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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 / 25,511 papers shown
Title
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial
  Networks
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis
N. Silberman
David Dohan
D. Erhan
Dilip Krishnan
OOD
GAN
104
1,530
0
16 Dec 2016
Learning Residual Images for Face Attribute Manipulation
Learning Residual Images for Face Attribute Manipulation
Wei Shen
Rujie Liu
CVBM
GAN
23
252
0
16 Dec 2016
On the Potential of Simple Framewise Approaches to Piano Transcription
On the Potential of Simple Framewise Approaches to Piano Transcription
Rainer Kelz
Matthias Dorfer
Filip Korzeniowski
Sebastian Böck
A. Arzt
Gerhard Widmer
38
124
0
15 Dec 2016
Coupling Adaptive Batch Sizes with Learning Rates
Coupling Adaptive Batch Sizes with Learning Rates
Lukas Balles
Javier Romero
Philipp Hennig
ODL
21
110
0
15 Dec 2016
A Fully Convolutional Deep Auditory Model for Musical Chord Recognition
A Fully Convolutional Deep Auditory Model for Musical Chord Recognition
Filip Korzeniowski
Gerhard Widmer
24
81
0
15 Dec 2016
Feature Learning for Chord Recognition: The Deep Chroma Extractor
Feature Learning for Chord Recognition: The Deep Chroma Extractor
Filip Korzeniowski
Gerhard Widmer
25
81
0
15 Dec 2016
The More You Know: Using Knowledge Graphs for Image Classification
The More You Know: Using Knowledge Graphs for Image Classification
Kenneth Marino
Ruslan Salakhutdinov
Abhinav Gupta
GNN
OCL
41
345
0
14 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance
Harmonic Networks: Deep Translation and Rotation Equivariance
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
80
700
0
14 Dec 2016
Disentangling Space and Time in Video with Hierarchical Variational
  Auto-encoders
Disentangling Space and Time in Video with Hierarchical Variational Auto-encoders
Will Grathwohl
Aaron Wilson
DRL
32
21
0
14 Dec 2016
Fast Patch-based Style Transfer of Arbitrary Style
Fast Patch-based Style Transfer of Arbitrary Style
T. Chen
Mark Schmidt
38
378
0
13 Dec 2016
Multi-Perspective Context Matching for Machine Comprehension
Multi-Perspective Context Matching for Machine Comprehension
Zhiguo Wang
Haitao Mi
Wael Hamza
Radu Florian
RALM
28
159
0
13 Dec 2016
An empirical analysis of the optimization of deep network loss surfaces
An empirical analysis of the optimization of deep network loss surfaces
Daniel Jiwoong Im
Michael Tao
K. Branson
ODL
35
62
0
13 Dec 2016
Generalized Deep Image to Image Regression
Generalized Deep Image to Image Regression
Venkataraman Santhanam
Vlad I. Morariu
L. Davis
3DV
29
71
0
10 Dec 2016
ActionFlowNet: Learning Motion Representation for Action Recognition
ActionFlowNet: Learning Motion Representation for Action Recognition
Joe Yue-Hei Ng
Jonghyun Choi
J. Neumann
L. Davis
36
117
0
09 Dec 2016
Predicting Ground-Level Scene Layout from Aerial Imagery
Predicting Ground-Level Scene Layout from Aerial Imagery
Menghua Zhai
Zachary Bessinger
Scott Workman
Nathan Jacobs
43
223
0
08 Dec 2016
Entity Identification as Multitasking
Entity Identification as Multitasking
K. Stratos
32
4
0
08 Dec 2016
Towards better decoding and language model integration in sequence to
  sequence models
Towards better decoding and language model integration in sequence to sequence models
J. Chorowski
Navdeep Jaitly
17
368
0
08 Dec 2016
Multi-source Transfer Learning with Convolutional Neural Networks for
  Lung Pattern Analysis
Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis
Stergios Christodoulidis
M. Anthimopoulos
L. Ebner
Andreas Christe
Stavroula Mougiakakou
16
133
0
08 Dec 2016
AGA: Attribute Guided Augmentation
AGA: Attribute Guided Augmentation
Mandar Dixit
Roland Kwitt
Marc Niethammer
Nuno Vasconcelos
GAN
37
100
0
08 Dec 2016
Model-based Adversarial Imitation Learning
Model-based Adversarial Imitation Learning
Nir Baram
Oron Anschel
Shie Mannor
GAN
22
42
0
07 Dec 2016
Deep Multi-scale Convolutional Neural Network for Dynamic Scene
  Deblurring
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
Seungjun Nah
Tae Hyun Kim
Kyoung Mu Lee
90
1,951
0
07 Dec 2016
Predictive Business Process Monitoring with LSTM Neural Networks
Predictive Business Process Monitoring with LSTM Neural Networks
Niek Tax
I. Verenich
M. Rosa
Marlon Dumas
22
443
0
07 Dec 2016
ExtremeWeather: A large-scale climate dataset for semi-supervised
  detection, localization, and understanding of extreme weather events
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
Evan Racah
Christopher Beckham
Tegan Maharaj
Samira Ebrahimi Kahou
P. Prabhat
C. Pal
27
18
0
07 Dec 2016
Condensed Memory Networks for Clinical Diagnostic Inferencing
Condensed Memory Networks for Clinical Diagnostic Inferencing
Aaditya (Adi) Prakash
Siyuan Zhao
Sadid A. Hasan
Vivek Datla
Kathy Lee
Ashequl Qadir
Joey Liu
Oladimeji Farri
22
102
0
06 Dec 2016
Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text
  Translation
Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation
Alexandre Berard
Olivier Pietquin
Christophe Servan
Laurent Besacier
43
314
0
06 Dec 2016
Sequential Matching Network: A New Architecture for Multi-turn Response
  Selection in Retrieval-based Chatbots
Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots
Yu-Huan Wu
Wei Wu
Chen Xing
Ming Zhou
Zhoujun Li
38
493
0
06 Dec 2016
Towards the Limit of Network Quantization
Towards the Limit of Network Quantization
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
22
191
0
05 Dec 2016
On-Demand Learning for Deep Image Restoration
On-Demand Learning for Deep Image Restoration
Ruohan Gao
Kristen Grauman
35
78
0
05 Dec 2016
Cryptocurrency Portfolio Management with Deep Reinforcement Learning
Cryptocurrency Portfolio Management with Deep Reinforcement Learning
Zhengyao Jiang
Jinjun Liang
AIFin
26
206
0
05 Dec 2016
Known Unknowns: Uncertainty Quality in Bayesian Neural Networks
Known Unknowns: Uncertainty Quality in Bayesian Neural Networks
Ramon Oliveira
Pedro Tabacof
Eduardo Valle
BDL
UQCV
20
7
0
05 Dec 2016
Who is Mistaken?
