mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 24 Jul 2023

199 papers

  1. On The Role of Reasoning in the Identification of Subtle Stereotypes in Natural LanguageLLM reasoning → Reasoning benchmarks and evaluation
  2. Pilot Performance modeling via observer-based inverse reinforcement learningOffline RL and imitation learning from data → Inverse reinforcement learning
  3. 3D-LLM: Injecting the 3D World into Large Language ModelsLLM reasoning → Spatial and embodied reasoning +1
  4. A Systematic Survey of Prompt Engineering on Vision-Language Foundation ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  5. Provable Benefits of Policy Learning from Human Preferences in Contextual Bandit ProblemsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  6. A Connection between One-Step Regularization and Critic Regularization in Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  7. Aligning Large Language Models with Human: A SurveyLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  8. RLCD: Reinforcement Learning from Contrastive Distillation for Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  9. Contextual Bandits and Imitation Learning via Preference-Based Active QueriesOffline RL and imitation learning from data → Imitation learning methods
  10. Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute AttacksDiffusion models → Robustness, privacy and adversarial aspects
  11. Understanding the Latent Space of Diffusion Models through the Lens of Riemannian GeometryDiffusion models → Diffusion foundations and sampling
  12. RRAML: Reinforced Retrieval Augmented Machine LearningRetrieval-augmented generation → Agentic RAG, agents and memory
  13. Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of UkraineOffline RL and imitation learning from data → Inverse reinforcement learning
  14. CLIP-KD: An Empirical Study of CLIP Model DistillationKnowledge distillation → Multimodal distillation
  15. A system of inference based on proof search: an extended abstractLLM reasoning → Reasoning benchmarks and evaluation
  16. TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with TransformersDiffusion models → Medical imaging and segmentation
  17. Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive FrameworkLLM reasoning → Multimodal reasoning
  18. A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
  19. Tachikuma: Understading Complex Interactions with Multi-Character and Novel Objects by Large Language ModelsWorld models → Video-generation world models and simulators
  20. Interpolating between Images with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  21. AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  22. TF-ICON: Diffusion-Based Training-Free Cross-Domain Image CompositionDiffusion models → Image generation, text-to-image and editing
  23. Interpretable Ensemble Learning for Materials Property Prediction with Classical Interatomic Potentials: Carbon as an Example
  24. Enhancing image captioning with depth information using a Transformer-based framework
  25. Performance of Large Language Models in a Computer Science Degree Program
  26. HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar
  27. Regulating AI: Applying insights from behavioural economics and psychology to the application of article 5 of the EU AI Act
  28. Personalized Category Frequency prediction for Buy It Again recommendations
  29. Getting pwn'd by AI: Penetration Testing with Large Language Models
  30. Comparative Analysis of Drug-GPT and ChatGPT LLMs for Healthcare Insights: Evaluating Accuracy and Relevance in Patient and HCP Contexts
  31. LLM-Rec: Personalized Recommendation via Prompting Large Language Models
  32. Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI
  33. Synthetic pre-training for neural-network interatomic potentials
  34. Unsupervised reconstruction of accelerated cardiac cine MRI using Neural Fields
  35. Learnable wavelet neural networks for cosmological inference
  36. A Hybrid Machine Learning Model for Classifying Gene Mutations in Cancer using LSTM, BiLSTM, CNN, GRU, and GloVe
  37. A new derivative-free optimization method: Gaussian Crunching Search
  38. Neural Bradley-Terry Rating: Quantifying Properties from Comparisons
  39. Introducing CALMED: Multimodal Annotated Dataset for Emotion Detection in Children with Autism
  40. Control and Monitoring of Artificial Intelligence Algorithms
  41. Evaluating the reliability of automatically generated pedestrian and bicycle crash surrogates
  42. Schema-Driven Actionable Insight Generation and Smart Recommendation
  43. Opinion Mining Using Population-tuned Generative Language Models
  44. Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations
  45. Multi-UAV Speed Control with Collision Avoidance and Handover-aware Cell Association: DRL with Action Branching
  46. Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions
  47. Extending Path-Dependent NJ-ODEs to Noisy Observations and a Dependent Observation Framework
  48. Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?
