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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"

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Title
QCD-Aware Recursive Neural Networks for Jet Physics Gilles Louppe Kyunghyun Cho C. Becot Kyle Cranmer BDL 98 189 0 02 Feb 2017
Towards Adversarial Retinal Image Synthesis P. Costa Adrian Galdran Maria Inês Meyer M. Abràmoff M. Niemeijer A. Mendonça A. Campilho GAN MedIm 94 124 0 31 Jan 2017
Deep Reinforcement Learning for Visual Object Tracking in Videos Da Zhang H. Maei Xin Eric Wang Yuan-fang Wang 132 116 0 31 Jan 2017
Predicting Auction Price of Vehicle License Plate with Deep Recurrent Neural Network Vinci Chow 100 20 0 30 Jan 2017
Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network Sunil Kumar Sahu Ashish Anand 84 136 0 28 Jan 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 172 4,826 0 26 Jan 2017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer Noam M. Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc V. Le Geoffrey E. Hinton J. Dean MoE 251 2,653 0 23 Jan 2017
Image De-raining Using a Conditional Generative Adversarial Network He Zhang Vishwanath A. Sindagi Vishal M. Patel GAN 167 1,019 0 21 Jan 2017
Temporal Overdrive Recurrent Neural Network F. Bianchi Michael C. Kampffmeyer E. Maiorino Robert Jenssen AI4TS 138 9 0 18 Jan 2017
Deep Memory Networks for Attitude Identification Cheng Li Xiaoxiao Guo Qiaozhu Mei 76 90 0 16 Jan 2017
A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue Mihail Eric Christopher D. Manning BDL 109 155 0 15 Jan 2017
Simplified Minimal Gated Unit Variations for Recurrent Neural Networks Joel Heck F. Salem 57 71 0 12 Jan 2017
Comprehension-guided referring expressions Ruotian Luo Gregory Shakhnarovich ObjD 91 171 0 12 Jan 2017
CNN-based Segmentation of Medical Imaging Data Baris Kayalibay Grady Jensen Patrick van der Smagt SSeg 197 415 0 11 Jan 2017
Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks Marwin H. S. Segler T. Kogej C. Tyrchan M. Waller 92 97 0 05 Jan 2017
Weakly Supervised Semantic Segmentation using Web-Crawled Videos Seunghoon Hong Donghun Yeo Suha Kwak Honglak Lee Bohyung Han 104 158 0 02 Jan 2017
Video-based Person Re-identification with Accumulative Motion Context Hao Liu Zequn Jie Karlekar Jayashree Meibin Qi Jianguo Jiang Shuicheng Yan Jiashi Feng 97 165 0 01 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 169 1,725 0 31 Dec 2016
Counterfactual Prediction with Deep Instrumental Variables Networks Jason S. Hartford Greg Lewis Kevin Leyton-Brown Matt Taddy CML OOD 169 49 0 30 Dec 2016
Semantic Video Segmentation by Gated Recurrent Flow Propagation David Nilsson C. Sminchisescu 172 223 0 28 Dec 2016
Quantization and Training of Low Bit-Width Convolutional Neural Networks for Object Detection Penghang Yin Shuai Zhang Y. Qi Jack Xin MQ 145 42 0 19 Dec 2016
Deep Neural Networks for Improved, Impromptu Trajectory Tracking of Quadrotors Qiyang Li Jingxing Qian Zining Zhu Xuchan Bao M. Helwa Angela P. Schoellig 77 73 0 20 Oct 2016
Deep Amortized Inference for Probabilistic Programs Daniel E. Ritchie Paul Horsfall Noah D. Goodman TPM 103 82 0 18 Oct 2016
Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation Andrea F. Daniele Joey Tianyi Zhou Matthew R. Walter LM&Ro 65 40 0 11 Oct 2016
Fully Character-Level Neural Machine Translation without Explicit Segmentation Jason D. Lee Kyunghyun Cho Thomas Hofmann VLM 130 457 0 10 Oct 2016
End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering Youngjae Yu Hyungjin Ko Jongwook Choi Gunhee Kim 123 231 0 10 Oct 2016
Generative Adversarial Nets from a Density Ratio Estimation Perspective Masatoshi Uehara Issei Sato Masahiro Suzuki Kotaro Nakayama Y. Matsuo GAN 83 104 0 10 Oct 2016
Visual Closed-Loop Control for Pouring Liquids Connor Schenck Dieter Fox 69 107 0 09 Oct 2016
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates S. Gu E. Holly Timothy Lillicrap Sergey Levine OffRL SSL 114 1,480 0 03 Oct 2016
Very Deep Convolutional Neural Networks for Raw Waveforms Wei Dai Chia Dai Shuhui Qu Juncheng Billy Li Samarjit Das 111 345 0 01 Oct 2016
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 93 457 0 30 Sep 2016
Shape Completion Enabled Robotic Grasping Jacob Varley Chad DeChant Adam Richardson J. Ruales Peter K. Allen 3DPC 3DV 78 313 0 27 Sep 2016
Asynchronous Stochastic Gradient Descent with Delay Compensation Shuxin Zheng Qi Meng Taifeng Wang Wei Chen Nenghai Yu Zhiming Ma Tie-Yan Liu 109 314 0 27 Sep 2016
Online Segment to Segment Neural Transduction Lei Yu Jan Buys Phil Blunsom 105 82 0 26 Sep 2016
A Fully Convolutional Neural Network for Speech Enhancement Se Rim Park Jinwon Lee 87 372 0 22 Sep 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 149 1,866 0 22 Sep 2016
Variational Inference for Sparse and Undirected Models John Ingraham D. Marks 87 8 0 11 Feb 2016
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation Colin S. Lea A. Reiter René Vidal Gregory Hager 81 270 0 09 Feb 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks Sander Dieleman J. Fauw Koray Kavukcuoglu 115 364 0 08 Feb 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 97 912 0 06 Feb 2016
A Kronecker-factored approximate Fisher matrix for convolution layers Roger C. Grosse James Martens ODL 105 264 0 03 Feb 2016
Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling Gakuto Kurata Bing Xiang Bowen Zhou Mo Yu 89 125 0 07 Jan 2016
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures Makoto Miwa Joey Tianyi Zhou 132 1,188 0 05 Jan 2016
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server Leonard Hasenclever Stefan Webb Thibaut Lienart Sebastian J. Vollmer Balaji Lakshminarayanan Charles Blundell Yee Whye Teh BDL 149 70 0 31 Dec 2015
Learning Natural Language Inference with LSTM Shuohang Wang Jing Jiang 104 446 0 30 Dec 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 124 562 0 11 Mar 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,929 0 20 Dec 2013
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods Jascha Narain Sohl-Dickstein Ben Poole Surya Ganguli ODL 121 124 0 09 Nov 2013
Generating Sequences With Recurrent Neural Networks Alex Graves GAN 155 4,034 0 04 Aug 2013
Speech Recognition with Deep Recurrent Neural Networks Alex Graves Abdel-rahman Mohamed Geoffrey E. Hinton 226 8,517 0 22 Mar 2013