An Empirical Study and Analysis on Open-Set Semi-Supervised Learning

19 January 2021

Papers citing "An Empirical Study and Analysis on Open-Set Semi-Supervised Learning"

6 / 6 papers shown

Title
Detecting Corrupted Labels Without Training a Model to Predict Zhaowei Zhu Zihao Dong Yang Liu NoLa 149 62 0 12 Oct 2021
On Data-Augmentation and Consistency-Based Semi-Supervised Learning Atin Ghosh Alexandre Hoang Thiery 73 20 0 18 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 241 509 0 15 Jan 2021
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 256 656 0 23 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,375 0 09 Mar 2020
Content Aware Neural Style Transfer Rujie Yin GAN 20 30 0 18 Jan 2016