mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 1 May 2024

196 papers

  1. Portfolio Management using Deep Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
  2. SonicDiffusion: Audio-Driven Image Generation and Editing with Pretrained Diffusion ModelsDiffusion models → Audio, speech and music
  3. Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image AnalysisMultimodal LLMs / vision-language models → Medical vision-language models
  4. WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace SettingLLM agents and tool use → General LLM agent frameworks and benchmarks
  5. ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under UncertaintiesDiffusion models → Diffusion and flow policies for robotics
  6. Obtaining Favorable Layouts for Multiple Object GenerationDiffusion models → Image generation, text-to-image and editing
  7. Deep Reward Supervisions for Tuning Text-to-Image Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
  8. CLIPArTT: Adaptation of CLIP to New Domains at Test TimeMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  9. F3low: Frame-to-Frame Coarse-grained Molecular Dynamics with SE(3) Guided Flow MatchingDiffusion models → Flow matching, time series and science
  10. Self-Play Preference Optimization for Language Model AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  11. TexSliders: Diffusion-Based Texture Editing in CLIP SpaceDiffusion models → 3D, point cloud and scene generation
  12. RGBleftrightarrowX: Image decomposition and synthesis using material- and lighting-aware diffusion modelsDiffusion models → 3D, point cloud and scene generation
  13. No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPODeep reinforcement learning methods → Deep RL algorithms and representations
  14. Learning to Compose: Improving Object Centric Learning by Injecting CompositionalityLLM reasoning → Multimodal reasoning
  15. Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier ExposureDiffusion models → Medical imaging and segmentation
  16. HUGO -- Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology ApproachDeep reinforcement learning methods → RL for energy, networks and operations
  17. Queue-based Eco-Driving at Roundabouts with Reinforcement LearningEnd-to-end autonomous driving → Cooperative and V2X driving +1
  18. Causal Evaluation of Language ModelsLLM reasoning → Causal reasoning in LLMs
  19. Lane Graph Extraction from Aerial Imagery via Lane Segmentation Refinement with Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
  20. The Real, the Better: Aligning Large Language Models with Online Human BehaviorsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  21. Powering In-Database Dynamic Model Slicing for Structured Data AnalyticsMixture-of-experts → MoE large language models
  22. Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-AlignmentLLM reasoning → Test-time compute and efficient thinking +3
  23. Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement LearningLLM agents and tool use → Web, search, and research agents
  24. On the Relevance of Byzantine Robust Optimization Against Data PoisoningLLM safety and security → Backdoor and data poisoning attacks
  25. Lazy Layers to Make Fine-Tuned Diffusion Models More TraceableDiffusion models → Robustness, privacy and adversarial aspects +1
  26. BiomedRAG: A Retrieval Augmented Large Language Model for BiomedicineRetrieval-augmented generation → Medical and biomedical RAG
  27. Monte Carlo Tree Search Boosts Reasoning via Iterative Preference LearningLLM reasoning → Mathematical reasoning +1
  28. RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language ModelsEnd-to-end autonomous driving → Large language models for driving
  29. MetaRM: Shifted Distributions Alignment via Meta-LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  30. UCB-driven Utility Function Search for Multi-objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
  31. Self-Refine Instruction-Tuning for Aligning Reasoning in Language ModelsLLM reasoning → Test-time compute and efficient thinking +1
  32. Employing Federated Learning for Training Autonomous HVAC SystemsDeep reinforcement learning methods → RL for energy, networks and operations
  33. Learning Tactile Insertion in the Real WorldDeep reinforcement learning methods → RL for robot locomotion and manipulation
  34. CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge DistillationKnowledge distillation → Distillation for medical imaging
  35. Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language ModelLLM reasoning → LLM reasoning for recommendation
  36. A Careful Examination of Large Language Model Performance on Grade School ArithmeticLLM reasoning → Mathematical reasoning
  37. Enhance Planning with Physics-informed Safety Controller for End-to-end Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
  38. Streamlining Image Editing with Layered Diffusion BrushesDiffusion models → Image generation, text-to-image and editing
  39. MoPEFT: A Mixture-of-PEFTs for the Segment Anything ModelMixture-of-experts → Mixture of LoRA experts
