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Adam: A Method for Stochastic Optimization

22 December 2014

Diederik P. Kingma

Jimmy Ba

ODL

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Papers citing "Adam: A Method for Stochastic Optimization"

36 / 37,032 papers shown

Title
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books Yukun Zhu Ryan Kiros R. Zemel Ruslan Salakhutdinov R. Urtasun Antonio Torralba Sanja Fidler 178 2,558 0 22 Jun 2015
Aligning where to see and what to tell: image caption with region-based attention and scene factorization Junqi Jin Kun Fu Runpeng Cui Fei Sha Changshui Zhang 93 117 0 20 Jun 2015
Bayesian representation learning with oracle constraints Theofanis Karaletsos Serge J. Belongie Gunnar Rätsch BDL 90 92 0 16 Jun 2015
Learning Deep Generative Models with Doubly Stochastic MCMC Chao Du Jun Zhu Bo Zhang BDL SyDa 71 9 0 15 Jun 2015
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences Hongyuan Mei Joey Tianyi Zhou Matthew R. Walter LM&Ro 114 244 0 12 Jun 2015
Spectral Representations for Convolutional Neural Networks Oren Rippel Jasper Snoek Ryan P. Adams 72 329 0 11 Jun 2015
Learning language through pictures Grzegorz Chrupała Ákos Kádár Afra Alishahi VLM SSL 106 65 0 11 Jun 2015
Data Generation as Sequential Decision Making Philip Bachman Doina Precup 106 58 0 10 Jun 2015
Automatic Variational Inference in Stan A. Kucukelbir Rajesh Ranganath Andrew Gelman David M. Blei BDL 99 233 0 10 Jun 2015
Neural Adaptive Sequential Monte Carlo S. Gu Zoubin Ghahramani Richard Turner BDL 95 147 0 10 Jun 2015
Inverting Visual Representations with Convolutional Networks Alexey Dosovitskiy Thomas Brox SSL FAtt 114 668 0 09 Jun 2015
Path-SGD: Path-Normalized Optimization in Deep Neural Networks Behnam Neyshabur Ruslan Salakhutdinov Nathan Srebro ODL 105 310 0 08 Jun 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 242 1,518 0 08 Jun 2015
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 142 1,263 0 07 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 961 9,386 0 06 Jun 2015
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video Lionel Pigou Aaron van den Oord Sander Dieleman Mieke Van Herreweghe J. Dambre 79 256 0 05 Jun 2015
Cyclical Learning Rates for Training Neural Networks L. Smith ODL 242 2,543 0 03 Jun 2015
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions Jimmy Ba Kevin Swersky Sanja Fidler Ruslan Salakhutdinov VLM 115 440 0 01 Jun 2015
Towards stability and optimality in stochastic gradient descent Panos Toulis Dustin Tran E. Airoldi 102 56 0 10 May 2015
Sequence to Sequence -- Video to Text Subhashini Venugopalan Marcus Rohrbach Jeff Donahue Raymond J. Mooney Trevor Darrell Kate Saenko 150 1,421 0 03 May 2015
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks Francesco Visin Kyle Kastner Kyunghyun Cho Matteo Matteucci Aaron Courville Yoshua Bengio SSeg 81 271 0 03 May 2015
Lateral Connections in Denoising Autoencoders Support Supervised Learning Antti Rasmus Harri Valpola T. Raiko 84 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 359 4,183 0 26 Apr 2015
Max-margin Deep Generative Models Chongxuan Li Jun Zhu Tianlin Shi Bo Zhang AI4CE 95 33 0 26 Apr 2015
Early Stopping is Nonparametric Variational Inference D. Maclaurin David Duvenaud Ryan P. Adams BDL 95 95 0 06 Apr 2015
On Using Monolingual Corpora in Neural Machine Translation Çağlar Gülçehre Orhan Firat Kelvin Xu Kyunghyun Cho Loïc Barrault Huei-Chi Lin Fethi Bougares Holger Schwenk Yoshua Bengio 163 564 0 11 Mar 2015
Convolutional LSTM Networks for Subcellular Localization of Proteins Søren Kaae Sønderby C. Sønderby H. Nielsen Ole Winther 102 147 0 06 Mar 2015
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 192 2,832 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 193 1,963 0 16 Feb 2015
Gradient-based Hyperparameter Optimization through Reversible Learning D. Maclaurin David Duvenaud Ryan P. Adams DD 245 946 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 352 10,102 0 10 Feb 2015
Probabilistic Line Searches for Stochastic Optimization Maren Mahsereci Philipp Hennig ODL 101 126 0 10 Feb 2015
Gated Feedback Recurrent Neural Networks Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 86 831 0 09 Feb 2015
Variational Recurrent Auto-Encoders Otto Fabius Joost R. van Amersfoort GAN BDL DRL 119 247 0 20 Dec 2014
New insights and perspectives on the natural gradient method James Martens ODL 204 631 0 03 Dec 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 158 2,271 0 30 Oct 2014