128 citations · 221 across the 6 of their papers we have counts for
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cs.LG2016
Hyperparameter Transfer Learning through Surrogate Alignment for Efficient Deep Neural Network Training
Ilija Ilievski, Jiashi Feng
Recently, several optimization methods have been successfully applied to the hyperparameter optimization of deep neural networks (DNNs). The methods work by modeling the joint dist…
cs.AI2016★ 74 cited
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
Ilija Ilievski, Taimoor Akhtar, Jiashi Feng +1
Automatically searching for optimal hyperparameter configurations is of crucial importance for applying deep learning algorithms in practice. Recently, Bayesian optimization has be…
cs.CV2016★ 128 cited
A Focused Dynamic Attention Model for Visual Question Answering
Ilija Ilievski, Shuicheng Yan, Jiashi Feng
Visual Question and Answering (VQA) problems are attracting increasing interest from multiple research disciplines. Solving VQA problems requires techniques from both computer visi…