mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 31 Jul 2021

71 papers

  1. Inverse Reinforcement Learning for Strategy IdentificationOffline RL and imitation learning from data → Inverse reinforcement learning
  2. Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human DemonstrationOffline RL and imitation learning from data → Robot learning from demonstration
  3. Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-IdentificationKnowledge distillation → Detection and dense prediction distillation
  4. Detecting Propaganda on the Sentence Level during the COVID-19 Pandemic
  5. Adaptable image quality assessment using meta-reinforcement learning of task amenability
  6. Convolutional Nets for Diabetic Retinopathy Screening in Bangladeshi Patients
  7. A Hypothesis for the Aesthetic Appreciation in Neural Networks
  8. Missingness Augmentation: A General Approach for Improving Generative Imputation Models
  9. Online unsupervised Learning for domain shift in COVID-19 CT scan datasets
  10. Learning Nonlinear Waves in Plasmon-induced Transparency
  11. Sequence Adaptation via Reinforcement Learning in Recommender Systems
  12. Using Query Expansion in Manifold Ranking for Query-Oriented Multi-Document Summarization
  13. Reconstruction guided Meta-learning for Few Shot Open Set Recognition
  14. Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones
  15. Faster Rates of Private Stochastic Convex Optimization
  16. Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis
  17. StudyMe: A New Mobile App for User-Centric N-of-1 Trials
  18. Statistical learning method for predicting density-matrix based electron dynamics
  19. Chest ImaGenome Dataset for Clinical Reasoning
  20. Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent Papers
  21. Conditional Bures Metric for Domain Adaptation
  22. Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
  23. Fair Representation Learning using Interpolation Enabled Disentanglement
  24. A Hybrid Ensemble Feature Selection Design for Candidate Biomarkers Discovery from Transcriptome Profiles
  25. A Psychologically Informed Part-of-Speech Analysis of Depression in Social Media
  26. Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction
  27. Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents
  28. Opinion Prediction with User Fingerprinting
  29. RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer Interactions
  30. Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning
  31. ECLARE: Extreme Classification with Label Graph Correlations
  32. How much pre-training is enough to discover a good subnetwork?
  33. BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver
  34. Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data
  35. SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation
  36. HR-Crime: Human-Related Anomaly Detection in Surveillance Videos
  37. Diverse Linguistic Features for Assessing Reading Difficulty of Educational Filipino Texts
  38. Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction
  39. Debiasing Samples from Online Learning Using Bootstrap
  40. Distributed Learning for Time-varying Networks: A Scalable Design
  41. Pure Exploration and Regret Minimization in Matching Bandits
  42. Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization
  43. Freezing Sub-Models During Incremental Process Discovery: Extended Version
  44. A Plant Root System Algorithm Based on Swarm Intelligence for One-dimensional Biomedical Signal Feature Engineering
  45. Multi-scale Matching Networks for Semantic Correspondence
  46. The Separation Capacity of Random Neural Networks
  47. Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding
  48. HiFT: Hierarchical Feature Transformer for Aerial Tracking
  49. Subjective Image Quality Assessment with Boosted Triplet Comparisons
  50. Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition
  51. Learning with Noisy Labels via Sparse Regularization
  52. Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking
  53. Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework
  54. Greedy Network Enlarging
  55. Learning Instance-level Spatial-Temporal Patterns for Person Re-identification
  56. A Dynamic 3D Spontaneous Micro-expression Database: Establishment and Evaluation
  57. Learning Embeddings that Capture Spatial Semantics for Indoor Navigation
  58. Multiplex Graph Networks for Multimodal Brain Network Analysis
  59. CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention
  60. An Empirical Analysis on Transparent Algorithmic Exploration in Recommender Systems
  61. Deep Image-based Illumination Harmonization
  62. TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning
  63. Manifold-Inspired Single Image Interpolation
  64. Personalized Stress Monitoring using Wearable Sensors in Everyday Settings
  65. Learning to Control DC Motor for Micromobility in Real Time with Reinforcement Learning
  66. Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks
  67. Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control
  68. Structure Amplification on Multi-layer Stochastic Block Models
  69. Margin-Aware Intra-Class Novelty Identification for Medical Images
  70. On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models
  71. DCT2net: an interpretable shallow CNN for image denoising