Exponentiated Gradient Reweighting for Robust Training Under Label Noise
and Beyond

Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond

3 April 2021

Manfred K. Warmuth

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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