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MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent
  Unsupervised Learning Using Mutual Information Maximization

MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization

30 November 2020
Hanchen Xie
Mohamed E. Hussein
Aram Galstyan
Wael Abd-Almageed
    SSL
ArXivPDFHTML

Papers citing "MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization"

6 / 6 papers shown
Title
Deep Dive into Semi-Supervised ELBO for Improving Classification
  Performance
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance
Fahim Faisal Niloy
M. A. Amin
Akm Mahbubur Rahman
A. Ali
DRL
25
0
0
29 Aug 2021
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep
  Semi-Supervised Classification
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification
P. Sellars
Angelica I. Aviles-Rivero
Carola-Bibiane Schönlieb
23
8
0
08 Jun 2021
Risk Bounds for Learning via Hilbert Coresets
Risk Bounds for Learning via Hilbert Coresets
Spencer Douglas
Piyush Kumar
R. Prasanth
18
0
0
29 Mar 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,681
0
09 Mar 2017
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
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
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
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