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Learning from a Complementary-label Source Domain: Theory and Algorithms

Learning from a Complementary-label Source Domain: Theory and Algorithms

4 August 2020
Yiyang Zhang
Feng Liu
Zhen Fang
Bo Yuan
Guangquan Zhang
Jie Lu
ArXivPDFHTML

Papers citing "Learning from a Complementary-label Source Domain: Theory and Algorithms"

7 / 7 papers shown
Title
Learning with Complementary Labels Revisited: The
  Selected-Completely-at-Random Setting Is More Practical
Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
Wei Wang
Takashi Ishida
Yu-Jie Zhang
Gang Niu
Masashi Sugiyama
22
2
0
27 Nov 2023
Reduction from Complementary-Label Learning to Probability Estimates
Reduction from Complementary-Label Learning to Probability Estimates
Weipeng Lin
Hsuan-Tien Lin
13
9
0
20 Sep 2022
A Framework for Supervised Heterogeneous Transfer Learning using Dynamic
  Distribution Adaptation and Manifold Regularization
A Framework for Supervised Heterogeneous Transfer Learning using Dynamic Distribution Adaptation and Manifold Regularization
Md. Geaur Rahman
M. Islam
23
1
0
27 Aug 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
Haoang Chi
Feng Liu
Wenjing Yang
L. Lan
Tongliang Liu
Bo Han
William Cheung
James T. Kwok
31
27
0
11 Jun 2021
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
Jiahua Dong
Yang Cong
Gan Sun
Bingtao Ma
Lichen Wang
3DPC
CLL
35
32
0
16 Dec 2020
Transfer Adaptation Learning: A Decade Survey
Transfer Adaptation Learning: A Decade Survey
Lei Zhang
Xinbo Gao
OOD
45
43
0
12 Mar 2019
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
224
3,190
0
30 Oct 2016
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