no code implementations • 10 Aug 2023 • Liang Chen, Jiawei Zhang, Zhenhua Li, Yunxuan Wei, Faming Fang, Jimmy Ren, Jinshan Pan
In this paper, we develop a data-driven approach to model the saturated pixels by a learned latent map.
1 code implementation • NeurIPS 2019 • Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong
Recently, a novel method is proposed to find one single Pareto optimal solution with good trade-off among different tasks by casting multi-task learning as multiobjective optimization.
no code implementations • 4 Nov 2018 • Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong
The proposed algorithm uses the Bayesian neural network as the scalable surrogate model.
no code implementations • 4 Nov 2018 • Hui-Ling Zhen, Xi Lin, Alan Z. Tang, Zhenhua Li, Qingfu Zhang, Sam Kwong
Different from them, in this paper, we aim to link the generalization ability of a deep network to optimizing a new objective function.
no code implementations • 11 Oct 2017 • Zhenhua Li, Qingfu Zhang
In this paper, we propose an efficient approximated rank one update for covariance matrix adaptation evolution strategy (CMA-ES).