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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
Using Synthetic Data to Train Neural Networks is Model-Based Reasoning
Using Synthetic Data to Train Neural Networks is Model-Based Reasoning
T. Le
A. G. Baydin
R. Zinkov
Frank Wood
SyDa
OOD
25
89
0
02 Mar 2017
On the Reconstruction of Face Images from Deep Face Templates
On the Reconstruction of Face Images from Deep Face Templates
Guangcan Mai
Kai Cao
Pong C. Yuen
Anil K. Jain
3DH
CVBM
32
182
0
02 Mar 2017
Robust Spatial Filtering with Graph Convolutional Neural Networks
Robust Spatial Filtering with Graph Convolutional Neural Networks
F. Such
Shagan Sah
Miguel Domínguez
Suhas Pillai
Chao Zhang
A. Michael
N. Cahill
R. Ptucha
GNN
37
140
0
02 Mar 2017
A Robust Adaptive Stochastic Gradient Method for Deep Learning
A Robust Adaptive Stochastic Gradient Method for Deep Learning
Çağlar Gülçehre
Jose M. R. Sotelo
Marcin Moczulski
Yoshua Bengio
ODL
24
25
0
02 Mar 2017
Wireless Interference Identification with Convolutional Neural Networks
Wireless Interference Identification with Convolutional Neural Networks
Malte Schmidt
Dimitri Block
U. Meier
26
135
0
02 Mar 2017
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Ryuichi Kiryo
Gang Niu
M. C. D. Plessis
Masashi Sugiyama
38
468
0
02 Mar 2017
A Deep Cascade of Convolutional Neural Networks for MR Image
  Reconstruction
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
Jo Schlemper
Jose Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
41
348
0
01 Mar 2017
ISIC 2017 - Skin Lesion Analysis Towards Melanoma Detection
ISIC 2017 - Skin Lesion Analysis Towards Melanoma Detection
Matt Berseth
19
163
0
01 Mar 2017
Understanding Synthetic Gradients and Decoupled Neural Interfaces
Understanding Synthetic Gradients and Decoupled Neural Interfaces
Wojciech M. Czarnecki
G. Swirszcz
Max Jaderberg
Simon Osindero
Oriol Vinyals
Koray Kavukcuoglu
33
81
0
01 Mar 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos
J. Zico Kolter
39
947
0
01 Mar 2017
Learning to Optimize Neural Nets
Learning to Optimize Neural Nets
Ke Li
Jitendra Malik
23
130
0
01 Mar 2017
Generating Steganographic Images via Adversarial Training
Generating Steganographic Images via Adversarial Training
Jamie Hayes
G. Danezis
AAML
GAN
35
275
0
01 Mar 2017
Learning Deep Nearest Neighbor Representations Using Differentiable
  Boundary Trees
Learning Deep Nearest Neighbor Representations Using Differentiable Boundary Trees
Daniel Zoran
Balaji Lakshminarayanan
Charles Blundell
19
16
0
28 Feb 2017
Improving the Neural GPU Architecture for Algorithm Learning
Improving the Neural GPU Architecture for Algorithm Learning
Kārlis Freivalds
Renars Liepins
25
43
0
28 Feb 2017
Learning Discrete Representations via Information Maximizing
  Self-Augmented Training
Learning Discrete Representations via Information Maximizing Self-Augmented Training
Weihua Hu
Takeru Miyato
Seiya Tokui
Eiichi Matsumoto
Masashi Sugiyama
41
446
0
28 Feb 2017
Learning What Data to Learn
Learning What Data to Learn
Yang Fan
Fei Tian
Tao Qin
Jiang Bian
Tie-Yan Liu
18
79
0
28 Feb 2017
Progress Estimation and Phase Detection for Sequential Processes
Progress Estimation and Phase Detection for Sequential Processes
Xinyu Li