  40. MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
  41. Clover: Regressive Lightweight Speculative Decoding with Sequential KnowledgeEfficient LLM inference and serving → Speculative decoding
  42. CourseAssist: Pedagogically Appropriate AI Tutor for Computer Science Education
  43. Towards Green AI: Current status and future research
  44. vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs
  45. Extracting chemical food safety hazards from the scientific literature automatically using large language models
  46. A community palm model
  47. A Comprehensive Approach to Carbon Dioxide Emission Analysis in High Human Development Index Countries using Statistical and Machine Learning Techniques
  48. Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts
  49. KITE: A Kernel-based Improved Transferability Estimation Method
  50. Efficient Sample-Specific Encoder Perturbations
  51. Block-Fused Attention-Driven Adaptively-Pooled ResNet Model for Improved Cervical Cancer Classification
  52. Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization
  53. De-Biasing Models of Biased Decisions: A Comparison of Methods Using Mortgage Application Data
  54. Quantum Federated Learning Experiments in the Cloud with Data Encoding
  55. Transformer-Based Self-Supervised Learning for Histopathological Classification of Ischemic Stroke Clot Origin
  56. LOTUS: Improving Transformer Efficiency with Sparsity Pruning and Data Lottery Tickets
  57. A Named Entity Recognition and Topic Modeling-based Solution for Locating and Better Assessment of Natural Disasters in Social Media
  58. MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure
  59. LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes
  60. Characterising the Creative Process in Humans and Large Language Models
  61. Wake Vision: A Tailored Dataset and Benchmark Suite for TinyML Computer Vision Applications
  62. DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling
  63. WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling
  64. Machine Learning Techniques for Data Reduction of Climate Applications
  65. Markov flow policy -- deep MC
  66. Artificial intelligence for context-aware visual change detection in software test automation
  67. Learning to Boost the Performance of Stable Nonlinear Systems
  68. Math Multiple Choice Question Generation via Human-Large Language Model Collaboration
  69. Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers
  70. Brighteye: Glaucoma Screening with Color Fundus Photographs based on Vision Transformer
  71. Efficient Algorithms for Learning Monophonic Halfspaces in Graphs
  72. Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination
  73. Can a Hallucinating Model help in Reducing Human "Hallucination"?
  74. Quickest Change Detection with Confusing Change
  75. Sim-Grasp: Learning 6-DOF Grasp Policies for Cluttered Environments Using a Synthetic Benchmark
  76. Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning
  77. Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations
  78. WIBA: What Is Being Argued? A Comprehensive Approach to Argument Mining
  79. Uncovering Agendas: A Novel French & English Dataset for Agenda Detection on Social Media
  80. HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond
  81. ICU Bloodstream Infection Prediction: A Transformer-Based Approach for EHR Analysis
  82. Sifting out communities in large sparse networks
  83. "Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time
  84. Coherent 3D Portrait Video Reconstruction via Triplane Fusion
  85. Error Exponent in Agnostic PAC Learning
  86. SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators
  87. Rigged Dynamic Mode Decomposition: Data-Driven Generalized Eigenfunction Decompositions for Koopman Operators
  88. Barren Plateaus in Variational Quantum Computing
  89. Quantum-Classical Separations in Shallow-Circuit-Based Learning with and without Noises
  90. Quantum AI for Alzheimer's disease early screening
  91. HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design
  92. From Keyboard to Chatbot: An AI-powered Integration Platform with Large-Language Models for Teaching Computational Thinking for Young Children
  93. More is Better: Deep Domain Adaptation with Multiple Sources
  94. ChatGPT in Data Visualization Education: A Student Perspective
  95. Spectrally Pruned Gaussian Fields with Neural Compensation
  96. Adapting Pretrained Networks for Image Quality Assessment on High Dynamic Range Displays
  97. Is Bigger Edit Batch Size Always Better? -- An Empirical Study on Model Editing with Llama-3
  98. NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness
  99. RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization
  100. Grains of Saliency: Optimizing Saliency-based Training of Biometric Attack Detection Models
All 196
  1. Screening of BindingDB database ligands against EGFR, HER2, Estrogen, Progesterone and NF-kB receptors based on machine learning and molecular docking
