mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 12 Jun 2021

94 papers

  1. A Minimalist Approach to Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  2. Solving Graph-based Public Good Games with Tree Search and Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  3. Guiding Teacher Forcing with Seer Forcing for Neural Machine TranslationKnowledge distillation → Knowledge distillation for LLMs
  4. LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose PredictionKnowledge distillation → Distillation for medical imaging
  5. Predicting Depth from Semantic Segmentation using Game Engine Dataset
  6. Scalable Approach for Normalizing E-commerce Text Attributes (SANTA)
  7. Early fault detection with multi-target neural networks
  8. Sparse PointPillars: Maintaining and Exploiting Input Sparsity to Improve Runtime on Embedded Systems
  9. Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems
  10. Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data
  11. Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification
  12. Short-term forecasting of global solar irradiance with incomplete data
  13. A Multi-Implicit Neural Representation for Fonts
  14. Improving weakly supervised sound event detection with self-supervised auxiliary tasks
  15. DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking
  16. A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
  17. Can Transformer Language Models Predict Psychometric Properties?
  18. Guaranteed Fixed-Confidence Best Arm Identification in Multi-Armed Bandits: Simple Sequential Elimination Algorithms
  19. Video Super-Resolution Transformer
  20. Harmonization with Flow-based Causal Inference
  21. Federated Learning on Non-IID Data: A Survey
  22. Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
  23. Intelligent Vision Based Wear Forecasting on Surfaces of Machine Tool Elements
  24. Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP
  25. A Game-Theoretic Approach to Multi-Agent Trust Region Optimization
  26. Prompting Contrastive Explanations for Commonsense Reasoning Tasks
  27. A Pseudo Label-wise Attention Network for Automatic ICD Coding
  28. D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
  29. Evaluating Foveated Video Quality Using Entropic Differencing
  30. Quantifying the Conceptual Error in Dimensionality Reduction
  31. Case Study on Detecting COVID-19 Health-Related Misinformation in Social Media
  32. Predicting Higher Education Throughput in South Africa Using a Tree-Based Ensemble Technique
  33. Entropy-based Logic Explanations of Neural Networks
  34. Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation
  35. Zero-Cost Operation Scoring in Differentiable Architecture Search
  36. Machine Translation into Low-resource Language Varieties
  37. Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning
  38. Knowledge Consolidation based Class Incremental Online Learning with Limited Data
  39. A One-Shot Texture-Perceiving Generative Adversarial Network for Unsupervised Surface Inspection
  40. Learngene: From Open-World to Your Learning Task
  41. Predicting the Ordering of Characters in Japanese Historical Documents
  42. Residual Networks based Distortion Classification and Ranking for Laparoscopic Image Quality Assessment
  43. Multi-Context Systems: Dynamics and Evolution (Pre-Print of "Multi-context systems in dynamic environments")
  44. Dynamic Clone Transformer for Efficient Convolutional Neural Netwoks
  45. Model-free Reinforcement Learning for Branching Markov Decision Processes
  46. What can linearized neural networks actually say about generalization?
  47. Cross-Subject Domain Adaptation for Classifying Working Memory Load with Multi-Frame EEG Images
  48. Planning Spatial Networks with Monte Carlo Tree Search
  49. Exploiting Parallel Corpora to Improve Multilingual Embedding based Document and Sentence Alignment
  50. Towards a Privacy-preserving Deep Learning-based Network Intrusion Detection in Data Distribution Services
  51. Relearning ensemble selection based on new generated features
  52. Every Bite Is an Experience: Key Point Analysis of Business Reviews
  53. Tight FPT Approximation for Socially Fair Clustering
  54. Scaling transition from momentum stochastic gradient descent to plain stochastic gradient descent
  55. A decreasing scaling transition scheme from Adam to SGD
  56. DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis
  57. Hippocampus segmentation in magnetic resonance images of Alzheimer's patients using Deep machine learning
  58. Task Transformer Network for Joint MRI Reconstruction and Super-Resolution
  59. Distributionally Robust Optimization with Markovian Data
  60. Engineering Knowledge Graph from Patent Database
  61. A Sentence-level Hierarchical BERT Model for Document Classification with Limited Labelled Data
  62. Multi-level Attention Fusion Network for Audio-visual Event Recognition
  63. Incorporating External POS Tagger for Punctuation Restoration
  64. Go Small and Similar: A Simple Output Decay Brings Better Performance
  65. Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring
  66. Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields
  67. DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation
  68. AutoLoss: Automated Loss Function Search in Recommendations
  69. Simple Combinatorial Algorithms for Combinatorial Bandits: Corruptions and Approximations
  70. Graph Neural Networks with Local Graph Parameters
  71. Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos
  72. Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features
  73. SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
  74. Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers
  75. Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data
  76. Neural Combinatory Constituency Parsing
  77. BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings
  78. Adversarial Robustness via Fisher-Rao Regularization
  79. Multistream ValidNet: Improving 6D Object Pose Estimation by Automatic Multistream Validation
  80. Assessing Multilingual Fairness in Pre-trained Multimodal Representations
  81. Solving PDEs on Unknown Manifolds with Machine Learning
  82. Markov Decision Processes with Long-Term Average Constraints
  83. Semi-supervised Active Regression
  84. Study of sampling methods in sentiment analysis of imbalanced data
  85. Structure-Regularized Attention for Deformable Object Representation
  86. CARTL: Cooperative Adversarially-Robust Transfer Learning
  87. Learnable Hypergraph Laplacian for Hypergraph Learning
  88. Rapid COVID-19 Risk Screening by Eye-region Manifestations
  89. TDGIA:Effective Injection Attacks on Graph Neural Networks
  90. Equivariant Networks for Pixelized Spheres
  91. Provable Adaptation across Multiway Domains via Representation Learning
  92. Disrupting Model Training with Adversarial Shortcuts
  93. Large-Scale Unsupervised Object Discovery
  94. 1st Place Solution for YouTubeVOS Challenge 2021:Video Instance Segmentation