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Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment

Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment

5 July 2023
Qijie Ding
Jie Yin
Daokun Zhang
Junbin Gao
ArXivPDFHTML

Papers citing "Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment"

6 / 6 papers shown
Title
Seeking Certainty In Uncertainty: Dual-Stage Unified Framework Solving
  Uncertainty in Dynamic Facial Expression Recognition
Seeking Certainty In Uncertainty: Dual-Stage Unified Framework Solving Uncertainty in Dynamic Facial Expression Recognition
Haoran Wang
Xinji Mai
Zeng Tao
Xuan Tong
Junxiong Lin
...
Shaoqi Yan
Qing Zhao
Ziheng Zhou
Shuyong Gao
Wenqiang Zhang
36
1
0
24 Jun 2024
P-NAL: an Effective and Interpretable Entity Alignment Method
P-NAL: an Effective and Interpretable Entity Alignment Method
Chuanhao Xu
Jingwei Cheng
Fu Zhang
21
1
0
18 Apr 2024
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
191
640
0
15 Oct 2021
A Survey on Ensemble Learning under the Era of Deep Learning
A Survey on Ensemble Learning under the Era of Deep Learning
Yongquan Yang
Haijun Lv
Ning Chen
OOD
16
88
0
21 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
184
426
0
15 Jan 2021
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
240
579
0
23 Mar 2020
1