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1712.07834
Cited By
DropMax: Adaptive Variational Softmax
21 December 2017
Haebeom Lee
Juho Lee
Saehoon Kim
Eunho Yang
Sung Ju Hwang
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Papers citing
"DropMax: Adaptive Variational Softmax"
5 / 5 papers shown
Title
Ghost Loss to Question the Reliability of Training Data
A. Deliège
A. Cioppa
Marc Van Droogenbroeck
UQCV
21
1
0
03 Sep 2021
Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles
U. Sarawgi
W. Zulfikar
Rishab Khincha
Pattie Maes
PER
UQCV
BDL
UD
21
7
0
25 Sep 2020
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization
Priyadarshini Panda
Sai Aparna Aketi
Kaushik Roy
18
35
0
30 Oct 2019
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
202
745
0
06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,145
0
06 Jun 2015
1