mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 15 Jul 2023

106 papers

  1. Fast Adaptation with Bradley-Terry Preference Models in Text-To-Image Classification and GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +2
  2. EFOk-CQA: Towards Knowledge Graph Complex Query Answering beyond Set OperationLLM reasoning → Knowledge- and tool-augmented reasoning
  3. The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  4. SoccerKDNet: A Knowledge Distillation Framework for Action Recognition in Soccer VideosKnowledge distillation → General knowledge distillation methods
  5. Abstracting Concept-Changing Rules for Solving Raven's Progressive Matrix ProblemsLLM reasoning → Multimodal reasoning
  6. ExposureDiffusion: Learning to Expose for Low-light Image EnhancementDiffusion models → Inverse problems and image restoration
  7. Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge GraphLLM reasoning → Knowledge- and tool-augmented reasoning
  8. Coupling Large Language Models with Logic Programming for Robust and General Reasoning from TextLLM reasoning → Reasoning benchmarks and evaluation
  9. Probabilistic Black-Box Checking via Active MDP Learning
  10. Investigation of Compressor Cascade Flow Using Physics- Informed Neural Networks with Adaptive Learning Strategy
  11. The Growth of E-Bike Use: A Machine Learning Approach
  12. Sequence-Based Nanobody-Antigen Binding Prediction
  13. Knowledge Graph Enhanced Intelligent Tutoring System Based on Exercise Representativeness and Informativeness
  14. Three-way Decisions with Evaluative Linguistic Expressions
  15. Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model
  16. Automated Knowledge Modeling for Cancer Clinical Practice Guidelines
  17. Causal Laws and Multi-Valued Fluents
  18. On Loop Formulas with Variables
  19. First-Order Stable Model Semantics with Intensional Functions
  20. RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization
  21. Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms
  22. Variational Monte Carlo on a Budget -- Fine-tuning pre-trained Neural Wavefunctions
  23. Intuitive Access to Smartphone Settings Using Relevance Model Trained by Contrastive Learning
  24. Elementary Sets for Logic Programs
  25. Safe Formulas in the General Theory of Stable Models
  26. Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers
  27. Machine Learning Meets Mental Training -- A Proof of Concept Applied to Memory Sports
  28. Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
  29. Anomaly Detection in Automated Fibre Placement: Learning with Data Limitations
  30. Multitemporal SAR images change detection and visualization using RABASAR and simplified GLR
  31. LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models
  32. Handwritten and Printed Text Segmentation: A Signature Case Study
  33. Gradient-free training of neural ODEs for system identification and control using ensemble Kalman inversion
  34. Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning
  35. Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding
  36. Real-time goal recognition using approximations in Euclidean space
  37. Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability
  38. Does Double Descent Occur in Self-Supervised Learning?
  39. Large Language Models as Superpositions of Cultural Perspectives
  40. Custom DNN using Reward Modulated Inverted STDP Learning for Temporal Pattern Recognition
  41. Contrasting the efficiency of stock price prediction models using various types of LSTM models aided with sentiment analysis
  42. CIDER: Context sensitive sentiment analysis for short-form text
  43. Benchmarking the Effectiveness of Classification Algorithms and SVM Kernels for Dry Beans
  44. Unified Adversarial Patch for Cross-modal Attacks in the Physical World
  45. A Multi-Heuristic Search-based Motion Planning for Automated Parking
  46. AspectCSE: Sentence Embeddings for Aspect-based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge
  47. Variational Inference with Gaussian Score Matching
  48. Enabling Real-time Neural Recovery for Cloud Gaming on Mobile Devices
  49. AIOptimizer - Software performance optimisation prototype for cost minimisation
  50. Transformers are Universal Predictors
  51. RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
  52. MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation
  53. HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance
  54. Minimal Random Code Learning with Mean-KL Parameterization
  55. TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation
  56. Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation
  57. Graph Automorphism Group Equivariant Neural Networks
  58. MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis
  59. Opinion mining using Double Channel CNN for Recommender System
  60. Cross-Model Cross-Stream Learning for Self-Supervised Human Action Recognition
  61. Adaptive Nonlinear Latent Transformation for Conditional Face Editing
  62. The Interpolating Information Criterion for Overparameterized Models
  63. Improving Trace Link Recommendation by Using Non-Isotropic Distances and Combinations
  64. Enhanced Gradient Boosting for Zero-Inflated Insurance Claims and Comparative Analysis of CatBoost, XGBoost, and LightGBM
  65. randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning
  66. Explaining and visualizing black-box models through counterfactual paths
  67. Tightly-Coupled LiDAR-Visual SLAM Based on Geometric Features for Mobile Agents
  68. Open Scene Understanding: Grounded Situation Recognition Meets Segment Anything for Helping People with Visual Impairments
  69. Real-time Traffic Classification for 5G NSA Encrypted Data Flows With Physical Channel Records
  70. Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer
  71. Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
  72. Combining model-predictive control and predictive reinforcement learning for stable quadrupedal robot locomotion
  73. On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms
  74. SINC: Self-Supervised In-Context Learning for Vision-Language Tasks
  75. Political Sentiment Analysis of Persian Tweets Using CNN-LSTM Model
  76. Promotion/Inhibition Effects in Networks: A Model with Negative Probabilities
  77. Faster Algorithms for Structured Linear and Kernel Support Vector Machines
  78. Prawn Morphometrics and Weight Estimation from Images using Deep Learning for Landmark Localization
  79. Improving NeRF with Height Data for Utilization of GIS Data
  80. Towards Optimal Neural Networks: the Role of Sample Splitting in Hyperparameter Selection
  81. Improving Translation Invariance in Convolutional Neural Networks with Peripheral Prediction Padding
  82. Spatial-Spectral Hyperspectral Classification based on Learnable 3D Group Convolution
  83. Visual Analytics For Machine Learning: A Data Perspective Survey
  84. PSGformer: Enhancing 3D Point Cloud Instance Segmentation via Precise Semantic Guidance
  85. CA-LoRA: Adapting Existing LoRA for Compressed LLMs to Enable Efficient Multi-Tasking on Personal Devices
  86. Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data
  87. NeurASP: Embracing Neural Networks into Answer Set Programming
  88. Leveraging Large Language Models to Generate Answer Set Programs
  89. Reducing operator complexity in Algebraic Multigrid with Machine Learning Approaches
  90. Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging
  91. A Survey on Change Detection Techniques in Document Images
  92. DRM-IR: Task-Adaptive Deep Unfolding Network for All-In-One Image Restoration
  93. Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C++
  94. Single and Multi-Speaker Cloned Voice Detection: From Perceptual to Learned Features
  95. Learning Subjective Time-Series Data via Utopia Label Distribution Approximation
  96. Data-centric Operational Design Domain Characterization for Machine Learning-based Aeronautical Products
  97. Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition
  98. Sharp Convergence Rates for Matching Pursuit
  99. Both Spatial and Frequency Cues Contribute to High-Fidelity Image Inpainting
  100. Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting
All 106
  1. On the Robustness of Epoch-Greedy in Multi-Agent Contextual Bandit Mechanisms
  2. An Empirical Study of the Effectiveness of Using a Replay Buffer on Mode Discovery in GFlowNets
  3. Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning
  4. Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty
  5. INVE: Interactive Neural Video Editing
  6. A Dialogue System for Assessing Activities of Daily Living: Improving Consistency with Grounded Knowledge