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2004.12289
Cited By
Deep k-NN for Noisy Labels
26 April 2020
Dara Bahri
Heinrich Jiang
Maya R. Gupta
NoLa
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Papers citing
"Deep k-NN for Noisy Labels"
19 / 19 papers shown
Title
An Embedding is Worth a Thousand Noisy Labels
Francesco Di Salvo
Sebastian Doerrich
Ines Rieger
Christian Ledig
NoLa
75
0
0
26 Aug 2024
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity
F. Wani
Maria Sofia Bucarelli
Fabrizio Silvestri
NoLa
37
3
0
16 Mar 2023
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels
Sumyeong Ahn
Se-Young Yun
NoLa
33
2
0
01 Dec 2022
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels
Chuang Zhang
Li Shen
Jian Yang
Chen Gong
NoLa
27
5
0
27 Jun 2022
Context-based Virtual Adversarial Training for Text Classification with Noisy Labels
Do-Myoung Lee
Yeachan Kim
Chang-gyun Seo
NoLa
21
2
0
29 May 2022
Learning with Neighbor Consistency for Noisy Labels
Ahmet Iscen
Jack Valmadre
Anurag Arnab
Cordelia Schmid
NoLa
41
75
0
04 Feb 2022
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise
Chen Feng
Georgios Tzimiropoulos
Ioannis Patras
NoLa
27
18
0
22 Nov 2021
Detecting Corrupted Labels Without Training a Model to Predict
Zhaowei Zhu
Zihao Dong
Yang Liu
NoLa
149
62
0
12 Oct 2021
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images
Zhenzhen Wang
Carla Saoud
A. Popel
Aaron W. James
Aleksander S. Popel
Jeremias Sulam
21
21
0
22 Sep 2021
kNet: A Deep kNN Network To Handle Label Noise
Itzik Mizrahi
S. Avidan
NoLa
21
0
0
20 Jul 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption
Dara Bahri
Heinrich Jiang
Yi Tay
Donald Metzler
SSL
21
164
0
29 Jun 2021
Deep Learning Through the Lens of Example Difficulty
R. Baldock
Hartmut Maennel
Behnam Neyshabur
47
156
0
17 Jun 2021
FINE Samples for Learning with Noisy Labels
Taehyeon Kim
Jongwoo Ko
Sangwook Cho
J. Choi
Se-Young Yun
NoLa
38
103
0
23 Feb 2021
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels
Zhaowei Zhu
Yiwen Song
Yang Liu
NoLa
21
91
0
10 Feb 2021
Locally Adaptive Label Smoothing for Predictive Churn
Dara Bahri
Heinrich Jiang
NoLa
43
8
0
09 Feb 2021
A Topological Filter for Learning with Label Noise
Pengxiang Wu
Songzhu Zheng
Mayank Goswami
Dimitris N. Metaxas
Chao Chen
NoLa
30
112
0
09 Dec 2020
Multi-Objective Interpolation Training for Robustness to Label Noise
Diego Ortego
Eric Arazo
Paul Albert
Noel E. O'Connor
Kevin McGuinness
NoLa
30
112
0
08 Dec 2020
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks
Jinyuan Jia
Yupei Liu
Xiaoyu Cao
Neil Zhenqiang Gong
AAML
40
73
0
07 Dec 2020
A Survey of Label-noise Representation Learning: Past, Present and Future
Bo Han
Quanming Yao
Tongliang Liu
Gang Niu
Ivor W. Tsang
James T. Kwok
Masashi Sugiyama
NoLa
24
159
0
09 Nov 2020
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