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STO-DARTS: Stochastic Bilevel Optimization for Differentiable Neural Architecture Search
IEEE Transactions on Emerging Topics in Computational IntelligenceLei Chen, Hai-Lin Liu, Tongtao Ling
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DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search
Proceedings of the British Machine Vision Conference 2021, 2021Shun Lu 0001 +6 more
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CSC-DARTS: Efficient Differentiable Neural Architecture Search Using Channel Splitting Connections
Information SciencesFeifei Lee, Lin Xie, Qiu Chen
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IEEE Transactions on Neural Networks and Learning Systems
Neural architecture search (NAS) has gained significant traction in automating the design of neural networks. To reduce search time, differentiable architecture search (DAS) reframes the traditional paradigm of discrete candidate sampling and evaluation into a differentiable optimization over a super-net, followed by discretization.
Jiannong Cao, Xiaoyun Liu, Yuqing Zhao
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Neural architecture search (NAS) has gained significant traction in automating the design of neural networks. To reduce search time, differentiable architecture search (DAS) reframes the traditional paradigm of discrete candidate sampling and evaluation into a differentiable optimization over a super-net, followed by discretization.
Jiannong Cao, Xiaoyun Liu, Yuqing Zhao
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ZO-DARTS: Differentiable Architecture Search with Zeroth-Order Approximation
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023Lunchen Xie +3 more
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$\beta $-DARTS++: Bi-Level Regularization for Proxy-Robust Differentiable Architecture Search
IEEE Transactions on Pattern Analysis and Machine IntelligenceNeural Architecture Search (NAS) has attracted increasing attention in recent years because of its capability to design neural networks automatically. Among them, differential NAS approaches such as DARTS, have gained popularity for search efficiency. However, they still suffer from three main issues, that are, the weak stability due to the performance
Peng Ye 0006 +5 more
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ℓ-DARTS: Light-Weight Differentiable Architecture Search With Robustness Enhancement Strategy
Knowledge-Based SystemsNianyin Zeng, Zidong Wang, Han Li
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AD-DARTS: Adaptive Dropout for Differentiable Architecture Search
2021Ziwei Zheng +3 more
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Proceedings of the 2023 15th International Conference on Machine Learning and Computing, 2023
Najmeh Fayyazifar +4 more
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Najmeh Fayyazifar +4 more
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