mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 11 Nov 2024

276 papers

  1. Efficient Denoising Method to Improve The Resolution of Satellite ImagesDiffusion models → Inverse problems and image restoration
  2. Using Generative AI and Multi-Agents to Provide Automatic FeedbackLLM agents and tool use → Educational agents and math problem solving
  3. Toward Optimal Search and Retrieval for RAGRetrieval-augmented generation → RAG pipeline design and evaluation
  4. AEROMamba: An efficient architecture for audio super-resolution using generative adversarial networks and state space modelsState-space sequence models (S4, Mamba) → Speech and audio SSMs
  5. UTMath: Math Evaluation with Unit Test via Reasoning-to-Coding ThoughtsLLM reasoning → Mathematical reasoning
  6. Non-equilibrium active noise enhances generative memory in diffusion modelsDiffusion models → Diffusion foundations and sampling
  7. Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  8. ChemToolAgent: The Impact of Tools on Language Agents for Chemistry Problem SolvingLLM agents and tool use → Medical and scientific domain agents
  9. DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-IDDiffusion models → 3D, point cloud and scene generation
  10. OmniEdit: Building Image Editing Generalist Models Through Specialist SupervisionDiffusion models → Image generation, text-to-image and editing
  11. Token Merging for Training-Free Semantic Binding in Text-to-Image SynthesisEfficient LLM inference and serving → Visual token pruning in multimodal models
  12. Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  13. SCAR: Sparse Conditioned Autoencoders for Concept Detection and Steering in LLMsLLM safety and security → Safety alignment, refusal and guardrails
  14. Training Neural Networks as Recognizers of Formal LanguagesLLM reasoning → Reasoning benchmarks and evaluation
  15. A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven InputsLLM agents and tool use → Software engineering coding agents
  16. OCMDP: Observation-Constrained Markov Decision ProcessDeep reinforcement learning methods → RL theory and sample complexity
  17. To Train or Not to Train: Balancing Efficiency and Training Cost in Deep Reinforcement Learning for Mobile Edge ComputingDeep reinforcement learning methods → RL for energy, networks and operations
  18. StoryTeller: Improving Long Video Description through Global Audio-Visual Character IdentificationMultimodal LLMs / vision-language models → Video understanding with MLLMs
  19. Invar-RAG: Invariant LLM-aligned Retrieval for Better GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  20. Non-Adversarial Inverse Reinforcement Learning via Successor Feature MatchingOffline RL and imitation learning from data → Inverse reinforcement learning +1
  21. Enhancing Robot Assistive Behaviour with Reinforcement Learning and Theory of MindDeep reinforcement learning methods → RL for robot locomotion and manipulation
  22. Mamba-based Decoder-Only Approach with Bidirectional Speech Modeling for Speech RecognitionState-space sequence models (S4, Mamba) → Speech and audio SSMs
  23. Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive ExplorationOffline RL and imitation learning from data → Imitation learning methods
  24. UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  25. LongSafety: Enhance Safety for Long-Context LLMsLLM safety and security → Safety alignment, refusal and guardrails
  26. SPARTAN: A Sparse Transformer World Model Attending to What MattersWorld models → Latent predictive world models
  27. CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  28. LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language ModelsKnowledge distillation → Knowledge distillation for LLMs
  29. HarmLevelBench: Evaluating Harm-Level Compliance and the Impact of Quantization on Model AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  30. Adaptive Conditional Expert Selection Network for Multi-domain RecommendationMixture-of-experts → MoE for recommender systems
  31. Streetwise Agents: Empowering Offline RL Policies to Outsmart Exogenous Stochastic Disturbances in RTCOffline RL and imitation learning from data → Offline multi-agent RL
  32. AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information AssistantRetrieval-augmented generation → RAG pipeline design and evaluation
  33. ScaleKD: Strong Vision Transformers Could Be Excellent TeachersKnowledge distillation → General knowledge distillation methods
  34. White-Box Diffusion Transformer for single-cell RNA-seq generationDiffusion models → Flow matching, time series and science
  35. Multi-Stage Knowledge Integration of Vision-Language Models for Continual LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  36. Semantic Enhancement for Object SLAM with Heterogeneous Multimodal Large Language Model AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  37. MrSteve: Instruction-Following Agents in Minecraft with What-Where-When MemoryLLM agents and tool use → Reinforcement learning for LLM agents
