robust-learning

There are 1 repository under robust-learning topic.

subeeshvasu / Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
deep-neural-networks label-noise noisy-data noisy-labels robust-learning unreliable-labels
2573
weijiaheng / Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
conference deep-learning deep-neural-networks international-conference label-noise learning-with-label-noise learning-with-noisy-labels noisy-data noisy-label-learning noisy-labels paper robust-learning robust-machine-learning robustness unreliable-labels weakly-supervised-learning
627
shengliu66 / ELR
Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
deep-learning noisy-labels robust-learning statistical-learning
Language:Python 287
JieyuZ2 / wrench
[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
weak-supervision weakly-supervised-learning data-programming data-centric-ai benchmark-framework machine-learning dataset nlp sequence-labeling deep-learning robust-learning
Language:Python 213
HanxunH / Active-Passive-Losses
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
deep-learning deep-neural-networks icml icml-2020 label-noise noisy-data noisy-labels pytorch robust-learning unreliable-labels
Language:Python 128
AndrewZhou924 / Awesome-model-inversion-attack
A curated list of resources for model inversion attack (MIA).
deep-learning model-inversion-attack model-inversion-attacks robust-learning
105
mims-harvard / GNNGuard
Defending graph neural networks against adversarial attacks (NeurIPS 2020)
adversarial-attacks graph-neural-networks robust-learning graph-convolutional-networks deep-learning
Language:Python 56
yunyuntsai / Black-box-Adversarial-Reprogramming
Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (ICML 2020)
icml-2020 black-box-optimization machine-learning limited-transfer-learning medical-imaging-classification robust-learning social-good
Language:Python 34
chenpf1025 / IDN
AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
noisy-labels label-noise noisy-data deep-neural-networks robust-learning instance-dependent-noise
Language:Python 33
chenpf1025 / RobustnessAccuracy
AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
noisy-labels label-noise noisy-data deep-neural-networks robust-learning validation early-stopping
Language:Python 23
ykwon0407 / wdro_local_perturbation
Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)
wdro robust-learning
Language:Python 22
monk1337 / Awesome-Robust-Machine-Learning
A curated list of Robust Machine Learning papers/articles and recent advancements.
bias-detection concept-shift covariate-shift data-shift deep-learning distribution-shift fairness fairness-ml label-shift machine-learning ood robust-machine-learning awesome-list fairness-ai fairness-testing machine-learning-bias robust-learning federated-learning healthcare healthcare-federated-learning
20
ch-shin / awesome-data-poisoning
awesome awesome-list awesome-lists data-poisoning data-poisoning-attacks backdoor-attacks robust-learning
19
zealscott / SGDL
Source code for Self-Guided Learning to Denoise for Robust Recommendation. SIGIR 2022.
deep-learning denoising graph-neural-networks implicit-feedback pytorch recommender-system robust-learning sigir2022
Language:Python 16
dmizr / phuber
[Re] Can gradient clipping mitigate label noise? (ML Reproducibility Challenge 2020)
label-noise robust-learning gradient-clipping pytorch
Language:Python 14
NJUyued / RDA4RobustSSL
"RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning" by Yue Duan (ECCV 2022)
deep-learning distribution-shift entropy-regularizer machine-learning pytorch robust-learning robust-machine-learning semi-supervised-classification semi-supervised-learning eccv2022
Language:Python 9
nthu-datalab / Runtime-Masking-and-Cleansing
Code for "Adversarial Robustness via Runtime Masking and Cleansing" (ICML 2020)
icml-2020 adversarial-defense adversarial-attacks adversarial-learning robust-learning neural-network convolutional-neural-networks security tensorflow2
Language:Jupyter Notebook 8
Low_Pass_ReLU
tahmid0007 / Low_Pass_ReLU
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 activation-functions relu-layer distorted-images image-corruption robust-learning data-augmentation
Language:MATLAB 4
fchamroukhi / MEteorits
Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS
mixture-of-experts neural-networks robust-learning skewed-data t-distribution skew-normal skew-t em-algorithm prediction non-linear-regression clustering statistical-learning statistical-inference unsupervised-learning artificial-intelligence
Language:R 3
XinshaoAmosWang / XinshaoAmosWang.github.io
Xinshao Wang, Ex-Postdoc and Ex-Visit Scholar@University of Oxford, Ex-Senior Researcher@ZenithAI
example-weighting fundamental-deep-learning loss-functions overfitting robust-learning robust-optimisation sampling underfitting
Language:SCSS 1
e-wxy / NL-Sparse-Regularization
Robust learning on ISIC 2018, based on Learning with Noisy Labels via Sparse Regularization (ICCV 2021).
isic-2018 noisy-labels robust-learning
Language:Jupyter Notebook 0