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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
DNA-Level Splice Junction Prediction using Deep Recurrent Neural
  Networks
DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks
Byunghan Lee
Taehoon Lee
Byunggook Na
Sungroh Yoon
33
43
0
16 Dec 2015
Memory-based control with recurrent neural networks
Memory-based control with recurrent neural networks
N. Heess
Jonathan J. Hunt
Timothy Lillicrap
David Silver
35
301
0
14 Dec 2015
Recurrent Instance Segmentation
Recurrent Instance Segmentation
Bernardino Romera-Paredes
Philip Torr
SSeg
27
329
0
25 Nov 2015
Neural GPUs Learn Algorithms
Neural GPUs Learn Algorithms
Lukasz Kaiser
Ilya Sutskever
36
367
0
25 Nov 2015
Towards Universal Paraphrastic Sentence Embeddings
Towards Universal Paraphrastic Sentence Embeddings
John Wieting
Joey Tianyi Zhou
Kevin Gimpel
Karen Livescu
AI4TS
30
552
0
25 Nov 2015
Dynamic Capacity Networks
Dynamic Capacity Networks
Amjad Almahairi
Nicolas Ballas
Tim Cooijmans
Yin Zheng
Hugo Larochelle
Aaron Courville
33
96
0
24 Nov 2015
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
Justin Johnson
A. Karpathy
Li Fei-Fei
VLM
74
1,160
0
24 Nov 2015
Black box variational inference for state space models
Black box variational inference for state space models
Evan Archer
Il Memming Park
Lars Buesing
John P. Cunningham
Liam Paninski
BDL
37
160
0
23 Nov 2015
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
Francesco Visin
Marco Ciccone
Adriana Romero
Kyle Kastner
Kyunghyun Cho
Yoshua Bengio
Matteo Matteucci
Aaron Courville
VLM
SSeg
19
251
0
22 Nov 2015
Data-dependent Initializations of Convolutional Neural Networks
Data-dependent Initializations of Convolutional Neural Networks
Philipp Krahenbuhl
Carl Doersch
Jeff Donahue
Trevor Darrell
VLM
47
202
0
21 Nov 2015
Adding Gradient Noise Improves Learning for Very Deep Networks
Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan
Luke Vilnis
Quoc V. Le
Ilya Sutskever
Lukasz Kaiser
Karol Kurach
James Martens
AI4CE
ODL
27
541
0
21 Nov 2015
Superpixel Convolutional Networks using Bilateral Inceptions
Superpixel Convolutional Networks using Bilateral Inceptions
Raghudeep Gadde
Varun Jampani
Martin Kiefel
Daniel Kappler
Peter V. Gehler
SSeg
SupR
30
129
0
20 Nov 2015
Hand Pose Estimation through Semi-Supervised and Weakly-Supervised
  Learning
Hand Pose Estimation through Semi-Supervised and Weakly-Supervised Learning
Natalia Neverova
Christian Wolf
Florian Nebout
Graham W. Taylor
MDE
3DH
14
47
0
20 Nov 2015
Scalable Gradient-Based Tuning of Continuous Regularization
  Hyperparameters
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
Jelena Luketina
Mathias Berglund
Klaus Greff
T. Raiko
29
173
0
20 Nov 2015
Multi-view 3D Models from Single Images with a Convolutional Network
Multi-view 3D Models from Single Images with a Convolutional Network
Maxim Tatarchenko
Alexey Dosovitskiy
Thomas Brox
3DV
22
382
0
20 Nov 2015
Direct Prediction of 3D Body Poses from Motion Compensated Sequences
Direct Prediction of 3D Body Poses from Motion Compensated Sequences
Bugra Tekin
Artem Rozantsev
Vincent Lepetit
Pascal Fua
3DH
17
206
0
20 Nov 2015
Modeling the Temporal Nature of Human Behavior for Demographics
  Prediction
Modeling the Temporal Nature of Human Behavior for Demographics Prediction
Bjarke Felbo
P. Sundsøy
Alex Pentland
Sune Lehmann
Yves-Alexandre de Montjoye
27
14
0
20 Nov 2015
On the energy landscape of deep networks
On the energy landscape of deep networks
Pratik Chaudhari
Stefano Soatto
ODL
43
27
0
20 Nov 2015
A convnet for non-maximum suppression
A convnet for non-maximum suppression
J. Hosang
Rodrigo Benenson
Bernt Schiele
23
74
0
19 Nov 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
143
13,937
0
19 Nov 2015
Delving Deeper into Convolutional Networks for Learning Video
  Representations
Delving Deeper into Convolutional Networks for Learning Video Representations
Nicolas Ballas
L. Yao
C. Pal
Aaron Courville
MDE
37
692
0
19 Nov 2015
Learning to Generate Images with Perceptual Similarity Metrics
Learning to Generate Images with Perceptual Similarity Metrics
Jake C. Snell
Karl Ridgeway
Renjie Liao
Brett D. Roads
Michael C. Mozer
R. Zemel
EGVM
27
177
0
19 Nov 2015
Neural Random-Access Machines
Neural Random-Access Machines
Karol Kurach
Marcin Andrychowicz
Ilya Sutskever
OOD
BDL
34
156
0
19 Nov 2015
Order-Embeddings of Images and Language
Order-Embeddings of Images and Language
Ivan Vendrov
Ryan Kiros
Sanja Fidler
R. Urtasun
37
543
0
19 Nov 2015
