mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 27 Apr 2024

129 papers

  1. CRISPR-GPT for Agentic Automation of Gene-editing ExperimentsLLM agents and tool use → Medical and scientific domain agents
  2. Advancing Healthcare Automation: Multi-Agent System for Medical Necessity JustificationLLM agents and tool use → Medical and scientific domain agents
  3. Control randomisation approach for policy gradient and application to reinforcement learning in optimal switchingDeep reinforcement learning methods → RL theory and sample complexity
  4. SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
  5. VIEW: Visual Imitation Learning with WaypointsOffline RL and imitation learning from data → Robot manipulation imitation learning
  6. Unsupervised Anomaly Detection via Masked Diffusion Posterior SamplingDiffusion models → Flow matching, time series and science
  7. Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → Medical and biomedical RAG +1
  8. Shared learning of powertrain control policies for vehicle fleetsDeep reinforcement learning methods → RL for autonomous driving and traffic
  9. DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT ReconstructionDiffusion models → Medical imaging and segmentation
  10. Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive ForensicsLLM safety and security → Watermarking generated content and models
  11. Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance FusionState-space sequence models (S4, Mamba) → Speech and audio SSMs
  12. Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User InputsLLM agents and tool use → General LLM agent frameworks and benchmarks
  13. Motion planning for off-road autonomous driving based on human-like cognition and weight adaptationEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  14. Recall, Retrieve and Reason: Towards Better In-Context Relation ExtractionLLM reasoning → Knowledge- and tool-augmented reasoning
  15. Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement LearningLLM agents and tool use → General LLM agent frameworks and benchmarks
  16. Medical Vision-Language Pre-Training for Brain AbnormalitiesMultimodal LLMs / vision-language models → Medical vision-language models
  17. Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image TransmissionDiffusion models → Diffusion for compression and wireless
  18. Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
  19. Co-learning-aided Multi-modal-deep-learning Framework of Passive DOA Estimators for a Heterogeneous Hybrid Massive MIMO Receiver
  20. Intrinsic Voltage Offsets in Memcapacitive Bio-Membranes Enable High-Performance Physical Reservoir Computing
  21. MediFact at MEDIQA-M3G 2024: Medical Question Answering in Dermatology with Multimodal Learning
  22. Evaluating the Application of ChatGPT in Outpatient Triage Guidance: A Comparative Study
  23. From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
  24. Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
  25. CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention
  26. The Simpler The Better: An Entropy-Based Importance Metric To Reduce Neural Networks' Depth
  27. Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods
  28. Multimodal Fusion on Low-quality Data: A Comprehensive Survey
  29. Quality Estimation with k-nearest Neighbors and Automatic Evaluation for Model-specific Quality Estimation
  30. Retrieval Robust to Object Motion Blur
  31. DM-Align: Leveraging the Power of Natural Language Instructions to Make Changes to Images
  32. Application of Deep Learning for Factor Timing in Asset Management
  33. Implicit Generative Prior for Bayesian Neural Networks
  34. FRAME: A Modular Framework for Autonomous Map Merging: Advancements in the Field
  35. LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing
  36. MediFact at MEDIQA-CORR 2024: Why AI Needs a Human Touch
  37. Optimal Initialization of Batch Bayesian Optimization
  38. MinBackProp -- Backpropagating through Minimal Solvers
  39. Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehension
  40. TabVFL: Improving Latent Representation in Vertical Federated Learning
  41. Detection of Conspiracy Theories Beyond Keyword Bias in German-Language Telegram Using Large Language Models
  42. Privacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning
  43. TI-ASU: Toward Robust Automatic Speech Understanding through Text-to-speech Imputation Against Missing Speech Modality
  44. A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning
  45. Automating Customer Needs Analysis: A Comparative Study of Large Language Models in the Travel Industry
  46. HVOFusion: Incremental Mesh Reconstruction Using Hybrid Voxel Octree
  47. Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness
  48. Usefulness of Emotional Prosody in Neural Machine Translation
  49. SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images
  50. Deep Learning for Low-Latency, Quantum-Ready RF Sensing
  51. Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes
  52. PhishGuard: A Convolutional Neural Network Based Model for Detecting Phishing URLs with Explainability Analysis
  53. Cauchy-Schwarz Divergence Information Bottleneck for Regression
  54. Transfer Learning Enhanced Single-choice Decision for Multi-choice Question Answering
  55. Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
  56. Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks
  57. CBMAP: Clustering-based manifold approximation and projection for dimensionality reduction
  58. DTization: A New Method for Supervised Feature Scaling
