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cs.CV2022
Boost Test-Time Performance with Closed-Loop Inference
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang +6
Conventional deep models predict a test sample with a single forward propagation, which, however, may not be sufficient for predicting hard-classified samples. On the contrary, we…
cs.CV2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang +4
Neural architecture search (NAS) has gained increasing attention in the community of architecture design. One of the key factors behind the success lies in the training efficiency…