Enhancing Self-Training Methods

18 January 2023

Aswathnarayan Radhakrishnan

Papers citing "Enhancing Self-Training Methods"

21 / 21 papers shown

Title
Class-Aware Contrastive Semi-Supervised Learning Fan Yang Kai Wu Shuyi Zhang Guannan Jiang Yong Liu Feng Zheng Wei Zhang Chengjie Wang Long Zeng 63 100 0 04 Mar 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 189 5,226 0 10 Jan 2022
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup Siyuan Li Zicheng Liu Zedong Wang Di Wu Zihan Liu Stan Z. Li 87 27 0 30 Nov 2021
Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image Data Ayaan Haque A. Imran Adam S. Wang D. Terzopoulos 52 9 0 25 Oct 2021
Scaling Vision Transformers Xiaohua Zhai Alexander Kolesnikov N. Houlsby Lucas Beyer ViT 141 1,098 0 08 Jun 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 84 57 0 01 Apr 2021
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 105 300 0 09 Jun 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Junnan Li R. Socher Guosheng Lin NoLa 107 1,034 0 18 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 387 18,897 0 13 Feb 2020
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 315 2,393 0 11 Nov 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 260 3,505 0 30 Sep 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 152 764 0 27 Aug 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 121 843 0 08 Aug 2019
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 262 244 0 14 Jun 2018
Exploring the Limits of Weakly Supervised Pretraining D. Mahajan Ross B. Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin R. Bharambe Laurens van der Maaten VLM 205 1,370 0 02 May 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 304 9,811 0 25 Oct 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,871 0 14 Jun 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 189 2,567 0 07 Oct 2016
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning Mehdi S. M. Sajjadi Mehran Javanmardi Tolga Tasdizen BDL 92 1,116 0 14 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 353 8,002 0 23 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015