SSCI2022 - Plenary Talk 4 - Learning with DNNs: Optimizer, Architecture and Formulation

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SSCI2022 Plenary Talk 4: Learning with DNNs: Optimizer, Architecture and Formulation, given by Professor Shuicheng Yan from Sea AI Lab (SAIL)

Deep Neural Networks (DNNs) have been widely explored from both theory and application perspectives. In this talk, I shall mainly introduce the latest research in the SEA AI Lab along three different lines of learning with DNNs: 1) optimizer, mainly introducing how more general and faster optimizers help improve the DNN model training speed, 2) architecture, mainly introducing how convolution and attention complement each other towards more outstanding DNN structures, and 3) formulation, mainly introducing how new problem formulations can lead to better representations and/or classifiers.

SSCI2022 Plenary Talk 4: Learning with DNNs: Optimizer, Architecture and Formulation, given by Professor Shuicheng Yan from Sea AI Lab (SAIL)

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