mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 11 Jun 2023

106 papers

  1. Stable Remaster: Bridging the Gap Between Old Content and New DisplaysDiffusion models → Inverse problems and image restoration
  2. Improving Knowledge Extraction from LLMs for Task Learning through Agent AnalysisLLM agents and tool use → General LLM agent frameworks and benchmarks
  3. Reinforcement Learning in Robotic Motion Planning by Combined Experience-based Planning and Self-Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  4. Adaptive Multi-Teacher Knowledge Distillation with Meta-LearningKnowledge distillation → General knowledge distillation methods
  5. GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language ModelKnowledge distillation → Knowledge distillation for LLMs
  6. Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation MethodKnowledge distillation → Knowledge distillation for LLMs
  7. Policy Regularization with Dataset Constraint for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  8. Provably Efficient Adversarial Imitation Learning with Unknown TransitionsOffline RL and imitation learning from data → Imitation learning methods
  9. Learning World Models with Identifiable FactorizationWorld models → Latent dynamics models and model-based RL
  10. Inductive reasoning in humans and large language modelsLLM reasoning → Reasoning benchmarks and evaluation
  11. Predictive Modeling of Menstrual Cycle Length: A Time Series Forecasting Approach
  12. Enhancing Evacuation Planning through Multi-Agent Simulation and Artificial Intelligence: Understanding Human Behavior in Hazardous Environments
  13. Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements
  14. A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction
  15. Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework
  16. Deep Demixing: Reconstructing the Evolution of Network Epidemics
  17. Multi-modal Representation Learning for Social Post Location Inference
  18. A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
  19. A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks
  20. Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport
  21. Novel Regression and Least Square Support Vector Machine Learning Technique for Air Pollution Forecasting
  22. Progressive Class-Wise Attention (PCA) Approach for Diagnosing Skin Lesions
  23. Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma
  24. Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications
  25. Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization
  26. Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction
  27. CARNA: Characterizing Advanced heart failure Risk and hemodyNAmic phenotypes using learned multi-valued decision diagrams
  28. AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing
  29. On the Efficacy of 3D Point Cloud Reinforcement Learning
  30. Kepler: Robust Learning for Faster Parametric Query Optimization
  31. VBSF-TLD: Validation-Based Approach for Soft Computing-Inspired Transfer Learning in Drone Detection
  32. A blind spot for large language models: Supradiegetic linguistic information
  33. A Neural Network Implementation for Free Energy Principle
  34. Graph Mixup with Soft Alignments
  35. Augmenting Greybox Fuzzing with Generative AI
  36. Multimodal Pathology Image Search Between H&E Slides and Multiplexed Immunofluorescent Images
  37. Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering
  38. Approximation Algorithms for Fair Range Clustering
  39. Improving the Validity of Decision Trees as Explanations
  40. Between-Sample Relationship in Learning Tabular Data Using Graph and Attention Networks
  41. The Impact of ChatGPT and LLMs on Medical Imaging Stakeholders: Perspectives and Use Cases
  42. Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing with Zero-Shot Reinforcement Learning
  43. Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression
  44. Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach
  45. CoTran: An LLM-based Code Translator using Reinforcement Learning with Feedback from Compiler and Symbolic Execution
  46. 3rd Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation
  47. Moving beyond simulation: data-driven quantitative photoacoustic imaging using tissue-mimicking phantoms
  48. Precise and Generalized Robustness Certification for Neural Networks
  49. Trees versus Neural Networks for enhancing tau lepton real-time selection in proton-proton collisions
  50. Efficient Skip Connections Realization for Secure Inference on Encrypted Data
  51. An information-Theoretic Approach to Semi-supervised Transfer Learning
  52. A Normalized Bottleneck Distance on Persistence Diagrams and Homology Preservation under Dimension Reduction
  53. E(2)-Equivariant Vision Transformer
  54. Differentially Private Conditional Independence Testing
  55. PWR-Align: Leveraging Part-Whole Relationships for Part-wise Rigid Point Cloud Registration in Mixed Reality Applications
  56. On Minimizing the Impact of Dataset Shifts on Actionable Explanations
  57. FedDec: Peer-to-peer Aided Federated Learning
  58. Neural Architecture Design and Robustness: A Dataset
  59. QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search
  60. On the Confidence Intervals in Bioequivalence Studies
  61. Toward Fair Facial Expression Recognition with Improved Distribution Alignment
  62. Open Brain AI. Automatic Language Assessment
  63. Self-Enhancement Improves Text-Image Retrieval in Foundation Visual-Language Models
  64. Language Versatilists vs. Specialists: An Empirical Revisiting on Multilingual Transfer Ability
  65. LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark
  66. UAV Trajectory and Multi-User Beamforming Optimization for Clustered Users Against Passive Eavesdropping Attacks With Unknown CSI
  67. Happy People -- Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models
  68. Self-supervised Equality Embedded Deep Lagrange Dual for Approximate Constrained Optimization
  69. Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with Academic Compute
  70. TransMRSR: Transformer-based Self-Distilled Generative Prior for Brain MRI Super-Resolution
  71. LF-PGVIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras using Points and Geodesic Segments
  72. EaSyGuide : ESG Issue Identification Framework leveraging Abilities of Generative Large Language Models
  73. PVPUFormer: Probabilistic Visual Prompt Unified Transformer for Interactive Image Segmentation
  74. Predicting Software Performance with Divide-and-Learn
  75. Efficient Learning of Minimax Risk Classifiers in High Dimensions
  76. Well-Calibrated Probabilistic Predictive Maintenance using Venn-Abers
  77. Face0: Instantaneously Conditioning a Text-to-Image Model on a Face
  78. PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm
  79. 2-D SSM: A General Spatial Layer for Visual Transformers
  80. Resolution for Constrained Pseudo-Propositional Logic
  81. On Kinetic Optimal Probability Paths for Generative Models
  82. RestGPT: Connecting Large Language Models with Real-World RESTful APIs
  83. Weakly Supervised Visual Question Answer Generation
  84. ARIST: An Effective API Argument Recommendation Approach
  85. Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
  86. Parameter-free version of Adaptive Gradient Methods for Strongly-Convex Functions
  87. Learning the Positions in CountSketch
  88. Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks
  89. Task-Oriented Integrated Sensing, Computation and Communication for Wireless Edge AI
  90. Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing
  91. Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
  92. RoBERTweet: A BERT Language Model for Romanian Tweets
  93. Neural Projection Mapping Using Reflectance Fields
  94. Blocked Cross-Validation: A Precise and Efficient Method for Hyperparameter Tuning
  95. Compositional Prototypical Networks for Few-Shot Classification
  96. REACT2023: the first Multi-modal Multiple Appropriate Facial Reaction Generation Challenge
  97. Fast, Distribution-free Predictive Inference for Neural Networks with Coverage Guarantees
  98. Importance Sparsification for Sinkhorn Algorithm
  99. Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder
  100. Semantically-aware Mask CycleGAN for Translating Artistic Portraits to Photo-realistic Visualizations
All 106
  1. Learnable Digital Twin for Efficient Wireless Network Evaluation
  2. Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates
  3. Hinting Pipeline and Multivariate Regression CNN for Maize Kernel Counting on the Ear
  4. Local-to-global Perspectives on Graph Neural Networks
  5. High-Fidelity Audio Compression with Improved RVQGAN
  6. A Probabilistic Framework for Modular Continual Learning