mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 3 Jul 2021

64 papers

  1. Isotonic Data Augmentation for Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  2. Optimality Inductive Biases and Agnostic Guidelines for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  3. Learning Efficient Vision Transformers via Fine-Grained Manifold DistillationKnowledge distillation → General knowledge distillation methods
  4. Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural NetworkKnowledge distillation → Distillation for continual learning
  5. TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy
  6. Species Distribution Modeling for Machine Learning Practitioners: A Review
  7. Quantifying machine learning-induced overdiagnosis in sepsis
  8. On Out-of-distribution Detection with Energy-based Models
  9. Boost-R: Gradient Boosted Trees for Recurrence Data
  10. A Generalized Lottery Ticket Hypothesis
  11. Person-MinkUNet: 3D Person Detection with LiDAR Point Cloud
  12. Research on Metro Service Quality Improvement Schemes Considering Feasibility
  13. The Price of Diversity
  14. Trans4E: Link Prediction on Scholarly Knowledge Graphs
  15. Bayesian decision-making under misspecified priors with applications to meta-learning
  16. Pulmonary Vessel Segmentation based on Orthogonal Fused U-Net++ of Chest CT Images
  17. BAGUA: Scaling up Distributed Learning with System Relaxations
  18. A Data-Driven Method for Recognizing Automated Negotiation Strategies
  19. On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs
  20. Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates
  21. Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective
  22. Slope and generalization properties of neural networks
  23. Scene-aware Learning Network for Radar Object Detection
  24. A convolutional neural network for prestack fracture detection
  25. Development of a Conversation State Prediction System
  26. A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification
  27. Mava: a research library for distributed multi-agent reinforcement learning in JAX
  28. Custom Deep Neural Network for 3D Covid Chest CT-scan Classification
  29. Drone Detection Using Convolutional Neural Networks
  30. Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks
  31. QKSA: Quantum Knowledge Seeking Agent
  32. Solving Infinite-Domain CSPs Using the Patchwork Property
  33. Imaging dynamics beneath turbid media via parallelized single-photon detection
  34. Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks
  35. Scale Mixtures of Neural Network Gaussian Processes
  36. Learning from scarce information: using synthetic data to classify Roman fine ware pottery
  37. Exact Backpropagation in Binary Weighted Networks with Group Weight Transformations
  38. Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity
  39. WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative Cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-Rays
  40. Memory and attention in deep learning
  41. Learning Debiased Representation via Disentangled Feature Augmentation
  42. Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN
  43. Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning
  44. Supervised Off-Policy Ranking
  45. CInC Flow: Characterizable Invertible 3x3 Convolution
  46. Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks
  47. Spatiotemporal information conversion machine for time-series prediction
  48. EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation
  49. Examining average and discounted reward optimality criteria in reinforcement learning
  50. Traffic Signal Control with Communicative Deep Reinforcement Learning Agents: a Case Study
  51. Cluster Representatives Selection in Non-Metric Spaces for Nearest Prototype Classification
  52. Short-term probabilistic photovoltaic power forecast based on deep convolutional long short-term memory network and kernel density estimation
  53. Sibling Regression for Generalized Linear Models
  54. CT Image Harmonization for Enhancing Radiomics Studies
  55. Average-Case Communication Complexity of Statistical Problems
  56. A Uniformly Consistent Estimator of non-Gaussian Causal Effects Under the k-Triangle-Faithfulness Assumption
  57. SPI-GAN: Towards Single-Pixel Imaging through Generative Adversarial Network
  58. VinDr-RibCXR: A Benchmark Dataset for Automatic Segmentation and Labeling of Individual Ribs on Chest X-rays
  59. SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing
  60. Fair Decision Rules for Binary Classification
  61. Minimum Wasserstein Distance Estimator under Finite Location-scale Mixtures
  62. Learning Hierarchical Graph Neural Networks for Image Clustering
  63. A study of CNN capacity applied to Left Venticle Segmentation in Cardiac MRI
  64. Clustering of Time Series Data with Prior Geographical Information