Online Batch Selection for Faster Training of Neural Networks
Online Batch Selection for Faster Training of Neural Networks
I. Loshchilov
Frank Hutter
ODL
37
298
0
19 Nov 2015
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
Emilio Parisotto
Jimmy Lei Ba
Ruslan Salakhutdinov
OffRL
30
591
0
19 Nov 2015
Neural Programmer-Interpreters
Neural Programmer-Interpreters
Scott E. Reed
Nando de Freitas
42
405
0
19 Nov 2015
Stochastic modified equations and adaptive stochastic gradient
  algorithms
Stochastic modified equations and adaptive stochastic gradient algorithms
Qianxiao Li
Cheng Tai
E. Weinan
30
280
0
19 Nov 2015
Principled Parallel Mean-Field Inference for Discrete Random Fields
Principled Parallel Mean-Field Inference for Discrete Random Fields
Pierre Baqué
Timur M. Bagautdinov
François Fleuret
Pascal Fua
FedML
26
25
0
19 Nov 2015
Variable Rate Image Compression with Recurrent Neural Networks
Variable Rate Image Compression with Recurrent Neural Networks
G. Toderici
Sean M. O'Malley
S. Hwang
Damien Vincent
David C. Minnen
S. Baluja
Michele Covell
Rahul Sukthankar
33
667
0
19 Nov 2015
Overcoming Language Variation in Sentiment Analysis with Social
  Attention
Overcoming Language Variation in Sentiment Analysis with Social Attention
Yi Yang
Jacob Eisenstein
23
91
0
19 Nov 2015
Neural Variational Inference for Text Processing
Neural Variational Inference for Text Processing
Yishu Miao
Lei Yu
Phil Blunsom
VLM
DRL
28
616
0
19 Nov 2015
Segmental Recurrent Neural Networks
Segmental Recurrent Neural Networks
Lingpeng Kong
Chris Dyer
Noah A. Smith
17
124
0
18 Nov 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
34
3,763
0
18 Nov 2015
ACDC: A Structured Efficient Linear Layer
ACDC: A Structured Efficient Linear Layer
Marcin Moczulski
Misha Denil
J. Appleyard
Nando de Freitas
38
98
0
18 Nov 2015
Image Question Answering using Convolutional Neural Network with Dynamic
  Parameter Prediction
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction
Hyeonwoo Noh
Paul Hongsuck Seo
Bohyung Han
OOD
33
327
0
18 Nov 2015
Super-Resolution with Deep Convolutional Sufficient Statistics
Super-Resolution with Deep Convolutional Sufficient Statistics
Joan Bruna
Pablo Sprechmann
Yann LeCun
SupR
28
323
0
18 Nov 2015
Predicting distributions with Linearizing Belief Networks
Predicting distributions with Linearizing Belief Networks
Yann N. Dauphin
David Grangier
34
18
0
17 Nov 2015
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
107
3,262
0
17 Nov 2015
Jet-Images -- Deep Learning Edition
Jet-Images -- Deep Learning Edition
Luke de Oliveira
Michael Kagan
Lester W. Mackey
Benjamin Nachman
A. Schwartzman
PINN
20
310
0
16 Nov 2015
Deep Kalman Filters
Deep Kalman Filters
Rahul G. Krishnan
Uri Shalit
David Sontag
BDL
AI4TS
36
370
0
16 Nov 2015
Neural Programmer: Inducing Latent Programs with Gradient Descent
Neural Programmer: Inducing Latent Programs with Gradient Descent
Arvind Neelakantan
Quoc V. Le
Ilya Sutskever
ODL
35
260
0
16 Nov 2015
Learning to Represent Words in Context with Multilingual Supervision
Learning to Represent Words in Context with Multilingual Supervision
Kazuya Kawakami
Chris Dyer
31
16
0
14 Nov 2015
Learning to Assign Orientations to Feature Points
Learning to Assign Orientations to Feature Points
K. M. Yi
Yannick Verdié
Pascal Fua
Vincent Lepetit
30
124
0
13 Nov 2015
Action Recognition using Visual Attention
Action Recognition using Visual Attention
Shikhar Sharma
Ryan Kiros
Ruslan Salakhutdinov
24
666
0
12 Nov 2015
Facial Landmark Detection with Tweaked Convolutional Neural Networks
Facial Landmark Detection with Tweaked Convolutional Neural Networks
Yue Wu
Tal Hassner
Kanggeon Kim
Gérard Medioni
Premkumar Natarajan
CVBM
28
173
0
12 Nov 2015
Hierarchical Recurrent Neural Encoder for Video Representation with
  Application to Captioning
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning
Pingbo Pan
Zhongwen Xu
Yi Yang
Fei Wu
Yueting Zhuang
24
385
0
11 Nov 2015
Visual7W: Grounded Question Answering in Images
Visual7W: Grounded Question Answering in Images
Yuke Zhu
Oliver Groth
Michael S. Bernstein
Li Fei-Fei
44
875
0
11 Nov 2015
Black-box $α$-divergence Minimization
Black-box ααα-divergence Minimization
José Miguel Hernández-Lobato
Yingzhen Li
Mark Rowland
Daniel Hernández-Lobato
T. Bui
Richard Turner
23
137
0
10 Nov 2015
adaQN: An Adaptive Quasi-Newton Algorithm for Training RNNs
adaQN: An Adaptive Quasi-Newton Algorithm for Training RNNs
N. Keskar
A. Berahas
ODL
9
34
0
04 Nov 2015
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