distribution-shift topic

A curated list of papers and resources about the distribution shift in machine learning.

weitianxin

A python package providing a benchmark with various specified distribution shift patterns.

namkoong-lab

Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift

acmi-lab

"Towards Semi-supervised Learning with Non-random Missing Labels" by Yue Duan (ICCV 2023)

NJUyued

Frouros: an open-source Python library for drift detection in machine learning systems.

IFCA-Advanced-Computing

Domain Adaptation for Time Series Under Feature and Label Shifts

mims-harvard

bit-ml

Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”

mala-lab

Collection of awesome test-time (domain/batch/instance) adaptation methods

tim-learn

[ICLR'22] Self-supervised learning optimally robust representations for domain shift.

ryoungj