EnAET: A Self-Trained framework for Semi-Supervised and Supervised
Learning with Ensemble Transformations

EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations

21 November 2019

Guo-Jun Qi

Papers citing "EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations"

12 / 12 papers shown

Title
On the Importance of Asymmetry for Siamese Representation Learning Tianlin Li Haoqi Fan Yuandong Tian Daisuke Kihara Xinlei Chen SSL 30 51 0 01 Apr 2022
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy Lars Schmarje Johannes Brunger M. Santarossa Simon-Martin Schroder R. Kiko Reinhard Koch 47 17 0 13 Oct 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Armand Joulin Nicolas Ballas Michael G. Rabbat SSL 29 147 0 28 Apr 2021
Contrastive Learning with Stronger Augmentations Tianlin Li Guo-Jun Qi CLL 22 221 0 15 Apr 2021
Self-Supervised Learning for Semi-Supervised Temporal Action Proposal Xiang Wang Shiwei Zhang Zhiwu Qing Yuanjie Shao Changxin Gao Nong Sang 33 68 0 07 Apr 2021
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization Jizong Peng M. Pedersoli Christian Desrosiers SSL 27 21 0 08 Mar 2021
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations H. Feng Kezhi Kong Minghao Chen Tianye Zhang Minfeng Zhu Wei Chen VLM DRL 42 24 0 21 Nov 2020
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search Zhichao Lu Kalyanmoy Deb E. Goodman W. Banzhaf Vishnu Boddeti 28 144 0 20 Jul 2020
Pseudo-Representation Labeling Semi-Supervised Learning Song-Bo Yang Tian-li Yu 27 3 0 31 May 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 262 659 0 23 Mar 2020
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 208 243 0 14 Jun 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 273 1,275 0 06 Mar 2017