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CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with
  Noisy Labels

CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels

11 December 2023
Wanxing Chang
Ye-ling Shi
Jingya Wang
    OT
ArXivPDFHTML

Papers citing "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"

14 / 14 papers shown
Title
Learning Clustering-based Prototypes for Compositional Zero-shot Learning
Learning Clustering-based Prototypes for Compositional Zero-shot Learning
Hongyu Qu
Jianan Wei
Xiangbo Shu
Wenguan Wang
VLM
43
1
0
10 Feb 2025
SOOD++: Leveraging Unlabeled Data to Boost Oriented Object Detection
SOOD++: Leveraging Unlabeled Data to Boost Oriented Object Detection
Dingkang Liang
Wei Hua
Chunsheng Shi
Zhikang Zou
Xiaoqing Ye
Xiang Bai
37
2
0
01 Jul 2024
A New Robust Partial $p$-Wasserstein-Based Metric for Comparing
  Distributions
A New Robust Partial ppp-Wasserstein-Based Metric for Comparing Distributions
S. Raghvendra
Pouyan Shirzadian
Kaiyi Zhang
29
1
0
06 May 2024
SP$^2$OT: Semantic-Regularized Progressive Partial Optimal Transport for
  Imbalanced Clustering
SP2^22OT: Semantic-Regularized Progressive Partial Optimal Transport for Imbalanced Clustering
Chuyu Zhang
Hui Ren
Xuming He
OT
29
0
0
04 Apr 2024
Global and Local Prompts Cooperation via Optimal Transport for Federated
  Learning
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
Hongxia Li
Wei Huang
Jingya Wang
Ye-ling Shi
FedML
VLM
19
19
0
29 Feb 2024
P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced
  Clustering
P2^22OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
Chuyu Zhang
Hui Ren
Xuming He
20
6
0
17 Jan 2024
InfoOT: Information Maximizing Optimal Transport
InfoOT: Information Maximizing Optimal Transport
Ching-Yao Chuang
Stefanie Jegelka
David Alvarez-Melis
OT
23
12
0
06 Oct 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
Haobo Wang
Mingxuan Xia
Yixuan Li
Yuren Mao
Lei Feng
Gang Chen
J. Zhao
37
36
0
21 Sep 2022
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Yidong Wang
Hao Chen
Qiang Heng
Wenxin Hou
Yue Fan
...
Marios Savvides
T. Shinozaki
Bhiksha Raj
Bernt Schiele
Xing Xie
175
251
0
15 May 2022
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
213
848
0
15 Oct 2021
Consistency Regularization Can Improve Robustness to Label Noise
Consistency Regularization Can Improve Robustness to Label Noise
Erik Englesson
Hossein Azizpour
NoLa
54
19
0
04 Oct 2021
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed
  Self-Training
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
Kai Sheng Tai
Peter Bailis
Gregory Valiant
OT
35
43
0
17 Feb 2021
Curriculum Learning for Reinforcement Learning Domains: A Framework and
  Survey
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
132
451
0
10 Mar 2020
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
303
488
0
05 Mar 2020
1