Semi-supervised Learning with In-domain Pre-training and Deep Co-training

Bhaskarjyoti Das; Harshith Mohan Kumar; J. Yoo; Mohammed Zayd Jamadar

doi:10.1007/978-981-19-4960-9_49

ScienceGate Book Chapters

BOOK-CHAPTER

Semi-supervised Learning with In-domain Pre-training and Deep Co-training

Bhaskarjyoti Das Harshith Mohan Kumar J. Yoo Mohammed Zayd Jamadar

Year: 2022 Lecture notes in networks and systems Pages: 627-640 Publisher: Springer International Publishing

DOI: 10.1007/978-981-19-4960-9_49

Get Full-Text PDF Get Analytical Report

Keywords:

Artificial intelligence Computer science Co-training Transfer of learning Scarcity Machine learning Domain (mathematical analysis) Task (project management) Training (meteorology) Dual (grammatical number) Labeled data Training set Semi-supervised learning Deep learning Supervised learning Artificial neural network Engineering Mathematics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.30

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Semi-supervised Learning with In-domain Pre-training and Deep Co-training

Metrics

Topics

Related Documents

Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation

Semi-supervised Learning with Multi-Head Co-Training

Semi-supervised learning combining co-training with active learning

Semi-Supervised Classification with Co-Training for Deep Web

Semi-Supervised Training in Deep Learning Acoustic Model