noisy-data topic

A curated list of resources for Learning with Noisy Labels

subeeshvasu

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

cleanlab

Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks

google

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [2019]

wvangansbeke

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

weijiaheng

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

HanxunH

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

chenpf1025

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

chenpf1025

MIL-RBERT: A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction (BioNLP @ ACL 2020)

suamin

The FactorGraph package provides the set of different functions to perform inference over the factor graph with continuous or discrete random variables using the belief propagation algorithm.

mcosovic