mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 19 Jun 2022

76 papers

  1. Learning Multi-Task Transferable Rewards via Variational Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
  2. Towards Adversarial Attack on Vision-Language Pre-training ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  3. Scalable Neural Data Server: A Data Recommender for Transfer LearningMixture-of-experts → MoE large language models
  4. A Survey on Model-based Reinforcement LearningWorld models → Latent dynamics models and model-based RL
  5. Robust Imitation Learning against Variations in Environment DynamicsOffline RL and imitation learning from data → Imitation learning methods
  6. Navigating Incommensurability Between Ethnomethodology, Conversation Analysis, and Artificial Intelligence
  7. Prevent Car Accidents by Using AI
  8. Adversarially trained neural representations may already be as robust as corresponding biological neural representations
  9. Traffic-Twitter Transformer: A Nature Language Processing-joined Framework For Network-wide Traffic Forecasting
  10. An Embedded Feature Selection Framework for Control
  11. Generational Differences in Automobility: Comparing America's Millennials and Gen Xers Using Gradient Boosting Decision Trees
  12. Artificial intelligence system based on multi-value classification of fully connected neural network for construction management
  13. Hybrid Facial Expression Recognition (FER2013) Model for Real-Time Emotion Classification and Prediction
  14. Resource-Efficient Separation Transformer
  15. A Parallel Implementation of Computing Mean Average Precision
  16. Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors
  17. Integrated Weak Learning
  18. The Power of Regularization in Solving Extensive-Form Games
  19. On the Limitations of Stochastic Pre-processing Defenses
  20. Video frame interpolation for high dynamic range sequences captured with dual-exposure sensors
  21. An Analysis of the Admissibility of the Objective Functions Applied in Evolutionary Multi-objective Clustering
  22. Predicting Human Performance in Vertical Hierarchical Menu Selection in Immersive AR Using Hand-gesture and Head-gaze
  23. StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
  24. Geometric Matrix Completion via Sylvester Multi-Graph Neural Network
  25. 3D Object Detection for Autonomous Driving: A Comprehensive Survey
  26. A Universal Adversarial Policy for Text Classifiers
  27. All you need is feedback: Communication with block attention feedback codes
  28. Bounding Evidence and Estimating Log-Likelihood in VAE
  29. Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting
  30. SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking Neural Networks
  31. Compression and Data Similarity: Combination of Two Techniques for Communication-Efficient Solving of Distributed Variational Inequalities
  32. Extending regionalization algorithms to explore spatial process heterogeneity
  33. ADBench: Anomaly Detection Benchmark
  34. Efficient End-to-End AutoML via Scalable Search Space Decomposition
  35. Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation
  36. Agricultural Plantation Classification using Transfer Learning Approach based on CNN
  37. LordNet: An Efficient Neural Network for Learning to Solve Parametric Partial Differential Equations without Simulated Data
  38. Terrain Classification using Transfer Learning on Hyperspectral Images: A Comparative study
  39. Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System
  40. MME-CRS: Multi-Metric Evaluation Based on Correlation Re-Scaling for Evaluating Open-Domain Dialogue
  41. Aligning individual brains with Fused Unbalanced Gromov-Wasserstein
  42. Transfer Learning for Robust Low-Resource Children's Speech ASR with Transformers and Source-Filter Warping
  43. Dual Representation Learning for Out-of-Distribution Detection
  44. Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data
  45. Sampling from Log-Concave Distributions over Polytopes via a Soft-Threshold Dikin Walk
  46. Graph Neural Network Aided MU-MIMO Detectors
  47. Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection
  48. 0/1 Deep Neural Networks via Block Coordinate Descent
  49. A Self-Guided Framework for Radiology Report Generation
  50. Gray Learning from Non-IID Data with Out-of-distribution Samples
  51. mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detection
  52. Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
  53. Semi-supervised Change Detection of Small Water Bodies Using RGB and Multispectral Images in Peruvian Rainforests
  54. Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
  55. Towards Generalizable Person Re-identification with a Bi-stream Generative Model
  56. Modeling Transformative AI Risks (MTAIR) Project -- Summary Report
  57. Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection
  58. What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs
  59. A Unified Understanding of Deep NLP Models for Text Classification
  60. Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks
  61. Nested bandits
  62. Fairness-aware Model-agnostic Positive and Unlabeled Learning
  63. Finding Diverse and Predictable Subgraphs for Graph Domain Generalization
  64. Bayesian Optimization under Stochastic Delayed Feedback
  65. Learning Multiscale Transformer Models for Sequence Generation
  66. LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks
  67. EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm
  68. Characterizing and Mitigating the Difficulty in Training Physics-informed Artificial Neural Networks under Pointwise Constraints
  69. TrafficFlowGAN: Physics-informed Flow based Generative Adversarial Network for Uncertainty Quantification
  70. FRAPPE: underlineFast underlineRank underlineApproximation with underlineExplainable Features for Tensors
  71. Knowledge Learning with Crowdsourcing: A Brief Review and Systematic Perspective
  72. Laziness, Barren Plateau, and Noise in Machine Learning
  73. Primal Estimated Subgradient Solver for SVM for Imbalanced Classification
  74. TBraTS: Trusted Brain Tumor Segmentation
  75. Adversarial Scrutiny of Evidentiary Statistical Software
  76. Enforcing continuous symmetries in physics-informed neural network for solving forward and inverse problems of partial differential equations