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Co-learning: Learning from Noisy Labels with Self-supervision

Co-learning: Learning from Noisy Labels with Self-supervision

5 August 2021
Cheng Tan
Jun-Xiong Xia
Lirong Wu
Stan Z. Li
    NoLa
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Papers citing "Co-learning: Learning from Noisy Labels with Self-supervision"

14 / 14 papers shown
Title
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
Kuan Zhang
Chengliang Chai
Jingzhe Xu
Chi Zhang
Ye Yuan
Guoren Wang
Lei Cao
NoLa
56
0
0
01 May 2025
Combating Semantic Contamination in Learning with Label Noise
Combating Semantic Contamination in Learning with Label Noise
Wenxiao Fan
Kan Li
NoLa
175
0
0
16 Dec 2024
Learning to Model Graph Structural Information on MLPs via Graph
  Structure Self-Contrasting
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
Lirong Wu
Haitao Lin
Guojiang Zhao
Cheng Tan
Stan Z. Li
28
0
0
09 Sep 2024
RobGC: Towards Robust Graph Condensation
RobGC: Towards Robust Graph Condensation
Xinyi Gao
Hongzhi Yin
Tong Chen
Guanhua Ye
Wentao Zhang
Bin Cui
AAML
53
3
0
19 Jun 2024
USTEP: Spatio-Temporal Predictive Learning under A Unified View
USTEP: Spatio-Temporal Predictive Learning under A Unified View
Cheng Tan
Jue Wang
Zhangyang Gao
Siyuan Li
Stan Z. Li
38
1
0
09 Oct 2023
SemiReward: A General Reward Model for Semi-supervised Learning
SemiReward: A General Reward Model for Semi-supervised Learning
Siyuan Li
Weiyang Jin
Zedong Wang
Fang Wu
Zicheng Liu
Cheng Tan
Stan Z. Li
32
9
0
04 Oct 2023
Eye tracking guided deep multiple instance learning with dual
  cross-attention for fundus disease detection
Eye tracking guided deep multiple instance learning with dual cross-attention for fundus disease detection
Hongyang Jiang
Jingqi Huang
Chen Tang
Xiaoqin Zhang
Mengdi Gao
Jiang-Dong Liu
27
2
0
25 Apr 2023
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot
  Antibody Designer
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer
Cheng Tan
Zhangyang Gao
Lirong Wu
Jun-Xiong Xia
Jiangbin Zheng
Xihong Yang
Yue Liu
Bozhen Hu
Stan Z. Li
31
14
0
21 Apr 2023
Tackling Instance-Dependent Label Noise with Dynamic Distribution
  Calibration
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration
Manyi Zhang
Yuxin Ren
Zihao W. Wang
C. Yuan
21
3
0
11 Oct 2022
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node
  Classification
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification
Lirong Wu
Jun-Xiong Xia
Haitao Lin
Zhangyang Gao
Zicheng Liu
Guojiang Zhao
Stan Z. Li
61
6
0
05 Oct 2022
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive
  Learning
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
Cheng Tan
Zhangyang Gao
Lirong Wu
Yongjie Xu
Jun-Xiong Xia
Siyuan Li
Stan Z. Li
34
107
0
24 Jun 2022
Hyperspherical Consistency Regularization
Hyperspherical Consistency Regularization
Cheng Tan
Zhangyang Gao
Lirong Wu
Siyuan Li
Stan Z. Li
33
25
0
02 Jun 2022
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
Jun-Xiong Xia
Lirong Wu
Ge Wang
Jintao Chen
Stan Z. Li
25
120
0
05 Oct 2021
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
310
497
0
05 Mar 2020
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