  2. HGQ: High Granularity Quantization for Real-time Neural Networks on FPGAs
  3. ConstrainedZero: Chance-Constrained POMDP Planning using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints
  4. Gaussian Universality in Neural Network Dynamics with Generalized Structured Input Distributions
  5. Robustness of shallow graph embedding methods for community detection
  6. When Quantization Affects Confidence of Large Language Models?
  7. Depth Priors in Removal Neural Radiance Fields
  8. Koopman-based Deep Learning for Nonlinear System Estimation
  9. "I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
  10. Multigroup Robustness
  11. Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling
  12. Toward Unified Practices in Trajectory Prediction Research on Bird's-Eye-View Datasets
  13. Investigating Automatic Scoring and Feedback using Large Language Models
  14. Scaling and renormalization in high-dimensional regression
  15. Are Models Biased on Text without Gender-related Language?
  16. GraCo: Granularity-Controllable Interactive Segmentation
  17. Discovering robust biomarkers of psychiatric disorders from resting-state functional MRI via graph neural networks: A systematic review
  18. EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model
  19. Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval
  20. WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting
  21. NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance
  22. Swarm Learning: A Survey of Concepts, Applications, and Trends
  23. Derivative-based regularization for regression
  24. New Benchmark Dataset and Fine-Grained Cross-Modal Fusion Framework for Vietnamese Multimodal Aspect-Category Sentiment Analysis
  25. UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-scale Generation and Registration Enhancement
  26. A Legal Framework for Natural Language Processing Model Training in Portugal
  27. ULLER: A Unified Language for Learning and Reasoning
  28. FMLFS: A Federated Multi-Label Feature Selection Based on Information Theory in IoT Environment
  29. CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions
  30. DAM: A Universal Dual Attention Mechanism for Multimodal Timeseries Cryptocurrency Trend Forecasting
  31. GAD-Generative Learning for HD Map-Free Autonomous Driving
  32. Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring
  33. F2M-Reg: Unsupervised RGB-D Point Cloud Registration with Frame-to-Model Optimization
  34. KVP10k : A Comprehensive Dataset for Key-Value Pair Extraction in Business Documents
  35. GOLD: Geometry Problem Solver with Natural Language Description
  36. Is Temperature the Creativity Parameter of Large Language Models?
  37. Explainable Automatic Grading with Neural Additive Models
  38. What Makes for Good Image Captions?
  39. In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic Detection under Rebalanced Deepfake Detection Protocol
  40. PackVFL: Efficient HE Packing for Vertical Federated Learning
  41. Enhanced Textual Feature Extraction for Visual Question Answering: A Simple Convolutional Approach
  42. A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
  43. DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation
  44. Feature-Aware Noise Contrastive Learning for Unsupervised Red Panda Re-Identification
  45. Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing
  46. Enhancing Surgical Robots with Embodied Intelligence for Autonomous Ultrasound Scanning
  47. Counterfactual Explanations for Deep Learning-Based Traffic Forecasting
  48. Robust Semi-supervised Learning via f-Divergence and α-R'enyi Divergence
  49. Fuzzy Intelligent System for Student Software Project Evaluation
  50. Predictive Accuracy-Based Active Learning for Medical Image Segmentation
  51. MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation
  52. Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibration
  53. Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models
  54. Detail-Enhancing Framework for Reference-Based Image Super-Resolution
  55. Continuous sPatial-Temporal Deformable Image Registration (CPT-DIR) for motion modelling in radiotherapy: beyond classic voxel-based methods
  56. Optimal Bias-Correction and Valid Inference in High-Dimensional Ridge Regression: A Closed-Form Solution
  57. Self-supervised Pre-training of Text Recognizers
  58. Detection of ransomware attacks using federated learning based on the CNN model
  59. Conformal Risk Control for Ordinal Classification
  60. Trust Driven On-Demand Scheme for Client Deployment in Federated Learning
  61. Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities
  62. Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing
  63. CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models
  64. Cell Switching in HAPS-Aided Networking: How the Obscurity of Traffic Loads Affects the Decision
  65. Variational Bayesian Methods for a Tree-Structured Stick-Breaking Process Mixture of Gaussians by Application of the Bayes Codes for Context Tree Models
  66. Visual and audio scene classification for detecting discrepancies in video: a baseline method and experimental protocol
  67. Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
  68. Distance Sampling-based Paraphraser Leveraging ChatGPT for Text Data Manipulation
  69. AdaMoLE: Fine-Tuning Large Language Models with Adaptive Mixture of Low-Rank Adaptation Experts
  70. Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding
  71. Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis
  72. Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph
  73. Learning High-Quality Navigation and Zooming on Omnidirectional Images in Virtual Reality
  74. A Self-explaining Neural Architecture for Generalizable Concept Learning
  75. Practical Dataset Distillation Based on Deep Support Vectors
  76. NC-SDF: Enhancing Indoor Scene Reconstruction Using Neural SDFs with View-Dependent Normal Compensation
  77. A Survey on Deep Active Learning: Recent Advances and New Frontiers
  78. Integrating A.I. in Higher Education: Protocol for a Pilot Study with 'SAMCares: An Adaptive Learning Hub'
  79. DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training
  80. Data Augmentation Policy Search for Long-Term Forecasting
  81. Covariant spatio-temporal receptive fields for spiking neural networks
  82. Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey
  83. Three-layer deep learning network random trees for fault detection in chemical production process
  84. Active Learning with Task Adaptation Pre-training for Speech Emotion Recognition
  85. QUACK: Quantum Aligned Centroid Kernel
  86. Joint Optimization of Piecewise Linear Ensembles
  87. Generating Feedback-Ladders for Logical Errors in Programming using Large Language Models
  88. Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression
  89. How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses
  90. Adversarial Attacks and Defense for Conversation Entailment Task
  91. SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation
  92. iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning
  93. Social Life Simulation for Non-Cognitive Skills Learning
  94. Using Texture to Classify Forests Separately from Vegetation
  95. CREPE: Coordinate-Aware End-to-End Document Parser
  96. ASAM: Boosting Segment Anything Model with Adversarial Tuning