Yanyi Zhang
Jianyu Zhang
Yueyang Chen
Shuhong Chen
Yue Gu
Moliang Zhou
Richard A. Farneth
I. Marsic
R. Burd
22
18
0
28 Feb 2017
eXpose: A Character-Level Convolutional Neural Network with Embeddings
  For Detecting Malicious URLs, File Paths and Registry Keys
eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys
Joshua Saxe
Konstantin Berlin
35
205
0
27 Feb 2017
Boundary-Seeking Generative Adversarial Networks
Boundary-Seeking Generative Adversarial Networks
R. Devon Hjelm
Athul Paul Jacob
Tong Che
Adam Trischler
Kyunghyun Cho
Yoshua Bengio
GAN
23
170
0
27 Feb 2017
Dynamic Word Embeddings
Dynamic Word Embeddings
Robert Bamler
Stephan Mandt
BDL
172
231
0
27 Feb 2017
Visual Translation Embedding Network for Visual Relation Detection
Visual Translation Embedding Network for Visual Relation Detection
Hanwang Zhang
Zawlin Kyaw
Shih-Fu Chang
Tat-Seng Chua
ViT
154
560
0
27 Feb 2017
Improved Variational Autoencoders for Text Modeling using Dilated
  Convolutions
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
Zichao Yang
Zhiting Hu
Ruslan Salakhutdinov
Taylor Berg-Kirkpatrick
30
384
0
27 Feb 2017
Adversarial Networks for the Detection of Aggressive Prostate Cancer
Adversarial Networks for the Detection of Aggressive Prostate Cancer
Simon A. A. Kohl
D. Bonekamp
H. Schlemmer
Kaneschka Yaqubi
Markus Hohenfellner
B. Hadaschik
J. Radtke
Klaus Maier-Hein
MedIm
GAN
27
113
0
26 Feb 2017
Deep Voice: Real-time Neural Text-to-Speech
Deep Voice: Real-time Neural Text-to-Speech
Sercan O. Arik
Mike Chrzanowski
Adam Coates
G. Diamos
Andrew Gibiansky
...
John Miller
Andrew Ng
Jonathan Raiman
Shubho Sengupta
Mohammad Shoeybi
30
612
0
25 Feb 2017
On the Origin of Deep Learning
On the Origin of Deep Learning
Haohan Wang
Bhiksha Raj
MedIm
3DV
VLM
50
223
0
24 Feb 2017
Convolutional Gated Recurrent Neural Network Incorporating Spatial
  Features for Audio Tagging
Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging
Yong-mei Xu
Qiuqiang Kong
Qiang Huang
Wenwu Wang
Mark D. Plumbley
32
102
0
24 Feb 2017
How hard is it to cross the room? -- Training (Recurrent) Neural
  Networks to steer a UAV
How hard is it to cross the room? -- Training (Recurrent) Neural Networks to steer a UAV
Klaas Kelchtermans
Tinne Tuytelaars
32
34
0
24 Feb 2017
Sequence Modeling via Segmentations
Sequence Modeling via Segmentations
Chong-Jun Wang
Yining Wang
Po-Sen Huang
Abdel-rahman Mohamed
Dengyong Zhou
Li Deng
24
44
0
24 Feb 2017
Fine-Grained Entity Type Classification by Jointly Learning
  Representations and Label Embeddings
Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings
A. Abhishek
Ashish Anand
Amit Awekar
30
74
0
22 Feb 2017
Neural Multi-Step Reasoning for Question Answering on Semi-Structured
  Tables
Neural Multi-Step Reasoning for Question Answering on Semi-Structured Tables
Till Haug
O. Ganea
Paulina Grnarova
LMTD
ReLM
LRM
33
38
0
21 Feb 2017
Active One-shot Learning
Active One-shot Learning
Mark P. Woodward
Chelsea Finn
VLM
OffRL
13
130
0
21 Feb 2017
Real-time visual tracking by deep reinforced decision making
Real-time visual tracking by deep reinforced decision making
Janghoon Choi
Junseok Kwon
Kyoung Mu Lee
16
41
0
21 Feb 2017
On Loss Functions for Deep Neural Networks in Classification
