robust-learning

Star

Here are 8 public repositories matching this topic...

subeeshvasu / Awesome-Learning-with-Label-Noise

Star

A curated list of resources for Learning with Noisy Labels

deep-neural-networks noisy-data label-noise noisy-labels unreliable-labels robust-learning

Updated Aug 21, 2020

ykwon0407 / wdro_local_perturbation

Star

Principled learning method for Wasserstein distributionally robust optimization with local perturbations

robust-learning wdro

Updated Jun 22, 2020
Python

shengliu66 / ELR

Star

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

deep-learning statistical-learning noisy-labels robust-learning

Updated Sep 4, 2020
Python

HanxunHuangLemonBear / Active-Passive-Losses

Star

Code for ICML2020 paper [“Normalized Loss Functions for Deep Learning with Noisy Labels"] https://arxiv.org/abs/2006.13554

deep-neural-networks deep-learning pytorch icml noisy-data label-noise noisy-labels unreliable-labels robust-learning icml-2020

Updated Jul 31, 2020
Python

nthu-datalab / Runtime-Masking-and-Cleansing

Star

Code for "Adversarial Robustness via Runtime Masking and Cleansing" (ICML 2020)

security neural-network convolutional-neural-networks adversarial-learning adversarial-attacks tensorflow2 adversarial-defense robust-learning icml-2020

Updated Jul 16, 2020
Jupyter Notebook

XinshaoAmosWang / XinshaoAmosWang.github.io

Star

Xinshao Wang, Postdoc, University of Oxford.

sampling loss-functions overfitting underfitting robust-optimisation robust-learning fundamental-deep-learning example-weighting

Updated Sep 6, 2020
HTML

tahmid0007 / Low_Pass_ReLU

Star

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.

cnn classification data-augmentation relu-layer activation-functions robust-learning distorted-images image-corruption

Updated Jul 21, 2020
MATLAB

fchamroukhi / MEteorits

Star

Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS

clustering statistical-learning prediction artificial-intelligence statistical-inference neural-networks skew-t unsupervised-learning em-algorithm non-linear-regression t-distribution mixture-of-experts skewed-data robust-learning skew-normal

Updated Feb 13, 2020
R

Improve this page

Add a description, image, and links to the robust-learning topic page so that developers can more easily learn about it.

Curate this topic

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."

Learn more