VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layer

NeurIPS'2019: Are Anchor Points Really Indispensable in Label-Noise Learning?

Safe robot learning

A method for learning under concept drift

CADM+: Confusion-based Learning Framework With Drift Detection and Adaptation for Real-time Safety Assessment

Conformal Prediction for Semi-supervised Classification on Data Streams

A semi-supervised density-based learning framework for non-stationary environments

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。

Personal Academic Homepage of Zeyi Liu

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

Code for paper being submitted

[2024 TNNLS] Source code of an online active learning strategy (DSA-AI)

[2024 IEEE TCYB]Source code of an online active learning strategy (DMI-LS)

A benchmark fault diagnosis dataset comprises vibration data collected from a gearbox under variable working conditions with intentionally induced faults, encompassing diverse fault severities and …

A General Toolkit for Advanced Online Learning, Online Active Learning, Online Semi-supervised Learning Approaches

A benchmark dataset for real-time safety assessment of dynamic systems

Multi-mode Fault Diagnosis Datasets with TE process (MMFDD-TEP) can be used for the purpose of comparison studies or validation of algorithms

Compound Fault Diagnosis Dataset of Rotating Machinery

📖These are the concept drift datasets we made, and we open-source the data and corresponding interfaces. Welcome to use them for free if there is a need.