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TitleStatusHype
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active InferenceCode0
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image SegmentationCode1
An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems—0
Enhancing Data Quality through Self-learning on Imbalanced Financial Risk Data—0
Contrastive Federated Learning with Tabular Data Silos—0
Large-Scale Few-Shot Classification with Semi-supervised Hierarchical k-Probabilistic PCAs—0
EndoOmni: Zero-Shot Cross-Dataset Depth Estimation in Endoscopy by Robust Self-Learning from Noisy LabelsCode1
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio SensorsCode1
Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems—0
Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems—0
FiSTECH: Financial Style Transfer to Enhance Creativity without Hallucinations in LLMs—0
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based HeuristicCode0
A Semi-supervised Fake News Detection using Sentiment Encoding and LSTM with Self-Attention—0
Fighting Sampling Bias: A Framework for Training and Evaluating Credit Scoring Models—0
Fine-grained large-scale content recommendations for MSX sellers—0
Can machine learning solve the challenge of adaptive learning and the individualization of learning paths? A field experiment in an online learning platform—0
An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate SegmentationCode1
Research on Autonomous Robots Navigation based on Reinforcement Learning—0
USLC: Universal Self-Learning Control via Physical Performance Policy-Optimization Neural Network—0
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and BenchmarkingCode1
Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models?Code0
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks—0
Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems—0
SSLChange: A Self-supervised Change Detection Framework Based on Domain AdaptationCode1
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
AquaIntellect: A Semantic Self-learning Framework for Underwater Internet of Things Connectivity—0
Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction—0
Dynamic Against Dynamic: An Open-set Self-learning FrameworkCode0
Training all-mechanical neural networks for task learning through in situ backpropagation—0
Toward Self-Improvement of LLMs via Imagination, Searching, and CriticizingCode1
Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers—0
Navigating the Landscape of Hint Generation Research: From the Past to the Future—0
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image SegmentationCode1
Towards Reverse-Engineering the Brain: Brain-Derived Neuromorphic Computing Approach with Photonic, Electronic, and Ionic Dynamicity in 3D integrated circuits—0
Self-learning Canonical Space for Multi-view 3D Human Pose Estimation—0
Mathematics of multi-agent learning systems at the interface of game theory and artificial intelligence—0
KnowAgent: Knowledge-Augmented Planning for LLM-Based AgentsCode3
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder—0
Structure-Based Drug Design via 3D Molecular Generative Pre-training and Sampling—0
Into the Unknown: Self-Learning Large Language ModelsCode1
SPO: Sequential Monte Carlo Policy OptimisationCode3
Intent Profiling and Translation Through Emergent Communication—0
Unveiling the Power of Self-supervision for Multi-view Multi-human Association and TrackingCode1
Robust Semi-Supervised Learning for Self-learning Open-World ClassesCode0
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting—0
A universal approximation theorem for nonlinear resistive networksCode1
Safety-Enhanced Self-Learning for Optimal Power Converter Control—0
Corporate Bankruptcy Prediction with Domain-Adapted BERT—0
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher LearningCode1
Self-Improving for Zero-Shot Named Entity Recognition with Large Language ModelsCode1
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