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9 search results found

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

[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark

Gnnguard ⭐ 22

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

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

Robustnessaccuracy ⭐ 16

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

[Re] Can gradient clipping mitigate label noise? (ML Reproducibility Challenge 2020)

Wdro_local_perturbation ⭐ 7

Principled learning method for Wasserstein distributionally robust optimization with local perturbations

Rda4robustssl ⭐ 7

"RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning" by Yue Duan (ECCV 2022)

Black Box Adversarial Reprogramming ⭐ 5

Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (ICML 2020)

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