Eve: A Gradient Based Optimization Method with Locally and Globally
Adaptive Learning Rates

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Eve: A Gradient Based Optimization Method with Locally and Globally Adaptive Learning Rates

4 November 2016

Hiroaki Hayashi

Jayanth Koushik

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Papers citing "Eve: A Gradient Based Optimization Method with Locally and Globally Adaptive Learning Rates"

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Title
Deep Learning without Poor Local Minima Kenji Kawaguchi ODL 221 923 0 23 May 2016
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks Jason Weston Antoine Bordes S. Chopra Alexander M. Rush Bart van Merriënboer Armand Joulin Tomas Mikolov LRM ELM 150 1,181 0 19 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 593 12,713 0 11 Dec 2014
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization Yann N. Dauphin Razvan Pascanu Çağlar Gülçehre Kyunghyun Cho Surya Ganguli Yoshua Bengio ODL 129 1,385 0 10 Jun 2014
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 158 6,630 0 22 Dec 2012