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Topic: "robust-learning"

subeeshvasu/Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

Size: 346 KB - Last synced at: 6 days ago - Pushed at: 12 months ago - Stars: 2,678 - Forks: 354

weijiaheng/Advances-in-Label-Noise-Learning

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

Size: 528 KB - Last synced at: 26 days ago - Pushed at: 6 months ago - Stars: 684 - Forks: 62

shengliu66/ELR

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

Language: Python - Size: 4.94 MB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 288 - Forks: 29

JieyuZ2/wrench

[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark

Language: Python - Size: 1.81 MB - Last synced at: 26 days ago - Pushed at: about 1 year ago - Stars: 224 - Forks: 33

HanxunH/Active-Passive-Losses

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

Language: Python - Size: 4.76 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 123 - Forks: 28

AndrewZhou924/Awesome-model-inversion-attack

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

Size: 401 KB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 112 - Forks: 7

mims-harvard/GNNGuard

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

Language: Python - Size: 12 MB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 59 - Forks: 15

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)

Language: Python - Size: 563 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 34 - Forks: 4

monk1337/Awesome-Robust-Machine-Learning

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

Size: 456 KB - Last synced at: 13 days ago - Pushed at: over 2 years ago - Stars: 29 - Forks: 0

chenpf1025/IDN

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

Language: Python - Size: 13.6 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 26 - Forks: 8

ch-shin/awesome-data-poisoning

Size: 34.2 KB - Last synced at: 12 days ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 0

chenpf1025/RobustnessAccuracy

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

Language: Python - Size: 22.7 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 20 - Forks: 2

ykwon0407/wdro_local_perturbation

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

Language: Python - Size: 16.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 2

zealscott/SGDL

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

Language: Python - Size: 866 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 15 - Forks: 8

dmizr/phuber

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

Language: Python - Size: 1.32 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 6

NJUyued/RDA4RobustSSL

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

Language: Python - Size: 10 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 9 - Forks: 0

nthu-datalab/Runtime-Masking-and-Cleansing

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

Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 0

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.

Language: MATLAB - Size: 2.34 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 1

fchamroukhi/MEteorits

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

Language: R - Size: 28.3 MB - Last synced at: 6 days ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 2

XinshaoAmosWang/XinshaoAmosWang.github.io

Xinshao Wang, Ex-Postdoc and Ex-Visit Scholar@University of Oxford, Ex-Senior Researcher@ZenithAI

Language: SCSS - Size: 50.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

sduzpf/Awesome-Papers-on-Adversarial-Attacks-and-Defenses-via-Image-Perturabtions

Attacks and Defenses via Image perturbations

Size: 281 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

e-wxy/NL-Sparse-Regularization Fork of hitcszx/lnl_sr

Robust learning on ISIC 2018, based on Learning with Noisy Labels via Sparse Regularization (ICCV 2021).

Language: Jupyter Notebook - Size: 373 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Related Topics
deep-learning 9 noisy-labels 7 label-noise 6 noisy-data 5 deep-neural-networks 5 machine-learning 4 pytorch 4 icml-2020 3 unreliable-labels 3 robust-machine-learning 3 adversarial-attacks 2 statistical-learning 2 distribution-shift 2 convolutional-neural-networks 2 awesome-list 2 graph-neural-networks 2 weakly-supervised-learning 2 benchmark-framework 1 unsupervised-learning 1 t-distribution 1 statistical-inference 1 skewed-data 1 skew-t 1 skew-normal 1 prediction 1 non-linear-regression 1 neural-networks 1 mixture-of-experts 1 em-algorithm 1 healthcare-federated-learning 1 clustering 1 artificial-intelligence 1 social-good 1 medical-imaging-classification 1 label-shift 1 limited-transfer-learning 1 black-box-optimization 1 machine-learning-bias 1 robustness 1 ood 1 covariate-shift 1 data-shift 1 concept-shift 1 bias-detection 1 graph-convolutional-networks 1 fairness 1 semi-supervised-learning 1 fairness-ai 1 fairness-ml 1 semi-supervised-classification 1 entropy-regularizer 1 fairness-testing 1 eccv2022 1 federated-learning 1 healthcare 1 model-inversion-attacks 1 model-inversion-attack 1 weak-supervision 1 sequence-labeling 1 nlp 1 dataset 1 data-programming 1 data-centric-ai 1 classification 1 activation-functions 1 tensorflow2 1 security 1 neural-network 1 adversarial-learning 1 adversarial-defense 1 validation 1 early-stopping 1 icml 1 sigir2022 1 recommender-system 1 implicit-feedback 1 denoising 1 instance-dependent-noise 1 gradient-clipping 1 underfitting 1 sampling 1 robust-optimisation 1 overfitting 1 loss-functions 1 fundamental-deep-learning 1 example-weighting 1 wdro 1 isic-2018 1 paper 1 noisy-label-learning 1 learning-with-noisy-labels 1 learning-with-label-noise 1 international-conference 1 conference 1 data-poisoning-attacks 1 data-poisoning 1 backdoor-attacks 1 awesome-lists 1 awesome 1 vision-transformer 1