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Generating Accurate Pseudo-labels in Semi-Supervised Learning and
  Avoiding Overconfident Predictions via Hermite Polynomial Activations

Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations

12 September 2019
Vishnu Suresh Lokhande
Songwong Tasneeyapant
Abhay Venkatesh
Sathya Ravi
Vikas Singh
ArXivPDFHTML

Papers citing "Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations"

5 / 5 papers shown
Title
Hadamard product in deep learning: Introduction, Advances and Challenges
Hadamard product in deep learning: Introduction, Advances and Challenges
Grigorios G. Chrysos
Yongtao Wu
Razvan Pascanu
Philip Torr
V. Cevher
AAML
98
0
0
17 Apr 2025
Learnable polynomial, trigonometric, and tropical activations
Learnable polynomial, trigonometric, and tropical activations
Ismail Khalfaoui-Hassani
Stefan Kesselheim
64
0
0
03 Feb 2025
Augmenting Deep Classifiers with Polynomial Neural Networks
Augmenting Deep Classifiers with Polynomial Neural Networks
Grigorios G. Chrysos
Markos Georgopoulos
Jiankang Deng
Jean Kossaifi
Yannis Panagakis
Anima Anandkumar
19
18
0
16 Apr 2021
SaaS: Speed as a Supervisor for Semi-supervised Learning
SaaS: Speed as a Supervisor for Semi-supervised Learning
Safa Cicek
Alhussein Fawzi
Stefano Soatto
BDL
30
19
0
02 May 2018
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
183
1,185
0
30 Nov 2014
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