3 NeurIPS

DropMax: Adaptive Variational Softmax

NeurIPS 2018 DropMax: Adaptive Variational SoftmaxHaebeom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang We propose DropMax, a stochastic version of softmax classifier which at each iteration drops non-target classes according to dropout probabilities adaptively decided for each ins...

2 NeurIPS

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

NeurIPS 2018 A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial AttacksKimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin Detecting test samples drawn sufficiently far away from the training distribution statistically or adversarially is a fundamenta...

1 NeurIPS

Learning to Transfer Initializations for Bayesian Hyperparameter Optimization

NeurIPS 2017 Workshop on Bayesian Optimization Learning to Transfer Initializations for Bayesian Hyperparameter OptimizationJungtaek Kim, Saehoon Kim, Seungjin Choi We propose a neural network to learn meta-features over datasets, which is used to select initial points for Bayesian hyperpa...