Latent Confounders using Method of Moments
  47. Network Automatic Pruning: Start NAP and Take a Nap
  48. MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization
  49. Performance Analysis and Improvement of Parallel Differential Evolution
  50. PLUMENet: Efficient 3D Object Detection from Stereo Images
  51. TSEC: a framework for online experimentation under experimental constraints
  52. Cost-Efficient Online Hyperparameter Optimization
  53. Data-driven discovery of multiscale chemical reactions governed by the law of mass action
  54. Auto4D: Learning to Label 4D Objects from Sequential Point Clouds
  55. Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System
  56. Physics-Informed Deep Learning for Traffic State Estimation
  57. Understanding in Artificial Intelligence
  58. S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling
  59. Membership Inference Attack on Graph Neural Networks
  60. A Literature Review of Recent Graph Embedding Techniques for Biomedical Data
  61. Privacy-Preserving Learning of Human Activity Predictors in Smart Environments
  62. Asynchronous Multi-View SLAM
  63. GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation
  64. Adversarial Attacks On Multi-Agent Communication
  65. Deep-Mobility: A Deep Learning Approach for an Efficient and Reliable 5G Handover
  66. TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors