Semi-supervised learning based on generative adversarial network: a
comparison between good GAN and bad GAN approach

Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach

16 May 2019

Zichen Wang

Papers citing "Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach"

5 / 5 papers shown

Title
CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic Abdelkader El Mahdaouy Abdellah El Mekki Kabil Essefar Abderrahman Skiredj Ismail Berrada 19 10 0 16 Jun 2022
Voxel-wise Adversarial Semi-supervised Learning for Medical Image Segmentation Chae-Eun Lee H. Park Y. Shin Minyoung Chung 39 8 0 14 May 2022
STAR: Noisy Semi-Supervised Transfer Learning for Visual Classification H. Zunair Y. Gobeil Samuel Mercier A. Ben Hamza 30 3 0 18 Aug 2021
Semi-supervised Learning using Adversarial Training with Good and Bad Samples Wenyuan Li Zichen Wang Yuguang Yue Jiayun Li W. Speier Mingyuan Zhou C. Arnold GAN 21 22 0 18 Oct 2019
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