mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 9 Feb 2024

225 papers

  1. Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse SolversDiffusion models → Inverse problems and image restoration
  2. Towards Fair and Firm Real-Time Scheduling in DNN Multi-Tenant Multi-Accelerator Systems via Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  3. GLA-Grad: A Griffin-Lim Extended Waveform Generation Diffusion ModelDiffusion models → Audio, speech and music
  4. The Unreasonable Effectiveness of Eccentric Automatic PromptsLLM reasoning → Prompting and chain-of-thought reasoning
  5. ScreenAgent: A Vision Language Model-driven Computer Control AgentMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  6. Monitored Markov Decision ProcessesDeep reinforcement learning methods → RL theory and sample complexity
  7. Systematic Assessment of Tabular Data SynthesisSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
  8. Reasoning Grasping via Multimodal Large Language ModelLLM reasoning → Spatial and embodied reasoning +1
  9. Is it safe to cross? Interpretable Risk Assessment with GPT-4V for Safety-Aware Street CrossingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  10. Debating with More Persuasive LLMs Leads to More Truthful AnswersLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  11. Embedding Compression for Teacher-to-Student Knowledge TransferKnowledge distillation → General knowledge distillation methods
  12. Corruption Robust Offline Reinforcement Learning with Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  13. Entropy-Regularized Token-Level Policy Optimization for Language Agent ReinforcementLLM agents and tool use → Reinforcement learning for LLM agents
  14. Feedback Loops With Language Models Drive In-Context Reward HackingLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
  15. On the Out-Of-Distribution Generalization of Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  16. Understanding the Weakness of Large Language Model Agents within a Complex Android EnvironmentLLM agents and tool use → GUI and mobile agents
  17. Video Annotator: A framework for efficiently building video classifiers using vision-language models and active learningMultimodal LLMs / vision-language models → Video understanding with MLLMs
  18. Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction FollowingDiffusion models → Diffusion and flow policies for robotics +1
  19. Deceptive Path Planning via Reinforcement Learning with Graph Neural NetworksDeep reinforcement learning methods → RL for robot navigation and UAV control
  20. Bryndza at ClimateActivism 2024: Stance, Target and Hate Event Detection via Retrieval-Augmented GPT-4 and LLaMARetrieval-augmented generation → Privacy and security of RAG
  21. Introspective Planning: Aligning Robots' Uncertainty with Inherent Task AmbiguityLLM reasoning → Spatial and embodied reasoning
  22. Multimodal Clinical Trial Outcome Prediction with Large Language ModelsMixture-of-experts → Medical and biomedical MoE
  23. ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL PoliciesDeep reinforcement learning methods → Interpretable and logic-guided RL
  24. Sequential Flow Straightening for Generative ModelingDiffusion models → Diffusion foundations and sampling
  25. V-STaR: Training Verifiers for Self-Taught ReasonersLLM reasoning → Test-time compute and efficient thinking
  26. Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose EstimationDiffusion models → 3D, point cloud and scene generation
  27. Hierarchical Transformers are Efficient Meta-Reinforcement LearnersDeep reinforcement learning methods → Deep RL algorithms and representations
  28. Convergence of a L2 regularized Policy Gradient Algorithm for the Multi Armed BanditDeep reinforcement learning methods → RL theory and sample complexity
  29. FD-Vision Mamba for Endoscopic Exposure CorrectionState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  30. High-Precision Geosteering via Reinforcement Learning and Particle FiltersDeep reinforcement learning methods → RL for energy, networks and operations
  31. StruQ: Defending Against Prompt Injection with Structured QueriesLLM safety and security → Prompt injection and agent security
  32. CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language ModelsLLM agents and tool use → Web, search, and research agents
  33. InternLM-Math: Open Math Large Language Models Toward Verifiable ReasoningLLM reasoning → Mathematical reasoning
  34. Particle Denoising Diffusion SamplerDiffusion models → Diffusion foundations and sampling
  35. Dynamic Q-planning for Online UAV Path Planning in Unknown and Complex EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
  36. FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated LearningLLM safety and security → Federated unlearning and poisoning
  37. Controllable seismic velocity synthesis using generative diffusion modelsDiffusion models → Flow matching, time series and science
  38. Issues with Value-Based Multi-objective Reinforcement Learning: Value Function Interference and Overestimation SensitivityDeep reinforcement learning methods → RL for games and combinatorial optimization
  39. LLaVA-Docent: Instruction Tuning with Multimodal Large Language Model to Support Art Appreciation EducationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  40. On the Efficacy of Eviction Policy for Key-Value Constrained Generative Language Model InferenceEfficient LLM inference and serving → KV cache optimization
  41. Fight Back Against Jailbreaking via Prompt Adversarial TuningLLM safety and security → Jailbreaking
  42. MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion ModelsDiffusion models → Audio, speech and music
  43. Wasserstein proximal operators describe score-based generative models and resolve memorizationDiffusion models → Diffusion foundations and sampling
  44. POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy DecompositionDeep reinforcement learning methods → RL theory and sample complexity
  45. Reinforcement Learning for Blind Stair Climbing with Legged and Wheeled-Legged RobotsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  46. Exploring Group and Symmetry Principles in Large Language ModelsLLM reasoning → Mathematical reasoning
  47. ContPhy: Continuum Physical Concept Learning and Reasoning from VideosLLM reasoning → Spatial and embodied reasoning
  48. ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward ModelingLLM reasoning → Multimodal reasoning +2
  49. LLMs for Coding and Robotics EducationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  50. Detection of Opioid Users from Reddit Posts via an Attention-based Bidirectional Recurrent Neural Network
  51. Quantitative Analysis of AI-Generated Texts in Academic Research: A Study of AI Presence in Arxiv Submissions using AI Detection Tool
  52. Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizes
  53. Gore Diffusion LoRA Model
  54. Verif.ai: Towards an Open-Source Scientific Generative Question-Answering System with Referenced and Verifiable Answers
  55. Zero-shot Explainable Mental Health Analysis on Social Media by Incorporating Mental Scales
  56. CultureLLM: Incorporating Cultural Differences into Large Language Models
  57. A Multi-faceted Semi-Synthetic Dataset for Automated Cyberbullying Detection
  58. Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data
  59. RLEEGNet: Integrating Brain-Computer Interfaces with Adaptive AI for Intuitive Responsiveness and High-Accuracy Motor Imagery Classification
  60. If Turing played piano with an artificial partner
  61. evolSOM: an R Package for evolutionary conservation analysis with SOMs
  62. Re-Envisioning Command and Control
  63. RAMP: Boosting Adversarial Robustness Against Multiple lp Perturbations for Universal Robustness
  64. Neural Rendering based Urban Scene Reconstruction for Autonomous Driving
  65. Forecasting Events in Soccer Matches Through Language
  66. Towards a Systematic Approach to Design New Ensemble Learning Algorithms
  67. Estimating Player Performance in Different Contexts Using Fine-tuned Large Events Models
  68. A Kalman Filter Based Framework for Monitoring the Performance of In-Hospital Mortality Prediction Models Over Time
  69. Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation
  70. Evaluating Co-Creativity using Total Information Flow
  71. Domain Adaptation Using Pseudo Labels
  72. Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Prediction
  73. Event-to-Video Conversion for Overhead Object Detection
  74. Fingerprinting New York City's Scaffolding Problem with Longitudinal Dashcam Data
  75. Generative Nowcasting of Marine Fog Visibility in the Grand Banks area and Sable Island in Canada
  76. ForestColl: Throughput-Optimal Collective Communications on Heterogeneous Network Fabrics
  77. Transfer learning with generative models for object detection on limited datasets
  78. Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion over Diverse Terrains
  79. Retrosynthesis Prediction via Search in (Hyper) Graph
  80. Evaluation Metrics for Text Data Augmentation in NLP
  81. GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding
  82. Scalable Kernel Logistic Regression with Nystr"om Approximation: Theoretical Analysis and Application to Discrete Choice Modelling
  83. A Methodology for Questionnaire Analysis: Insights through Cluster Analysis of an Investor Competition Data
  84. Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion
  85. Oriented-grid Encoder for 3D Implicit Representations
  86. Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse
  87. EntGPT: Entity Linking with Generative Large Language Models
  88. ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning
  89. NICE: To Optimize In-Context Examples or Not?
  90. A Scalable Algorithm for Individually Fair K-means Clustering
  91. Dynamic Graph Information Bottleneck
  92. Learning-augmented Online Algorithm for Two-level Ski-rental Problem
  93. Electricity Price Forecasting in the Irish Balancing Market
  94. Multi-class real-time crash risk forecasting using convolutional neural network: Istanbul case study
  95. CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs
  96. Privacy Profiles for Private Selection
  97. Feed-Forward Neural Networks as a Mixed-Integer Program
  98. FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models
  99. Understanding the Effects of Iterative Prompting on Truthfulness
  100. Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning
All 225
  1. FaBERT: Pre-training BERT on Persian Blogs
  2. The Complexity of Sequential Prediction in Dynamical Systems
  3. Image-based Deep Learning for the time-dependent prediction of fresh concrete properties
  4. TIC: Translate-Infer-Compile for accurate "text to plan" using LLMs and Logical Representations
  5. RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantization
  6. CigaR: Cost-efficient Program Repair with LLMs
  7. Self-consistent context aware conformer transducer for speech recognition
  8. Predictive representations: building blocks of intelligence
  9. G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German
  10. More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentation
  11. SAE: Single Architecture Ensemble Neural Networks
  12. On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
  13. Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
  14. What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices
  15. Safe Guaranteed Exploration for Non-linear Systems
  16. The Quantified Boolean Bayesian Network: Theory and Experiments with a Logical Graphical Model
  17. Calibrating Long-form Generations from Large Language Models
  18. Hybridnet for depth estimation and semantic segmentation
  19. Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows
  20. Bandit Convex Optimisation
  21. Generative Adversarial Model-Based Optimization via Source Critic Regularization
  22. Transferring facade labels between point clouds with semantic octrees while considering change detection
  23. Refining Myocardial Infarction Detection: A Novel Multi-Modal Composite Kernel Strategy in One-Class Classification
  24. Flexible Infinite-Width Graph Convolutional Neural Networks
  25. Reconstructing facade details using MLS point clouds and Bag-of-Words approach
  26. Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions
  27. Classifying point clouds at the facade-level using geometric features and deep learning networks
  28. Scalable Interactive Machine Learning for Future Command and Control
  29. On the Fly Detection of Root Causes from Observed Data with Application to IT Systems
  30. BarlowTwins-CXR : Enhancing Chest X-Ray abnormality localization in heterogeneous data with cross-domain self-supervised learning
  31. Iris-SAM: Iris Segmentation Using a Foundation Model
  32. Deep Learning-Based Auto-Segmentation of Planning Target Volume for Total Marrow and Lymph Node Irradiation
  33. Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings
  34. Le Nozze di Giustizia. Interactions between Artificial Intelligence, Law, Logic, Language and Computation with some case studies in Traffic Regulations and Health Care
  35. Large Language Models for Captioning and Retrieving Remote Sensing Images
  36. "When He Feels Cold, He Goes to the Seahorse"-Blending Generative AI into Multimaterial Storymaking for Family Expressive Arts Therapy
  37. On Differentially Private Subspace Estimation in a Distribution-Free Setting
  38. Cardiac ultrasound simulation for autonomous ultrasound navigation
  39. An Algorithmic Framework for Constructing Multiple Decision Trees by Evaluating Their Combination Performance Throughout the Construction Process
