← Learning Paradigms
Machine Learning › Learning Paradigms ›

Semi-Supervised Learning

714 directly classified papers

Papers per year

Papers

Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data ACL 2023
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training EACL 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels AAAI 2023
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud AAAI 2023
An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data AAAI 2023
fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation AAAI 2023
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation ACL 2023
Pruning-Guided Curriculum Learning for Semi-Supervised Semantic Segmentation WACV 2023
NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset SEMEVAL 2023
Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images IJCAI 2023
Violin: Virtual Overbridge Linking for Enhancing Semi-supervised Learning on Graphs with Limited Labels IJCAI 2023
Progressive Label Propagation for Semi-Supervised Multi-Dimensional Classification IJCAI 2023
Personalized Acoustic Scene Classification in Ultra-low Power Embedded Devices Using Privacy-preserving Data Augmentation INTERSPEECH 2023
Comparing Self-Supervised Pre-Training and Semi-Supervised Training for Speech Recognition in Languages with Weak Language Models INTERSPEECH 2023
NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning INTERSPEECH 2023
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories ICML 2023
Towards Unbiased Training in Federated Open-world Semi-supervised Learning ICML 2023
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation ICML 2023
Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs ICML 2023
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis ICML 2023
Parametric Information Maximization for Generalized Category Discovery ICCV 2023
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism. ICML 2023
FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning ICML 2023
Revisiting Pseudo-Label for Single-Positive Multi-Label Learning ICML 2023
Alternately Optimized Graph Neural Networks ICML 2023