Learning Not to Learn in the Presence of Noisy Labels

16 February 2020

Papers citing "Learning Not to Learn in the Presence of Noisy Labels"

6 / 6 papers shown

Title
Smoothly Giving up: Robustness for Simple Models Tyler Sypherd Nathan Stromberg Richard Nock Visar Berisha Lalitha Sankar 21 1 0 17 Feb 2023
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 34 4 0 08 Dec 2022
Dropout can Simulate Exponential Number of Models for Sample Selection Techniques RD Samsung 31 0 0 26 Feb 2022
Differentiable Learning Under Triage Nastaran Okati A. De Manuel Gomez Rodriguez 26 63 0 16 Mar 2021
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing Denghao Li Pablo Ortega Xia Wei Aldo A. Faisal 22 19 0 10 Mar 2021
An Investigation of how Label Smoothing Affects Generalization Blair Chen Liu Ziyin Zihao Wang Paul Pu Liang UQCV 21 17 0 23 Oct 2020