Reinforcement Unlearning

no code implementations • 26 Dec 2023 • Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Zewei Shi, Sheng Shen, Wanlei Zhou, Minhui Xue

Machine unlearning refers to the process of mitigating the influence of specific training data on machine learning models based on removal requests from data owners.

Inference Attack Machine Unlearning +1

Jaeger: A Concatenation-Based Multi-Transformer VQA Model

no code implementations • 11 Oct 2023 • Jieting Long, Zewei Shi, Penghao Jiang, Yidong Gan

By leveraging pre-trained models for feature extraction, our approach has the potential to amplify the performance of these models through concatenation.

Dimensionality Reduction Question Answering +1