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Differentiable Architecture Search (DARTS) is now a widely disseminated weight-sharing neural architecture search method.
1908
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Bender, G., Kindermans, P.J., Zoph, B., Vasudevan, V., Le, Q.: Understanding and Simplifying One-Shot Architecture Search. In: International Conference on Machine Learning. pp. 549–558 (2018)
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Brock, A., Lim, T., Ritchie, J.M., Weston, N.: SMASH: One-Shot Model Architecture Search through HyperNetworks. In: International Conference on Learning Representations (2018)
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Pham, H., Guan, M.Y., Zoph, B., Le, Q.V., Dean, J.: Efficient Neural Architecture Search via Parameter Sharing. In: International Conference on Machine Learning (2018)
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Real, E., Aggarwal, A., Huang, Y., Le, Q.V.: Regularized Evolution for Image Classifier Architecture Search. International Conference on Machine Learning, AutoML Workshop (2018)
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Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., Chen, L.C.: MobileNetV2: Inverted Residuals and Linear Bottlenecks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 4510–4520 (2018)
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Zoph, B., Vasudevan, V., Shlens, J., Le, Q.V.: Learning Transferable Architectures for Scalable Image Recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. vol. 2 (2018)
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2019
Cited alongside, same era.
Cai, H., Zhu, L., Han, S.: ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. In: International Conference on Learning Representations (2019)
2019
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Liu, H., Simonyan, K., Yang, Y.: DARTS: Differentiable Architecture Search. In: International Conference on Learning Representations (2019)
2019
Closest in time.
Nayman, N., Noy, A., Ridnik, T., Friedman, I., Jin, R., Zelnik-Manor, L.: XNAS: Neural Architecture Search with Expert Advice. In: Advances in Neural Information Processing Systems (2019)
2019
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Stamoulis, D., Ding, R., Wang, D., Lymberopoulos, D., Priyantha, B., Liu, J., Marculescu, D.: Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours. In: European Conference on Machine Learning and Knowledge Discovery in Databases (2019)
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Tan, M., Chen, B., Pang, R., Vasudevan, V., Le, Q.V.: MnasNet: Platform-Aware Neural Architecture Search for Mobile. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2019)
2019
Closest in time.
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2019
Cited alongside, same era.
Chen, X., Xie, L., Wu, J., Tian, Q.: Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation. International Conference on Computer Vision (2019)
2019
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2019
Cited alongside, same era.
2019
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Cubuk, E.D., Zoph, B., Mane, D., Vasudevan, V., Le, Q.V.: AutoAugment: Learning Augmentation Policies from Data. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2019)
2019
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Dong, X., Yang, Y.: One-Shot Neural Architecture Search via Self-Evaluated Template Network. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 3681–3690 (2019)
2019
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Dong, X., Yang, Y.: Searching for a Robust Neural Architecture in Four GPU Hours. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1761–1770 (2019)
2019
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Howard, A., Sandler, M., Chu, G., Chen, L.C., Chen, B., Tan, M., Wang, W., Zhu, Y., Pang, R., Vasudevan, V., et al.: Searching for MobileNetV3. In: International Conference on Computer Vision (2019)
2019
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Tan, M., Le, Q.V.: EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. In: International Conference on Machine Learning (2019)
2019
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Tan, M., Le., Q.V.: MixConv: Mixed Depthwise Convolutional Kernels. The British Machine Vision Conference (2019)
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Wu, B., Dai, X., Zhang, P., Wang, Y., Sun, F., Wu, Y., Tian, Y., Vajda, P., Jia, Y., Keutzer, K.: FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2019)
2019
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Xie, S., Zheng, H., Liu, C., Lin, L.: SNAS: Stochastic Neural Architecture Search. International Conference on Learning Representations (2019)
2019
Closest in time.
Zheng, X., Ji, R., Tang, L., Zhang, B., Liu, J., Tian, Q.: Multinomial Distribution Learning for Effective Neural Architecture Search. International Conference on Computer Vision (2019)
2019
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Guo, Z., Zhang, X., Mu, H., Heng, W., Liu, Z., Wei, Y., Sun, J.: Single Path One-Shot Neural Architecture Search with Uniform Sampling. In: European Conference on Computer Vision (2020)
2020
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Li, G., Qian, G., Delgadillo, I.C., Müller, M., Thabet, A., Ghanem, B.: Sgas: Sequential greedy architecture search. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2020)
2020
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Xu, Y., Xie, L., Zhang, X., Chen, X., Qi, G.J., Tian, Q., Xiong, H.: PC-DARTS: Partial Channel Connections for Memory-efficient Differentiable Architecture Search. In: International Conference on Learning Representations (2020)
2020
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Zela, A., Elsken, T., Saikia, T., Marrakchi, Y., Brox, T., Hutter, F.: Understanding and robustifying differentiable architecture search. In: International Conference on Learning Representations (2020), https://openreview.net/forum?id=H1gDNyrKDS
2020
Closest in time.