mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 15 Sep 2024

142 papers

  1. GLEAN: Generative Learning for Eliminating Adversarial NoiseDiffusion models → Robustness, privacy and adversarial aspects
  2. Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic ReportsRetrieval-augmented generation → Medical and biomedical RAG
  3. GRIN: Zero-Shot Metric Depth with Pixel-Level DiffusionDiffusion models → 3D, point cloud and scene generation
  4. Robots that Suggest Safe AlternativesOffline RL and imitation learning from data → Safe offline RL +1
  5. Critic as Lyapunov function (CALF): a model-free, stability-ensuring agentDeep reinforcement learning methods → RL theory and sample complexity
  6. Latent Diffusion Models for Controllable RNA Sequence GenerationDiffusion models → Flow matching, time series and science
  7. Causal Inference with Large Language Model: A SurveyLLM reasoning → Causal reasoning in LLMs
  8. Famba-V: Fast Vision Mamba with Cross-Layer Token FusionState-space sequence models (S4, Mamba) → Vision Mamba backbones
  9. Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
  10. Rewind-to-Delete: Certified Machine Unlearning for Nonconvex FunctionsLLM safety and security → Machine unlearning
  11. EgoFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Self-DrivingEnd-to-end autonomous driving → End-to-end system architecture
  12. Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences through f-divergence MinimizationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  13. PersonaMark: Personalized LLM watermarking for model protection and user attributionLLM safety and security → Watermarking generated content and models
  14. Finetuning CLIP to Reason about Pairwise DifferencesLLM reasoning → Multimodal reasoning +1
  15. Automatic Control With Human-Like Reasoning: Exploring Language Model Embodied Air Traffic AgentsLLM reasoning → Spatial and embodied reasoning +1
  16. E-Commerce Inpainting with Mask Guidance in Controlnet for Reducing OvercompletionDiffusion models → 3D, point cloud and scene generation
  17. Mitigating Dimensionality in 2D Rectangle Packing Problem under Reinforcement Learning SchemaDeep reinforcement learning methods → RL for robot navigation and UAV control
  18. SITSMamba for Crop Classification based on Satellite Image Time SeriesState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  19. EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing ModelsDiffusion models → Video generation
  20. KAN v.s. MLP for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  21. Conditional sampling within generative diffusion modelsDiffusion models → Diffusion foundations and sampling
  22. SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer NetworksState-space sequence models (S4, Mamba) → Vision Mamba backbones
  23. Extract and Diffuse: Latent Integration for Improved Diffusion-based Speech and Vocal EnhancementDiffusion models → Audio, speech and music
  24. HJ-sampler: A Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton-Jacobi PDEs and score-based generative modelsDiffusion models → Diffusion foundations and sampling
  25. Rethinking KenLM: Good and Bad Model Ensembles for Efficient Text Quality Filtering in Large Web CorporaLLM reasoning → Reasoning benchmarks and evaluation
  26. DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large MotionDiffusion models → Image generation, text-to-image and editing
  27. Towards Data-Centric RLHF: Simple Metrics for Preference Dataset ComparisonLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  28. ValueCompass: A Framework for Measuring Contextual Value Alignment Between Human and LLMsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  29. RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code GenerationLLM reasoning → Reasoning for agents, planning and code
  30. NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-trainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  31. Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language ModelEnd-to-end autonomous driving → Large language models for driving
  32. Bias Begets Bias: The Impact of Biased Embeddings on Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  33. TG-LLaVA: Text Guided LLaVA via Learnable Latent EmbeddingsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  34. Dreaming User Multimodal Representation Guided by The Platonic Representation Hypothesis for Micro-Video Recommendation
