Robustness to Label Noise Depends on the Shape of the Noise Distribution
in Feature Space

Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space

Neural Information Processing Systems (NeurIPS), 2022

2 June 2022

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Papers citing "Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space"

6 / 6 papers shown

Title
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 148 0 0 24 Nov 2025
A Comparative Analysis of Influence Signals for Data Debugging Nikolaos Myrtakis Ioannis Tsamardinos V. Christophides TDI 212 0 0 13 Jun 2025
Revealing economic facts: LLMs know more than they say Marcus Buckmann Quynh Anh Nguyen Edward Hill 286 3 0 13 May 2025
Regretful Decisions under Label NoiseInternational Conference on Learning Representations (ICLR), 2025 Sujay Nagaraj Yang Liu Flavio du Pin Calmon Berk Ustun NoLa 470 3 0 12 Apr 2025
Label Noise: Ignorance Is BlissNeural Information Processing Systems (NeurIPS), 2024 Yilun Zhu Jianxin Zhang Aditya Gangrade Clayton Scott NoLa 251 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 150 1 0 15 Jan 2024