mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 20 Nov 2021

74 papers

  1. Teacher-Student Training and Triplet Loss to Reduce the Effect of Drastic Face OcclusionKnowledge distillation → General knowledge distillation methods
  2. Towards Safe, Explainable, and Regulated Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
  3. Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised Signals
  4. Predicting Student's Performance Through Data Mining
  5. Building Object-based Causal Programs for Human-like Generalization
  6. Adversarial Sampling for Solving Differential Equations with Neural Networks
  7. Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective
  8. Predicting High-Flow Nasal Cannula Failure in an ICU Using a Recurrent Neural Network with Transfer Learning and Input Data Perseveration: A Retrospective Analysis
  9. Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks
  10. Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Bounds
  11. Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
  12. Image-Like Graph Representations for Improved Molecular Property Prediction
  13. Textbook to triples: Creating knowledge graph in the form of triples from AI TextBook
  14. Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection
  15. A Review on The Division of Magnetic Resonant Prostate Images with Deep Learning
  16. VideoPose: Estimating 6D object pose from videos
  17. Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters
  18. Are Vision Transformers Robust to Patch Perturbations?
  19. Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
  20. Simple End-to-end Deep Learning Model for CDR-H3 Loop Structure Prediction
  21. Real-time Human Detection Model for Edge Devices
  22. Simulated LiDAR Repositioning: a novel point cloud data augmentation method
  23. Implicit Acoustic Echo Cancellation for Keyword Spotting and Device-Directed Speech Detection
  24. HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments
  25. Identity-Preserving Pose-Robust Face Hallucination Through Face Subspace Prior
  26. Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression
  27. Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods
  28. Learning algorithms versus automatability of Frege systems
  29. Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs
  30. SPINE: Soft Piecewise Interpretable Neural Equations
  31. FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation
  32. Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification
  33. PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation
  34. Extracting Deformation-Aware Local Features by Learning to Deform
  35. GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation
  36. A photosensor employing data-driven binning for ultrafast image recognition
  37. Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images
  38. Exploiting Multi-Scale Fusion, Spatial Attention and Patch Interaction Techniques for Text-Independent Writer Identification
  39. Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning
  40. Unsupervised Domain Adaptation for RF-based Gesture Recognition
  41. Deep Safe Multi-Task Learning
  42. Semi-supervised Impedance Inversion by Bayesian Neural Network Based on 2-d CNN Pre-training
  43. Quality and Computation Time in Optimization Problems
  44. Deep Spoken Keyword Spotting: An Overview
  45. AGA-GAN: Attribute Guided Attention Generative Adversarial Network with U-Net for Face Hallucination
  46. Vehicular Visible Light Communications Noise Analysis and Autoencoder Based Denoising
  47. Satellite Based Computing Networks with Federated Learning
  48. Improving Tagging Consistency and Entity Coverage for Chemical Identification in Full-text Articles
  49. Generating meta-learning tasks to evolve parametric loss for classification learning
  50. A Deeper Look into DeepCap
  51. Learning Non-Stationary Time-Series with Dynamic Pattern Extractions
  52. Accelerating non-LTE synthesis and inversions with graph networks
  53. Delving into Rectifiers in Style-Based Image Translation
  54. Triples-to-Text Generation with Reinforcement Learning Based Graph-augmented Neural Networks
  55. Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN
  56. Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph
  57. Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation
  58. Quaternion-Based Graph Convolution Network for Recommendation
  59. Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling via Temporal Basis Learning
  60. FAMINet: Learning Real-time Semi-supervised Video Object Segmentation with Steepest Optimized Optical Flow
  61. ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation
  62. Real-World Semantic Grasp Detection Based on Attention Mechanism
  63. StylePart: Image-based Shape Part Manipulation
  64. Data Processing Matters: SRPH-Konvergen AI's Machine Translation System for WMT'21
  65. Bayesian Learning via Neural Schr"odinger-F"ollmer Flows
  66. CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation
  67. Exploring Language Patterns in a Medical Licensure Exam Item Bank
  68. Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution
  69. Discrete Representations Strengthen Vision Transformer Robustness
  70. Feature selection or extraction decision process for clustering using PCA and FRSD
  71. Modeling Design and Control Problems Involving Neural Network Surrogates
  72. Imitation and Supervised Learning of Compliance for Robotic Assembly
  73. Federated Learning with Domain Generalization
  74. Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach