mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 6 Mar 2024

255 papers

  1. Membership Information Leakage in Federated Contrastive LearningLLM safety and security → Federated unlearning and poisoning
  2. Self-Supervised Path Planning in UAV-aided Wireless Networks based on Active InferenceWorld models → World models for navigation
  3. WaterMax: breaking the LLM watermark detectability-robustness-quality trade-offLLM safety and security → Watermarking generated content and models
  4. Belief-Enriched Pessimistic Q-Learning against Adversarial State PerturbationsDeep reinforcement learning methods → Adversarial robustness and RL in finance
  5. Can Large Language Models do Analytical Reasoning?LLM reasoning → Reasoning benchmarks and evaluation
  6. Learning Guided Automated Reasoning: A Brief SurveyLLM reasoning → Mathematical reasoning
  7. PromptCharm: Text-to-Image Generation through Multi-modal Prompting and RefinementDiffusion models → Image generation, text-to-image and editing
  8. Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical SystemsDeep reinforcement learning methods → Safe and constrained RL
  9. Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill TransferDeep reinforcement learning methods → RL for robot locomotion and manipulation
  10. Video Relationship Detection Using Mixture of ExpertsMixture-of-experts → Vision mixture-of-experts
  11. 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D RepresentationsDiffusion models → Diffusion and flow policies for robotics +1
  12. Stop Regressing: Training Value Functions via Classification for Scalable Deep RLDeep reinforcement learning methods → Deep RL algorithms and representations
  13. Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning +1
  14. GUIDE: Guidance-based Incremental Learning with Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  15. Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics
  16. Unlocking Dataset Distillation with Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  17. Are Language Models Puzzle Prodigies? Algorithmic Puzzles Unveil Serious Challenges in Multimodal ReasoningLLM reasoning → Multimodal reasoning
  18. Accelerating Convergence of Score-Based Diffusion Models, ProvablyDiffusion models → Diffusion foundations and sampling
  19. MedMamba: Vision Mamba for Medical Image ClassificationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  20. Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  21. Can Distillation Mitigate Backdoor Attacks in Pre-trained Encoders?LLM safety and security → Backdoor and data poisoning attacks +1
  22. Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection AttacksLLM safety and security → Prompt injection and agent security
  23. Learning 3D object-centric representation through predictionLLM reasoning → Spatial and embodied reasoning
  24. Diffusion on language model encodings for protein sequence generationDiffusion models → Flow matching, time series and science
  25. Rapidly Developing High-quality Instruction Data and Evaluation Benchmark for Large Language Models with Minimal Human Effort: A Case Study on JapaneseSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
  26. Learning Adversarial MDPs with Stochastic Hard ConstraintsDeep reinforcement learning methods → RL theory and sample complexity
  27. A Survey on Applications of Reinforcement Learning in Spatial Resource AllocationDeep reinforcement learning methods → RL for energy, networks and operations
  28. SheetAgent: Towards A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning +1
  29. Multimodal Large Language Models to Support Real-World Fact-CheckingMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  30. Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
  31. Diffusion-based Generative Prior for Low-Complexity MIMO Channel EstimationDiffusion models → Diffusion for compression and wireless
  32. Towards Efficient and Effective Unlearning of Large Language Models for RecommendationLLM safety and security → Membership inference attacks
  33. NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and MergingDiffusion models → Image generation, text-to-image and editing
  34. A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-DistillationKnowledge distillation → Graph neural network distillation
  35. FLAME Diffuser: Wildfire Image Synthesis using Mask Guided DiffusionDiffusion models → Diffusion foundations and sampling
  36. Slot Abstractors: Toward Scalable Abstract Visual ReasoningLLM reasoning → Multimodal reasoning
  37. D4C: Improving Negative Example Quality to Enhance Machine Abstract Reasoning AbilityLLM reasoning → Multimodal reasoning
  38. Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language ModelsMixture-of-experts → Mixture of LoRA experts
  39. Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image EditingDiffusion models → Image generation, text-to-image and editing
  40. Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  41. Causality-based Cross-Modal Representation Learning for Vision-and-Language NavigationLLM safety and security → Backdoor and data poisoning attacks
  42. Levels of AI Agents: from Rules to Large Language Models
  43. Neural Additive Image Model: Interpretation through Interpolation
  44. Technical Report on BaumEvA Evolutionary Optimization Python-Library Testing
  45. The active visual sensing methods for robotic welding: review, tutorial and prospect
  46. Playing With Neuroscience: Past, Present and Future of Neuroimaging and Games
  47. Measuring Diversity in Co-creative Image Generation
  48. A Multi-Task Oriented Semantic Communication Framework for Autonomous Vehicles
  49. The Boy Who Survived: Removing Harry Potter from an LLM is harder than reported
  50. Introducing First-Principles Calculations: New Approach to Group Dynamics and Bridging Social Phenomena in TeNP-Chain Based Social Dynamics Simulations
  51. Eternal Sunshine of the Mechanical Mind: The Irreconcilability of Machine Learning and the Right to be Forgotten
  52. Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models
  53. Restricted Bayesian Neural Network
  54. Investigation of the Impact of Synthetic Training Data in the Industrial Application of Terminal Strip Object Detection
  55. Mathematics of Neural Networks (Lecture Notes Graduate Course)
  56. Hitchhiker's guide to cancer-associated lymphoid aggregates in histology images: manual and deep learning-based quantification approaches
  57. Multi-Object Tracking with Camera-LiDAR Fusion for Autonomous Driving
  58. Using Causal Trees to Estimate Personalized Task Difficulty in Post-Stroke Individuals
  59. Understanding Biology in the Age of Artificial Intelligence
  60. Natural Language Processing in the Patent Domain: A Survey
  61. Many-Objective Multi-Solution Transport
  62. The Cognitive Type Project -- Mapping Typography to Cognition
  63. Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records
  64. Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations
  65. Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
  66. Directional Smoothness and Gradient Methods: Convergence and Adaptivity
  67. Transformers and Language Models in Form Understanding: A Comprehensive Review of Scanned Document Analysis
  68. Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection
  69. Forecasting and Mitigating Disruptions in Public Bus Transit Services
  70. On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors
  71. Improving Adversarial Training using Vulnerability-Aware Perturbation Budget
  72. LoDisc: Learning Global-Local Discriminative Features for Self-Supervised Fine-Grained Visual Recognition
  73. Sample size planning for conditional counterfactual mean estimation with a K-armed randomized experiment
  74. OCD-FL: A Novel Communication-Efficient Peer Selection-based Decentralized Federated Learning
  75. Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift
  76. Personalizing explanations of AI-driven hints to users' characteristics: an empirical evaluation
  77. Online Learning with Unknown Constraints
  78. Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification
  79. Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent
  80. Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records
  81. Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks
  82. Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media
  83. On the Efficient Marginalization of Probabilistic Sequence Models
  84. Guiding Enumerative Program Synthesis with Large Language Models
  85. Rethinking Urban Flood Risk Assessment By Adapting Health Domain Perspective
  86. Personalized Negative Reservoir for Incremental Learning in Recommender Systems
  87. Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability
  88. Backtracing: Retrieving the Cause of the Query
  89. SPEAR:Exact Gradient Inversion of Batches in Federated Learning
  90. The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models
  91. Extreme Precipitation Nowcasting using Transformer-based Generative Models
  92. Consciousness qua Mortal Computation
  93. Did Translation Models Get More Robust Without Anyone Even Noticing?
  94. Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts
  95. A Measure for Transparent Comparison of Linguistic Diversity in Multilingual NLP Data Sets
  96. Black-Box k-to-1-PCA Reductions: Theory and Applications
  97. DART: Implicit Doppler Tomography for Radar Novel View Synthesis
  98. IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators
  99. From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models
  100. Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology
All 255
  1. FaaF: Facts as a Function for the evaluation of generated text
  2. SaulLM-7B: A pioneering Large Language Model for Law
  3. Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation
  4. Almost Surely Asymptotically Constant Graph Neural Networks
  5. Redefining cystoscopy with ai: bladder cancer diagnosis using an efficient hybrid cnn-transformer model
  6. Impoverished Language Technology: The Lack of (Social) Class in NLP
  7. Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data
  8. Learning to Decode Collaboratively with Multiple Language Models
  9. Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage
  10. On the Origins of Linear Representations in Large Language Models
  11. KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions
  12. X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification
  13. Designing Informative Metrics for Few-Shot Example Selection
  14. Emojinize: Enriching Any Text with Emoji Translations
  15. Public-data Assisted Private Stochastic Optimization: Power and Limitations
  16. ECAP: Extensive Cut-and-Paste Augmentation for Unsupervised Domain Adaptive Semantic Segmentation
  17. ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
  18. Conformal prediction for multi-dimensional time series by ellipsoidal sets
  19. Feature Selection as Deep Sequential Generative Learning
  20. Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning
  21. Your device may know you better than you know yourself -- continuous authentication on novel dataset using machine learning
  22. From Clicks to Security: Investigating Continuous Authentication via Mouse Dynamics
  23. An L-BFGS-B approach for linear and nonlinear system identification under ℓ1 and group-Lasso regularization
  24. Temporal Enhanced Floating Car Observers
  25. A Modular Approach for Multimodal Summarization of TV Shows
  26. Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters
  27. Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ
  28. ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing
  29. Incentivized Learning in Principal-Agent Bandit Games
  30. Confidence-Aware Decision-Making and Control for Tool Selection
  31. A Precision Drone Landing System using Visual and IR Fiducial Markers and a Multi-Payload Camera
  32. KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
  33. Popeye: A Unified Visual-Language Model for Multi-Source Ship Detection from Remote Sensing Imagery
  34. PPTC-R benchmark: Towards Evaluating the Robustness of Large Language Models for PowerPoint Task Completion
  35. A machine learning workflow to address credit default prediction
  36. Neural Architecture Search using Particle Swarm and Ant Colony Optimization
  37. ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport
  38. Verified Training for Counterfactual Explanation Robustness under Data Shift
  39. AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs
  40. Joint Sparsity Pattern Learning Based Channel Estimation for Massive MIMO-OTFS Systems
  41. DeepCRE: Transforming Drug R&D via AI-Driven Cross-drug Response Evaluation
  42. Predicting the Temperature Dependence of Surfactant CMCs Using Graph Neural Networks
  43. Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations
  44. German also Hallucinates! Inconsistency Detection in News Summaries with the Absinth Dataset
  45. MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models
  46. SUPClust: Active Learning at the Boundaries
  47. Self-supervised Photographic Image Layout Representation Learning
  48. A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network
  49. Probabilistic Topic Modelling with Transformer Representations
  50. Unifying Generation and Compression: Ultra-low bitrate Image Coding Via Multi-stage Transformer
  51. Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training
  52. CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection
  53. Multimodal Transformer for Comics Text-Cloze
  54. MeaCap: Memory-Augmented Zero-shot Image Captioning
  55. Multi-Grained Cross-modal Alignment for Learning Open-vocabulary Semantic Segmentation from Text Supervision
  56. Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery
  57. Development of an offline and online hybrid model for the Integrated Forecasting System
  58. Model Parallelism on Distributed Infrastructure: A Literature Review from Theory to LLM Case-Studies
  59. Towards Controllable Time Series Generation
  60. Spectral Phase Transition and Optimal PCA in Block-Structured Spiked models
  61. MolNexTR: A Generalized Deep Learning Model for Molecular Image Recognition
  62. General2Specialized LLMs Translation for E-commerce
  63. 3D Object Visibility Prediction in Autonomous Driving
  64. Simplified PCNet with Robustness
  65. Adversarial Infrared Geometry: Using Geometry to Perform Adversarial Attack against Infrared Pedestrian Detectors
  66. Portraying the Need for Temporal Data in Flood Detection via Sentinel-1
  67. CDC: A Simple Framework for Complex Data Clustering
  68. Spectral Algorithms on Manifolds through Diffusion
  69. Provable Filter for Real-world Graph Clustering
  70. Environmental Insights: Democratizing Access to Ambient Air Pollution Data and Predictive Analytics with an Open-Source Python Package