  59. FDCE-Net: Underwater Image Enhancement with Embedding Frequency and Dual Color Encoder
  60. Critical Review for One-class Classification: recent advances and the reality behind them
  61. Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments
  62. Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition
  63. Pre-training on High Definition X-ray Images: An Experimental Study
  64. Accurate and fast anomaly detection in industrial processes and IoT environments
  65. Results about sets of desirable gamble sets
  66. Open-Set 3D Semantic Instance Maps for Vision Language Navigation -- O3D-SIM
  67. I Have an Attention Bridge to Sell You: Generalization Capabilities of Modular Translation Architectures
  68. EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery (Extended Version)
  69. FedCoSR: Personalized Federated Learning with Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data
  70. Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection
  71. Unpaired Multi-view Clustering via Reliable View Guidance
  72. A Hybrid Approach for Document Layout Analysis in Document images
  73. Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping
  74. Generalization capabilities and robustness of hybrid models grounded in physics compared to purely deep learning models
  75. Underwater Variable Zoom: Depth-Guided Perception Network for Underwater Image Enhancement
  76. Processing HSV Colored Medical Images and Adapting Color Thresholds for Computational Image Analysis: a Practical Introduction to an open-source tool
  77. PromptCL: Improving Event Representation via Prompt Template and Contrastive Learning
  78. DF-SLAM: Dictionary Factors Representation for High-Fidelity Neural Implicit Dense Visual SLAM System
  79. Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation
  80. From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets
  81. Deep Learning Library Testing: Definition, Methods and Challenges
  82. Error analysis for finite element operator learning methods for solving parametric second-order elliptic PDEs
  83. Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target
  84. Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum
  85. BoostRad: Enhancing Object Detection by Boosting Radar Reflections
  86. Uncertainty quantification for iterative algorithms in linear models with application to early stopping
  87. GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic Segmentation
  88. pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning
  89. Instance-free Text to Point Cloud Localization with Relative Position Awareness
  90. Using LLMs in Software Requirements Specifications: An Empirical Evaluation
  91. Toxicity Classification in Ukrainian
  92. Hybrid 3D Human Pose Estimation with Monocular Video and Sparse IMUs
  93. VANER: Leveraging Large Language Model for Versatile and Adaptive Biomedical Named Entity Recognition
  94. Evaluation of Few-Shot Learning for Classification Tasks in the Polish Language
  95. Dynamic Against Dynamic: An Open-set Self-learning Framework
  96. ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazing
  97. Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal
  98. Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
  99. T-CLAP: Temporal-Enhanced Contrastive Language-Audio Pretraining
  100. From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching
All 129
  1. Empirical Analysis of Dialogue Relation Extraction with Large Language Models
  2. Dynamical Mode Recognition of Coupled Flame Oscillators by Supervised and Unsupervised Learning Approaches
  3. Personalized Federated Learning via Sequential Layer Expansion in Representation Learning
  4. GPT for Games: A Scoping Review (2020-2023)
  5. CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous Driving
  6. Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities
  7. BiLO: Bilevel Local Operator Learning for PDE Inverse Problems
  8. Temporal Scaling Law for Large Language Models
  9. MRScore: Evaluating Radiology Report Generation with LLM-based Reward System
  10. High-quality Surface Reconstruction using Gaussian Surfels
  11. Least Volume Analysis
  12. Characterization of dim light response in DVS pixel: Discontinuity of event triggering time
  13. Two-stage Risk Control with Application to Ranked Retrieval
  14. Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization
  15. Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing
  16. RFL-CDNet: Towards Accurate Change Detection via Richer Feature Learning
  17. Likelihood Based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing Constants
  18. Large Multi-modality Model Assisted AI-Generated Image Quality Assessment
  19. Adversarial Examples: Generation Proposal in the Context of Facial Recognition Systems
  20. The Common Core Ontologies
  21. Middle Architecture Criteria
  22. Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
  23. Generative Diffusion-based Downscaling for Climate
  24. UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt -- A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis
  25. MMA-UNet: A Multi-Modal Asymmetric UNet Architecture for Infrared and Visible Image Fusion
  26. On the Rashomon ratio of infinite hypothesis sets
  27. An Attention-Based Deep Learning Architecture for Real-Time Monocular Visual Odometry: Applications to GPS-free Drone Navigation
  28. Segmentation Quality and Volumetric Accuracy in Medical Imaging
  29. Building a Large Japanese Web Corpus for Large Language Models