mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 1 Jan 2024

101 papers

  1. Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIPLLM safety and security → Backdoor and data poisoning attacks
  2. DiffAugment: Diffusion based Long-Tailed Visual Relationship RecognitionDiffusion models → Image generation, text-to-image and editing
  3. GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation, Demonstration, and ImitationOffline RL and imitation learning from data → Robot manipulation imitation learning
  4. Data Assimilation in Chaotic Systems Using Deep Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  5. COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-TrainingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  6. Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science EducationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  7. If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  8. LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  9. Geometric Structure and Polynomial-time Algorithm of Game EquilibriaDeep reinforcement learning methods → RL for games and combinatorial optimization
  10. ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world ScenariosLLM agents and tool use → Tool learning and function calling
  11. DiffMorph: Text-less Image Morphing with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  12. Diffusion Models, Image Super-Resolution And Everything: A SurveyDiffusion models → Inverse problems and image restoration
  13. Personalized Dynamic Pricing Policy for Electric Vehicles: Reinforcement learning approachDeep reinforcement learning methods → RL for energy, networks and operations
  14. Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  15. Federated Class-Incremental Learning with New-Class Augmented Self-DistillationKnowledge distillation → Federated, robust and private distillation
  16. GD^2-NeRF: Generative Detail Compensation via GAN and Diffusion for One-shot Generalizable Neural Radiance FieldsDiffusion models → 3D, point cloud and scene generation
  17. Diffusion MRI with Machine Learning
  18. Null Space Properties of Neural Networks with Applications to Image Steganography
  19. An Unobtrusive and Lightweight Ear-worn System for Continuous Epileptic Seizure Detection
  20. From Prompt Engineering to Prompt Science With Human in the Loop
  21. Large Language Models in Mental Health Care: a Scoping Review
  22. FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models
  23. Fine-tuning and Utilization Methods of Domain-specific LLMs
  24. Fast and Effective Weight Update for Pruned Large Language Models
  25. Directional Antenna Systems for Long-Range Through-Wall Human Activity Recognition
  26. Tissue Artifact Segmentation and Severity Analysis for Automated Diagnosis Using Whole Slide Images
  27. Strong Transitivity Relations and Graph Neural Networks
  28. Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data
  29. Exploring Multi-Modal Control in Music-Driven Dance Generation
  30. Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models
  31. Facebook Report on Privacy of fNIRS data
  32. Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patients
  33. Efficient Multi-domain Text Recognition Deep Neural Network Parameterization with Residual Adapters
  34. Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective
  35. Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity Recognition
  36. Automated Model Selection for Tabular Data
  37. Families of costs with zero and nonnegative MTW tensor in optimal transport and the c-divergences
  38. Boundary Attention: Learning curves, corners, junctions and grouping
  39. Accurate Leukocyte Detection Based on Deformable-DETR and Multi-Level Feature Fusion for Aiding Diagnosis of Blood Diseases
  40. Skeleton2vec: A Self-supervised Learning Framework with Contextualized Target Representations for Skeleton Sequence
  41. ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention
  42. Refining Pre-Trained Motion Models
  43. Mocap Everyone Everywhere: Lightweight Motion Capture With Smartwatches and a Head-Mounted Camera
  44. Deblurring 3D Gaussian Splatting
  45. Rethinking RAFT for Efficient Optical Flow
  46. Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows
  47. Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields Using Sharpness Prior
  48. Graph-Convolutional Autoencoder Ensembles for the Humanities, Illustrated with a Study of the American Slave Trade
  49. A Computational Framework for Behavioral Assessment of LLM Therapists
  50. Glimpse: Generalized Locality for Scalable and Robust CT
  51. PerSHOP -- A Persian dataset for shopping dialogue systems modeling
  52. A review on different techniques used to combat the non-IID and heterogeneous nature of data in FL
  53. Factor Importance Ranking and Selection using Total Indices
  54. SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC
  55. Retrieval-Augmented Egocentric Video Captioning
  56. Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models
  57. Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach
  58. Temporal Validity Change Prediction
  59. Edge Computing based Human-Robot Cognitive Fusion: A Medical Case Study in the Autism Spectrum Disorder Therapy
  60. Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures
  61. Exposure Bracketing Is All You Need For A High-Quality Image
  62. New Job, New Gender? Measuring the Social Bias in Image Generation Models
  63. Identifying the Achilles' Heel: An Iterative Method for Dynamically Uncovering Factual Errors in Large Language Models
  64. MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction
  65. Saliency-Aware Regularized Graph Neural Network
  66. Machine Translation Testing via Syntactic Tree Pruning
  67. Towards Harmonization of SO(3)-Equivariance and Expressiveness: a Hybrid Deep Learning Framework for Electronic-Structure Hamiltonian Prediction
  68. Beyond Subspace Isolation: Many-to-Many Transformer for Light Field Image Super-resolution
  69. Searching, fast and slow, through product catalogs
  70. NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction
  71. MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification
  72. BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation
  73. Depth Map Denoising Network and Lightweight Fusion Network for Enhanced 3D Face Recognition
  74. Graph Neural Networks in Intelligent Transportation Systems: Advances, Applications and Trends
  75. Text2Avatar: Text to 3D Human Avatar Generation with Codebook-Driven Body Controllable Attribute
  76. Revisiting Nonlocal Self-Similarity from Continuous Representation
  77. Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning
  78. An attempt to generate new bridge types from latent space of generative adversarial network
  79. Large Language Models aren't all that you need
  80. Credible Teacher for Semi-Supervised Object Detection in Open Scene
  81. Self-supervised learning for skin cancer diagnosis with limited training data
  82. Stochastic Gradient Descent for Nonparametric Additive Regression
  83. Benchmarking Large Language Models on Controllable Generation under Diversified Instructions
  84. Large language model for Bible sentiment analysis: Sermon on the Mount
  85. Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block Models
  86. Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDM
  87. A Temporal Filter to Extract Doped Conducting Polymer Information Features from an Electronic Nose
  88. General-purpose foundation models for increased autonomy in robot-assisted surgery
  89. Digger: Detecting Copyright Content Mis-usage in Large Language Model Training
  90. Metric Entropy-Free Sample Complexity Bounds for Sample Average Approximation in Convex Stochastic Programming
  91. 1st Place Solution for 5th LSVOS Challenge: Referring Video Object Segmentation
  92. Point Cloud in the Air
  93. Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems
  94. PROMPT-IML: Image Manipulation Localization with Pre-trained Foundation Models Through Prompt Tuning
  95. From Covert Hiding to Visual Editing: Robust Generative Video Steganography
  96. Predicting Anti-microbial Resistance using Large Language Models
  97. Geometry Depth Consistency in RGBD Relative Pose Estimation
  98. On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions
  99. Edge AI as a Service with Coordinated Deep Neural Networks
  100. Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models
All 101
  1. Towards Improved Proxy-based Deep Metric Learning via Data-Augmented Domain Adaptation