Search Results for author: Shengcao Cao

Found 4 papers, 2 papers with code

Neighborhood-Aware Neural Architecture Search

no code implementations13 May 2021 Xiaofang Wang, Shengcao Cao, Mengtian Li, Kris M. Kitani

To facilitate the application to gradient-based algorithms, we also propose a differentiable representation for the neighborhood of architectures.

Neural Architecture Search

Efficient Model Performance Estimation via Feature Histories

no code implementations7 Mar 2021 Shengcao Cao, Xiaofang Wang, Kris Kitani

Using a sampling-based search algorithm and parallel computing, our method can find an architecture which is better than DARTS and with an 80% reduction in wall-clock search time.

Image Classification Neural Architecture Search

Rethinking Transformer-based Set Prediction for Object Detection

1 code implementation ICCV 2021 Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani

DETR is a recently proposed Transformer-based method which views object detection as a set prediction problem and achieves state-of-the-art performance but demands extra-long training time to converge.

Object Detection

Learnable Embedding Space for Efficient Neural Architecture Compression

2 code implementations ICLR 2019 Shengcao Cao, Xiaofang Wang, Kris M. Kitani

We also demonstrate that the learned embedding space can be transferred to new settings for architecture search, such as a larger teacher network or a teacher network in a different architecture family, without any training.

Neural Architecture Search

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