mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 26 Feb 2022

87 papers

  1. Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite HorizonsOffline RL and imitation learning from data → Offline RL algorithms
  2. Content-Variant Reference Image Quality Assessment via Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  3. AI agents for facilitating social interactions and wellbeing
  4. The role of alcohol outlet visits derived from mobile phone location data in enhancing domestic violence prediction at the neighborhood level
  5. Enhanced Nearest Neighbor Classification for Crowdsourcing
  6. Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression
  7. A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings
  8. Parameter-free Mirror Descent
  9. Towards Reducing the Need for Speech Training Data To Build Spoken Language Understanding Systems
  10. A Dynamic Mode Decomposition Approach for Decentralized Spectral Clustering of Graphs
  11. The Quest for a Common Model of the Intelligent Decision Maker
  12. Supervising Remote Sensing Change Detection Models with 3D Surface Semantics
  13. TabID: Automatic Identification and Tabulation of Subproblems in Constraint Models
  14. Automated Data Augmentations for Graph Classification
  15. Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract)
  16. QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning
  17. Orientation-Discriminative Feature Representation for Decentralized Pedestrian Tracking
  18. Safe Exploration for Efficient Policy Evaluation and Comparison
  19. A Generative Model for Relation Extraction and Classification
  20. Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework
  21. RL-PGO: Reinforcement Learning-based Planar Pose-Graph Optimization
  22. How Much Depth Information can Radar Contribute to a Depth Estimation Model?
  23. Adversarial robustness of sparse local Lipschitz predictors
  24. Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization
  25. Dropout can Simulate Exponential Number of Models for Sample Selection Techniques
  26. TaSPM: Targeted Sequential Pattern Mining
  27. Relational Surrogate Loss Learning
  28. Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning
  29. Regularized Bilinear Discriminant Analysis for Multivariate Time Series Data
  30. Whittle Index based Q-Learning for Wireless Edge Caching with Linear Function Approximation
  31. Domain Knowledge-Based Automated Analog Circuit Design with Deep Reinforcement Learning
  32. BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task
  33. Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning
  34. A Systematic Evaluation of Large Language Models of Code
  35. Edge Augmentation for Large-Scale Sketch Recognition without Sketches
  36. Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation
  37. High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization
  38. Integrating Text Inputs For Training and Adapting RNN Transducer ASR Models
  39. COMPASS: a Creative Support System that Alerts Novelists to the Unnoticed Missing Contents
  40. QuoteR: A Benchmark of Quote Recommendation for Writing
  41. DGSS : Domain Generalized Semantic Segmentation using Iterative Style Mining and Latent Representation Alignment
  42. Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors
  43. Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering
  44. RONELDv2: A faster, improved lane tracking method
  45. Automation of reversible steganographic coding with nonlinear discrete optimisation
  46. Direct data-driven forecast of local turbulent heat flux in Rayleigh-B'enard convection
  47. Quantum Algorithms for solving Hard Constrained Optimisation Problems
  48. Multi-image Super-resolution via Quality Map Associated Attention Network
  49. Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends
  50. Accurate Human Body Reconstruction for Volumetric Video
  51. An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing
  52. Analysis of Visual Reasoning on One-Stage Object Detection
  53. Optimal-er Auctions through Attention
  54. Sustainability using Renewable Electricity (SuRE) towards NetZero Emissions
  55. SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization
  56. Symmetric Convolutional Filters: A Novel Way to Constrain Parameters in CNN
  57. Continuous Human Action Recognition for Human-Machine Interaction: A Review
  58. RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
  59. Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
  60. Visual Speech Recognition for Multiple Languages in the Wild
  61. Multi-Level Contrastive Learning for Cross-Lingual Alignment
  62. An Improved Deep Learning Approach For Product Recognition on Racks in Retail Stores
  63. Improved Hard Example Mining Approach for Single Shot Object Detectors
  64. Bi-directional Joint Neural Networks for Intent Classification and Slot Filling
  65. SWIS: Self-Supervised Representation Learning For Writer Independent Offline Signature Verification
  66. Utility and Feasibility of a Center Surround Event Camera
  67. Neuro-Inspired Deep Neural Networks with Sparse, Strong Activations
  68. Global Instance Tracking: Locating Target More Like Humans
  69. Adversarial Contrastive Self-Supervised Learning
  70. Uncertainty-Aware Deep Multi-View Photometric Stereo
  71. A Robust Document Image Watermarking Scheme using Deep Neural Network
  72. An End-to-End Transformer Model for Crowd Localization
  73. Graph Attention Retrospective
  74. Theoretical Error Analysis of Entropy Approximation for Gaussian Mixtures
  75. Initialization of Latent Space Coordinates via Random Linear Projections for Learning Robotic Sensory-Motor Sequences
  76. Automated Identification of Toxic Code Reviews Using ToxiCR
  77. Deep Depth from Focal Stack with Defocus Model for Camera-Setting Invariance
  78. Extending Model-x Framework to Missing Data
  79. Optical flow-based branch segmentation for complex orchard environments
  80. AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation
  81. Distributed Multi-Agent Reinforcement Learning Based on Graph-Induced Local Value Functions
  82. Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm
  83. Towards Revenue Maximization with Popular and Profitable Products
  84. Iterative Genetic Improvement: Scaling Stochastic Program Synthesis
  85. Healthsheet: Development of a Transparency Artifact for Health Datasets
  86. ASSIST: Towards Label Noise-Robust Dialogue State Tracking
  87. Building a visual semantics aware object hierarchy