mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 19 May 2024

120 papers

  1. MeteoRA: Multiple-tasks Embedded LoRA for Large Language ModelsMixture-of-experts → Mixture of LoRA experts
  2. Human-Centered LLM-Agent User Interface: A Position PaperLLM agents and tool use → GUI and mobile agents
  3. Do No Harm: A Counterfactual Approach to Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
  4. Hummer: Towards Limited Competitive Preference DatasetLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  5. Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical ReasoningLLM reasoning → Clinical and biomedical applications +1
  6. Searching Realistic-Looking Adversarial Objects For Autonomous Driving SystemsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  7. Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  8. Switched Flow Matching: Eliminating Singularities via Switching ODEsDiffusion models → Flow matching, time series and science
  9. From Fourier to Neural ODEs: Flow Matching for Modeling Complex SystemsDiffusion models → Flow matching, time series and science
  10. Learning More Generalized Experts by Merging Experts in Mixture-of-ExpertsMixture-of-experts → Mixture of LoRA experts
  11. Diffusion-Based Hierarchical Image SteganographyDiffusion models → Robustness, privacy and adversarial aspects
  12. Going into Orbit: Massively Parallelizing Episodic Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  13. Enhancing Vehicle Aerodynamics with Deep Reinforcement Learning in Voxelised ModelsDeep reinforcement learning methods → RL for autonomous driving and traffic
  14. FIFO-Diffusion: Generating Infinite Videos from Text without TrainingDiffusion models → Video generation
  15. Measuring Impacts of Poisoning on Model Parameters and Embeddings for Large Language Models of CodeLLM safety and security → Backdoor and data poisoning attacks
  16. Deep Dive into Model-free Reinforcement Learning for Biological and Robotic Systems: Theory and PracticeDeep reinforcement learning methods → RL for robot locomotion and manipulation
  17. NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional MambaState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  18. Cross-Domain Knowledge Distillation for Low-Resolution Human Pose EstimationKnowledge distillation → Detection and dense prediction distillation
  19. A Model Consistency-Based Countermeasure to GAN-Based Data Poisoning Attack in Federated LearningLLM safety and security → Federated unlearning and poisoning
  20. On Robust Reinforcement Learning with Lipschitz-Bounded Policy NetworksDeep reinforcement learning methods → Adversarial robustness and RL in finance
  21. Discrete-state Continuous-time Diffusion for Graph GenerationDiffusion models → Flow matching, time series and science
  22. A Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs
  23. Hebrew letters Detection and Cuneiform tablets Classification by using the yolov8 computer vision model
  24. DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks
  25. Explainable Human-AI Interaction: A Planning Perspective
  26. Large Language Models Can Infer Personality from Free-Form User Interactions
  27. Towards Contactless Elevators with TinyML using CNN-based Person Detection and Keyword Spotting
  28. SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations
  29. Human-Generative AI Collaborative Problem Solving Who Leads and How Students Perceive the Interactions
  30. A Method on Searching Better Activation Functions
  31. Your Transformer is Secretly Linear
  32. Focus on Low-Resolution Information: Multi-Granular Information-Lossless Model for Low-Resolution Human Pose Estimation
  33. Approximation and Gradient Descent Training with Neural Networks
  34. InterAct: Capture and Modelling of Realistic, Expressive and Interactive Activities between Two Persons in Daily Scenarios
  35. ColorFoil: Investigating Color Blindness in Large Vision and Language Models
  36. Learning Regularities from Data using Spiking Functions: A Theory
  37. Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation
  38. FADet: A Multi-sensor 3D Object Detection Network based on Local Featured Attention
  39. Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries
  40. Deep Ensemble Art Style Recognition
  41. Review of Interpretable Machine Learning Models for Disease Prognosis
  42. Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Study
  43. The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication
  44. Auto-Platoon : Freight by example
  45. On the Expressivity of Recurrent Neural Cascades with Identity
  46. URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images
  47. Track Anything Rapter(TAR)
  48. Movie Revenue Prediction using Machine Learning Models
  49. Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
  50. Zero-Shot Stance Detection using Contextual Data Generation with LLMs
  51. Geometry-Aware Instrumental Variable Regression
  52. Continuous Predictive Modeling of Clinical Notes and ICD Codes in Patient Health Records
