Adam: A Method for Stochastic Optimization

Adam: A Method for Stochastic Optimization

22 December 2014

Diederik P. Kingma

Jimmy Ba

Papers citing "Adam: A Method for Stochastic Optimization"

11 / 25,511 papers shown

Title
Towards stability and optimality in stochastic gradient descent Panos Toulis Dustin Tran E. Airoldi 31 56 0 10 May 2015
Sequence to Sequence -- Video to Text Subhashini Venugopalan Marcus Rohrbach Jeff Donahue Raymond J. Mooney Trevor Darrell Kate Saenko 57 1,416 0 03 May 2015
Lateral Connections in Denoising Autoencoders Support Supervised Learning Antti Rasmus Harri Valpola T. Raiko 38 22 0 30 Apr 2015
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 76 4,147 0 26 Apr 2015
Early Stopping is Nonparametric Variational Inference D. Maclaurin David Duvenaud Ryan P. Adams BDL 38 95 0 06 Apr 2015
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 75 2,754 0 20 Feb 2015
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra GAN DRL 79 1,955 0 16 Feb 2015
Gradient-based Hyperparameter Optimization through Reversible Learning D. Maclaurin David Duvenaud Ryan P. Adams DD 52 938 0 11 Feb 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 148 10,011 0 10 Feb 2015
Probabilistic Line Searches for Stochastic Optimization Maren Mahsereci Philipp Hennig ODL 31 126 0 10 Feb 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,640 0 03 Jul 2012