Policy Dispersion in Non-Markovian Environment

no code implementations • 28 Feb 2023 • Bohao Qu, Xiaofeng Cao, Jielong Yang, Hechang Chen, Chang Yi, Ivor W. Tsang, Yew-Soon Ong

To resolve this problem, this paper tries to learn the diverse policies from the history of state-action pairs under a non-Markovian environment, in which a policy dispersion scheme is designed for seeking diverse policy representation.

Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity

1 code implementation • CVPR 2022 • Ye Yuntong, Yu Changfeng, Chang Yi, Zhu Lin, Zhao Xile, Yan Luxin, Tian Yonghong

Image deraining is a typical low-level image restoration task, which aims at decomposing the rainy image into two distinguishable layers: the clean image layer and the rain layer.

Contrastive Learning Image Restoration +1

Interpreting Deep Classifier by Visual Distillation of Dark Knowledge

no code implementations • 11 Mar 2018 • Kai Xu, Dae Hoon Park, Chang Yi, Charles Sutton

Interpreting black box classifiers, such as deep networks, allows an analyst to validate a classifier before it is deployed in a high-stakes setting.

Dimensionality Reduction Model Compression