mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 18 Jun 2022

91 papers

  1. A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsOffline RL and imitation learning from data → Imitation and offline RL for driving
  2. SAViR-T: Spatially Attentive Visual Reasoning with TransformersLLM reasoning → Multimodal reasoning
  3. An Invertible Graph Diffusion Neural Network for Source LocalizationDiffusion models → Flow matching, time series and science
  4. Interactive Visual Reasoning under UncertaintyLLM reasoning → Multimodal reasoning
  5. Certified Graph UnlearningLLM safety and security → Graph unlearning
  6. AI Based Chatbot: An Approach of Utilizing On Customer Service Assistance
  7. Demystifying the Adversarial Robustness of Random Transformation Defenses
  8. Self-Supervised Learning for Videos: A Survey
  9. Adversarial Robustness is at Odds with Lazy Training
  10. AI-based computer-aided diagnostic system of chest digital tomography synthesis: Demonstrating comparative advantage with X-ray-based AI systems
  11. UI Layers Merger: Merging UI layers via Visual Learning and Boundary Prior
  12. Rotated Digit Recognition by Variational Autoencoders with Fixed Output Distributions
  13. ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning
  14. 3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography
  15. Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning
  16. Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation
  17. From Universal Humanoid Control to Automatic Physically Valid Character Creation
  18. MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning
  19. Scalable Classifier-Agnostic Channel Selection for Multivariate Time Series Classification
  20. DECK: Model Hardening for Defending Pervasive Backdoors
  21. Pisces: Efficient Federated Learning via Guided Asynchronous Training
  22. Motley: Benchmarking Heterogeneity and Personalization in Federated Learning
  23. Can Language Models Capture Graph Semantics? From Graphs to Language Model and Vice-Versa
  24. Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches
  25. Optimal Dynamic Regret in LQR Control
  26. Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning
  27. Mutation-Driven Follow the Regularized Leader for Last-Iterate Convergence in Zero-Sum Games
  28. Automatic Summarization of Russian Texts: Comparison of Extractive and Abstractive Methods
  29. Argumentative Text Generation in Economic Domain
  30. RuArg-2022: Argument Mining Evaluation
  31. Collocation2Text: Controllable Text Generation from Guide Phrases in Russian
  32. Reduced Robust Random Cut Forest for Out-Of-Distribution detection in machine learning models
  33. GAN2X: Non-Lambertian Inverse Rendering of Image GANs
  34. Structured Light with Redundancy Codes
  35. GaLeNet: Multimodal Learning for Disaster Prediction, Management and Relief
  36. An Empirical Study of Quantum Dynamics as a Ground State Problem with Neural Quantum States
  37. On the Role of Generalization in Transferability of Adversarial Examples
  38. Model-Agnostic Few-Shot Open-Set Recognition
  39. Bioinspired random projections for robust, sparse classification
  40. 3D Face Parsing via Surface Parameterization and 2D Semantic Segmentation Network
  41. Multi-Modality Image Inpainting using Generative Adversarial Networks
  42. Camera Adaptation for Fundus-Image-Based CVD Risk Estimation
  43. EEML: Ensemble Embedded Meta-learning
  44. Efficient Aggregated Kernel Tests using Incomplete U-statistics
  45. Multi-Modality Image Super-Resolution using Generative Adversarial Networks
  46. Gender Artifacts in Visual Datasets
  47. Causal Inference with Treatment Measurement Error: A Nonparametric Instrumental Variable Approach
  48. PHN: Parallel heterogeneous network with soft gating for CTR prediction
  49. Coin Flipping Neural Networks
  50. REVECA -- Rich Encoder-decoder framework for Video Event CAptioner
  51. MANorm: A Normalization Dictionary for Moroccan Arabic Dialect Written in Latin Script
  52. NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
  53. A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
  54. A Double-Graph Based Framework for Frame Semantic Parsing
  55. Thompson Sampling for (Combinatorial) Pure Exploration
  56. Piecewise Linear Neural Networks and Deep Learning
  57. Deep Compatible Learning for Partially-Supervised Medical Image Segmentation
  58. A Perceptually Optimized and Self-Calibrated Tone Mapping Operator
  59. Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs
  60. Provable Generalization of Overparameterized Meta-learning Trained with SGD
  61. Pre-training Vision Transformers with Formula-driven Supervised Learning
  62. Tackling Spoofing-Aware Speaker Verification with Multi-Model Fusion
  63. A Combined PCA-MLP Network for Early Breast Cancer Detection
  64. Nonparametric Multi-shape Modeling with Uncertainty Quantification
  65. Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games
  66. NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks
  67. Bear the Query in Mind: Visual Grounding with Query-conditioned Convolution
  68. Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting
  69. Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting
  70. VReBERT: A Simple and Flexible Transformer for Visual Relationship Detection
  71. Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent
  72. Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
  73. Embodied Scene-aware Human Pose Estimation
  74. Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems
  75. Decoupled Federated Learning for ASR with Non-IID Data
  76. The Consistency of Adversarial Training for Binary Classification
  77. Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification
  78. Secure Embedding Aggregation for Federated Representation Learning
  79. From Understanding Genetic Drift to a Smart-Restart Mechanism for Estimation-of-Distribution Algorithms
  80. A Dynamic Data Driven Approach for Explainable Scene Understanding
  81. Context-aware Proposal Network for Temporal Action Detection
  82. Fair Generalized Linear Models with a Convex Penalty
  83. Comment on Transferability and Input Transformation with Additive Noise
  84. Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact
  85. Analysis & Computational Complexity Reduction of Monocular and Stereo Depth Estimation Techniques
  86. Attention-based Dynamic Subspace Learners for Medical Image Analysis
  87. Free-form Lesion Synthesis Using a Partial Convolution Generative Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation
  88. Design of Supervision-Scalable Learning Systems: Methodology and Performance Benchmarking
  89. CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
  90. NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling
  91. Augmented Imagefication: A Data-driven Fault Detection Method for Aircraft Air Data Sensors