mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 23 Dec 2023

104 papers

  1. Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model TrainingDiffusion models → Image generation, text-to-image and editing
  2. Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-ThoughtLLM reasoning → Reasoning benchmarks and evaluation
  3. Prompt-Propose-Verify: A Reliable Hand-Object-Interaction Data Generation Framework using Foundational ModelsDiffusion models → Diffusion and flow policies for robotics
  4. CaLDiff: Camera Localization in NeRF via Pose DiffusionDiffusion models → 3D, point cloud and scene generation
  5. Measuring Value AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  6. Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to SystemsEfficient LLM inference and serving → Serving systems and request scheduling
  7. PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMsLLM reasoning → Test-time compute and efficient thinking
  8. Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying ItLLM safety and security → Backdoor and data poisoning attacks
  9. LLM-Powered Hierarchical Language Agent for Real-time Human-AI CoordinationLLM agents and tool use → General LLM agent frameworks and benchmarks
  10. Do LLM Agents Exhibit Social Behavior?LLM agents and tool use → Social simulation and multi-agent debate
  11. PokeMQA: Programmable knowledge editing for Multi-hop Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
  12. Pre-trained Trojan Attacks for Visual RecognitionLLM safety and security → Backdoor and data poisoning attacks
  13. Automatic Tooth Arrangement with Joint Features of Point and Mesh Representations via Diffusion Probabilistic ModelsDiffusion models → Medical imaging and segmentation
  14. Scaling Is All You Need: Autonomous Driving with JAX-Accelerated Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving
  15. Beyond the Frame: Single and mutilple video summarization method with user-defined length
  16. Hybrid-Task Meta-Learning: A GNN Approach for Scalable and Transferable Bandwidth Allocation
  17. Parametric Constraints for Bayesian Knowledge Tracing from First Principles
  18. Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach
  19. Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching
  20. Semantic Draw Engineering for Text-to-Image Creation
  21. Distributional Reinforcement Learning-based Energy Arbitrage Strategies in Imbalance Settlement Mechanism
  22. On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications
  23. An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development
  24. User Consented Federated Recommender System Against Personalized Attribute Inference Attack
  25. Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection
  26. Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns
  27. INFAMOUS-NeRF: ImproviNg FAce MOdeling Using Semantically-Aligned Hypernetworks with Neural Radiance Fields
  28. WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments
  29. BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation
  30. Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading
  31. TVE: Learning Meta-attribution for Transferable Vision Explainer
  32. Optimal Decision Tree and Adaptive Submodular Ranking with Noisy Outcomes
  33. Short-lived High-volume Multi-A(rmed)/B(andits) Testing
  34. Scout-Net: Prospective Personalized Estimation of CT Organ Doses from Scout Views
  35. Representing Outcome-driven Higher-order Dependencies in Graphs of Disease Trajectories
  36. Statistical inverse learning problems with random observations
  37. Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems
  38. MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning
  39. Towards a Microservice-based Middleware for a Multi-hazard Early Warning System
  40. Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization
  41. Greedy Grammar Induction with Indirect Negative Evidence
  42. GestaltMML: Enhancing Rare Genetic Disease Diagnosis through Multimodal Machine Learning Combining Facial Images and Clinical Text
  43. Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue
  44. Human-Centric Resource Allocation for the Metaverse With Multiaccess Edge Computing
  45. Pixel-Level Change Detection Pseudo-Label Learning for Remote Sensing Change Captioning
  46. Towards Generalization in Subitizing with Neuro-Symbolic Loss using Holographic Reduced Representations
  47. Mitigating Algorithmic Bias on Facial Expression Recognition
  48. Reconstructing High-Dimensional Datasets From Their Bivariate Projections
  49. Exploring the Capabilities of ChatGPT in Ancient Chinese Translation and Person Name Recognition
  50. Q-Boost: On Visual Quality Assessment Ability of Low-level Multi-Modality Foundation Models
  51. Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
  52. AdamL: A fast adaptive gradient method incorporating loss function
  53. Fr'echet Wavelet Distance: A Domain-Agnostic Metric for Image Generation
  54. Understanding normalization in contrastive representation learning and out-of-distribution detection
  55. Markdown Pricing Under an Unknown Parametric Demand Model
  56. Causal Forecasting for Pricing
  57. Benefit from public unlabeled data: A Frangi filtering-based pretraining network for 3D cerebrovascular segmentation
  58. Detecting anxiety from short clips of free-form speech
  59. SSFlowNet: Semi-supervised Scene Flow Estimation On Point Clouds With Pseudo Label
  60. Manydepth2: Motion-Aware Self-Supervised Monocular Depth Estimation in Dynamic Scenes
  61. Self-Supervised Depth Completion Guided by 3D Perception and Geometry Consistency
  62. Surveying the ice condensation period at southern polar Mars using a CNN
  63. Human101: Training 100+FPS Human Gaussians in 100s from 1 View
  64. Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane
  65. DTIAM: A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms
  66. A Theory of Non-Acyclic Generative Flow Networks
  67. NoPose-NeuS: Jointly Optimizing Camera Poses with Neural Implicit Surfaces for Multi-view Reconstruction
  68. Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network
  69. Classifying Soccer Ball-on-Goal Position Through Kicker Shooting Action
  70. Sample selection with noise rate estimation in noise learning of medical image analysis
  71. Regularized PolyKervNets: Optimizing Expressiveness and Efficiency for Private Inference in Deep Neural Networks
  72. Statistical Inference with Limited Memory: A Survey
  73. Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery
  74. Generalized Neural Networks for Real-Time Earthquake Early Warning
  75. DexDLO: Learning Goal-Conditioned Dexterous Policy for Dynamic Manipulation of Deformable Linear Objects
  76. Revealing Shadows: Low-Light Image Enhancement Using Self-Calibrated Illumination
  77. TransFace: Unit-Based Audio-Visual Speech Synthesizer for Talking Head Translation
  78. Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling
  79. Personalized Federated Learning with Contextual Modulation and Meta-Learning
  80. SAIC: Integration of Speech Anonymization and Identity Classification
  81. IRG: Modular Synthetic Relational Database Generation with Complex Relational Schemas
  82. Efficient Asynchronous Federated Learning with Sparsification and Quantization
  83. emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
  84. ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-order Optimization
  85. Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation
  86. Multilingual Bias Detection and Mitigation for Indian Languages
  87. SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
  88. Reinforcement Learning for Safe Occupancy Strategies in Educational Spaces during an Epidemic
  89. Cycle-Consistency Learning for Captioning and Grounding
  90. Networks of Classical Conditioning Gates and Their Learning
  91. Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning
  92. Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference
  93. CodeScholar: Growing Idiomatic Code Examples
  94. Large Language Models as Zero-Shot Keyphrase Extractors: A Preliminary Empirical Study
  95. Data Classification With Multiprocessing
  96. Personalized Federated Learning with Attention-based Client Selection
  97. A Generically Contrastive Spatiotemporal Representation Enhancement for 3D Skeleton Action Recognition
  98. Improving the Performance of Echo State Networks Through State Feedback
  99. An FPGA-Based Accelerator for Graph Embedding using Sequential Training Algorithm
  100. Towards End-to-End Structure Solutions from Information-Compromised Diffraction Data via Generative Deep Learning
All 104
  1. Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling
  2. PACE: A Large-Scale Dataset with Pose Annotations in Cluttered Environments
  3. Gradient Shaping for Multi-Constraint Safe Reinforcement Learning
  4. On fundamental aspects of quantum extreme learning machines