Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2206.01106
Cited By
Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space
Neural Information Processing Systems (NeurIPS), 2022
2 June 2022
Diane Oyen
Michal Kucer
N. Hengartner
H. Singh
NoLa
OOD
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space"
6 / 6 papers shown
Frequency-Invariant Beamforming in Elevation and Azimuth via Autograd and Concentric Circular Microphone Arrays
Jorge Ortigoso-Narro
Jose A. Belloch
Maximo Morales-Cespedes
Maximo Cobos
169
0
0
24 Nov 2025
A Comparative Analysis of Influence Signals for Data Debugging
Nikolaos Myrtakis
Ioannis Tsamardinos
V. Christophides
TDI
241
0
0
13 Jun 2025
Revealing economic facts: LLMs know more than they say
Marcus Buckmann
Quynh Anh Nguyen
Edward Hill
310
3
0
13 May 2025
Regretful Decisions under Label Noise
International Conference on Learning Representations (ICLR), 2025
Sujay Nagaraj
Yang Liu
Flavio du Pin Calmon
Berk Ustun
NoLa
495
3
0
12 Apr 2025
Label Noise: Ignorance Is Bliss
Neural Information Processing Systems (NeurIPS), 2024
Yilun Zhu
Jianxin Zhang
Aditya Gangrade
Clayton Scott
NoLa
287
8
0
31 Oct 2024
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?
Bidur Khanal
Binod Bhattarai
Bishesh Khanal
Cristian A. Linte
NoLa
161
1
0
15 Jan 2024
1