  38. GSL-PCD: Improving Generalist-Specialist Learning with Point Cloud Feature-based Task PartitioningDeep reinforcement learning methods → Deep RL algorithms and representations
  39. Ambient AI Scribing Support: Comparing the Performance of Specialized AI Agentic Architecture to Leading Foundational ModelsLLM agents and tool use → Medical and scientific domain agents
  40. Layout Control and Semantic Guidance with Attention Loss Backward for T2I Diffusion ModelDiffusion models → Image generation, text-to-image and editing
  41. SeedEdit: Align Image Re-Generation to Image EditingDiffusion models → Image generation, text-to-image and editing
  42. WDMoE: Wireless Distributed Mixture of Experts for Large Language ModelsMixture-of-experts → Efficient MoE training and inference systems
  43. Explore the Reasoning Capability of LLMs in the Chess TestbedLLM reasoning → Reasoning for agents, planning and code
  44. LFSamba: Marry SAM with Mamba for Light Field Salient Object DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  45. Two Kinds of Learning Algorithms for Continuous-Time VWAP Targeting ExecutionDeep reinforcement learning methods → RL theory and sample complexity
  46. Probabilistic Forecasting of Radiation Exposure for Spaceflight
  47. Finding "Good Views" of Electrocardiogram Signals for Inferring Abnormalities in Cardiac Condition
  48. A Clinical Trial Design Approach to Auditing Language Models in Healthcare Setting
  49. A multi-dimensional unsupervised machine learning framework for clustering residential heat load profiles
  50. Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
  51. Integrated Water Resource Management in the Segura Hydrographic Basin: An Artificial Intelligence Approach
  52. Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey
  53. A Survey on Importance of Homophones Spelling Correction Model for Khmer Authors
  54. LoRA-BERT: a Natural Language Processing Model for Robust and Accurate Prediction of long non-coding RNAs
  55. Modeling variable guide efficiency in pooled CRISPR screens with ContrastiveVI+
  56. Intelligent Green Efficiency for Intrusion Detection
  57. Automatically Detecting Online Deceptive Patterns
  58. Fast unsupervised ground metric learning with tree-Wasserstein distance
  59. XPoint: A Self-Supervised Visual-State-Space based Architecture for Multispectral Image Registration
  60. Just Label the Repeats for In-The-Wild Audio-to-Score Alignment
  61. Evaluating Detection Thresholds: The Impact of False Positives and Negatives on Super-Resolution Ultrasound Localization Microscopy
  62. Predicting BWR Criticality with Data-Driven Machine Learning Model
  63. Untangling Hate Speech Definitions: A Semantic Componential Analysis Across Cultures and Domains
  64. T2-Only Prostate Cancer Prediction by Meta-Learning from Bi-Parametric MR Imaging
  65. Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources
  66. ODEStream: A Buffer-Free Online Learning Framework with ODE-based Adaptor for Streaming Time Series Forecasting
  67. Controllable Context Sensitivity and the Knob Behind It
  68. Beyond Keywords: A Context-based Hybrid Approach to Mining Ethical Concern-related App Reviews
  69. Data-Centric Learning Framework for Real-Time Detection of Aiming Beam in Fluorescence Lifetime Imaging Guided Surgery
  70. Feature-Space Semantic Invariance: Enhanced OOD Detection for Open-Set Domain Generalization
  71. Federated Learning Client Pruning for Noisy Labels
  72. Firing Rate Models as Associative Memory: Excitatory-Inhibitory Balance for Robust Retrieval
  73. Isochrony-Controlled Speech-to-Text Translation: A study on translating from Sino-Tibetan to Indo-European Languages
  74. MaLei at the PLABA Track of TREC 2024: RoBERTa for Term Replacement -- LLaMA3.1 and GPT-4o for Complete Abstract Adaptation
  75. Data-Driven Analysis of AI in Medical Device Software in China: Trends of Deep Learning and Traditional AI Based on Regulatory Data
  76. Ensemble Learning for Microbubble Localization in Super-Resolution Ultrasound
  77. Identifying Differential Patient Care Through Inverse Intent Inference
  78. Factorised Active Inference for Strategic Multi-Agent Interactions
  79. Generalization of Brady-Yong Algorithm for Fast Hough Transform to Arbitrary Image Size
  80. Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study
  81. Multi-head Span-based Detector for AI-generated Fragments in Scientific Papers
  82. Warmstarting for Scaling Language Models
  83. SetLexSem Challenge: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models
  84. Balancing Multimodal Training Through Game-Theoretic Regularization
  85. SE(3) Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation
  86. Artificial Intelligence-Informed Handheld Breast Ultrasound for Screening: A Systematic Review of Diagnostic Test Accuracy
  87. Richer Output for Richer Countries: Uncovering Geographical Disparities in Generated Stories and Travel Recommendations
  88. SynRL: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learning
  89. Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review
  90. Anomaly Detection in OKTA Logs using Autoencoders