  49. simPLE: a visuotactile method learned in simulation to precisely pick, localize, regrasp, and place objects
  50. Why Don't You Clean Your Glasses? Perception Attacks with Dynamic Optical Perturbations
  51. Explaining Math Word Problem Solvers
  52. A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning
  53. Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
  54. Conformal prediction for frequency-severity modeling
  55. Automatic Infant Respiration Estimation from Video: A Deep Flow-based Algorithm and a Novel Public Benchmark
  56. An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment
  57. How to use LLMs for Text Analysis
  58. Contrastive Example-Based Control
  59. Label Noise: Correcting the Forward-Correction
  60. Making Metadata More FAIR Using Large Language Models
  61. Fairness Under Demographic Scarce Regime
  62. Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs
  63. General-Purpose Multi-Modal OOD Detection Framework
  64. Detection of Common Subtrees with Identical Label Distribution
  65. Feature Gradient Flow for Interpreting Deep Neural Networks in Head and Neck Cancer Prediction
  66. On the characteristics of natural hydraulic dampers: An image-based approach to study the fluid flow behaviour inside the human meniscal tissue
  67. MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning
  68. The potential of LLMs for coding with low-resource and domain-specific programming languages
  69. Graph Neural Networks For Mapping Variables Between Programs -- Extended Version
  70. Joint speech and overlap detection: a benchmark over multiple audio setup and speech domains
  71. Maximal Independent Sets for Pooling in Graph Neural Networks
  72. Deep neural network improves the estimation of polygenic risk scores for breast cancer
  73. Adaptation of Whisper models to child speech recognition
  74. Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding
  75. IteraTTA: An interface for exploring both text prompts and audio priors in generating music with text-to-audio models
  76. DeepGATGO: A Hierarchical Pretraining-Based Graph-Attention Model for Automatic Protein Function Prediction
  77. Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation
  78. Consistent model selection in the spiked Wigner model via AIC-type criteria
  79. An Isometric Stochastic Optimizer
  80. Evaluating the Ripple Effects of Knowledge Editing in Language Models
  81. Wisdom of Instruction-Tuned Language Model Crowds. Exploring Model Label Variation
  82. DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting
  83. Big Dataunicodex2013Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques
  84. Volcanic ash delimitation using Artificial Intelligence based on Pix2Pix
  85. Learning Dense Correspondences between Photos and Sketches
  86. Audio-Enhanced Text-to-Video Retrieval using Text-Conditioned Feature Alignment
  87. Boosting Punctuation Restoration with Data Generation and Reinforcement Learning
  88. Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling
  89. On Privileged and Convergent Bases in Neural Network Representations
  90. Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection
  91. Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning
  92. Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-Identification
  93. Consensus-based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning
  94. Towards a Visual-Language Foundation Model for Computational Pathology
  95. Dyn-E: Local Appearance Editing of Dynamic Neural Radiance Fields
  96. GridMM: Grid Memory Map for Vision-and-Language Navigation
  97. QAmplifyNet: Pushing the Boundaries of Supply Chain Backorder Prediction Using Interpretable Hybrid Quantum-Classical Neural Network
  98. Universal Approximation Theorem and error bounds for quantum neural networks and quantum reservoirs
  99. Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case
  100. Automotive Object Detection via Learning Sparse Events by Spiking Neurons
All 199
  1. As Time Goes By: Adding a Temporal Dimension Towards Resolving Delegations in Liquid Democracy
  2. Anytime Model Selection in Linear Bandits
  3. Corrections of Zipf's and Heaps' Laws Derived from Hapax Rate Models
  4. A Statistical View of Column Subset Selection
  5. Stochastic Step-wise Feature Selection for Exponential Random Graph Models (ERGMs)
  6. Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data
  7. A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
  8. Multiscale Video Pretraining for Long-Term Activity Forecasting
  9. Spatiotemporal Modeling Encounters 3D Medical Image Analysis: Slice-Shift UNet with Multi-View Fusion
  10. Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization
  11. Multi-View Vertebra Localization and Identification from CT Images
  12. Efficiently Learning One-Hidden-Layer ReLU Networks via Schur Polynomials
  13. EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge: Mixed Sequences Prediction
  14. Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables
  15. End-to-End Deep Transfer Learning for Calibration-free Motor Imagery Brain Computer Interfaces
  16. Learning Provably Robust Estimators for Inverse Problems via Jittering
  17. Described Object Detection: Liberating Object Detection with Flexible Expressions
  18. Comprehending Semantic Types in JSON Data with Graph Neural Networks
  19. Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis
  20. Causal Fair Machine Learning via Rank-Preserving Interventional Distributions
  21. Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification
  22. Is attention all you need in medical image analysis? A review
  23. Fast Full-frame Video Stabilization with Iterative Optimization
  24. Detecting disturbances in network-coupled dynamical systems with machine learning
