150 citations · 221 across the 19 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
stat.ML2020★ 1 cited
Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes
Jungtaek Kim, Seungjin Choi, Minsu Cho
Bayesian optimization is a popular method for solving the problem of global optimization of an expensive-to-evaluate black-box function. It relies on a probabilistic surrogate mode…
cs.LG2020
Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning
Beomjo Shin, Junsu Cho, Hwanjo Yu +1
Multiple Instance Learning (MIL) involves predicting a single label for a bag of instances, given positive or negative labels at bag-level, without accessing to label for each inst…
cs.LG2020★ 5 cited
Neural Complexity Measures
Yoonho Lee, Juho Lee, Sung Ju Hwang +2
While various complexity measures for deep neural networks exist, specifying an appropriate measure capable of predicting and explaining generalization in deep networks has proven…