  40. ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation
  41. The Deep Equilibrium Algorithmic Reasoner
  42. Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach
  43. Incorporating Taylor Series and Recursive Structure in Neural Networks for Time Series Prediction
  44. Where is the Truth? The Risk of Getting Confounded in a Continual World
  45. CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention
  46. Findings of the First Workshop on Simulating Conversational Intelligence in Chat
  47. Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions
  48. Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity
  49. Finding hardness reductions automatically using SAT solvers
  50. Deepfake for the Good: Generating Avatars through Face-Swapping with Implicit Deepfake Generation
  51. Human Aesthetic Preference-Based Large Text-to-Image Model Personalization: Kandinsky Generation as an Example
  52. Boosting-Based Sequential Meta-Tree Ensemble Construction for Improved Decision Trees
  53. Maia: A Real-time Non-Verbal Chat for Human-AI Interaction
  54. Optimal estimation of Gaussian (poly)trees
  55. Learning using privileged information for segmenting tumors on digital mammograms
  56. TEE4EHR: Transformer Event Encoder for Better Representation Learning in Electronic Health Records
  57. Modelling Human Values for Value-Aware Multi-Agent Systems
  58. The SkipSponge Attack: Sponge Weight Poisoning of Deep Neural Networks
  59. Copycats: the many lives of a publicly available medical imaging dataset
  60. Fairness of Exposure in Online Restless Multi-armed Bandits
  61. Promoting Target Data in Context-aware Neural Machine Translation
  62. RareBench: Can LLMs Serve as Rare Diseases Specialists?
  63. ExaRanker-Open: Synthetic Explanation for IR using Open-Source LLMs
  64. Taking Class Imbalance Into Account in Open Set Recognition Evaluation
  65. Continual Learning on Graphs: A Survey
  66. A Network for structural dense displacement based on 3D deformable mesh model and optical flow
  67. Prompt Learning on Temporal Interaction Graphs
  68. How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
  69. TimEHR: Image-based Time Series Generation for Electronic Health Records
  70. Multisource Semisupervised Adversarial Domain Generalization Network for Cross-Scene Sea-Land Clutter Classification
  71. A New Approach to Voice Authenticity
  72. A Functional Analysis Approach to Symbolic Regression
  73. Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series
  74. Probabilistic Forecasting of Irregular Time Series via Conditional Flows
  75. MLS2LoD3: Refining low LoDs building models with MLS point clouds to reconstruct semantic LoD3 building models
  76. AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
  77. Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling
  78. Retrieve, Merge, Predict: Augmenting Tables with Data Lakes
  79. Safe Active Learning for Time-Series Modeling with Gaussian Processes
  80. Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics
  81. Adaptive proximal gradient methods are universal without approximation
  82. YAMLE: Yet Another Machine Learning Environment
  83. Single Channel EEG Based Insomnia Identification Without Sleep Stage Annotations
  84. Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
  85. Quantifying and Enhancing Multi-modal Robustness with Modality Preference
  86. Exploring Interaction Patterns for Debugging: Enhancing Conversational Capabilities of AI-assistants
  87. N-1 Reduced Optimal Power Flow Using Augmented Hierarchical Graph Neural Network
  88. Adaptive multi-gradient methods for quasiconvex vector optimization and applications to multi-task learning
  89. Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
  90. ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement
  91. A Unified Causal View of Instruction Tuning
  92. Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation
  93. Halo Reduction in Display Systems through Smoothed Local Histogram Equalization and Human Visual System Modeling
  94. The Generative AI Paradox on Evaluation: What It Can Solve, It May Not Evaluate
  95. GS-CLIP: Gaussian Splatting for Contrastive Language-Image-3D Pretraining from Real-World Data
  96. Large Language Models: A Survey
  97. The Berkeley Single Cell Computational Microscopy (BSCCM) Dataset
  98. Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
  99. A self-supervised framework for learning whole slide representations
  100. Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
  101. Development and validation of an artificial intelligence model to accurately predict spinopelvic parameters
  102. The boundary of neural network trainability is fractal
  103. Comparison of parallel SMC and MCMC for Bayesian deep learning
  104. Pushing Boundaries: Mixup's Influence on Neural Collapse
  105. Learning Contrastive Feature Representations for Facial Action Unit Detection
  106. Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
  107. Assortment Planning with Sponsored Products
  108. Model Editing with Canonical Examples
  109. Target Recognition Algorithm for Monitoring Images in Electric Power Construction Process
  110. Domain Generalization with Small Data
  111. HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting
  112. On the Privacy of Selection Mechanisms with Gaussian Noise
  113. SIR: Multi-view Inverse Rendering with Decomposable Shadow Under Indoor Intense Lighting
  114. Jointly Learning Representations for Map Entities via Heterogeneous Graph Contrastive Learning
  115. TETRIS: Towards Exploring the Robustness of Interactive Segmentation
  116. PAS-SLAM: A Visual SLAM System for Planar Ambiguous Scenes
  117. Rethinking Node-wise Propagation for Large-scale Graph Learning
  118. CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models
  119. Learn To be Efficient: Build Structured Sparsity in Large Language Models
  120. Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method
  121. Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
  122. Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
  123. Spatially-Attentive Patch-Hierarchical Network with Adaptive Sampling for Motion Deblurring
  124. AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage
  125. Multiple Instance Learning for Cheating Detection and Localization in Online Examinations