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

Training Distribution Selection for Provable OOD Performance

Official implementation of NeurIPS 2025 paper "Visual Instruction Bottleneck Tuning"

Advanced domain adaptation techniques for robust machine learning across different data distributions

[TMLR 2025] Importance Weighting for Aligning Language Models under Deployment Distribution Shift

Code for the paper "Where are we with calibration under dataset shift in image classification?"

Official implementation of the Fréchet Radiomic Distance

This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles et al., 2022).

Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State-Guided Model Updating

A repository and benchmark for online test-time adaptation.

Official implementation of ICML 2025 paper "Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach"

A Python Library for Biquality Learning

[WWW2024 (Oral)] PyTorch implementation of "Intelligent Model Update Strategy for Sequential Recommendation".

GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection" and T-PAMI Extension

Code for the Conditional Mutual Information-Debiasing (CMID) method.

The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.

"RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning" by Yue Duan (ECCV 2022)

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