Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision

1 November 2017

Papers citing "Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision"

8 / 8 papers shown

Title
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling Boshen Zhang Yuxi Li Yuanpeng Tu Jinlong Peng Yabiao Wang Cunlin Wu Yanghua Xiao Cairong Zhao NoLa 38 6 0 23 Aug 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios G. Carneiro 28 2 0 17 Aug 2022
XPASC: Measuring Generalization in Weak Supervision by Explainability and Association Luisa März Ehsaneddin Asgari Fabienne Braune Franziska Zimmermann Benjamin Roth 25 0 0 03 Jun 2022
Denoising Multi-Source Weak Supervision for Neural Text Classification Wendi Ren Yinghao Li Hanting Su David Kartchner Cassie S. Mitchell Chao Zhang NoLa 36 70 0 09 Oct 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 24 964 0 16 Jul 2020
Suppressing Uncertainties for Large-Scale Facial Expression Recognition Kai Wang Xiaojiang Peng Jianfei Yang Shijian Lu Yu Qiao 46 482 0 24 Feb 2020
Learning Not to Learn in the Presence of Noisy Labels Liu Ziyin Blair Chen Ru Wang Paul Pu Liang Ruslan Salakhutdinov Louis-Philippe Morency Masahito Ueda NoLa 26 18 0 16 Feb 2020
Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots Yuehua Wu Wei Wu Zhoujun Li M. Zhou 27 38 0 07 May 2018