mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 29 Dec 2023

104 papers

  1. Generalization properties of contrastive world modelsWorld models → Latent predictive world models
  2. FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video SynthesisDiffusion models → Video generation
  3. Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion ModelsDiffusion models → Flow matching, time series and science
  4. Jatmo: Prompt Injection Defense by Task-Specific FinetuningLLM safety and security → Prompt injection and agent security
  5. Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
  6. Visual Point Cloud Forecasting enables Scalable Autonomous DrivingWorld models → World models for autonomous driving
  7. The Tyranny of Possibilities in the Design of Task-Oriented LLM Systems: A Scoping SurveyLLM agents and tool use → General LLM agent frameworks and benchmarks
  8. Olapa-MCoT: Enhancing the Chinese Mathematical Reasoning Capability of LLMsLLM reasoning → Mathematical reasoning
  9. Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension PerceptionLLM reasoning → Mathematical reasoning
  10. Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon GameLLM agents and tool use → General LLM agent frameworks and benchmarks
  11. Catch Me If You Can Describe Me: Open-Vocabulary Camouflaged Instance Segmentation with DiffusionDiffusion models → Medical imaging and segmentation
  12. HiBid: A Cross-Channel Constrained Bidding System with Budget Allocation by Hierarchical Offline Deep Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
  13. Culturally-Attuned Moral Machines: Implicit Learning of Human Value Systems by AI through Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
  14. FerKD: Surgical Label Adaptation for Efficient DistillationKnowledge distillation → General knowledge distillation methods
  15. Tracking with Human-Intent ReasoningLLM reasoning → Multimodal reasoning
  16. ClST: A Convolutional Transformer Framework for Automatic Modulation Recognition by Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  17. State Machine of Thoughts: Leveraging Past Reasoning Trajectories for Enhancing Problem SolvingLLM reasoning → Test-time compute and efficient thinking +1
  18. Holonic Learning: A Flexible Agent-based Distributed Machine Learning Framework
  19. ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness
  20. ANALYTiC: Understanding Decision Boundaries and Dimensionality Reduction in Machine Learning
  21. Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement
  22. Efficacy of Utilizing Large Language Models to Detect Public Threat Posted Online
  23. Boosting Defect Detection in Manufacturing using Tensor Convolutional Neural Networks
  24. Tensor Networks for Explainable Machine Learning in Cybersecurity
  25. Automatic Essay Scoring in a Brazilian Scenario
  26. Generating Enhanced Negatives for Training Language-Based Object Detectors
  27. Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System
  28. Quantifying Policy Administration Cost in an Active Learning Framework
  29. Synthetic Data Applications in Finance
  30. A Large-Scale Re-identification Analysis in Sporting Scenarios: the Betrayal of Reaching a Critical Point
  31. Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification
  32. Machine-learned models for magnetic materials
  33. Particle-Based Shape Modeling for Arbitrary Regions-of-Interest
  34. Accelerating Process Development for 3D Printing of New Metal Alloys
  35. Semantic Computing for Organizational Effectiveness: From Organization Theory to Practice through Semantics-Based Modelling
  36. Online Algorithmic Recourse by Collective Action
  37. ChatEd: A Chatbot Leveraging ChatGPT for an Enhanced Learning Experience in Higher Education
  38. Messenger RNA Design via Expected Partition Function and Continuous Optimization
  39. Discrete Distribution Networks
  40. Learning About Structural Errors in Models of Complex Dynamical Systems
  41. Hybrid Modeling Design Patterns
  42. Self-supervised Pretraining for Decision Foundation Model: Formulation, Pipeline and Challenges
  43. 6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation
  44. An Empirical Study of Scaling Law for OCR
  45. Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring
  46. Principled Gradient-based Markov Chain Monte Carlo for Text Generation
  47. TuPy-E: detecting hate speech in Brazilian Portuguese social media with a novel dataset and comprehensive analysis of models
