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pro vyhledávání: '"Chen, Zewei"'
Recently, some works found an interesting phenomenon that adversarially robust classifiers can generate good images comparable to generative models. We investigate this phenomenon from an energy perspective and provide a novel explanation. We reformu
Externí odkaz:
http://arxiv.org/abs/2108.09093
Recent breakthroughs of Neural Architecture Search (NAS) extend the field's research scope towards a broader range of vision tasks and more diversified search spaces. While existing NAS methods mostly design architectures on a single task, algorithms
Externí odkaz:
http://arxiv.org/abs/2105.11871
Autor:
Lopes, Vasco, Carlucci, Fabio Maria, Esperança, Pedro M, Singh, Marco, Gabillon, Victor, Yang, Antoine, Xu, Hang, Chen, Zewei, Wang, Jun
The Neural Architecture Search (NAS) problem is typically formulated as a graph search problem where the goal is to learn the optimal operations over edges in order to maximise a graph-level global objective. Due to the large architecture parameter s
Externí odkaz:
http://arxiv.org/abs/1909.01051