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Adam: A Method for Stochastic Optimization

Adam: A Method for Stochastic Optimization

22 December 2014
Diederik P. Kingma
Jimmy Ba
    ODL
ArXivPDFHTML

Papers citing "Adam: A Method for Stochastic Optimization"

50 / 25,443 papers shown
Title
Investigation Into The Effectiveness Of Long Short Term Memory Networks
  For Stock Price Prediction
Investigation Into The Effectiveness Of Long Short Term Memory Networks For Stock Price Prediction
Hengjian Jia
AIFin
17
61
0
25 Mar 2016
On the Powerball Method for Optimization
On the Powerball Method for Optimization
Ye Yuan
Mu Li
Jun Liu
Claire Tomlin
16
20
0
24 Mar 2016
Neural Summarization by Extracting Sentences and Words
Neural Summarization by Extracting Sentences and Words
Jianpeng Cheng
Mirella Lapata
33
815
0
23 Mar 2016
Generating Factoid Questions With Recurrent Neural Networks: The 30M
  Factoid Question-Answer Corpus
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus
Iulian Serban
Alberto García-Durán
Çağlar Gülçehre
Sungjin Ahn
A. Chandar
Aaron Courville
Yoshua Bengio
LRM
38
287
0
22 Mar 2016
Beyond Sharing Weights for Deep Domain Adaptation
Beyond Sharing Weights for Deep Domain Adaptation
Artem Rozantsev
Mathieu Salzmann
Pascal Fua
16
439
0
21 Mar 2016
Deep Learning in Bioinformatics
Deep Learning in Bioinformatics
Seonwoo Min
Byunghan Lee
Sungroh Yoon
AI4CE
3DV
36
1,352
0
21 Mar 2016
Neurally-Guided Procedural Models: Amortized Inference for Procedural
  Graphics Programs using Neural Networks
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks
Daniel E. Ritchie
Anna T. Thomas
Pat Hanrahan
Noah D. Goodman
TPM
28
11
0
19 Mar 2016
Improving Hypernymy Detection with an Integrated Path-based and
  Distributional Method
Improving Hypernymy Detection with an Integrated Path-based and Distributional Method
Vered Shwartz
Yoav Goldberg
Ido Dagan
18
235
0
19 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xinyu Wang
Abhinav Gupta
GAN
31
617
0
17 Mar 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
60
4,332
0
16 Mar 2016
Recurrent Dropout without Memory Loss
Recurrent Dropout without Memory Loss
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
32
222
0
16 Mar 2016
Structured and Efficient Variational Deep Learning with Matrix Gaussian
  Posteriors
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors
Christos Louizos
Max Welling
BDL
33
254
0
15 Mar 2016
Object Contour Detection with a Fully Convolutional Encoder-Decoder
  Network
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
Jimei Yang
Brian L. Price
Scott D. Cohen
Honglak Lee
Ming-Hsuan Yang
ObjD
24
365
0
15 Mar 2016
Variational Neural Discourse Relation Recognizer
Variational Neural Discourse Relation Recognizer
Biao Zhang
Deyi Xiong
Jinsong Su
Qun Liu
Rongrong Ji
Hong Duan
Min Zhang
DRL
BDL
28
19
0
12 Mar 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Dmitry Ulyanov
V. Lebedev
Andrea Vedaldi
Victor Lempitsky
3DH
14
943
0
10 Mar 2016
Dynamic Memory Networks for Visual and Textual Question Answering
Dynamic Memory Networks for Visual and Textual Question Answering
Caiming Xiong
Stephen Merity
R. Socher
34
753
0
04 Mar 2016
Neural Architectures for Named Entity Recognition
Neural Architectures for Named Entity Recognition
Guillaume Lample
Miguel Ballesteros
Sandeep Subramanian
Kazuya Kawakami
Chris Dyer
140
3,992
0
04 Mar 2016
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Xuezhe Ma
Eduard H. Hovy
51
2,640
0
04 Mar 2016
Automatic Differentiation Variational Inference
Automatic Differentiation Variational Inference
A. Kucukelbir
Dustin Tran
Rajesh Ranganath
Andrew Gelman
David M. Blei
47
710
0
02 Mar 2016
Continuous Deep Q-Learning with Model-based Acceleration
Continuous Deep Q-Learning with Model-based Acceleration
S. Gu
Timothy Lillicrap
Ilya Sutskever
Sergey Levine
25
1,008
0
02 Mar 2016
PLATO: Policy Learning using Adaptive Trajectory Optimization
PLATO: Policy Learning using Adaptive Trajectory Optimization
G. Kahn
Tianhao Zhang
Sergey Levine
Pieter Abbeel
32
136
0
02 Mar 2016
Easy-First Dependency Parsing with Hierarchical Tree LSTMs
Easy-First Dependency Parsing with Hierarchical Tree LSTMs
E. Kiperwasser
Yoav Goldberg
21
65
0
01 Mar 2016
Scalable Metric Learning via Weighted Approximate Rank Component
  Analysis
Scalable Metric Learning via Weighted Approximate Rank Component Analysis
C. Jose
François Fleuret
29
141
0
