-
Updated
Sep 21, 2022
robust-learning
Here are 21 public repositories matching this topic...
Robust learning on ISIC 2018, based on Learning with Noisy Labels via Sparse Regularization (ICCV 2021).
-
Updated
Jun 2, 2022 - Jupyter Notebook
Code for "Adversarial Robustness via Runtime Masking and Cleansing" (ICML 2020)
-
Updated
Mar 25, 2023 - Jupyter Notebook
Xinshao Wang, Ex-Postdoc and Ex-Visit Scholar@University of Oxford, Ex-Senior Researcher@ZenithAI
-
Updated
Oct 27, 2023 - SCSS
"RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning" by Yue Duan (ECCV 2022)
-
Updated
Apr 19, 2024 - Python
A curated list of Robust Machine Learning papers/articles and recent advancements.
-
Updated
Oct 13, 2022
Corruption Robust Image Classification with a new Activation Function. Our proposed Activation Function is inspired by the Human Visual System and a classic signal processing fix for data corruption.
-
Updated
Jun 23, 2021 - MATLAB
AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
-
Updated
Jun 9, 2021 - Python
Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS
-
Updated
Feb 13, 2020 - R
Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)
-
Updated
Mar 24, 2023 - Python
Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (ICML 2020)
-
Updated
Nov 14, 2020 - Python
[Re] Can gradient clipping mitigate label noise? (ML Reproducibility Challenge 2020)
-
Updated
Aug 21, 2021 - Python
A curated list of resources for model inversion attack (MIA).
-
Updated
Mar 18, 2024
AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
-
Updated
Jun 9, 2021 - Python
Source code for Self-Guided Learning to Denoise for Robust Recommendation. SIGIR 2022.
-
Updated
Jul 10, 2022 - Python
Defending graph neural networks against adversarial attacks (NeurIPS 2020)
-
Updated
Jul 6, 2023 - Python
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
-
Updated
Jul 31, 2020 - Python
Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
-
Updated
May 22, 2023 - Python
[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
-
Updated
Feb 13, 2024 - Python
A curated (most recent) list of resources for Learning with Noisy Labels
-
Updated
Feb 29, 2024
Improve this page
Add a description, image, and links to the robust-learning topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the robust-learning topic, visit your repo's landing page and select "manage topics."