data-centric-machine-learning

A Doctor for your data

A curated, but incomplete, list of data-centric AI resources.

Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets

Contains implementations of data-centric approaches for improving semantic segmentation on satellite imagery.

A list of data-efficient and data-centric LLM (Large Language Model) papers. Our Survey Paper: Towards Efficient LLM Post Training: A Data-centric Perspective

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data (NeurIPS 2022)

Enhancing Efficiency in Multidevice Federated Learning through Data Selection

(Pattern Recognition 2025) Towards Trustworthy Dataset Distillation

TRIAGE: Characterizing and auditing training data for improved regression (NeurIPS 2023)

Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)

You can’t handle the (dirty) truth: Data-centric insights improve pseudo-labeling

Collaboratively Learning Federated Models from Noisy Decentralized Data

A multi-view panorama of Data-Centric AI: Techniques, Tools, and Applications (ECAI Tutorial 2024)

Implementation of data typology for imbalanced datasets.