  91. GPU-Accelerated Inverse Lithography Towards High Quality Curvy Mask Generation
  92. X-DFS: Explainable Artificial Intelligence Guided Design-for-Security Solution Space Exploration
  93. PICZL: Image-based Photometric Redshifts for AGN
  94. Merit-Based Sortition in Decentralized Systems
  95. Artificial Intelligence Ecosystem for Automating Self-Directed Teaching
  96. The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
  97. Constructing Gaussian Processes via Samplets
  98. Empirical Quantum Advantage Analysis of Quantum Kernel in Gene Expression Data
  99. DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuning
  100. OpenThaiGPT 1.5: A Thai-Centric Open Source Large Language Model
All 276
  1. Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries
  2. Watermark Anything with Localized Messages
  3. Learning from Limited and Imperfect Data
  4. TempCharBERT: Keystroke Dynamics for Continuous Access Control Based on Pre-trained Language Models
  5. Grounding Video Models to Actions through Goal Conditioned Exploration
  6. TreeCoders: Trees of Transformers
  7. Feature Selection Based on Wasserstein Distance
  8. Comparing Bottom-Up and Top-Down Steering Approaches on In-Context Learning Tasks
  9. General Geospatial Inference with a Population Dynamics Foundation Model
  10. 'Explaining RL Decisions with Trajectories': A Reproducibility Study
  11. Data-Driven Predictive Control of Nonholonomic Robots Based on a Bilinear Koopman Realization: Data Does Not Replace Geometry
  12. The Super Weight in Large Language Models
  13. NatureLM-audio: an Audio-Language Foundation Model for Bioacoustics
  14. Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised Domain Adaptation
  15. SAMPart3D: Segment Any Part in 3D Objects
  16. Revisiting Ensembling in One-Shot Federated Learning
  17. Gumbel Counterfactual Generation From Language Models
  18. Joint Age-State Belief is All You Need: Minimizing AoII via Pull-Based Remote Estimation
  19. More Expressive Attention with Negative Weights
  20. Continual Memorization of Factoids in Language Models
  21. Anytime Sequential Halving in Monte-Carlo Tree Search
  22. Enhancing Predictive Maintenance in Mining Mobile Machinery through a TinyML-enabled Hierarchical Inference Network
  23. A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19
  24. RoundTable: Investigating Group Decision-Making Mechanism in Multi-Agent Collaboration
  25. A Primer on Word Embeddings: AI Techniques for Text Analysis in Social Work
  26. Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
  27. HierTOD: A Task-Oriented Dialogue System Driven by Hierarchical Goals
  28. Variational Graph Contrastive Learning
  29. Lost in Tracking Translation: A Comprehensive Analysis of Visual SLAM in Human-Centered XR and IoT Ecosystems
  30. Greenback Bears and Fiscal Hawks: Finance is a Jungle and Text Embeddings Must Adapt
  31. Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models
  32. Nuremberg Letterbooks: A Multi-Transcriptional Dataset of Early 15th Century Manuscripts for Document Analysis
  33. Edify 3D: Scalable High-Quality 3D Asset Generation
  34. Stronger Models are NOT Stronger Teachers for Instruction Tuning
  35. On Many-Shot In-Context Learning for Long-Context Evaluation
  36. Benchmarking LLMs' Judgments with No Gold Standard
  37. Fast and Robust Contextual Node Representation Learning over Dynamic Graphs
  38. Decoding Visual Experience and Mapping Semantics through Whole-Brain Analysis Using fMRI Foundation Models
  39. Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees
  40. ConvMixFormer- A Resource-efficient Convolution Mixer for Transformer-based Dynamic Hand Gesture Recognition
  41. TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems
  42. Building a Taiwanese Mandarin Spoken Language Model: A First Attempt
  43. Learning Multi-Agent Loco-Manipulation for Long-Horizon Quadrupedal Pushing
  44. Effectively Leveraging Momentum Terms in Stochastic Line Search Frameworks for Fast Optimization of Finite-Sum Problems
  45. Bounded Rationality Equilibrium Learning in Mean Field Games
  46. Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification
  47. Extreme Rotation Estimation in the Wild
  48. Differentially-Private Collaborative Online Personalized Mean Estimation
  49. Towards Characterizing Cyber Networks with Large Language Models
  50. Transformer verbatim in-context retrieval across time and scale
  51. Increasing Rosacea Awareness Among Population Using Deep Learning and Statistical Approaches
  52. An Interpretable X-ray Style Transfer via Trainable Local Laplacian Filter
  53. Universal Response and Emergence of Induction in LLMs
  54. On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models
  55. Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training
  56. General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization
  57. Reconstruction of neuromorphic dynamics from a single scalar time series using variational autoencoder and neural network map
