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Meta Objective Guided Disambiguation for Partial Label Learning

Meta Objective Guided Disambiguation for Partial Label Learning

26 August 2022
B. Zou
Ming-Kun Xie
Sheng-Jun Huang
ArXivPDFHTML

Papers citing "Meta Objective Guided Disambiguation for Partial Label Learning"

11 / 11 papers shown
Title
Decompositional Generation Process for Instance-Dependent Partial Label
  Learning
Decompositional Generation Process for Instance-Dependent Partial Label Learning
Congyu Qiao
Ning Xu
Xin Geng
153
82
0
08 Apr 2022
Leveraged Weighted Loss for Partial Label Learning
Leveraged Weighted Loss for Partial Label Learning
Hongwei Wen
Jingyi Cui
H. Hang
Jiabin Liu
Yisen Wang
Zhouchen Lin
53
100
0
10 Jun 2021
Provably Consistent Partial-Label Learning
Provably Consistent Partial-Label Learning
Lei Feng
Jiaqi Lv
Bo Han
Miao Xu
Gang Niu
Xin Geng
Bo An
Masashi Sugiyama
59
148
0
17 Jul 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
155
3,545
0
21 Jan 2020
Learning with Multiple Complementary Labels
Learning with Multiple Complementary Labels
Lei Feng
Takuo Kaneko
Bo Han
Gang Niu
Bo An
Masashi Sugiyama
64
97
0
30 Dec 2019
Complementary-Label Learning for Arbitrary Losses and Models
Complementary-Label Learning for Arbitrary Losses and Models
Takashi Ishida
Gang Niu
A. Menon
Masashi Sugiyama
VLM
47
112
0
10 Oct 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
139
1,424
0
24 Mar 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
266
8,876
0
25 Aug 2017
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
811
11,894
0
09 Mar 2017
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
181
2,554
0
07 Oct 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
330
7,980
0
23 May 2016
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