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robust-learning

Here are 22 public repositories matching this topic...

subeeshvasu / Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

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

Updated May 3, 2024

weijiaheng / Advances-in-Label-Noise-Learning

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

deep-neural-networks deep-learning conference paper weakly-supervised-learning robustness international-conference noisy-data label-noise robust-machine-learning noisy-labels noisy-label-learning learning-with-noisy-labels unreliable-labels robust-learning learning-with-label-noise

Updated Oct 18, 2024

shengliu66 / ELR

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

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

Updated May 22, 2023
Python

JieyuZ2 / wrench

[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark

nlp machine-learning deep-learning weak-supervision dataset benchmark-framework sequence-labeling weakly-supervised-learning data-programming robust-learning data-centric-ai

Updated Feb 13, 2024
Python

AndrewZhou924 / Awesome-model-inversion-attack

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

deep-learning model-inversion-attacks robust-learning model-inversion-attack

Updated Nov 18, 2024

HanxunH / Active-Passive-Losses

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

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

Updated Jul 5, 2024
Python

mims-harvard / GNNGuard

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

deep-learning graph-convolutional-networks adversarial-attacks graph-neural-networks robust-learning

Updated Jul 6, 2023
Python

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)

machine-learning black-box-optimization social-good robust-learning icml-2020 limited-transfer-learning medical-imaging-classification

Updated Nov 14, 2020
Python

chenpf1025 / IDN

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

deep-neural-networks noisy-data label-noise noisy-labels robust-learning instance-dependent-noise

Updated Jun 9, 2021
Python

monk1337 / Awesome-Robust-Machine-Learning

A curated list of Robust Machine Learning papers/articles and recent advancements.

Updated Oct 13, 2022

chenpf1025 / RobustnessAccuracy

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

deep-neural-networks validation noisy-data label-noise noisy-labels early-stopping robust-learning

Updated Jun 9, 2021
Python

ykwon0407 / wdro_local_perturbation

Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)

robust-learning wdro

Updated Mar 24, 2023
Python

ch-shin / awesome-data-poisoning

awesome awesome-list awesome-lists backdoor-attacks robust-learning data-poisoning data-poisoning-attacks

Updated Sep 21, 2022

zealscott / SGDL

Source code for Self-Guided Learning to Denoise for Robust Recommendation. SIGIR 2022.

deep-learning pytorch recommender-system implicit-feedback denoising graph-neural-networks robust-learning sigir2022

Updated Jul 10, 2022
Python

dmizr / phuber

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

pytorch label-noise gradient-clipping robust-learning

Updated Sep 3, 2024
Python

NJUyued / RDA4RobustSSL

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

machine-learning deep-learning pytorch semi-supervised-learning robust-machine-learning entropy-regularizer robust-learning semi-supervised-classification distribution-shift eccv2022

Updated Aug 8, 2024
Python

nthu-datalab / Runtime-Masking-and-Cleansing

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 Mar 25, 2023
Jupyter Notebook

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

Updated Jun 23, 2021
MATLAB

fchamroukhi / MEteorits

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

sduzpf / Awesome_Papers_on_Adversarial_Attacks_and_Defenses_via_Image_Perturbations

Adversarial Attacks and Defenses via Image perturbations

convolutional-neural-networks defense adversarial-examples data-corruption adversarial-perturbations adversarial-training adversarial-attack diffusion-models robust-learning vision-transformer vision-language-model

Updated Nov 4, 2024

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