01 Mar 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
105
1,926
0
25 Feb 2016
Learning values across many orders of magnitude
Learning values across many orders of magnitude
H. V. Hasselt
A. Guez
Matteo Hessel
Volodymyr Mnih
David Silver
17
169
0
24 Feb 2016
Learning to Generate with Memory
Learning to Generate with Memory
Chongxuan Li
Jun Zhu
Bo Zhang
BDL
24
42
0
24 Feb 2016
Sentence Similarity Learning by Lexical Decomposition and Composition
Sentence Similarity Learning by Lexical Decomposition and Composition
Zhiguo Wang
Haitao Mi
Abraham Ittycheriah
38
198
0
23 Feb 2016
Semi-supervised Clustering for Short Text via Deep Representation
  Learning
Semi-supervised Clustering for Short Text via Deep Representation Learning
Zhiguo Wang
Haitao Mi
Abraham Ittycheriah
SSL
GNN
34
56
0
22 Feb 2016
Variational inference for Monte Carlo objectives
Variational inference for Monte Carlo objectives
A. Mnih
Danilo Jimenez Rezende
DRL
BDL
52
288
0
22 Feb 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
53
17,088
0
17 Feb 2016
Variational Inference for Sparse and Undirected Models
Variational Inference for Sparse and Undirected Models
John Ingraham
D. Marks
25
8
0
11 Feb 2016
Learning Efficient Algorithms with Hierarchical Attentive Memory
Learning Efficient Algorithms with Hierarchical Attentive Memory
Marcin Andrychowicz
Karol Kurach
41
51
0
09 Feb 2016
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation
Colin S. Lea
A. Reiter
René Vidal
Gregory Hager
14
268
0
09 Feb 2016
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent
  Q-Networks
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
18
147
0
08 Feb 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Sander Dieleman
J. Fauw
Koray Kavukcuoglu
20
364
0
08 Feb 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
58
1,350
0
08 Feb 2016
Improved Dropout for Shallow and Deep Learning
Improved Dropout for Shallow and Deep Learning
Zhe Li
Boqing Gong
Tianbao Yang
BDL
SyDa
30
79
0
06 Feb 2016
Recognition of Visually Perceived Compositional Human Actions by
  Multiple Spatio-Temporal Scales Recurrent Neural Networks
Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks
Haanvid Lee
Minju Jung
Jun Tani
30
20
0
05 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
31
8,767
0
04 Feb 2016
A Kronecker-factored approximate Fisher matrix for convolution layers
A Kronecker-factored approximate Fisher matrix for convolution layers
Roger C. Grosse
James Martens
ODL
40
259
0
03 Feb 2016
Long Short-Term Memory-Networks for Machine Reading
Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng
Li Dong
Mirella Lapata
AIMat
RALM
39
1,111
0
25 Jan 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
OOD
35
215
0
25 Jan 2016
Leveraging Sentence-level Information with Encoder LSTM for Semantic
  Slot Filling
Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling
Gakuto Kurata
Bing Xiang
Bowen Zhou
Mo Yu
35
125
0
07 Jan 2016
Multi-Way, Multilingual Neural Machine Translation with a Shared
  Attention Mechanism
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
Orhan Firat
Kyunghyun Cho
Yoshua Bengio
LRM
AIMat
234
624
0
06 Jan 2016
End-to-End Relation Extraction using LSTMs on Sequences and Tree
  Structures
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
Makoto Miwa
Joey Tianyi Zhou
14
1,181
0
05 Jan 2016
Learning Natural Language Inference with LSTM
Learning Natural Language Inference with LSTM
Shuohang Wang
Jing Jiang
37
443
0
30 Dec 2015
Learning Transferrable Knowledge for Semantic Segmentation with Deep
  Convolutional Neural Network
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
Seunghoon Hong
Junhyuk Oh
Bohyung Han
Honglak Lee
SSeg
16
173
0
24 Dec 2015
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural
  Networks
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks
Chunyuan Li
Changyou Chen
David Carlson
Lawrence Carin
ODL
BDL
27
320
0
23 Dec 2015
Semi-supervised Question Retrieval with Gated Convolutions
Semi-supervised Question Retrieval with Gated Convolutions
Tao Lei
Hrishikesh Joshi
Regina Barzilay
Tommi Jaakkola
K. Tymoshenko
Alessandro Moschitti
Lluís Màrquez i Villodre
RALM
32
106
0
17 Dec 2015
A Theoretically Grounded Application of Dropout in Recurrent Neural
  Networks
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Y. Gal
Zoubin Ghahramani
UQCV
DRL
BDL
49
1,642
0
16 Dec 2015
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