Adam: A Method for Stochastic Optimization

22 December 2014

Jimmy Ba

Papers citing "Adam: A Method for Stochastic Optimization"

43 / 25,443 papers shown

Title
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 51 632 0 03 Nov 2015
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions Mohammad Emtiyaz Khan Reza Babanezhad Wu Lin Mark Schmidt Masashi Sugiyama 33 49 0 31 Oct 2015
Accurate Vision-based Vehicle Localization using Satellite Imagery Hang Chu Hongyuan Mei Joey Tianyi Zhou Matthew R. Walter 25 12 0 30 Oct 2015
Multilingual Image Description with Neural Sequence Models Desmond Elliott Stella Frank Eva Hasler VLM 22 75 0 15 Oct 2015
Improved Deep Learning Baselines for Ubuntu Corpus Dialogs Rudolf Kadlec Martin Schmid Jan Kleindienst 22 114 0 13 Oct 2015
Learning Data-driven Reflectance Priors for Intrinsic Image Decomposition Tinghui Zhou Philipp Krahenbuhl Alexei A. Efros 29 162 0 08 Oct 2015
A Primer on Neural Network Models for Natural Language Processing Yoav Goldberg AI4CE 50 1,129 0 02 Oct 2015
Learning Wake-Sleep Recurrent Attention Models Jimmy Ba Roger C. Grosse Ruslan Salakhutdinov B. Frey BDL 32 65 0 22 Sep 2015
Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search Tianhao Zhang G. Kahn Sergey Levine Pieter Abbeel 16 426 0 22 Sep 2015
Reasoning about Entailment with Neural Attention Tim Rocktaschel Edward Grefenstette Karl Moritz Hermann Tomás Kociský Phil Blunsom NAI 26 760 0 22 Sep 2015
A deep matrix factorization method for learning attribute representations George Trigeorgis Konstantinos Bousmalis S. Zafeiriou Bjoern W. Schuller 11 293 0 10 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 49 13,120 0 09 Sep 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 77 1,236 0 01 Sep 2015
Deep Neural Network Based Malware Detection Using Two Dimensional Binary Program Features Joshua Saxe Konstantin Berlin 9 619 0 13 Aug 2015
A Linearly-Convergent Stochastic L-BFGS Algorithm Philipp Moritz Robert Nishihara Michael I. Jordan ODL 40 233 0 09 Aug 2015
Compression of Fully-Connected Layer in Neural Network by Kronecker Product Shuchang Zhou Jia-Nan Wu 36 26 0 21 Jul 2015
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing A. Kumar Ozan Irsoy Peter Ondruska Mohit Iyyer James Bradbury Ishaan Gulrajani Victor Zhong Romain Paulus R. Socher 54 1,176 0 24 Jun 2015
Skip-Thought Vectors Ryan Kiros Yukun Zhu Ruslan Salakhutdinov R. Zemel Antonio Torralba R. Urtasun Sanja Fidler SSL 54 2,403 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 34 117 0 20 Jun 2015
Bayesian representation learning with oracle constraints Theofanis Karaletsos Serge J. Belongie Gunnar Rätsch BDL 35 92 0 16 Jun 2015
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences Hongyuan Mei Joey Tianyi Zhou Matthew R. Walter LM&Ro 29 242 0 12 Jun 2015
Learning language through pictures Grzegorz Chrupała Ákos Kádár A. Alishahi VLM SSL 35 65 0 11 Jun 2015
Data Generation as Sequential Decision Making Philip Bachman Doina Precup 30 57 0 10 Jun 2015
Automatic Variational Inference in Stan A. Kucukelbir Rajesh Ranganath Andrew Gelman David M. Blei BDL 37 232 0 10 Jun 2015
Neural Adaptive Sequential Monte Carlo S. Gu Zoubin Ghahramani Richard Turner BDL 24 145 0 10 Jun 2015
Copula variational inference Dustin Tran David M. Blei E. Airoldi 20 5 0 10 Jun 2015
Inverting Visual Representations with Convolutional Networks Alexey Dosovitskiy Thomas Brox SSL FAtt 39 661 0 09 Jun 2015
Path-SGD: Path-Normalized Optimization in Deep Neural Networks Behnam Neyshabur Ruslan Salakhutdinov Nathan Srebro ODL 32 305 0 08 Jun 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 69 1,494 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 42 1,242 0 07 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 27 254 0 05 Jun 2015
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions Jimmy Ba Kevin Swersky Sanja Fidler Ruslan Salakhutdinov VLM 43 435 0 01 Jun 2015
Towards stability and optimality in stochastic gradient descent Panos Toulis Dustin Tran E. Airoldi 26 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 53 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 47 938 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 142 10,011 0 10 Feb 2015
Probabilistic Line Searches for Stochastic Optimization Maren Mahsereci Philipp Hennig ODL 26 126 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