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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 / 25,224 papers shown
Title
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
27
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
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
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
390
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
371
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
A. 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
35
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
26
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
M. Kalra
Feng Lin
Yang Chen
Peixi Liao
Jiliu Zhou
Ge Wang
MedIm
36
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
Predicting Auction Price of Vehicle License Plate with Deep Recurrent
  Neural Network
Predicting Auction Price of Vehicle License Plate with Deep Recurrent Neural Network
Vinci Chow
29
19
0
30 Jan 2017
Source localization in an ocean waveguide using supervised machine
  learning
Source localization in an ocean waveguide using supervised machine learning
Haiqiang Niu
Emma Reeves
Peter Gerstoft
13
163
0
29 Jan 2017
The HASYv2 dataset
The HASYv2 dataset
Martin Thoma
VLM
24
36
0
29 Jan 2017
Deep Recurrent Neural Network for Protein Function Prediction from
  Sequence
Deep Recurrent Neural Network for Protein Function Prediction from Sequence
X. Liu
19
94
0
28 Jan 2017
Drug-Drug Interaction Extraction from Biomedical Text Using Long Short
  Term Memory Network
Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network
Sunil Kumar Sahu
Ashish Anand
34
134
0
28 Jan 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
78
4,809
0
26 Jan 2017
An Empirical Analysis of Feature Engineering for Predictive Modeling
An Empirical Analysis of Feature Engineering for Predictive Modeling
Jeff Heaton
8
211
0
26 Jan 2017
Intelligent real-time MEMS sensor fusion and calibration
Intelligent real-time MEMS sensor fusion and calibration
Dušan Nemec
A. Janota
M. Hruboš
V. Simák
19
41
0
26 Jan 2017
On the Effectiveness of Discretizing Quantitative Attributes in Linear
  Classifiers
On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers
Nayyar Zaidi
Yang Du
Geoffrey I. Webb
22
17
0
24 Jan 2017
Deep Network Guided Proof Search
Deep Network Guided Proof Search
Sarah M. Loos
G. Irving
Christian Szegedy
C. Kaliszyk
AIMat
18
157
0
24 Jan 2017
Perceptually Optimized Image Rendering
Perceptually Optimized Image Rendering
Valero Laparra
Alexander Berardino
Johannes Ballé
Eero P. Simoncelli
34
6
0
23 Jan 2017
Outrageously Large Neural Networks: The Sparsely-Gated
  Mixture-of-Experts Layer
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam M. Shazeer
Azalia Mirhoseini
Krzysztof Maziarz
Andy Davis
Quoc V. Le
Geoffrey E. Hinton
J. Dean
MoE
61
2,535
0
23 Jan 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Guo-Jun Qi
GAN
27
350
0
23 Jan 2017
Image De-raining Using a Conditional Generative Adversarial Network
Image De-raining Using a Conditional Generative Adversarial Network
He Zhang
Vishwanath A. Sindagi
Vishal M. Patel
GAN
38
1,010
0
21 Jan 2017
Neural Offset Min-Sum Decoding
Neural Offset Min-Sum Decoding
Loren Lugosch
W. Gross
24
138
0
20 Jan 2017
Temporal Overdrive Recurrent Neural Network
Temporal Overdrive Recurrent Neural Network
F. Bianchi
Michael C. Kampffmeyer
E. Maiorino
Robert Jenssen
AI4TS
29
9
0
18 Jan 2017
Synthesizing Normalized Faces from Facial Identity Features
Synthesizing Normalized Faces from Facial Identity Features
Forrester Cole
David Belanger
Dilip Krishnan
Aaron Sarna
Inbar Mosseri
William T. Freeman
3DH
CVBM
37
141
0
17 Jan 2017
Incremental Learning for Robot Perception through HRI
Incremental Learning for Robot Perception through HRI
Sepehr Valipour
C. P. Quintero
Martin Jägersand
SSL
CLL
19
32
0
17 Jan 2017
Deep Memory Networks for Attitude Identification
Deep Memory Networks for Attitude Identification
Cheng Li
Xiaoxiao Guo
Qiaozhu Mei
29
89
0
16 Jan 2017
DyNet: The Dynamic Neural Network Toolkit
DyNet: The Dynamic Neural Network Toolkit
Graham Neubig
Chris Dyer
Yoav Goldberg
Austin Matthews
Bridger Waleed Ammar
...
Yusuke Oda
Matthew Richardson
Naomi Saphra
Swabha Swayamdipta
Pengcheng Yin
43
386
0
15 Jan 2017
Comprehension-guided referring expressions
Comprehension-guided referring expressions
Ruotian Luo
Gregory Shakhnarovich
ObjD
29
171
0
12 Jan 2017
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain
  Dialog Systems
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems
Chongyang Tao
Lili Mou
Dongyan Zhao
Rui Yan
28
217
0
11 Jan 2017
CNN-based Segmentation of Medical Imaging Data
CNN-based Segmentation of Medical Imaging Data
Baris Kayalibay
Grady Jensen
Patrick van der Smagt
SSeg
33
414
0
11 Jan 2017
Stochastic Generative Hashing
Stochastic Generative Hashing
Bo Dai
Ruiqi Guo
Sanjiv Kumar
Niao He
Le Song
TPM
35
106
0
11 Jan 2017
Towards End-to-End Speech Recognition with Deep Convolutional Neural
  Networks
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks
Wenjie Qu
Mohammad Pezeshki
Philemon Brakel
Saizheng Zhang
Yoshua Bengio
Aaron Courville
27
366
0
10 Jan 2017
Unsupervised Image-to-Image Translation with Generative Adversarial
  Networks
Unsupervised Image-to-Image Translation with Generative Adversarial Networks
Hao Dong
Paarth Neekhara
Chao Wu
Yike Guo
GAN
29
88
0
10 Jan 2017
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based
  Semantic Role Labeling
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling
Diego Marcheggiani
Anton Frolov
Ivan Titov
16
110
0
10 Jan 2017
Unsupervised Learning of Long-Term Motion Dynamics for Videos
Unsupervised Learning of Long-Term Motion Dynamics for Videos
Zelun Luo
Boya Peng
De-An Huang
Alexandre Alahi
Li Fei-Fei
SSL
32
193
0
07 Jan 2017
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