On Loss Functions for Deep Neural Networks in Classification
Katarzyna Janocha
Wojciech M. Czarnecki
UQCV
33
546
0
18 Feb 2017
One-Step Time-Dependent Future Video Frame Prediction with a
  Convolutional Encoder-Decoder Neural Network
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network
Vedran Vukotic
S. Pintea
C. Raymond
G. Gravier
Jan van Gemert
26
46
0
14 Feb 2017
Soft Weight-Sharing for Neural Network Compression
Soft Weight-Sharing for Neural Network Compression
Karen Ullrich
Edward Meeds
Max Welling
37
412
0
13 Feb 2017
Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for
  Hand Pose Estimation
Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation
Chengde Wan
Thomas Probst
Luc Van Gool
Angela Yao
GAN
22
149
0
11 Feb 2017
Deep Kernelized Autoencoders
Deep Kernelized Autoencoders
Michael C. Kampffmeyer
Sigurd Løkse
F. Bianchi
Robert Jenssen
L. Livi
41
18
0
08 Feb 2017
Video Frame Synthesis using Deep Voxel Flow
Video Frame Synthesis using Deep Voxel Flow
Ziwei Liu
Raymond A. Yeh
Xiaoou Tang
Yiming Liu
A. Agarwala
38
743
0
08 Feb 2017
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Emma Strubell
Pat Verga
David Belanger
Andrew McCallum
30
391
0
07 Feb 2017
Gated Multimodal Units for Information Fusion
Gated Multimodal Units for Information Fusion
John Arevalo
Thamar Solorio
Manuel Montes-y-Gómez
Fabio Gonzalez
33
373
0
07 Feb 2017
Representations of language in a model of visually grounded speech
  signal
Representations of language in a model of visually grounded speech signal
Grzegorz Chrupała
Lieke Gelderloos
Afra Alishahi
41
131
0
07 Feb 2017
Uncertainty-Aware Reinforcement Learning for Collision Avoidance
Uncertainty-Aware Reinforcement Learning for Collision Avoidance
G. Kahn
Adam R. Villaflor
Vitchyr H. Pong
Pieter Abbeel
Sergey Levine
41
312
0
03 Feb 2017
Multilingual Multi-modal Embeddings for Natural Language Processing
Multilingual Multi-modal Embeddings for Natural Language Processing
Iacer Calixto
Qun Liu
N. Campbell
24
19
0
03 Feb 2017
An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
89
2,177
0
02 Feb 2017
QCD-Aware Recursive Neural Networks for Jet Physics
QCD-Aware Recursive Neural Networks for Jet Physics
Gilles Louppe
Kyunghyun Cho
C. Becot
Kyle Cranmer
BDL
24
189
0
02 Feb 2017
Weakly Supervised Classification in High Energy Physics
Weakly Supervised Classification in High Energy Physics
Lucio Dery
Benjamin Nachman
F. Rubbo
A. Schwartzman
40
119
0
01 Feb 2017
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network
  (RED-CNN)
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)
Hu Chen
Yi Zhang
Mannudeep K. Kalra
Feng Lin
Yang Chen
Peixi Liao
Jiliu Zhou
Ge Wang
MedIm
47
1,292
0
01 Feb 2017
Skip Connections Eliminate Singularities
Skip Connections Eliminate Singularities
Emin Orhan
Xaq Pitkow
36
25
0
31 Jan 2017
Towards Adversarial Retinal Image Synthesis
Towards Adversarial Retinal Image Synthesis
P. Costa
Adrian Galdran
Maria Inês Meyer
M. Abràmoff
M. Niemeijer
A. Mendonça
A. Campilho
GAN
MedIm
30
124
0
31 Jan 2017
Deep Reinforcement Learning for Visual Object Tracking in Videos
Deep Reinforcement Learning for Visual Object Tracking in Videos
Da Zhang
H. Maei
Xin Eric Wang
Yuan-fang Wang
23
115
0
31 Jan 2017
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