Robust Collaborative Learning with Noisy Labels

Robust Collaborative Learning with Noisy Labels

26 December 2020

Papers citing "Robust Collaborative Learning with Noisy Labels"

18 / 18 papers shown

Title
Robust Training with Ensemble Consensus Jisoo Lee Sae-Young Chung NoLa 41 28 0 22 Oct 2019
SELF: Learning to Filter Noisy Labels with Self-Ensembling Philipp Kratzer Marc Toussaint Thi Phuong Nhung Ngo T. Nguyen Jim Mainprice Thomas Brox NoLa 83 316 0 04 Oct 2019
Deep Self-Learning From Noisy Labels Jiangfan Han Ping Luo Xiaogang Wang NoLa 66 281 0 06 Aug 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 94,891 0 11 Oct 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 110 2,069 0 18 Apr 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 98 1,453 0 14 Dec 2017
Learning to Learn from Weak Supervision by Full Supervision Mostafa Dehghani Aliaksei Severyn S. Rothe J. Kamps NoLa 64 57 0 30 Nov 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 188 2,401 0 10 Jul 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 125 1,818 0 16 Jun 2017
Decoupling "when to update" from "how to update" Eran Malach Shai Shalev-Shwartz NoLa 83 567 0 08 Jun 2017
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks Arash Vahdat NoLa 89 298 0 31 May 2017
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification Jan Deriu Aurelien Lucchi V. D. Luca Aliaksei Severyn Simon Müller Mark Cieliebak Thomas Hofmann Martin Jaggi 56 133 0 07 Mar 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 185 2,560 0 07 Oct 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 108 2,006 0 14 Jun 2016
Data Programming: Creating Large Training Sets, Quickly Alexander Ratner Christopher De Sa Sen Wu Daniel Selsam Christopher Ré 183 716 0 25 May 2016
What Objective Does Self-paced Learning Indeed Optimize? Deyu Meng Qian Zhao Lu Jiang 71 77 0 19 Nov 2015
Learning with Symmetric Label Noise: The Importance of Being Unhinged Brendan van Rooyen A. Menon Robert C. Williamson NoLa 164 311 0 28 May 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,386 0 04 Sep 2014