Computer architecture

Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment
The ongoing advancements in network architecture design have led to remarkable achievements in deep learning across various challenging …
Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb
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Surrogate-assisted Multiobjective Neural Architecture Search for Real-time Semantic Segmentation
The architectural advancements in deep neural networks have led to remarkable leap-forwards across a broad array of computer vision …
Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, Fan Yang
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Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance
The performance of deep neural networks is heavily dependent on its architecture and various neural architecture search strategies have …
Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao
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RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
Despite the remarkable successes of convolutional neural networks (CNNs) in computer vision, it is time-consuming and error-prone to …
Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo
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