May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels

26 August 2024

Papers citing "May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels"

24 / 24 papers shown

Title
Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks Lorenzo Bonicelli Angelo Porrello Stefano Vincenzi C. Ippoliti F. Iapaolo A. Conte Simone Calderara 64 3 0 07 Sep 2022
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries Jihwan Bang Hyun-woo Koh Seulki Park Hwanjun Song Jung-Woo Ha Jonghyun Choi CLL 63 38 0 29 Mar 2022
Class-Incremental Continual Learning into the eXtended DER-verse Matteo Boschini Lorenzo Bonicelli Pietro Buzzega Angelo Porrello Simone Calderara CLL BDL 71 140 0 03 Jan 2022
New Insights on Reducing Abrupt Representation Change in Online Continual Learning Lucas Caccia Rahaf Aljundi Nader Asadi Tinne Tuytelaars Joelle Pineau Eugene Belilovsky CLL 50 200 0 11 Apr 2021
Rethinking Experience Replay: a Bag of Tricks for Continual Learning Pietro Buzzega Matteo Boschini Angelo Porrello Simone Calderara CLL 43 150 0 12 Oct 2020
Local Temperature Scaling for Probability Calibration Zhipeng Ding Xu Han Peirong Liu Marc Niethammer 92 80 0 12 Aug 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels Sheng Liu Jonathan Niles-Weed N. Razavian C. Fernandez‐Granda NoLa 99 565 0 30 Jun 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati Simone Calderara BDL CLL 78 911 0 15 Apr 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 345 514 0 05 Mar 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Junnan Li R. Socher Guosheng Lin NoLa 105 1,029 0 18 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 155 3,549 0 21 Jan 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 88 541 0 05 Dec 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 83 315 0 04 Oct 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 93 1,256 0 30 May 2019
Unsupervised Label Noise Modeling and Loss Correction Eric Arazo Sanchez Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 78 611 0 25 Apr 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 107 733 0 12 Dec 2018
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 181 1,478 0 11 Dec 2018
Towards Robust Evaluations of Continual Learning Sebastian Farquhar Y. Gal CLL 87 307 0 24 May 2018
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 120 1,816 0 16 Jun 2017
WebVision Challenge: Visual Learning and Understanding With Web Data Wen Li Limin Wang Wei Li E. Agustsson Jesse Berent Abhinav Gupta Rahul Sukthankar Luc Van Gool VLM 45 19 0 16 May 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 352 7,498 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 137 3,754 0 23 Nov 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 336 4,625 0 10 Nov 2016
Identifying Mislabeled Training Data C. Brodley M. Friedl 107 969 0 01 Jun 2011