논문 리스트

NAS.md

1. NASiam: Efficient Representation Learning using Neural Architecture Search for Siamese Networks

   • Date: 31 Jan 2023
   • Authors: Alexandre Heuillet, Hedi Tabia, Hichem Arioui
   • Citations: 2
   • GitHub: nasiam
   • Stars: 6
   • Framework: PyTorch
   • Datasets: CIFAR-10, MS COCO, CIFAR-100
   • Paper: Link

2. Efficient Architecture Search for Diverse Tasks

   • Date: 15 Apr 2022
   • Authors: Junhong Shen, Mikhail Khodak, Ameet Talwalkar
   • Citations: 10
   • GitHub: dash
   • Stars: 20
   • Framework: PyTorch
   • Dataset: FSD50K
   • Paper: Link

3. Rethinking Architecture Selection in Differentiable NAS

   • Conference: ICLR 2021
   • Authors: Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh
   • Citations: 146
   • GitHub: darts-pt
   • Stars: 96
   • Framework: PyTorch
   • Dataset: NAS-Bench-201
   • Paper: Link

4. HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search

   • Date: 23 Feb 2021
   • Authors: Niv Nayman, Yonathan Aflalo, Asaf Noy, Lihi Zelnik-Manor
   • Citations: 29
   • GitHub: HardCoReNAS
   • Stars: 32
   • Framework: PyTorch
   • Dataset: ImageNet
   • Paper: Link

5. Neural Architecture Search of SPD Manifold Networks

   • Date: 27 Oct 2020
   • Authors: Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc van Gool
   • Citations: 11
   • GitHub: spdnetnas
   • Stars: 10
   • Framework: PyTorch
   • Paper: Link

6. MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers

   • Date: 21 Oct 2020
   • Authors: Colby Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough
   • Citations: 199
   • GitHub: ML-zoo
   • Stars: 171
   • Framework: TensorFlow
   • Datasets: Speech Commands, Visual Wake Words
   • Paper: Link

7. RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning

   • Date: 14 Sep 2020
   • Authors: Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo
   • Citations: 31
   • GitHub: RelativeNAS
   • Stars: 46
   • Framework: PyTorch
   • Datasets: CIFAR-10, ImageNet, MS COCO, CIFAR-100, Cityscapes, ssd
   • Paper: Link

8. Understanding the wiring evolution in differentiable neural architecture search

   • Date: 2 Sep 2020
   • Authors: Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
   • Citations: 5
   • GitHub: SNAS-Series
   • Stars: 141
   • Framework: PyTorch
   • Paper: Link

9. DSNAS: Direct Neural Architecture Search without Parameter Retraining

   • Conference: CVPR 2020
   • Authors: Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
   • Citations: 124
   • GitHub: SNAS-Series
   • Stars: 141
   • Framework: PyTorch
   • Datasets: NAS-Bench-201
   • Paper: Link

10. UNAS: Differentiable Architecture Search Meets Reinforcement Learning

    • Conference: CVPR 2020
    • Authors: Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz
    • Citations: 33
    • GitHub: unas
    • Stars: 57
    • Framework: PyTorch
    • Paper: Link

11. Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

    • Date: 5 Apr 2019
    • Authors: Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
    • Citations: 285
    • GitHub: single-path-nas
    • Stars: 396
    • Framework: TensorFlow (PyTorch available at uninas)
    • Dataset: ImageNet
    • Paper: Link

12. DARTS: Differentiable Architecture Search

    • Conference: ICLR 2019
    • Authors: Hanxiao Liu, Karen Simonyan, Yiming Yang
    • Citations: 4388
    • GitHub: darts
    • Stars: 3828
    • Framework: PyTorch
    • Datasets: CIFAR-10, ImageNet, Penn Treebank, NAS-Bench-201
    • Paper: Link