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Exploiting Class Similarity for Machine Learning with Confidence Labels
  and Projective Loss Functions

Exploiting Class Similarity for Machine Learning with Confidence Labels and Projective Loss Functions

25 March 2021
Gautam Rajendrakumar Gare
J. Galeotti
ArXivPDFHTML

Papers citing "Exploiting Class Similarity for Machine Learning with Confidence Labels and Projective Loss Functions"

8 / 8 papers shown
Title
Learning Soft Labels via Meta Learning
Learning Soft Labels via Meta Learning
Nidhi Vyas
Shreyas Saxena
T. Voice
NoLa
54
30
0
20 Sep 2020
Deep Self-Learning From Noisy Labels
Deep Self-Learning From Noisy Labels
Jiangfan Han
Ping Luo
Xiaogang Wang
NoLa
34
280
0
06 Aug 2019
When Does Label Smoothing Help?
When Does Label Smoothing Help?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
98
1,931
0
06 Jun 2019
Learning to Learn from Noisy Labeled Data
Learning to Learn from Noisy Labeled Data
Junnan Li
Yongkang Wong
Qi Zhao
Mohan Kankanhalli
NoLa
31
331
0
13 Dec 2018
AutoAugment: Learning Augmentation Policies from Data
AutoAugment: Learning Augmentation Policies from Data
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
81
1,764
0
24 May 2018
Learning to Reweight Examples for Robust Deep Learning
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OOD
NoLa
101
1,419
0
24 Mar 2018
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
179
8,030
0
13 Aug 2016
Simultaneous Deep Transfer Across Domains and Tasks
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng
Judy Hoffman
Trevor Darrell
Kate Saenko
OOD
40
1,367
0
08 Oct 2015
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