  25. LiDAR Meta Depth Completion
  26. Code-Switched Urdu ASR for Noisy Telephonic Environment using Data Centric Approach with Hybrid HMM and CNN-TDNN
  27. Nonparametric Linear Feature Learning in Regression Through Regularisation
  28. ICF-SRSR: Invertible scale-Conditional Function for Self-Supervised Real-world Single Image Super-Resolution
  29. Concept-based explainability for an EEG transformer model
  30. COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts
  31. Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction
  32. AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays
  33. CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components
  34. Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction
  35. Safety Performance of Neural Networks in the Presence of Covariate Shift
  36. Policy Gradient Optimal Correlation Search for Variance Reduction in Monte Carlo simulation and Maximum Optimal Transport
  37. MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
  38. Addressing the Impact of Localized Training Data in Graph Neural Networks
  39. An Estimator for the Sensitivity to Perturbations of Deep Neural Networks
  40. Few-shot 1/a Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance
  41. Industrial Segment Anything -- a Case Study in Aircraft Manufacturing, Intralogistics, Maintenance, Repair, and Overhaul
  42. Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling
  43. Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics
  44. A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization
  45. A Theoretically Guaranteed Quaternion Weighted Schatten p-norm Minimization Method for Color Image Restoration
  46. Remote Bio-Sensing: Open Source Benchmark Framework for Fair Evaluation of rPPG
  47. Fake News Detection Through Graph-based Neural Networks: A Survey
  48. PG-RCNN: Semantic Surface Point Generation for 3D Object Detection
  49. Identifying drivers and mitigators for congestion and redispatch in the German electric power system with explainable AI
  50. Automatic lobe segmentation using attentive cross entropy and end-to-end fissure generation
  51. Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment
  52. De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network
  53. Phase Matching for Out-of-Distribution Generalization
  54. Past-present temporal programs over finite traces
  55. Sparse annotation strategies for segmentation of short axis cardiac MRI
  56. Attribute Regularized Soft Introspective VAE: Towards Cardiac Attribute Regularization Through MRI Domains
  57. Predicting Ordinary Differential Equations with Transformers
  58. CTVIS: Consistent Training for Online Video Instance Segmentation
  59. Less is More: Focus Attention for Efficient DETR
  60. ExWarp: Extrapolation and Warping-based Temporal Supersampling for High-frequency Displays
  61. Concept backpropagation: An Explainable AI approach for visualising learned concepts in neural network models
  62. The effect of dataset size and the process of big data mining for investigating solar-thermal desalination by using machine learning
  63. SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation
  64. InVAErt networks: a data-driven framework for model synthesis and identifiability analysis
  65. SL: Stable Learning in Source-Free Domain Adaption for Medical Image Segmentation
  66. PRIOR: Prototype Representation Joint Learning from Medical Images and Reports
  67. Self-refining of Pseudo Labels for Music Source Separation with Noisy Labeled Data
  68. MataDoc: Margin and Text Aware Document Dewarping for Arbitrary Boundary
  69. Towards Generalising Neural Topical Representations
  70. Revisiting Event-based Video Frame Interpolation
  71. Robust Graph Contrastive Learning with Information Restoration
  72. Continuation Path Learning for Homotopy Optimization
  73. MFMAN-YOLO: A Method for Detecting Pole-like Obstacles in Complex Environment
  74. Knapsack: Connectedness, Path, and Shortest-Path
  75. Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model
  76. Adaptive debiased machine learning using data-driven model selection techniques
  77. Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging
  78. UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection
  79. Towards Generalizable Deepfake Detection by Primary Region Regularization
  80. On the Connection between Pre-training Data Diversity and Fine-tuning Robustness
  81. Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph
  82. Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm
  83. Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation
  84. DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning
  85. FaFCNN: A General Disease Classification Framework Based on Feature Fusion Neural Networks
  86. Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold
  87. An Empirical Evaluation of Temporal Graph Benchmark
  88. Information Geometry of Wasserstein Statistics on Shapes and Affine Deformations
  89. Gradient-Based Word Substitution for Obstinate Adversarial Examples Generation in Language Models
  90. Cross Contrasting Feature Perturbation for Domain Generalization
  91. Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training
  92. A faster and simpler algorithm for learning shallow networks
  93. Learning Universal and Robust 3D Molecular Representations with Graph Convolutional Networks
  94. How Does Naming Affect LLMs on Code Analysis Tasks?
  95. Learning Resource Allocation Policy: Vertex-GNN or Edge-GNN?
  96. Model-free generalized fiducial inference
  97. Rethinking Data Distillation: Do Not Overlook Calibration
  98. Rates of Approximation by ReLU Shallow Neural Networks
  99. Robust face anti-spoofing framework with Convolutional Vision Transformer