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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
End-to-End Instance Segmentation with Recurrent Attention
End-to-End Instance Segmentation with Recurrent Attention
Mengye Ren
R. Zemel
SSeg
30
61
0
30 May 2016
Deep Reinforcement Learning Radio Control and Signal Detection with
  KeRLym, a Gym RL Agent
Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL Agent
Tim O'Shea
T. Clancy
24
19
0
30 May 2016
No bad local minima: Data independent training error guarantees for
  multilayer neural networks
No bad local minima: Data independent training error guarantees for multilayer neural networks
Daniel Soudry
Y. Carmon
19
235
0
26 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
97
78
0
26 May 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
52
929
0
25 May 2016
Neural Universal Discrete Denoiser
Neural Universal Discrete Denoiser
Taesup Moon
Seonwoo Min
Byunghan Lee
Sungroh Yoon
6
20
0
25 May 2016
Learning Multiagent Communication with Backpropagation
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
79
1,138
0
25 May 2016
Sequential Neural Models with Stochastic Layers
Sequential Neural Models with Stochastic Layers
Marco Fraccaro
Søren Kaae Sønderby
Ulrich Paquet
Ole Winther
BDL
65
393
0
24 May 2016
Unsupervised Learning for Physical Interaction through Video Prediction
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
28
1,039
0
23 May 2016
Genetic Architect: Discovering Genomic Structure with Learned Neural
  Architectures
Genetic Architect: Discovering Genomic Structure with Learned Neural Architectures
Laura Deming
S. Targ
Nate Sauder
Diogo Almeida
Chun Jimmie Ye
GNN
35
14
0
23 May 2016
Path-Normalized Optimization of Recurrent Neural Networks with ReLU
  Activations
Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations
Behnam Neyshabur
Yuhuai Wu
Ruslan Salakhutdinov
Nathan Srebro
AI4CE
ODL
27
30
0
23 May 2016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large
  Datasets
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
Aaron Klein
Stefan Falkner
Simon Bartels
Philipp Hennig
Frank Hutter
AI4CE
35
546
0
23 May 2016
A Unifying Framework for Gaussian Process Pseudo-Point Approximations
  using Power Expectation Propagation
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation
T. Bui
Josiah Yan
Richard Turner
26
25
0
23 May 2016
Inductive Bias of Deep Convolutional Networks through Pooling Geometry
Inductive Bias of Deep Convolutional Networks through Pooling Geometry
Nadav Cohen
Amnon Shashua
22
132
0
22 May 2016
Deep convolutional networks on the pitch spiral for musical instrument
  recognition
Deep convolutional networks on the pitch spiral for musical instrument recognition
Vincent Lostanlen
Carmine-Emanuele Cella
25
74
0
21 May 2016
Programming with a Differentiable Forth Interpreter
Programming with a Differentiable Forth Interpreter
Matko Bosnjak
Tim Rocktaschel
Jason Naradowsky
Sebastian Riedel
17
148
0
21 May 2016
Learning shape correspondence with anisotropic convolutional neural
  networks
Learning shape correspondence with anisotropic convolutional neural networks
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
M. Bronstein
3DPC
38
505
0
20 May 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural
  Networks
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks
Philipp Gysel
29
127
0
20 May 2016
Fast $ε$-free Inference of Simulation Models with Bayesian
  Conditional Density Estimation
Fast εεε-free Inference of Simulation Models with Bayesian Conditional Density Estimation
George Papamakarios
Iain Murray
TPM
35
158
0
20 May 2016
A Hierarchical Latent Variable Encoder-Decoder Model for Generating
  Dialogues
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
Iulian Serban
Alessandro Sordoni
Ryan J. Lowe
Laurent Charlin
Joelle Pineau
Aaron Courville
Yoshua Bengio
BDL
69
1,104
0
19 May 2016
Structured Prediction of 3D Human Pose with Deep Neural Networks
Structured Prediction of 3D Human Pose with Deep Neural Networks
Bugra Tekin
Isinsu Katircioglu
Mathieu Salzmann
Vincent Lepetit
Pascal Fua
3DH
41
272
0
17 May 2016
Joint Learning of Sentence Embeddings for Relevance and Entailment
Joint Learning of Sentence Embeddings for Relevance and Entailment
P. Baudis
S. Stanko
Jan Sedivý
18
11
0
16 May 2016
View Synthesis by Appearance Flow
View Synthesis by Appearance Flow
Tinghui Zhou
Shubham Tulsiani
Weilun Sun
Jitendra Malik
Alexei A. Efros
35
689
0
11 May 2016
Structured Receptive Fields in CNNs
Structured Receptive Fields in CNNs
J. Jacobsen
Jan van Gemert
Zhongyu Lou
A. Smeulders
16
107
0
10 May 2016
LightNet: A Versatile, Standalone Matlab-based Environment for Deep