  35. Integrating AI's Carbon Footprint into Risk Management Frameworks: Strategies and Tools for Sustainable Compliance in Banking Sector
  36. Aligning AI with Public Values: Deliberation and Decision-Making for Governing Multimodal LLMs in Political Video Analysis
  37. Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings
  38. Optimizing the Songwriting Process: Genre-Based Lyric Generation Using Deep Learning Models
  39. Efficient Hybrid Inference for LLMs: Reward-Based Token Modelling with Selective Cloud Assistance
  40. Language Models Learn Metadata: Political Stance Detection Case Study
  41. Entity-Aware Self-Attention and Contextualized GCN for Enhanced Relation Extraction in Long Sentences
  42. Machine Learning for Analyzing Atomic Force Microscopy (AFM) Images Generated from Polymer Blends
  43. Analysis of flexible traffic control method in SDN
  44. A hybrid solution for 2-UAV RAN slicing
  45. Veridical Data Science for Medical Foundation Models
  46. Recent advances in deep learning and language models for studying the microbiome
  47. A Tie-breaking based Local Search Algorithm for Stable Matching Problems
  48. Detection Made Easy: Potentials of Large Language Models for Solidity Vulnerabilities
  49. A clustering adaptive Gaussian process regression method: response patterns based real-time prediction for nonlinear solid mechanics problems
  50. Estimating Wage Disparities Using Foundation Models
  51. Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation
  52. Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks
  53. Acquiring Pronunciation Knowledge from Transcribed Speech Audio via Multi-task Learning
  54. Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
  55. Leiden-Fusion Partitioning Method for Effective Distributed Training of Graph Embeddings
  56. Proximal Ranking Policy Optimization for Practical Safety in Counterfactual Learning to Rank
  57. REG: Refined Generalized Focal Loss for Road Asset Detection on Thai Highways Using Vision-Based Detection and Segmentation Models
  58. Scaling Continuous Kernels with Sparse Fourier Domain Learning
  59. Towards Kinetic Manipulation of the Latent Space
  60. S2Cap: A Benchmark and a Baseline for Singing Style Captioning
  61. Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective
  62. A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal View
  63. A Benchmark Dataset with Larger Context for Non-Factoid Question Answering over Islamic Text
  64. Tracking Virtual Meetings in the Wild: Re-identification in Multi-Participant Virtual Meetings
  65. Template-based Multi-Domain Face Recognition
  66. Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling
  67. NARF24: Estimating Articulated Object Structure for Implicit Rendering
  68. On the Effect of Robot Errors on Human Teaching Dynamics
  69. GP-GPT: Large Language Model for Gene-Phenotype Mapping
  70. A Simpler Alternative to Variational Regularized Counterfactual Risk Minimization
  71. PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics
  72. Abnormal Event Detection In Videos Using Deep Embedding
  73. Domain and Content Adaptive Convolutions for Cross-Domain Adenocarcinoma Segmentation
  74. Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
  75. Federated Learning in Adversarial Environments: Testbed Design and Poisoning Resilience in Cybersecurity
  76. Enhancing Data Quality through Self-learning on Imbalanced Financial Risk Data
  77. Multiple Rotation Averaging with Constrained Reweighting Deep Matrix Factorization
  78. BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matching
  79. Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition
  80. Enhancing Lesion Segmentation in PET/CT Imaging with Deep Learning and Advanced Data Preprocessing Techniques
  81. Learning Rate Optimization for Deep Neural Networks Using Lipschitz Bandits
  82. RandALO: Out-of-sample risk estimation in no time flat
  83. Underwater Image Enhancement via Dehazing and Color Restoration
  84. Cluster Aware Graph Anomaly Detection
  85. Automated Lesion Segmentation in Whole-Body PET/CT in a multitracer setting
  86. ELMI: Interactive and Intelligent Sign Language Translation of Lyrics for Song Signing
  87. MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation
  88. Analysis of Centrifugal Clutches in Two-Speed Automatic Transmissions with Deep Learning-Based Engagement Prediction
  89. Towards Single-Lens Controllable Depth-of-Field Imaging via Depth-Aware Point Spread Functions
