NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning

1 code implementation • NeurIPS 2023 • Yun Yi, Haokui Zhang, Rong Xiao, Nannan Wang, Xiaoyu Wang

It can learn efficient representations from both cell-structured networks and entire networks.

Representation Learning

NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction

1 code implementation • CVPR 2023 • Yun Yi, Haokui Zhang, Wenze Hu, Nannan Wang, Xiaoyu Wang

In this paper, we propose a neural architecture representation model that can be used to estimate these attributes holistically.

Representation Learning

Semi-parametric Makeup Transfer via Semantic-aware Correspondence

1 code implementation • 4 Mar 2022 • Mingrui Zhu, Yun Yi, Nannan Wang, Xiaoyu Wang, Xinbo Gao

The large discrepancy between the source non-makeup image and the reference makeup image is one of the key challenges in makeup transfer.