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2104.01493
Cited By
Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond
3 April 2021
Negin Majidi
Ehsan Amid
Hossein Talebi
Manfred K. Warmuth
NoLa
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Papers citing
"Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond"
15 / 15 papers shown
Title
Mirror Descent Using the Tempesta Generalized Multi-parametric Logarithms
Andrzej Cichocki
19
0
0
08 Jun 2025
HAM: A Hyperbolic Step to Regulate Implicit Bias
Tom Jacobs
Advait Gadhikar
Celia Rubio-Madrigal
R. Burkholz
74
0
0
03 Jun 2025
Energy-based Preference Optimization for Test-time Adaptation
Yewon Han
Seoyun Yang
Taesup Kim
TTA
278
0
0
26 May 2025
Mirror Descent and Novel Exponentiated Gradient Algorithms Using Trace-Form Entropies and Deformed Logarithms
Andrzej Cichocki
Toshihisa Tanaka
S. Cruces
102
1
0
11 Mar 2025
Generalized Exponentiated Gradient Algorithms Using the Euler Two-Parameter Logarithm
Andrzej Cichocki
74
2
0
21 Feb 2025
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination
Anindya Sundar Das
Guansong Pang
M. Bhuyan
61
1
0
14 Nov 2024
FPR Estimation for Fraud Detection in the Presence of Class-Conditional Label Noise
Justin Tittelfitz
64
0
0
04 Aug 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
Ramnath Kumar
Kushal Majmundar
Dheeraj M. Nagaraj
A. Suggala
ODL
64
6
0
15 Jun 2023
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples
Vasilis Kontonis
Fotis Iliopoulos
Khoa Trinh
Cenk Baykal
Gaurav Menghani
Erik Vee
78
8
0
08 Feb 2023
Weighted Distillation with Unlabeled Examples
Fotis Iliopoulos
Vasilis Kontonis
Cenk Baykal
Gaurav Menghani
Khoa Trinh
Erik Vee
61
12
0
13 Oct 2022
To Aggregate or Not? Learning with Separate Noisy Labels
Jiaheng Wei
Zhaowei Zhu
Tianyi Luo
Ehsan Amid
Abhishek Kumar
Yang Liu
NoLa
77
40
0
14 Jun 2022
A Robust Optimization Method for Label Noisy Datasets Based on Adaptive Threshold: Adaptive-k
Enes Dedeoglu
Himmet Toprak Kesgin
M. Amasyalı
NoLa
44
2
0
26 Mar 2022
Constrained Instance and Class Reweighting for Robust Learning under Label Noise
Abhishek Kumar
Ehsan Amid
NoLa
61
20
0
09 Nov 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels
Jiaheng Wei
Hangyu Liu
Tongliang Liu
Gang Niu
Masashi Sugiyama
Yang Liu
NoLa
135
72
0
08 Jun 2021
Attentional-Biased Stochastic Gradient Descent
Q. Qi
Yi Tian Xu
Rong Jin
W. Yin
Tianbao Yang
ODL
84
12
0
13 Dec 2020
1