  53. Computer Vision in the Food Industry: Accurate, Real-time, and Automatic Food Recognition with Pretrained MobileNetV2
  54. Novel Interpretable and Robust Web-based AI Platform for Phishing Email Detection
  55. Transcriptomics-guided Slide Representation Learning in Computational Pathology
  56. Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention
  57. Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts
  58. Sociotechnical Implications of Generative Artificial Intelligence for Information Access
  59. How to integrate cloud service, data analytic and machine learning technique to reduce cyber risks associated with the modern cloud based infrastructure
  60. AI-Assisted Diagnosis for Covid-19 CXR Screening: From Data Collection to Clinical Validation
  61. Language Reconstruction with Brain Predictive Coding from fMRI Data
  62. Generative Students: Using LLM-Simulated Student Profiles to Support Question Item Evaluation
  63. Retraction-Free Decentralized Non-convex Optimization with Orthogonal Constraints
  64. SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization
  65. Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework
  66. Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications
  67. A Multi-Perspective Analysis of Memorization in Large Language Models
  68. SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks
  69. Reproducibility Study of CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
  70. Quantile Activation: Correcting a Failure Mode of ML Models
  71. Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models
  72. CRF360D: Monocular 360 Depth Estimation via Spherical Fully-Connected CRFs
  73. DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning
  74. An Invisible Backdoor Attack Based On Semantic Feature
  75. Adaptive Online Experimental Design for Causal Discovery
  76. Certified Robust Accuracy of Neural Networks Are Bounded due to Bayes Errors
  77. VR-GPT: Visual Language Model for Intelligent Virtual Reality Applications
  78. RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud
  79. Hierarchical Selective Classification
  80. Knowledge Graph Pruning for Recommendation
  81. Register assisted aggregation for Visual Place Recognition
  82. Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
  83. Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification
  84. MSNER: A Multilingual Speech Dataset for Named Entity Recognition
  85. Online Action Representation using Change Detection and Symbolic Programming
  86. Machine Learning & Wi-Fi: Unveiling the Path Towards AI/ML-Native IEEE 802.11 Networks
  87. DogFLW: Dog Facial Landmarks in the Wild Dataset
  88. Interpreting a Semantic Segmentation Model for Coastline Detection
  89. The Effectiveness of Edge Detection Evaluation Metrics for Automated Coastline Detection
  90. DEMO: A Statistical Perspective for Efficient Image-Text Matching
  91. Automated Coastline Extraction Using Edge Detection Algorithms
  92. Point Cloud Compression with Implicit Neural Representations: A Unified Framework
  93. BOSC: A Backdoor-based Framework for Open Set Synthetic Image Attribution
  94. "Previously on ..." From Recaps to Story Summarization
  95. MICap: A Unified Model for Identity-aware Movie Descriptions
  96. Physics-aware Hand-object Interaction Denoising
  97. Unsupervised Image Prior via Prompt Learning and CLIP Semantic Guidance for Low-Light Image Enhancement
  98. Analyze Additive and Interaction Effects via Collaborative Trees
  99. NubbleDrop: A Simple Way to Improve Matching Strategy for Prompted One-Shot Segmentation
  100. VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting
All 120
  1. Emphasizing Crucial Features for Efficient Image Restoration
  2. AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation
  3. Effective In-Context Example Selection through Data Compression
  4. Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
  5. DocReLM: Mastering Document Retrieval with Language Model
  6. Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals
  7. CPS-LLM: Large Language Model based Safe Usage Plan Generator for Human-in-the-Loop Human-in-the-Plant Cyber-Physical System
  8. Gradient Testing and Estimation by Comparisons
  9. Error Analysis of Three-Layer Neural Network Trained with PGD for Deep Ritz Method
  10. MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning
  11. Unifying 3D Vision-Language Understanding via Promptable Queries
  12. EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations
  13. The First Swahili Language Scene Text Detection and Recognition Dataset
  14. Review of deep learning models for crypto price prediction: implementation and evaluation
  15. MHPP: Exploring the Capabilities and Limitations of Language Models Beyond Basic Code Generation
  16. Quantum Neural Networks for Solving Power System Transient Simulation Problem
  17. Metric Dimension and Resolvability of Jaccard Spaces
  18. Large Language Models are Biased Reinforcement Learners
  19. Assessing Group Fairness with Social Welfare Optimization
  20. Budgeted Recommendation with Delayed Feedback