learning-to-reweight-examples

Example weighting

Project implementing a method to improve deep learning model robustness by re-weighting examples with noisy labels

Code for paper "Learning to Reweight Examples for Robust Deep Learning"

GitHub

269 stars
10 watching
52 forks
Language: Python
last commit: over 7 years ago

Related projects:

RepositoryDescriptionStars
xjtushujun/meta-weight-netThis is an implementation of a meta-learning algorithm to address class imbalance issues in deep learning models with noisy labels.284
xiaoboxia/classification-with-noisy-labels-by-importance-reweightingAn implementation of a method to improve classification accuracy on noisy labels by reweighting their importance39
tdeboissiere/deeplearningimplementationsA collection of implementations of recent deep learning papers in Python1,814
uber/petastormEnables training and evaluation of deep learning models from Apache Parquet datasets in various machine learning frameworks1,805
google-research/noisystudentA semi-supervised learning method to improve the accuracy of machine learning models by using noisy teacher models and student models.755
uber/neuropodA unified interface to run deep learning models from multiple frameworks using C++ and Python.937
xiaoboxia/t-revisionA PyTorch implementation of a method for learning with noisy labels in deep neural networks97
uber-research/upsnetDevelops an instance segmentation and panoptic segmentation model for computer vision tasks.648
codingtrain/machine-learningA collection of resources and examples around machine learning for education and development954
ys-zong/vl-iclA benchmarking suite for multimodal in-context learning models31
mop/bierThis project implements a deep metric learning framework using an adversarial auxiliary loss to improve robustness.39
arunmallya/piggybackAdapting a single network to multiple tasks by learning to mask weights183
bsharchilev/influence_boostingThis repository implements methods to find influential training samples in Gradient Boosted Decision Trees ensembles67
uber-research/pplmAn implementation of a plug-and-play language model that allows users to steer the topic and attributes of large language models.1,132
xiaoboxia/cdrAn implementation of a PyTorch-based deep learning method to improve robustness against noisy labels in image classification tasks75