  58. Unified Bayesian representation for high-dimensional multi-modal biomedical data for small-sample classification
  59. How Do Users Negotiate Harmful Value Conflicts with AI Companions? A Study with Minion, a Technology Probe for In-Situ Human-AI Conflict Response
  60. Learning Collective Dynamics of Multi-Agent Systems using Event-based Vision
  61. Designing Reliable Experiments with Generative Agent-Based Modeling: A Comprehensive Guide Using Concordia by Google DeepMind
  62. LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios
  63. Evaluating the Accuracy of Chatbots in Financial Literature
  64. Scaling Mesh Generation via Compressive Tokenization
  65. HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph Representation Learning
  66. UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction
  67. Data-Driven Gradient Optimization for Field Emission Management in a Superconducting Radio-Frequency Linac
  68. Leveraging LSTM for Predictive Modeling of Satellite Clock Bias
  69. A neural-network based anomaly detection system and a safety protocol to protect vehicular network
  70. Hierarchical Conditional Tabular GAN for Multi-Tabular Synthetic Data Generation
  71. Permutative redundancy and uncertainty of the objective in deep learning
  72. Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs
  73. Which PPML Would a User Choose? A Structured Decision Support Framework for Developers to Rank PPML Techniques Based on User Acceptance Criteria
  74. SIESEF-FusionNet: Spatial Inter-correlation Enhancement and Spatially-Embedded Feature Fusion Network for LiDAR Point Cloud Semantic Segmentation
  75. Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis
  76. The Backpropagation of the Wave Network
  77. A Hierarchical Compression Technique for 3D Gaussian Splatting Compression
  78. MapSAM: Adapting Segment Anything Model for Automated Feature Detection in Historical Maps
  79. A Hyperspectral Imaging Dataset and Methodology for Intraoperative Pixel-Wise Classification of Metastatic Colon Cancer in the Liver
  80. Robust Fine-tuning of Zero-shot Models via Variance Reduction
  81. ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis
  82. Data-driven discovery of mechanical models directly from MRI spectral data
  83. Sniff AI: Is My 'Spicy' Your 'Spicy'? Exploring LLM's Perceptual Alignment with Human Smell Experiences
  84. Cancer-Answer: Empowering Cancer Care with Advanced Large Language Models
  85. Multi-class Decoding of Attended Speaker Direction Using Electroencephalogram and Audio Spatial Spectrum
  86. Multi-modal Iterative and Deep Fusion Frameworks for Enhanced Passive DOA Sensing via a Green Massive H2AD MIMO Receiver
  87. Understanding Generalization in Quantum Machine Learning with Margins
  88. Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Sensor Fusion
  89. Slowing Down Forgetting in Continual Learning
  90. Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI
  91. EVQAScore: A Fine-grained Metric for Video Question Answering Data Quality Evaluation
  92. BuckTales : A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes
  93. Multi-scale Frequency Enhancement Network for Blind Image Deblurring
  94. WassFFed: Wasserstein Fair Federated Learning
  95. Classification of residential and non-residential buildings based on satellite data using deep learning
  96. GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs
  97. Multi-Modal interpretable automatic video captioning
  98. AI-Native Multi-Access Future Networks -- The REASON Architecture
  99. Effect sizes as a statistical feature-selector-based learning to detect breast cancer
  100. Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering
  101. Veri-Car: Towards Open-world Vehicle Information Retrieval
  102. Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
  103. Enhancing Phishing Detection through Feature Importance Analysis and Explainable AI: A Comparative Study of CatBoost, XGBoost, and EBM Models
  104. Scientific machine learning in ecological systems: A study on the predator-prey dynamics
  105. A Unified Multi-Task Learning Architecture for Hate Detection Leveraging User-Based Information
  106. Evaluating Large Language Models on Financial Report Summarization: An Empirical Study
  107. Fast and Efficient Transformer-based Method for Bird's Eye View Instance Prediction
  108. 1-800-SHARED-TASKS @ NLU of Devanagari Script Languages: Detection of Language, Hate Speech, and Targets using LLMs
  109. Generative Feature Training of Thin 2-Layer Networks
  110. Evaluating Synthetic Data Generation for Domain Generalization in Fetal Brain MRI Segmentation
  111. Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications
  112. Spatially Constrained Transformer with Efficient Global Relation Modelling for Spatio-Temporal Prediction
  113. Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression
  114. Optimized Quality of Service prediction in FSO Links over South Africa using Ensemble Learning
  115. Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs
  116. Large Language Model in Medical Informatics: Direct Classification and Enhanced Text Representations for Automatic ICD Coding
