mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 29 Dec 2022

108 papers

  1. Offline Policy Optimization in RL with Variance RegularizatonOffline RL and imitation learning from data → Offline RL algorithms
  2. Foreground-Background Separation through Concept Distillation from Generative Image Foundation ModelsDiffusion models → Medical imaging and segmentation
  3. Discriminator-Cooperated Feature Map Distillation for GAN CompressionKnowledge distillation → General knowledge distillation methods
  4. Transformers in Action Recognition: A Review on Temporal Modeling
  5. Inching Towards Automated Understanding of the Meaning of Art: An Application to Computational Analysis of Mondrian's Artwork
  6. Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network
  7. A Benchmark Generator for Combinatorial Testing
  8. Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network
  9. Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification
  10. Deep R Programming
  11. Ontology-based Context Aware Recommender System Application for Tourism
  12. Multimodal Sequential Generative Models for Semi-Supervised Language Instruction Following
  13. FlatENN: Train Flat for Enhanced Fault Tolerance of Quantized Deep Neural Networks
  14. Political representation bias in DBpedia and Wikidata as a challenge for downstream processing
  15. Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management
  16. New Designed Loss Functions to Solve Ordinary Differential Equations with Artificial Neural Network
  17. On the Geometry of Reinforcement Learning in Continuous State and Action Spaces
  18. Effects of Data Geometry in Early Deep Learning
  19. Selected aspects of complex, hypercomplex and fuzzy neural networks
  20. Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing
  21. Intrinsic Motivation in Dynamical Control Systems
  22. SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering
  23. Examining Political Rhetoric with Epistemic Stance Detection
  24. Pensieve 5G: Implementation of RL-based ABR Algorithm for UHD 4K/8K Content Delivery on Commercial 5G SA/NR-DC Network
  25. A Novel Experts Advice Aggregation Framework Using Deep Reinforcement Learning for Portfolio Management
  26. Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formats
  27. An Instrumental Variable Approach to Confounded Off-Policy Evaluation
  28. Cluster-level Group Representativity Fairness in k-means Clustering
  29. Quantile Off-Policy Evaluation via Deep Conditional Generative Learning
  30. Planning with Complex Data Types in PDDL
  31. Bayesian Interpolation with Deep Linear Networks
  32. MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid
  33. Learning Multimodal Data Augmentation in Feature Space
  34. Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games
  35. On the utility of feature selection in building two-tier decision trees
  36. A Theoretical Framework for AI Models Explainability with Application in Biomedicine
  37. Fruit Ripeness Classification: a Survey
  38. An Optimal Algorithm for Strongly Convex Min-min Optimization
  39. An algorithm for clustering with confidence-based must-link and cannot-link constraints
  40. Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games
  41. Efficient Movie Scene Detection using State-Space Transformers
  42. Restricting to the chip architecture maintains the quantum neural network accuracy
  43. Normalizing flow neural networks by JKO scheme
  44. Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations
  45. Cross Version Defect Prediction with Class Dependency Embeddings
  46. GPT Takes the Bar Exam
  47. Visual CPG-RL: Learning Central Pattern Generators for Visually-Guided Quadruped Locomotion
  48. AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains
  49. Graph Federated Learning for CIoT Devices in Smart Home Applications
  50. Eliminating Meta Optimization Through Self-Referential Meta Learning
  51. Long-horizon video prediction using a dynamic latent hierarchy
  52. Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks
  53. Can 5th Generation Local Training Methods Support Client Sampling? Yes!
  54. Deep Temporal Contrastive Clustering
  55. INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation
  56. Characterization of the Global Bias Problem in Aerial Federated Learning
  57. StyleRes: Transforming the Residuals for Real Image Editing with StyleGAN
  58. Properties of Group Fairness Metrics for Rankings
  59. On Learning the Structure of Clusters in Graphs
  60. Constant Approximation for Normalized Modularity and Associations Clustering
  61. BagFormer: Better Cross-Modal Retrieval via bag-wise interaction
  62. Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients
  63. Safe Subgame Resolving for Extensive Form Correlated Equilibrium
  64. "Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice
  65. MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery
  66. Learning to mask: Towards generalized face forgery detection
  67. Error syntax aware augmentation of feedback comment generation dataset
  68. High-temporal-resolution event-based vehicle detection and tracking
  69. Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning
  70. Industrial Scene Change Detection using Deep Convolutional Neural Networks
  71. Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects
  72. Do Bayesian Variational Autoencoders Know What They Don't Know?
  73. Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction
  74. Detection of out-of-distribution samples using binary neuron activation patterns
  75. 3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI
  76. Sequence Generation with Label Augmentation for Relation Extraction
  77. Invariance to Quantile Selection in Distributional Continuous Control
  78. HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization
  79. HUSP-SP: Faster Utility Mining on Sequence Data
  80. Robust representations of oil wells' intervals via sparse attention mechanism
  81. Practical exposure correction via compensation
  82. GPTR: Gestalt-Perception Transformer for Diagram Object Detection
  83. Exploring Depth Information for Face Manipulation Detection
  84. Condensed Representation of Machine Learning Data
  85. Local Learning on Transformers via Feature Reconstruction
  86. Backward Curriculum Reinforcement Learning
  87. Maximizing Use-Case Specificity through Precision Model Tuning
  88. PointVST: Self-Supervised Pre-training for 3D Point Clouds via View-Specific Point-to-Image Translation
  89. Theoretical Guarantees for Sparse Principal Component Analysis based on the Elastic Net
  90. A Unified Object Counting Network with Object Occupation Prior
  91. Learned Hierarchical B-frame Coding with Adaptive Feature Modulation for YUV 4:2:0 Content
  92. WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users across Networks via Regularized Representation Learning
  93. Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network
  94. PanDepth: Joint Panoptic Segmentation and Depth Completion
  95. Current State of Community-Driven Radiological AI Deployment in Medical Imaging
  96. Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Genomic Data
  97. On Transforming Reinforcement Learning by Transformer: The Development Trajectory
  98. A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators
  99. OrthoGAN:High-Precision Image Generation for Teeth Orthodontic Visualization
  100. A Deep Learning Method for Real-time Bias Correction of Wind Field Forecasts in the Western North Pacific
All 108
  1. BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons
  2. A Class-wise Non-salient Region Generalized Framework for Video Semantic Segmentation
  3. A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization
  4. Macro-block dropout for improved regularization in training end-to-end speech recognition models
  5. Multimodal Wildland Fire Smoke Detection
  6. Investigating Sindy As a Tool For Causal Discovery In Time Series Signals
  7. Robust Bayesian Subspace Identification for Small Data Sets
  8. TAToo: Vision-based Joint Tracking of Anatomy and Tool for Skull-base Surgery