PA&DA: Jointly Sampling PAth and DAta for Consistent NAS

Author:

Lu Shun1,Hu Yu1,Yang Longxing1,Sun Zihao1,Mei Jilin1,Tan Jianchao2,Song Chengru2

Affiliation:

1. Research Center for Intelligent Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences

2. Kuaishou Technology

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

IEEE

Reference59 articles.

1. Saga: A fast incremental gradient method with support for non-strongly convex composite objectives;defazio;In NIPS,0

2. CLOSE: Curriculum Learning on the Sharing Extent Towards Better One-Shot NAS

3. DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search

4. Few-shot neural architecture search;zhao;In ICML,0

5. Nas-bench-201: Extending the scope of reproducible neural architecture search;dong;In ICLR,0

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