  71. Harnessing Meta-Learning for Improving Full-Frame Video Stabilization
  72. Robust Graph Structure Learning under Heterophily
  73. Graph Generation Powered with LLMs for Boosting Multivariate Time-Series Representation Learning
  74. Generative Active Learning with Variational Autoencoder for Radiology Data Generation in Veterinary Medicine
  75. Apollo: A Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People
  76. Exact objectives of random linear programs and mean widths of random polyhedrons
  77. Marginalize, Rather than Impute: Probabilistic Wind Power Forecasting with Incomplete Data
  78. GPTopic: Dynamic and Interactive Topic Representations
  79. Reducing the dimensionality and granularity in hierarchical categorical variables
  80. GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding
  81. The Geometric Structure of Topic Models
  82. Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators
  83. Data-Based In-Cylinder Pressure Model with Cyclic Variations for Combustion Control: A RCCI Engine Application
  84. A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation
  85. Learning Invariant Representations of Graph Neural Networks via Cluster Generalization
  86. Assessing the Aesthetic Evaluation Capabilities of GPT-4 with Vision: Insights from Group and Individual Assessments
  87. Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
  88. Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training
  89. DeepEclipse: How to Break White-Box DNN-Watermarking Schemes
  90. Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices
  91. RouteExplainer: An Explanation Framework for Vehicle Routing Problem
  92. Design of an Open-Source Architecture for Neural Machine Translation
  93. Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing
  94. Causal Disentanglement for Regulating Social Influence Bias in Social Recommendation
  95. gaHealth: An English-Irish Bilingual Corpus of Health Data
  96. On Transfer in Classification: How Well do Subsets of Classes Generalize?
  97. Multimodal Anomaly Detection based on Deep Auto-Encoder for Object Slip Perception of Mobile Manipulation Robots
  98. Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond
  99. HMD-Poser: On-Device Real-time Human Motion Tracking from Scalable Sparse Observations
  100. Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem
  101. Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers
  102. Emotional Manipulation Through Prompt Engineering Amplifies Disinformation Generation in AI Large Language Models
  103. Prompt Mining for Language-based Human Mobility Forecasting
  104. DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
  105. Gadolinium dose reduction for brain MRI using conditional deep learning
  106. RADIA -- Radio Advertisement Detection with Intelligent Analytics
  107. Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
  108. Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension
  109. FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network
  110. Non-verbal information in spontaneous speech -- towards a new framework of analysis
  111. BiVert: Bidirectional Vocabulary Evaluation using Relations for Machine Translation
  112. IB-Net: Initial Branch Network for Variable Decision in Boolean Satisfiability
  113. Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling
  114. CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models
  115. Dcl-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation
  116. EXPRTS: Exploring and Probing the Robustness of Time Series Forecasting Models
  117. GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
  118. Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insights
  119. A Knowledge Plug-and-Play Test Bed for Open-domain Dialogue Generation
  120. VastTrack: Vast Category Visual Object Tracking
  121. Fast, nonlocal and neural: a lightweight high quality solution to image denoising
  122. Magic Markup: Maintaining Document-External Markup with an LLM
  123. Continual Segmentation with Disentangled Objectness Learning and Class Recognition
  124. Inverse-Free Fast Natural Gradient Descent Method for Deep Learning
  125. Boosting Meta-Training with Base Class Information for Few-Shot Learning
  126. Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator
  127. Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding
  128. Interactive Continual Learning Architecture for Long-Term Personalization of Home Service Robots
  129. A Density-Guided Temporal Attention Transformer for Indiscernible Object Counting in Underwater Video
  130. TGPT-PINN: Nonlinear model reduction with transformed GPT-PINNs
  131. DLP-GAN: learning to draw modern Chinese landscape photos with generative adversarial network
  132. Learning Constrained Optimization with Deep Augmented Lagrangian Methods
  133. SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization
  134. Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering
  135. HDRFlow: Real-Time HDR Video Reconstruction with Large Motions
  136. Uncertainty quantification for deeponets with ensemble kalman inversion
  137. VLSP 2023 -- LTER: A Summary of the Challenge on Legal Textual Entailment Recognition
  138. An AI-enabled Agent-Based Model and Its Application in Measles Outbreak Simulation for New Zealand
  139. Single Transit Detection In Kepler With Machine Learning And Onboard Spacecraft Diagnostics
  140. Sculpting Molecules in Text-3D Space: A Flexible Substructure Aware Framework for Text-Oriented Molecular Optimization
  141. LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
  142. Leveraging The Finite States of Emotion Processing to Study Late-Life Mental Health
  143. Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design
  144. Prediction Of Cryptocurrency Prices Using LSTM, SVM And Polynomial Regression
  145. Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
  146. Scene Depth Estimation from Traditional Oriental Landscape Paintings
  147. Human vs. Machine: Behavioral Differences Between Expert Humans and Language Models in Wargame Simulations
  148. An EnKF-LSTM Assimilation Algorithm for Crop Growth Model
  149. BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving
  150. Contrastive Learning of Person-independent Representations for Facial Action Unit Detection
  151. Japanese-English Sentence Translation Exercises Dataset for Automatic Grading
  152. Interactive Melody Generation System for Enhancing the Creativity of Musicians
  153. Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detection
  154. Multi-modal Deep Learning
  155. Adaptive Discovering and Merging for Incremental Novel Class Discovery