ActiveMatch: End-to-end Semi-supervised Active Representation Learning

6 October 2021

Papers citing "ActiveMatch: End-to-end Semi-supervised Active Representation Learning"

6 / 6 papers shown

Title
Co-Training with Active Contrastive Learning and Meta-Pseudo-Labeling on 2D Projections for Deep Semi-Supervised Learning David Aparco-Cardenas Jancarlo F. Gomes Alexandre X. Falcão Pedro J. de Rezende 46 0 0 25 Apr 2025
SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation Wanwei He Yinpei Dai Min Yang Jian Sun Fei Huang Luo Si Yongbin Li 25 60 0 14 Sep 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang Yibing Zhan Xinchao Wang Min-Gyoo Song K. Nahrstedt 24 11 0 24 Jul 2022
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning Byoungjip Kim Jinho Choo Yeong-Dae Kwon Seongho Joe Seungjai Min Youngjune Gwon SSL 33 52 0 16 Jan 2021
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan Ö. Arik L. Davis Tomas Pfister 165 196 0 16 Oct 2019
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017