robust-learning topic

A curated list of resources for Learning with Noisy Labels

subeeshvasu

[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark

JieyuZ2

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

shengliu66

A curated (most recent) list of resources for Learning with Noisy Labels

weijiaheng

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

HanxunH

AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise

chenpf1025

AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels

chenpf1025

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

mims-harvard

A curated list of resources for model inversion attack (MIA).

AndrewZhou924

ch-shin