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robust-machine-learning

Here are 11 public repositories matching this topic...

cgnorthcutt / cleanlab

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The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and models.

machine-learning machine-learning-algorithms weak-supervision semi-supervised-learning unsupervised-learning data-cleaning clean-data learning-with-confident-examples noisy-data data-centric confident-learning latent-estimation robust-machine-learning learning-with-noisy-labels

Updated Jun 6, 2021
Python

weijiaheng / Advances-in-Label-Noise-Learning

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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 Jul 9, 2021

tonyduan / rs4a

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Randomized Smoothing of All Shapes and Sizes (ICML 2020).

machine-learning adversarial-examples robust-machine-learning randomized-smoothing

Updated Jul 23, 2020
Jupyter Notebook

huanzhang12 / ATLA_robust_RL

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Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework

reinforcement-learning deep-reinforcement-learning reinforcement-learning-algorithms adversarial-examples robust-machine-learning robust-reinforcement-learning

Updated Jan 26, 2021
Python

suinleelab / cxr_adv

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Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"

machine-learning radiology adversarial-machine-learning robust-machine-learning

Updated Jan 14, 2020
Python

bbenligiray / rml-cnn

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Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification

semi-supervised-learning multi-label-classification loss-functions robust-machine-learning

Updated Dec 30, 2019
Python

Shihab-Shahriar / scikit-clean

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A collection of algorithms for detecting and handling label noise

machine-learning weak-supervision data-cleaning noise-detection noisy-data robust-machine-learning noisy-labels

Updated Feb 19, 2021
Python

mahossam / Explain2Attack

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Implementation of the paper: Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability (ICPR 2020)

nlp text-classification transfer-learning interpretability adversarial-attacks interpretable-machine-learning robust-machine-learning

Updated Oct 21, 2020
Python

Aggrathon / rslc

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Robust Single-Linkage Clustering

python rust data-science machine-learning r clustering machine-learning-algorithms hierarchical-clustering robust-machine-learning single-linkage

Updated Oct 2, 2020
Rust

git-disl / FUSE

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Robust Object Detection Fusion Against Deception

object-detection adversarial-machine-learning robust-machine-learning adversarial-defense

Updated May 31, 2021

fau-masters-collected-works-cgarbin / machine-learning-but-not-understanding

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In machine learning, what are the machines "learning", if anything at all? This repository explores some of the concepts from the book "Artificial Intelligence, a guide for thinking humans", by Melaine Mitchell.

machine-learning neural-network concepts image-classification robust-machine-learning

Updated Jul 18, 2021
Jupyter Notebook

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