Who is Mistaken?
Benjamin Eysenbach
Carl Vondrick
Antonio Torralba
35
15
0
04 Dec 2016
Learning to superoptimize programs - Workshop Version
Learning to superoptimize programs - Workshop Version
Rudy Bunel
Alban Desmaison
M. P. Kumar
Philip Torr
Pushmeet Kohli
27
10
0
04 Dec 2016
Trained Ternary Quantization
Trained Ternary Quantization
Chenzhuo Zhu
Song Han
Huizi Mao
W. Dally
MQ
86
1,035
0
04 Dec 2016
Areas of Attention for Image Captioning
Areas of Attention for Image Captioning
M. Pedersoli
Thomas Lucas
Cordelia Schmid
Jakob Verbeek
33
205
0
03 Dec 2016
Short-term traffic flow forecasting with spatial-temporal correlation in
  a hybrid deep learning framework
Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
Yuankai Wu
Huachun Tan
AI4TS
34
249
0
03 Dec 2016
End-to-end learning of brain tissue segmentation from imperfect labeling
End-to-end learning of brain tissue segmentation from imperfect labeling
A. Fedorov
Jeremy Johnson
Eswar Damaraju
Alexei Ozerin
Vince D. Calhoun
Sergey Plis
MedIm
19
47
0
03 Dec 2016
End-to-End Joint Learning of Natural Language Understanding and Dialogue
  Manager
End-to-End Joint Learning of Natural Language Understanding and Dialogue Manager
Xuesong Yang
Yun-Nung Chen
Dilek Z. Hakkani-Tür
Paul A. Crook
Xiujun Li
Jianfeng Gao
Li Deng
32
79
0
03 Dec 2016
Self-critical Sequence Training for Image Captioning
Self-critical Sequence Training for Image Captioning
Steven J. Rennie
E. Marcheret
Youssef Mroueh
Jerret Ross
Vaibhava Goel
34
1,880
0
02 Dec 2016
Breast Mass Classification from Mammograms using Deep Convolutional
  Neural Networks
Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks
Daniel Levy
Arzav Jain
MedIm
23
206
0
02 Dec 2016
Learning Shape Abstractions by Assembling Volumetric Primitives
Learning Shape Abstractions by Assembling Volumetric Primitives
Shubham Tulsiani
Hao Su
Leonidas J. Guibas
Alexei A. Efros
Jitendra Malik
39
358
0
01 Dec 2016
Definition Modeling: Learning to define word embeddings in natural
  language
Definition Modeling: Learning to define word embeddings in natural language
Thanapon Noraset
Chen Liang
Larry Birnbaum
Doug Downey
25
124
0
01 Dec 2016
Anomaly Detection in Video Using Predictive Convolutional Long
  Short-Term Memory Networks
Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networks
J. Medel
Andreas E. Savakis
DRL
AI4TS
30
238
0
01 Dec 2016
Improved Image Captioning via Policy Gradient optimization of SPIDEr
Improved Image Captioning via Policy Gradient optimization of SPIDEr
Siqi Liu
Zhenhai Zhu
Ning Ye
S. Guadarrama
Kevin Patrick Murphy
42
442
0
01 Dec 2016
Learning to Generate Images of Outdoor Scenes from Attributes and
  Semantic Layouts
Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts
Levent Karacan
Zeynep Akata
Aykut Erdem
Erkut Erdem
GAN
36
186
0
01 Dec 2016
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using
  Householder Reflections
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
Zakaria Mhammedi
Andrew D. Hellicar
Ashfaqur Rahman
James Bailey
37
129
0
01 Dec 2016
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network
  for Hyperspectral Image Classification
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification
Anirban Santara
Kaustubh Mani
Pranoot Hatwar
Ankit Singh
Ankur Garg
K. Padia
Pabitra Mitra
43
135
0
01 Dec 2016
Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive
  Architectures
Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures
Gaurav Mittal
Tanya Marwah
V. Balasubramanian
VGen
DiffM
41
67
0
30 Nov 2016
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
71
1,461
0
29 Nov 2016
Capacity and Trainability in Recurrent Neural Networks
Capacity and Trainability in Recurrent Neural Networks
Jasmine Collins
Jascha Narain Sohl-Dickstein
David Sussillo
35
203
0
29 Nov 2016
Improving Variational Auto-Encoders using Householder Flow
Improving Variational Auto-Encoders using Householder Flow
Jakub M. Tomczak
Max Welling
BDL
DRL
37
173
0
29 Nov 2016
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