mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 12 Dec 2021

83 papers

  1. Up to 100× Faster Data-free Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  2. Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration RewardEnd-to-end autonomous driving → Reinforcement learning for driving
  3. Semi-supervised teacher-student deep neural network for materials discoveryKnowledge distillation → Graph neural network distillation
  4. Efficient and Reliable Overlay Networks for Decentralized Federated Learning
  5. A Single-Target License Plate Detection with Attention
  6. Interpretable Feature Learning Framework for Smoking Behavior Detection
  7. Re-ranking With Constraints on Diversified Exposures for Homepage Recommender System
  8. Tree-based Focused Web Crawling with Reinforcement Learning
  9. Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates
  10. Boosting Independent Component Analysis
  11. Neural Point Process for Learning Spatiotemporal Event Dynamics
  12. Machine Learning Calabi-Yau Hypersurfaces
  13. ValueNet: A New Dataset for Human Value Driven Dialogue System
  14. A Survey on Societal Event Forecasting with Deep Learning
  15. Change Detection Meets Visual Question Answering
  16. Representing Knowledge as Predictions (and State as Knowledge)
  17. DPICT: Deep Progressive Image Compression Using Trit-Planes
  18. Graph-based hierarchical record clustering for unsupervised entity resolution
  19. Improving Code-switching Language Modeling with Artificially Generated Texts using Cycle-consistent Adversarial Networks
  20. Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses
  21. Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning
  22. Contextualized Scene Imagination for Generative Commonsense Reasoning
  23. Weakly Supervised Text-to-SQL Parsing through Question Decomposition
  24. Reading Task Classification Using EEG and Eye-Tracking Data
  25. Improving Speech Recognition on Noisy Speech via Speech Enhancement with Multi-Discriminators CycleGAN
  26. Image-to-Height Domain Translation for Synthetic Aperture Sonar
  27. Recalibrating probabilistic forecasts of epidemics
  28. Towards More Efficient Insertion Transformer with Fractional Positional Encoding
  29. Gamifying optimization: a Wasserstein distance-based analysis of human search
  30. Fairness for Robust Learning to Rank
  31. Identifying bias in cluster quality metrics
  32. Bayesian Persuasion for Algorithmic Recourse
  33. Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
  34. Quantifying and Understanding Adversarial Examples in Discrete Input Spaces
  35. SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification
  36. A Machine Learning Analysis of Impact of the Covid-19 Pandemic on Alcohol Consumption Habit Changes Among Healthcare Workers in the U.S
  37. Learning with Subset Stacking
  38. DeepFIB: Self-Imputation for Time Series Anomaly Detection
  39. SHGNN: Structure-Aware Heterogeneous Graph Neural Network
  40. Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow
  41. Improving Logical-Level Natural Language Generation with Topic-Conditioned Data Augmentation and Logical Form Generation
  42. HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging
  43. Attention based Broadly Self-guided Network for Low light Image Enhancement
  44. Approximation algorithms for confidence bands for time series
  45. ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation
  46. Visualising and Explaining Deep Learning Models for Speech Quality Prediction
  47. Quantum kernels for real-world predictions based on electronic health records
  48. Measuring Complexity of Learning Schemes Using Hessian-Schatten Total Variation
  49. Automatic differentiation approach for reconstructing spectral functions with neural networks
  50. Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup
  51. Secure Routine: A Routine-Based Algorithm for Drivers Identification
  52. Learning Nigerian accent embeddings from speech: preliminary results based on SautiDB-Naija corpus
  53. Video as Conditional Graph Hierarchy for Multi-Granular Question Answering
  54. Predicting Above-Sentence Discourse Structure using Distant Supervision from Topic Segmentation
  55. Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image Augmentation
  56. GUNNEL: Guided Mixup Augmentation and Multi-Model Fusion for Aquatic Animal Segmentation
  57. An original model for multi-target learning of logical rules for knowledge graph reasoning
  58. Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species
  59. 360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation
  60. BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning
  61. Unsupervised Domain-Specific Deblurring using Scale-Specific Attention
  62. Implicit Transformer Network for Screen Content Image Continuous Super-Resolution
  63. Pixel-wise Deep Image Stitching
  64. Deep network for rolling shutter rectification
  65. Topic Detection and Tracking with Time-Aware Document Embeddings
  66. Semi-supervised Domain Adaptive Structure Learning
  67. Maintaining AUC and H-measure over time
  68. Deep Translation Prior: Test-time Training for Photorealistic Style Transfer
  69. Two New Stenosis Detection Methods of Coronary Angiograms
  70. Programming with Neural Surrogates of Programs
  71. Self-Supervised Modality-Aware Multiple Granularity Pre-Training for RGB-Infrared Person Re-Identification
  72. Communication-Efficient Federated Learning for Neural Machine Translation
  73. Markov subsampling based Huber Criterion
  74. MVLayoutNet:3D layout reconstruction with multi-view panoramas
  75. Magnifying Networks for Images with Billions of Pixels
  76. Sidewalk Measurements from Satellite Images: Preliminary Findings
  77. Stereoscopic Universal Perturbations across Different Architectures and Datasets
  78. Learning from the Tangram to Solve Mini Visual Tasks
  79. Injecting Numerical Reasoning Skills into Knowledge Base Question Answering Models
  80. Controlled-rearing studies of newborn chicks and deep neural networks
  81. Synthetic Map Generation to Provide Unlimited Training Data for Historical Map Text Detection
  82. Improving Vision Transformers for Incremental Learning
  83. NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector