mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 23 Jan 2024

219 papers

  1. RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable GuaranteesLLM safety and security → Watermarking generated content and models
  2. ARGS: Alignment as Reward-Guided SearchLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  3. Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  4. Stable and Safe Human-aligned Reinforcement Learning through Neural Ordinary Differential EquationsDeep reinforcement learning methods → Safe and constrained RL
  5. The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual ContextsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  6. Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of CapabilitiesDeep reinforcement learning methods → RL for games and combinatorial optimization
  7. Contractive Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
  8. Locality Sensitive Sparse Encoding for Learning World Models OnlineWorld models → Latent dynamics models and model-based RL +1
  9. A Safe Reinforcement Learning Algorithm for Supervisory Control of Power PlantsDeep reinforcement learning methods → RL for energy, networks and operations
  10. CCA: Collaborative Competitive Agents for Image EditingLLM agents and tool use → Multimodal and embodied agents
  11. Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion ModelsDiffusion models → Video generation
  12. AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic AgentsLLM agents and tool use → Multimodal and embodied agents
  13. Lumiere: A Space-Time Diffusion Model for Video GenerationDiffusion models → Video generation
  14. Reward-Relevance-Filtered Linear Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  15. Active Inference as a Model of AgencyWorld models → World models for language agents
  16. Red Teaming Visual Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  17. Emergent Communication Protocol Learning for Task Offloading in Industrial Internet of ThingsDeep reinforcement learning methods → RL for energy, networks and operations
  18. Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop TechnologiesEnd-to-end autonomous driving → End-to-end system architecture
  19. Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward ModelLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  20. KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts ReasoningLLM reasoning → Multimodal reasoning
  21. Learning safety critics via a non-contractive binary bellman operatorDeep reinforcement learning methods → Safe and constrained RL
  22. Deep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning AlgorithmsDeep reinforcement learning methods → RL for energy, networks and operations
  23. Dynamic Layer Tying for Parameter-Efficient TransformersDeep reinforcement learning methods → Deep RL algorithms and representations
  24. Knowledge Distillation from Language-Oriented to Emergent Communication for Multi-Agent Remote ControlLLM agents and tool use → General LLM agent frameworks and benchmarks +1
  25. Revolutionizing Retrieval-Augmented Generation with Enhanced PDF Structure RecognitionRetrieval-augmented generation → RAG robustness and adaptive retrieval
  26. ToDA: Target-oriented Diffusion Attacker against Recommendation SystemDiffusion models → Diffusion recommenders
  27. DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural RepresentationsDiffusion models → Diffusion foundations and sampling
  28. On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward OptimizationDeep reinforcement learning methods → RL theory and sample complexity
  29. Small Language Model Meets with Reinforced Vision VocabularyMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  30. Building Minimal and Reusable Causal State Abstractions for Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  31. Reinforcement Learning for Graph Coloring: Understanding the Power and Limits of Non-Label Invariant RepresentationsDeep reinforcement learning methods → RL for games and combinatorial optimization
  32. Towards Socially and Morally Aware RL agent: Reward Design With LLMLLM agents and tool use → Reinforcement learning for LLM agents +1
  33. A Novel Garment Transfer Method Supervised by Distilled Knowledge of Virtual Try-on ModelKnowledge distillation → General knowledge distillation methods
  34. The Neglected Tails in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  35. Towards Improved Variational Inference for Deep Bayesian ModelsDeep reinforcement learning methods → RL theory and sample complexity
  36. Faster Projected GAN: Towards Faster Few-Shot Image Generation
  37. Considering Fundamental Rights in the European Standardisation of Artificial Intelligence: Nonsense or Strategic Alliance?
  38. Investigating the Generalizability of Physiological Characteristics of Anxiety
  39. Graph Koopman Autoencoder for Predictive Covert Communication Against UAV Surveillance
  40. Learning from the Best: Active Learning for Wireless Communications
  41. Quality of Answers of Generative Large Language Models vs Peer Patients for Interpreting Lab Test Results for Lay Patients: Evaluation Study
  42. Maximizing Data Efficiency for Cross-Lingual TTS Adaptation by Self-Supervised Representation Mixing and Embedding Initialization
  43. Investigating Algorithm Review Boards for Organizational Responsible Artificial Intelligence Governance
  44. Linguistic-Based Mild Cognitive Impairment Detection Using Informative Loss
  45. Multi-Agent Based Transfer Learning for Data-Driven Air Traffic Applications
  46. Accelerating hyperbolic t-SNE
  47. Deep Spatiotemporal Clutter Filtering of Transthoracic Echocardiographic Images: Leveraging Contextual Attention and Residual Learning
  48. Locality enhanced dynamic biasing and sampling strategies for contextual ASR
  49. Dual-Domain Coarse-to-Fine Progressive Estimation Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT
  50. Visibility into AI Agents
  51. Analyzing COVID-19 Vaccination Sentiments in Nigerian Cyberspace: Insights from a Manually Annotated Twitter Dataset
  52. Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains
  53. Distributional Counterfactual Explanations With Optimal Transport
  54. XAI for All: Can Large Language Models Simplify Explainable AI?
  55. Sparse identification of nonlinear dynamics in the presence of library and system uncertainty
  56. Enhancing Global Maritime Traffic Network Forecasting with Gravity-Inspired Deep Learning Models
  57. Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems
  58. Probabilistic Demand Forecasting with Graph Neural Networks
  59. Open-source data pipeline for street-view images: a case study on community mobility during COVID-19 pandemic
  60. Towards Trustable Language Models: Investigating Information Quality of Large Language Models
  61. IndiText Boost: Text Augmentation for Low Resource India Languages
  62. PlaceFormer: Transformer-based Visual Place Recognition using Multi-Scale Patch Selection and Fusion
  63. Free Form Medical Visual Question Answering in Radiology
  64. SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization
  65. Local Background Estimation for Improved Gas Plume Identification in Hyperspectral Images
  66. TCE at Qur'an QA 2023 Shared Task: Low Resource Enhanced Transformer-based Ensemble Approach for Qur'anic QA
  67. Frustrated Random Walks: A Fast Method to Compute Node Distances on Hypergraphs
  68. PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation
  69. CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-Attention
  70. Assessment of Sports Concussion in Female Athletes: A Role for Neuroinformatics?
  71. Comparative Study of Causal Discovery Methods for Cyclic Models with Hidden Confounders
  72. CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data
  73. GALA: Generating Animatable Layered Assets from a Single Scan
  74. IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images
  75. HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments
  76. SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
  77. In-Context Language Learning: Architectures and Algorithms
  78. On the Efficacy of Text-Based Input Modalities for Action Anticipation
  79. Raidar: geneRative AI Detection viA Rewriting
  80. Eloquent: A More Robust Transmission Scheme for LLM Token Streaming
  81. Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
  82. Bayesian Semi-structured Subspace Inference
  83. Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion
  84. Coverage Axis++: Efficient Inner Point Selection for 3D Shape Skeletonization
  85. Multicultural Name Recognition For Previously Unseen Names
  86. Neural deformation fields for template-based reconstruction of cortical surfaces from MRI
  87. Segmentation of tibiofemoral joint tissues from knee MRI using MtRA-Unet and incorporating shape information: Data from the Osteoarthritis Initiative
  88. pyAKI -- An Open Source Solution to Automated KDIGO classification
  89. DsDm: Model-Aware Dataset Selection with Datamodels
  90. Performance Analysis of Support Vector Machine (SVM) on Challenging Datasets for Forest Fire Detection
  91. Deep multitask neural networks for solving some stochastic optimal control problems
  92. Truck Parking Usage Prediction with Decomposed Graph Neural Networks
  93. Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning?
  94. PSAvatar: A Point-based Shape Model for Real-Time Head Avatar Animation with 3D Gaussian Splatting
  95. Model-Free δ-Policy Iteration Based on Damped Newton Method for Nonlinear Continuous-Time H∞ Tracking Control
  96. From Understanding to Utilization: A Survey on Explainability for Large Language Models
  97. Unlocking the Potential: Multi-task Deep Learning for Spaceborne Quantitative Monitoring of Fugitive Methane Plumes
  98. TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks
  99. Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile Crowdsourcing
  100. FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
All 219
  1. Classification of grapevine varieties using UAV hyperspectral imaging
  2. End-to-End Supervised Hierarchical Graph Clustering for Speaker Diarization
  3. How well can a large language model explain business processes as perceived by users?
  4. An embedding-based distance for temporal graphs
  5. Iterated Relevance Matrix Analysis (IRMA) for the identification of class-discriminative subspaces
  6. SGTR+: End-to-end Scene Graph Generation with Transformer
  7. Enhancing Next Destination Prediction: A Novel Long Short-Term Memory Neural Network Approach Using Real-World Airline Data
  8. MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
  9. DatUS^2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer
  10. Binary structured physics-informed neural networks for solving equations with rapidly changing solutions
  11. Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment Decoding
  12. Benchmarking LLMs via Uncertainty Quantification
  13. MORPH: Towards Automated Concept Drift Adaptation for Malware Detection
  14. Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study
  15. A Scoping Review of Deep Learning Methods for Photoplethysmography Data
  16. DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing
  17. Deep Learning-based Intraoperative MRI Reconstruction
  18. Fast Nonlinear Two-Time-Scale Stochastic Approximation: Achieving O(1/k) Finite-Sample Complexity
  19. MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty
  20. What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition
  21. PSDF: Prior-Driven Neural Implicit Surface Learning for Multi-view Reconstruction
  22. On the Utility of Probing Trajectories for Algorithm-Selection
  23. Correlation-Embedded Transformer Tracking: A Single-Branch Framework
  24. ShiftwiseConv: Small Convolutional Kernel with Large Kernel Effect
  25. TNANet: A Temporal-Noise-Aware Neural Network for Suicidal Ideation Prediction with Noisy Physiological Data
  26. The Distributional Uncertainty of the SHAP score in Explainable Machine Learning
  27. Enhancing Object Detection Performance for Small Objects through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios
  28. Two-View Topogram-Based Anatomy-Guided CT Reconstruction for Prospective Risk Minimization
  29. Falcon: Fair Active Learning using Multi-armed Bandits
  30. A Comprehensive View of the Biases of Toxicity and Sentiment Analysis Methods Towards Utterances with African American English Expressions
  31. Gas trap prediction from 3D seismic and well test data using machine learning
  32. Evaluation of large language models for assessing code maintainability
  33. Generating Zero-shot Abstractive Explanations for Rumour Verification
  34. When Redundancy Matters: Machine Teaching of Representations
  35. Deep Neural Network Benchmarks for Selective Classification
  36. Securing Recommender System via Cooperative Training
  37. Pragmatic Communication in Multi-Agent Collaborative Perception
  38. Energy-based Automated Model Evaluation
  39. DVL Calibration using Data-driven Methods
  40. Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach
  41. LLpowershap: Logistic Loss-based Automated Shapley Values Feature Selection Method
  42. Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning
  43. ChatGraph: Chat with Your Graphs
  44. Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context
  45. Feature Selection via Robust Weighted Score for High Dimensional Binary Class-Imbalanced Gene Expression Data
  46. EL-VIT: Probing Vision Transformer with Interactive Visualization
  47. ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
  48. Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement
  49. Consistency Enhancement-Based Deep Multiview Clustering via Contrastive Learning
  50. Emergent Cooperation under Uncertain Incentive Alignment
  51. On the Robustness of Deep Learning-aided Symbol Detectors to Varying Conditions and Imperfect Channel Knowledge
  52. Binary Feature Mask Optimization for Feature Selection
  53. Modeling Resilience of Collaborative AI Systems
  54. A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments
  55. Full-Stack Optimization for CAM-Only DNN Inference
  56. Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs
  57. The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting -- An Analytical Model
  58. Prompt Smells: An Omen for Undesirable Generative AI Outputs
  59. The twin peaks of learning neural networks
  60. Fast Semisupervised Unmixing Using Nonconvex Optimization
  61. UniHDA: A Unified and Versatile Framework for Multi-Modal Hybrid Domain Adaptation
  62. MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels
  63. RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos
  64. Interpreting Equivariant Representations
  65. An Efficient Implicit Neural Representation Image Codec Based on Mixed Autoregressive Model for Low-Complexity Decoding
  66. SLANG: New Concept Comprehension of Large Language Models
  67. LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations
  68. DiffMoog: a Differentiable Modular Synthesizer for Sound Matching
  69. NeRF-AD: Neural Radiance Field with Attention-based Disentanglement for Talking Face Synthesis
  70. Automated Fact-Checking of Climate Change Claims with Large Language Models
  71. Graph Contrastive Invariant Learning from the Causal Perspective
  72. EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction
  73. Balancing the AI Strength of Roles in Self-Play Training with Regret Matching+
  74. Can Large Language Models Write Parallel Code?
  75. UR4NNV: Neural Network Verification, Under-approximation Reachability Works!
  76. On Building Myopic MPC Policies using Supervised Learning
  77. DREditor: An Time-efficient Approach for Building a Domain-specific Dense Retrieval Model
  78. Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels
  79. Near-Optimal Algorithms for Constrained k-Center Clustering with Instance-level Background Knowledge
  80. DAFA: Distance-Aware Fair Adversarial Training
  81. BiTA: Bi-Directional Tuning for Lossless Acceleration in Large Language Models
  82. Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements
  83. Detecting and recognizing characters in Greek papyri with YOLOv8, DeiT and SimCLR
  84. Convolutional Initialization for Data-Efficient Vision Transformers
  85. Digital cloning of online social networks for language-sensitive agent-based modeling of misinformation spread
  86. Open-Set Facial Expression Recognition
  87. DexTouch: Learning to Seek and Manipulate Objects with Tactile Dexterity
  88. Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?
  89. Assessing and Understanding Creativity in Large Language Models
  90. Unsupervised Learning Method for the Wave Equation Based on Finite Difference Residual Constraints Loss
  91. An Automated Real-Time Approach for Image Processing and Segmentation of Fluoroscopic Images and Videos Using a Single Deep Learning Network
  92. Adiabatic Quantum Support Vector Machines
  93. Nonparametric logistic regression with deep learning
  94. IDPro: Flexible Interactive Video Object Segmentation by ID-queried Concurrent Propagation
  95. TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation
  96. Mini-batch Submodular Maximization
  97. Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling
  98. Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
  99. Contrastive Learning in Distilled Models
  100. Training-Free Action Recognition and Goal Inference with Dynamic Frame Selection
  101. An open dataset for the evolution of oracle bone characters: EVOBC
  102. Fast Adversarial Training against Textual Adversarial Attacks
  103. Exploration and Improvement of Nerf-based 3D Scene Editing Techniques
  104. Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management
  105. Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
  106. Methods and strategies for improving the novel view synthesis quality of neural radiation field
  107. NIV-SSD: Neighbor IoU-Voting Single-Stage Object Detector From Point Cloud
  108. Post-Training Embedding Alignment for Decoupling Enrollment and Runtime Speaker Recognition Models
  109. MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer
  110. Secure Federated Learning Approaches to Diagnosing COVID-19
  111. Wasserstein Differential Privacy
  112. Quantitative Analysis of Molecular Transport in the Extracellular Space Using Physics-Informed Neural Network
  113. CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators
  114. DALex: Lexicase-like Selection via Diverse Aggregation
  115. InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy Prediction
  116. AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space
  117. Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews)
  118. Enhancing Reliability of Neural Networks at the Edge: Inverted Normalization with Stochastic Affine Transformations
  119. Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling Autonomy