4 citations · 6 across the 3 of their papers we have counts for
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cs.LG2023★ 2 cited
AutoML-GPT: Large Language Model for AutoML
Yun-Da Tsai, Yu-Che Tsai, Bo-Wei Huang +2
With the emerging trend of GPT models, we have established a framework called AutoML-GPT that integrates a comprehensive set of tools and libraries. This framework grants users acc…
cs.LG2023★ 4 cited
Environment Diversification with Multi-head Neural Network for Invariant Learning
Bo-Wei Huang, Keng-Te Liao, Chang-Sheng Kao +1
Neural networks are often trained with empirical risk minimization; however, it has been shown that a shift between training and testing distributions can cause unpredictable perfo…