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Constrained Instance and Class Reweighting for Robust Learning under
  Label Noise

Constrained Instance and Class Reweighting for Robust Learning under Label Noise

9 November 2021
Abhishek Kumar
Ehsan Amid
    NoLa
ArXivPDFHTML

Papers citing "Constrained Instance and Class Reweighting for Robust Learning under Label Noise"

13 / 13 papers shown
Title
Adaptive Deviation Learning for Visual Anomaly Detection with Data
  Contamination
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination
Anindya Sundar Das
Guansong Pang
M. Bhuyan
36
0
0
14 Nov 2024
Distributionally Robust Post-hoc Classifiers under Prior Shifts
Distributionally Robust Post-hoc Classifiers under Prior Shifts
Jiaheng Wei
Harikrishna Narasimhan
Ehsan Amid
Wenjun Chu
Yang Liu
Abhishek Kumar
OOD
50
16
0
16 Sep 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust
  Optimization
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
Ramnath Kumar
Kushal Majmundar
Dheeraj M. Nagaraj
A. Suggala
ODL
29
6
0
15 Jun 2023
Dynamics-Aware Loss for Learning with Label Noise
Dynamics-Aware Loss for Learning with Label Noise
Xiu-Chuan Li
Xiaobo Xia
Fei Zhu
Tongliang Liu
Xu-Yao Zhang
Cheng-Lin Liu
NoLa
AI4CE
35
6
0
21 Mar 2023
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples
Vasilis Kontonis
Fotis Iliopoulos
Khoa Trinh
Cenk Baykal
Gaurav Menghani
Erik Vee
32
7
0
08 Feb 2023
Weighted Distillation with Unlabeled Examples
Weighted Distillation with Unlabeled Examples
Fotis Iliopoulos
Vasilis Kontonis
Cenk Baykal
Gaurav Menghani
Khoa Trinh
Erik Vee
14
12
0
13 Oct 2022
To Aggregate or Not? Learning with Separate Noisy Labels
To Aggregate or Not? Learning with Separate Noisy Labels
Jiaheng Wei
Zhaowei Zhu
Tianyi Luo
Ehsan Amid
Abhishek Kumar
Yang Liu
NoLa
41
37
0
14 Jun 2022
Detecting Label Errors by using Pre-Trained Language Models
Detecting Label Errors by using Pre-Trained Language Models
Derek Chong
Jenny Hong
Christopher D. Manning
NoLa
40
21
0
25 May 2022
Solving Inverse Problems with NerfGANs
Solving Inverse Problems with NerfGANs
Giannis Daras
Wenqing Chu
Abhishek Kumar
Dmitry Lagun
A. Dimakis
3DV
29
6
0
16 Dec 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels
To Smooth or Not? When Label Smoothing Meets Noisy Labels
Jiaheng Wei
Hangyu Liu
Tongliang Liu
Gang Niu
Masashi Sugiyama
Yang Liu
NoLa
32
69
0
08 Jun 2021
Correlated Input-Dependent Label Noise in Large-Scale Image
  Classification
Correlated Input-Dependent Label Noise in Large-Scale Image Classification
Mark Collier
Basil Mustafa
Efi Kokiopoulou
Rodolphe Jenatton
Jesse Berent
NoLa
181
53
0
19 May 2021
Attentional-Biased Stochastic Gradient Descent
Attentional-Biased Stochastic Gradient Descent
Q. Qi
Yi Tian Xu
R. L. Jin
W. Yin
Tianbao Yang
ODL
26
12
0
13 Dec 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
319
498
0
05 Mar 2020
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