Meta-Semi: A Meta-learning Approach for Semi-supervised Learning

Meta-Semi: A Meta-learning Approach for Semi-supervised Learning

5 July 2020

Yulin Wang

Jiayi Guo

Gao Huang

Papers citing "Meta-Semi: A Meta-learning Approach for Semi-supervised Learning"

10 / 10 papers shown

Title
Reinforcement Learning-Guided Semi-Supervised Learning Marzi Heidari Hanping Zhang Yuhong Guo OffRL 34 0 0 02 May 2024
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces Tomoharu Iwata Atsutoshi Kumagai 24 2 0 09 Nov 2023
Betty: An Automatic Differentiation Library for Multilevel Optimization Sang Keun Choe W. Neiswanger P. Xie Eric P. Xing AI4CE 31 30 0 05 Jul 2022
Glance and Focus Networks for Dynamic Visual Recognition Gao Huang Yulin Wang Kangchen Lv Haojun Jiang Wenhui Huang Pengfei Qi S. Song 3DH 76 49 0 09 Jan 2022
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search Jay P. Gala P. Xie 29 1 0 01 Dec 2021
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 19 155 0 21 Jul 2020
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 199 243 0 14 Jun 2018
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,684 0 09 Mar 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017