  90. DARDA: Domain-Aware Real-Time Dynamic Neural Network Adaptation
  91. Explore the Hallucination on Low-level Perception for MLLMs
  92. The Optimality of (Accelerated) SGD for High-Dimensional Quadratic Optimization
  93. OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data
  94. Benchmarking LLMs in Political Content Text-Annotation: Proof-of-Concept with Toxicity and Incivility Data
  95. VGG-Tex: A Vivid Geometry-Guided Facial Texture Estimation Model for High Fidelity Monocular 3D Face Reconstruction
  96. Learning Two-factor Representation for Magnetic Resonance Image Super-resolution
  97. From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare
  98. Precise Pick-and-Place using Score-Based Diffusion Networks
  99. MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery Detection
  100. Measuring Recency Bias In Sequential Recommendation Systems
All 142
  1. Disentangling Visual Priors: Unsupervised Learning of Scene Interpretations with Compositional Autoencoder
  2. Pre-Training for 3D Hand Pose Estimation with Contrastive Learning on Large-Scale Hand Images in the Wild
  3. ELSA: Exploiting Layer-wise N:M Sparsity for Vision Transformer Acceleration
  4. Synergistic Spotting and Recognition of Micro-Expression via Temporal State Transition
  5. Exploring Utility in a Real-World Warehouse Optimization Problem: Formulation Based on Quantum Annealers and Preliminary Results
  6. AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs
  7. GFlowNet Pretraining with Inexpensive Rewards
  8. Predicting building types and functions at transnational scale
  9. Extrapolative ML Models for Copolymers
  10. Training Safe Neural Networks with Global SDP Bounds
  11. Return Prediction for Mean-Variance Portfolio Selection: How Decision-Focused Learning Shapes Forecasting Models
  12. Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography
  13. A Comprehensive Methodological Survey of Human Activity Recognition Across Divers Data Modalities
  14. Model Selection Through Model Sorting
  15. Unsupervised Hyperspectral and Multispectral Image Blind Fusion Based on Deep Tucker Decomposition Network with Spatial-Spectral Manifold Learning
  16. ExploreSelf: Fostering User-driven Exploration and Reflection on Personal Challenges with Adaptive Guidance by Large Language Models
  17. Leveraging Open-Source Large Language Models for Native Language Identification
  18. Unveiling Gender Bias in Large Language Models: Using Teacher's Evaluation in Higher Education As an Example
  19. Self-supervised Learning for Acoustic Few-Shot Classification
  20. A Simple HMM with Self-Supervised Representations for Phone Segmentation
  21. COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification
  22. AACessTalk: Fostering Communication between Minimally Verbal Autistic Children and Parents with Contextual Guidance and Card Recommendation
  23. Towards understanding evolution of science through language model series
  24. A Novel Framework For Text Detection From Natural Scene Images With Complex Background
  25. Confidence Estimation for LLM-Based Dialogue State Tracking
  26. Can Large Language Models Grasp Event Signals? Exploring Pure Zero-Shot Event-based Recognition
  27. Understanding Simplicity Bias towards Compositional Mappings via Learning Dynamics
  28. Stutter-Solver: End-to-end Multi-lingual Dysfluency Detection
  29. Enhancing Weakly-Supervised Object Detection on Static Images through (Hallucinated) Motion
  30. Enhancing Text Annotation through Rationale-Driven Collaborative Few-Shot Prompting
  31. Integrating Audio Narrations to Strengthen Domain Generalization in Multimodal First-Person Action Recognition
  32. TextureDiffusion: Target Prompt Disentangled Editing for Various Texture Transfer
  33. A Survey of Foundation Models for Music Understanding
  34. Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy
  35. One-Shot Learning for Pose-Guided Person Image Synthesis in the Wild
  36. Open-World Test-Time Training: Self-Training with Contrast Learning
  37. GLCONet: Learning Multi-source Perception Representation for Camouflaged Object Detection
  38. Machine learning assisted screening of metal binary alloys for anode materials
  39. MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences
  40. Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing?
  41. Learning Transferable Features for Implicit Neural Representations
  42. Astrometric Binary Classification Via Artificial Neural Networks