  48. Multiscale Vision Transformers meet Bipartite Matching for efficient single-stage Action Localization
  49. Malware Detection in IOT Systems Using Machine Learning Techniques
  50. The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
  51. AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning
  52. User Strategization and Trustworthy Algorithms
  53. Shape-IoU: More Accurate Metric considering Bounding Box Shape and Scale
  54. Normalization of Lithuanian Text Using Regular Expressions
  55. Solar Radiation Prediction in the UTEQ based on Machine Learning Models
  56. Bridging Modality Gap for Visual Grounding with Effecitve Cross-modal Distillation
  57. Research on the Laws of Multimodal Perception and Cognition from a Cross-cultural Perspective -- Taking Overseas Chinese Gardens as an Example
  58. Motion State: A New Benchmark Multiple Object Tracking
  59. Decision-focused predictions via pessimistic bilevel optimization: complexity and algorithms
  60. XAI for In-hospital Mortality Prediction via Multimodal ICU Data
  61. Large Language Models for Generative Information Extraction: A Survey
  62. One-Shot Multi-Rate Pruning of Graph Convolutional Networks
  63. Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons
  64. P2M2-Net: Part-Aware Prompt-Guided Multimodal Point Cloud Completion
  65. Adaptive Control Strategy for Quadruped Robots in Actuator Degradation Scenarios
  66. Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints
  67. Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training
  68. A Tool for the Procedural Generation of Shaders using Interactive Evolutionary Algorithms
  69. Interpretable and Explainable Machine Learning Methods for Predictive Process Monitoring: A Systematic Literature Review
  70. Action-Item-Driven Summarization of Long Meeting Transcripts
  71. Distribution-based Low-rank Embedding
  72. Informative Rays Selection for Few-Shot Neural Radiance Fields
  73. A Fully Automated Pipeline Using Swin Transformers for Deep Learning-Based Blood Segmentation on Head CT Scans After Aneurysmal Subarachnoid Hemorrhage
  74. Building Efficient Universal Classifiers with Natural Language Inference
  75. Distance Guided Generative Adversarial Network for Explainable Binary Classifications
  76. RS-DGC: Exploring Neighborhood Statistics for Dynamic Gradient Compression on Remote Sensing Image Interpretation
  77. Noise-free Optimization in Early Training Steps for Image Super-Resolution
  78. Design Space Exploration of Approximate Computing Techniques with a Reinforcement Learning Approach
  79. Overview of the PromptCBLUE Shared Task in CHIP2023
  80. Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecasting
  81. Attention-based Interactive Disentangling Network for Instance-level Emotional Voice Conversion
  82. A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
  83. Integrating Chemical Language and Molecular Graph in Multimodal Fused Deep Learning for Drug Property Prediction
  84. QGFace: Quality-Guided Joint Training For Mixed-Quality Face Recognition
  85. Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning
  86. HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping
  87. Operator learning for hyperbolic partial differential equations
  88. Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning
  89. MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining
  90. Exploring the Sensitivity of LLMs' Decision-Making Capabilities: Insights from Prompt Variation and Hyperparameters
  91. EHR Interaction Between Patients and AI: NoteAid EHR Interaction
  92. Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
  93. FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated Transfer Learning
  94. Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems
  95. Video Understanding with Large Language Models: A Survey
  96. MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World
  97. LEFL: Low Entropy Client Sampling in Federated Learning
  98. Commonsense for Zero-Shot Natural Language Video Localization
  99. ChangeNet: Multi-Temporal Asymmetric Change Detection Dataset
  100. ALF: Adaptive Label Finetuning for Scene Graph Generation
All 104
  1. Exact Consistency Tests for Gaussian Mixture Filters using Normalized Deviation Squared Statistics
  2. Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation
  3. Comparing roughness maps generated by five roughness descriptors for LiDAR-derived digital elevation models
  4. Parameter Optimization with Conscious Allocation (POCA)