  Learning
LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning
Chengxi Ye
Chen Zhao
Yezhou Yang
Cornelia Fermuller
Yiannis Aloimonos
19
26
0
09 May 2016
Neural Autoregressive Distribution Estimation
Neural Autoregressive Distribution Estimation
Benigno Uria
Marc-Alexandre Côté
Karol Gregor
Iain Murray
Hugo Larochelle
45
313
0
07 May 2016
deepMiRGene: Deep Neural Network based Precursor microRNA Prediction
deepMiRGene: Deep Neural Network based Precursor microRNA Prediction
Seunghyun Park
Seonwoo Min
Hyun-Soo Choi
Sungroh Yoon
21
49
0
29 Apr 2016
Protein Secondary Structure Prediction Using Cascaded Convolutional and
  Recurrent Neural Networks
Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks
Zerui Li
Yizhou Yu
27
118
0
25 Apr 2016
Neural Random Forests
Neural Random Forests
Gérard Biau
Erwan Scornet
Johannes Welbl
UQCV
BDL
17
113
0
25 Apr 2016
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in
  ATARI Games
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games
Xiaoxiao Guo
Satinder Singh
Richard L. Lewis
Honglak Lee
24
55
0
24 Apr 2016
Unsupervised Representation Learning of Structured Radio Communication
  Signals
Unsupervised Representation Learning of Structured Radio Communication Signals
Tim O'Shea
Johnathan Corgan
T. Clancy
AI4TS
SSL
13
88
0
24 Apr 2016
Entity Embeddings of Categorical Variables
Entity Embeddings of Categorical Variables
Cheng Guo
Felix Berkhahn
41
399
0
22 Apr 2016
Right whale recognition using convolutional neural networks
Right whale recognition using convolutional neural networks
Andrei Polzounov
Ilmira Terpugova
Deividas Skiparis
A. Mihai
26
12
0
19 Apr 2016
An Attentive Neural Architecture for Fine-grained Entity Type
  Classification
An Attentive Neural Architecture for Fine-grained Entity Type Classification
Sonse Shimaoka
Pontus Stenetorp
Kentaro Inui
Sebastian Riedel
16
84
0
19 Apr 2016
Learning Dense Correspondence via 3D-guided Cycle Consistency
Learning Dense Correspondence via 3D-guided Cycle Consistency
Tinghui Zhou
Philipp Krahenbuhl
Mathieu Aubry
Qi-Xing Huang
Alexei A. Efros
28
384
0
18 Apr 2016
Text-based LSTM networks for Automatic Music Composition
Text-based LSTM networks for Automatic Music Composition
Keunwoo Choi
Gyorgy Fazekas
Mark Sandler
MGen
19
98
0
18 Apr 2016
Annotation Order Matters: Recurrent Image Annotator for Arbitrary Length
  Image Tagging
Annotation Order Matters: Recurrent Image Annotator for Arbitrary Length Image Tagging
Jiren Jin
Hideki Nakayama
3DV
VLM
30
69
0
18 Apr 2016
Gaussian Copula Variational Autoencoders for Mixed Data
Gaussian Copula Variational Autoencoders for Mixed Data
Suwon Suh
Seungjin Choi
DRL
17
14
0
18 Apr 2016
Learning Temporal Regularity in Video Sequences
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan
Jonghyun Choi
J. Neumann
Amit K. Roy-Chowdhury
L. Davis
50
1,090
0
15 Apr 2016
Precomputed Real-Time Texture Synthesis with Markovian Generative
  Adversarial Networks
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
Chuan Li
Michael Wand
GAN
42
1,431
0
15 Apr 2016
Recurrent Attentional Networks for Saliency Detection
Recurrent Attentional Networks for Saliency Detection
Jason Kuen
Zhenhua Wang
G. Wang
29
238
0
12 Apr 2016
Deep Gate Recurrent Neural Network
Yuan Gao
D. Głowacka
19
61
0
11 Apr 2016
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object
  Reconstruction
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Chris Choy
Danfei Xu
JunYoung Gwak
Kevin Chen
Silvio Savarese
3DV
29
1,706
0
02 Apr 2016
Neural Language Correction with Character-Based Attention
Neural Language Correction with Character-Based Attention
Ziang Xie
Anand Avati
N. Arivazhagan
Dan Jurafsky
A. Ng
36
142
0
31 Mar 2016
LIFT: Learned Invariant Feature Transform
LIFT: Learned Invariant Feature Transform
K. M. Yi
Eduard Trulls
Vincent Lepetit
Pascal Fua
45
1,196
0
30 Mar 2016
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks
  with Symmetric Skip Connections
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections
Xiao-Jiao Mao
Chunhua Shen
Yubin Yang
SupR
21
85
0
30 Mar 2016
Recurrent Batch Normalization
Recurrent Batch Normalization
Tim Cooijmans
Nicolas Ballas
César Laurent
Çağlar Gülçehre
Aaron Courville
ODL
19
410
0
30 Mar 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
75
10,176
0
27 Mar 2016
Pointing the Unknown Words
Pointing the Unknown Words
Çağlar Gülçehre
Sungjin Ahn
Ramesh Nallapati
Bowen Zhou
Yoshua Bengio
19
524
0
26 Mar 2016
Resnet in Resnet: Generalizing Residual Architectures
Resnet in Resnet: Generalizing Residual Architectures
S. Targ
Diogo Almeida
Kevin Lyman
SSeg
34
807
0
25 Mar 2016
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