← Learning Types
Machine Learning › Learning Types ›

Semi-Supervised Learning

2986 directly classified papers

Papers per year

Papers

Extremely Weakly-supervised Text Classification with Wordsets Mining and Sync-Denoising NAACL 2024
UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking NAACL 2024
Exploring the Challenges of Behaviour Change Language Classification: A Study on Semi-Supervised Learning and the Impact of Pseudo-Labelled Data COLING 2024
TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering NIPS 2024
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning NIPS 2024
A Dual-View Approach to Classifying Radiology Reports by Co-Training COLING 2024
Interactive Deep Clustering via Value Mining NIPS 2024
Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images NIPS 2024
Resource Acquisition for Understudied Languages: Extracting Wordlists from Dictionaries for Computer-assisted Language Comparison COLING 2024
GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks NIPS 2024
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise NIPS 2024
Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning NIPS 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors NIPS 2024
High-order Joint Constituency and Dependency Parsing COLING 2024
MentalHelp: A Multi-Task Dataset for Mental Health in Social Media COLING 2024
LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning IJCAI 2024
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment NIPS 2024
Trustworthy Machine Learning under Imperfect Data IJCAI 2024
A Survey of Data-Efficient Graph Learning IJCAI 2024
Uncertainty-aware Fine-tuning of Segmentation Foundation Models NIPS 2024
SuperST: Superficial Self-Training for Few-Shot Text Classification COLING 2024
Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data NIPS 2024
Human in the Loop: How to Effectively Create Coherent Topics by Manually Labeling Only a Few Documents per Class COLING 2024
MakeSinger: A Semi-Supervised Training Method for Data-Efficient Singing Voice Synthesis via Classifier-free Diffusion Guidance INTERSPEECH 2024
Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph NIPS 2024