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Investigating Why Contrastive Learning Benefits Robustness Against Label Noise
International Conference on Machine Learning (ICML), 2022
29 January 2022
Yihao Xue
Kyle Whitecross
Baharan Mirzasoleiman
SSL
NoLa
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Papers citing
"Investigating Why Contrastive Learning Benefits Robustness Against Label Noise"
27 / 27 papers shown
Leveraging Adversarial Learning for Pathological Fidelity in Virtual Staining
José Teixeira
Pascal Klöckner
D. Montezuma
Melis Erdal Cesur
João Fraga
H. Horlings
Jaime S. Cardoso
Sara P. Oliveira
128
1
0
24 Nov 2025
Learning Representations Through Contrastive Neural Model Checking
Vladimir Krsmanovic
Matthias Cosler
Mohamed Ghanem
Bernd Finkbeiner
250
0
0
02 Oct 2025
TransDiffuser: Diverse Trajectory Generation with Decorrelated Multi-modal Representation for End-to-end Autonomous Driving
Xuefeng Jiang
Yuan Ma
Pengxiang Li
Leimeng Xu
Xin Wen
Kun Zhan
Zhongpu Xia
Fu Liu
Xianpeng Lang
Sheng Sun
DiffM
497
2
0
14 May 2025
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy Data
AAAI Conference on Artificial Intelligence (AAAI), 2025
Weiran Pan
Wei Wei
Feida Zhu
Yong Deng
NoLa
1.2K
5
0
24 Apr 2025
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
The Web Conference (WWW), 2025
Zhixun Li
Dingshuo Chen
Tong Zhao
Ziyu Zhao
Hongrui Liu
Qing Cui
Jun Zhou
Jeffrey Xu Yu
SSL
439
7
0
10 Feb 2025
Multi-level Supervised Contrastive Learning
Naghmeh Ghanooni
Barbod Pajoum
Harshit Rawal
Sophie Fellenz
Vo Nguyen Le Duy
Marius Kloft
573
2
0
04 Feb 2025
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise
Jingyi Cui
Yi-Ge Zhang
Hengyu Liu
Yisen Wang
NoLa
317
4
0
03 Jan 2025
Label Noise: Ignorance Is Bliss
Neural Information Processing Systems (NeurIPS), 2024
Yilun Zhu
Jianxin Zhang
Aditya Gangrade
Clayton Scott
NoLa
385
10
0
31 Oct 2024
Investigating the Benefits of Projection Head for Representation Learning
International Conference on Learning Representations (ICLR), 2024
Yihao Xue
Eric Gan
Jiayi Ni
Siddharth Joshi
Baharan Mirzasoleiman
320
22
0
18 Mar 2024
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Huayi Zhou
Mukun Luo
Fei Jiang
Yue Ding
Hongtao Lu
Kui Jia
591
1
0
18 Feb 2024
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?
Bidur Khanal
Binod Bhattarai
Bishesh Khanal
Cristian A. Linte
NoLa
199
1
0
15 Jan 2024
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance
International Conference on Information and Knowledge Management (CIKM), 2023
Ling-Hao Chen
Yuanshuo Zhang
Taohua Huang
Liangcai Su
Zeyi Lin
Xi Xiao
Xiaobo Xia
Tongliang Liu
NoLa
351
16
0
13 Dec 2023
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
Neural Information Processing Systems (NeurIPS), 2023
Shengzhong Liu
Tomoyoshi Kimura
Dongxin Liu
Ruijie Wang
Jinyang Li
Suhas Diggavi
Mani B. Srivastava
Tarek Abdelzaher
AI4TS
284
53
0
30 Oct 2023
Group Robust Classification Without Any Group Information
Neural Information Processing Systems (NeurIPS), 2023
Christos Tsirigotis
João Monteiro
Pau Rodríguez
David Vazquez
Aaron Courville
OOD
320
26
0
28 Oct 2023
Understanding Contrastive Learning via Distributionally Robust Optimization
Neural Information Processing Systems (NeurIPS), 2023
Junkang Wu
Jiawei Chen
Jiancan Wu
Wentao Shi
Xiang Wang
Xiangnan He
433
44
0
17 Oct 2023
Enhancing GAN-Based Vocoders with Contrastive Learning Under Data-limited Condition
Haoming Guo
Seth Z. Zhao
Jiachen Lian
Gopala Anumanchipalli
Gerald Friedland
262
3
0
16 Sep 2023
Unsupervised Representation Learning for Time Series: A Review
Qianwen Meng
Hangwei Qian
Yong Liu
Yonghui Xu
Zhiqi Shen
Li-zhen Cui
AI4TS
278
30
0
03 Aug 2023
Rethinking Weak Supervision in Helping Contrastive Learning
International Conference on Machine Learning (ICML), 2023
Jingyi Cui
Weiran Huang
Yifei Wang
Yisen Wang
NoLa
SSL
325
19
0
07 Jun 2023
Graph Contrastive Learning under Heterophily via Graph Filters
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Wenhan Yang
Baharan Mirzasoleiman
262
10
0
11 Mar 2023
Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Fangda Li
Zhiqiang Hu
Wen Chen
A. Kak
222
63
0
10 Mar 2023
Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning
Han S. Lee
Haeil Lee
H. Hong
Junmo Kim
NoLa
243
0
0
01 Dec 2022
Cross-domain Transfer of defect features in technical domains based on partial target data
International Journal of Prognostics and Health Management (IJPHM), 2022
T. Schlagenhauf
Tim Scheurenbrand
228
2
0
24 Nov 2022
Robust Training for Speaker Verification against Noisy Labels
Interspeech (Interspeech), 2022
Zhihua Fang
Liang He
Hanhan Ma
Xiao-Min Guo
Lin Li
NoLa
330
6
0
22 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method
IEEE International Conference on Computer Vision (ICCV), 2022
Manyi Zhang
Xuyang Zhao
Jun Yao
Chun Yuan
Weiran Huang
414
35
0
20 Nov 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
ACM Computing Surveys (ACM CSUR), 2022
Andrea Tocchetti
Lorenzo Corti
Agathe Balayn
Mireia Yurrita
Philip Lippmann
Marco Brambilla
Jie Yang
368
33
0
17 Oct 2022
Self-supervised debiasing using low rank regularization
Computer Vision and Pattern Recognition (CVPR), 2022
Geon Yeong Park
Chanyong Jung
Sangmin Lee
Jong Chul Ye
Sang Wan Lee
CML
SSL
386
8
0
11 Oct 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection
Umar Khalid
Ashkan Esmaeili
Nazmul Karim
Nazanin Rahnavard
OODD
321
21
0
06 Apr 2022
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