  117. Generative midtended cognition and Artificial Intelligence. Thinging with thinging things
  118. JPEG AI Image Compression Visual Artifacts: Detection Methods and Dataset
  119. Predicting ionic conductivity in solids from the machine-learned potential energy landscape
  120. Structuring the Processing Frameworks for Data Stream Evaluation and Application
  121. LA4SR: illuminating the dark proteome with generative AI
  122. Evolving Efficient Genetic Encoding for Deep Spiking Neural Networks
  123. Large-scale moral machine experiment on large language models
  124. QuadWBG: Generalizable Quadrupedal Whole-Body Grasping
  125. MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecasting
  126. SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking
  127. Machine vision-aware quality metrics for compressed image and video assessment
  128. Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks
  129. A Text Classification Model Combining Adversarial Training with Pre-trained Language Model and neural networks: A Case Study on Telecom Fraud Incident Texts
  130. Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis
  131. PDC & DM-SFT: A Road for LLM SQL Bug-Fix Enhancing
  132. Research on an intelligent fault diagnosis method for nuclear power plants based on ETCN-SSA combined algorithm
  133. Precision Glass Thermoforming Assisted by Neural Networks
  134. LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes
  135. SynStitch: a Self-Supervised Learning Network for Ultrasound Image Stitching Using Synthetic Training Pairs and Indirect Supervision
  136. KLCBL: An Improved Police Incident Classification Model
  137. Neuromodulated Meta-Learning
  138. Dispersion based Recurrent Neural Network Model for Methane Monitoring in Albertan Tailings Ponds
  139. Dockformer: A transformer-based molecular docking paradigm for large-scale virtual screening
  140. Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback
  141. Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data
  142. Reverse Prompt Engineering
  143. On the Principles of ReLU Networks with One Hidden Layer
  144. Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision
  145. GTA-Net: An IoT-Integrated 3D Human Pose Estimation System for Real-Time Adolescent Sports Posture Correction
  146. Script-Strategy Aligned Generation: Aligning LLMs with Expert-Crafted Dialogue Scripts and Therapeutic Strategies for Psychotherapy
  147. Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models
  148. Real-time Monitoring and Analysis of Track and Field Athletes Based on Edge Computing and Deep Reinforcement Learning Algorithm
  149. Shallow Signed Distance Functions for Kinematic Collision Bodies
  150. Truth, beauty, and goodness in grand unification: a machine learning approach
  151. DiffSR: Learning Radar Reflectivity Synthesis via Diffusion Model from Satellite Observations
  152. Anytime Probabilistically Constrained Provably Convergent Online Belief Space Planning
  153. Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
  154. United Domain Cognition Network for Salient Object Detection in Optical Remote Sensing Images
  155. Track Any Peppers: Weakly Supervised Sweet Pepper Tracking Using VLMs
  156. HomoMatcher: Dense Feature Matching Results with Semi-Dense Efficiency by Homography Estimation
  157. Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
  158. S'eparation en composantes structures, textures et bruit d'une image, apport de l'utilisation des contourlettes
  159. METRIC: a complete methodology for performances evaluation of automatic target Detection, Recognition and Tracking algorithms in infrared imagery
  160. Autonomous Droplet Microfluidic Design Framework with Large Language Models
  161. Shedding Light on Problems with Hyperbolic Graph Learning
  162. High-Frequency Enhanced Hybrid Neural Representation for Video Compression
  163. What Should Baby Models Read? Exploring Sample-Efficient Data Composition on Model Performance
  164. Adversarial Detection with a Dynamically Stable System
  165. Learning from Different Samples: A Source-free Framework for Semi-supervised Domain Adaptation
  166. Bridge: A Unified Framework to Knowledge Graph Completion via Language Models and Knowledge Representation
  167. An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning
  168. Renaissance: Investigating the Pretraining of Vision-Language Encoders
  169. Machine learning-enabled velocity model building with uncertainty quantification
  170. Quantum Policy Gradient in Reproducing Kernel Hilbert Space
  171. A Novel Combined Data-Driven Approach for Electricity Theft Detection
  172. Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data
  173. Predicting Country Instability Using Bayesian Deep Learning and Random Forest
  174. Model Editing for LLMs4Code: How Far are We?
  175. scMEDAL for the interpretable analysis of single-cell transcriptomics data with batch effect visualization using a deep mixed effects autoencoder
  176. Inductive Graph Few-shot Class Incremental Learning