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Approximating Instance-Dependent Noise via Instance-Confidence Embedding

Approximating Instance-Dependent Noise via Instance-Confidence Embedding

25 March 2021
Yivan Zhang
Masashi Sugiyama
ArXivPDFHTML

Papers citing "Approximating Instance-Dependent Noise via Instance-Confidence Embedding"

3 / 3 papers shown
Title
Curriculum Loss: Robust Learning and Generalization against Label
  Corruption
Curriculum Loss: Robust Learning and Generalization against Label Corruption
Yueming Lyu
Ivor W. Tsang
NoLa
47
170
0
24 May 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,150
0
16 Jan 2013
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