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An overview of gradient descent optimization algorithms
v1v2 (latest)

An overview of gradient descent optimization algorithms

15 September 2016
Sebastian Ruder
    ODL
ArXiv (abs)PDFHTML

Papers citing "An overview of gradient descent optimization algorithms"

50 / 698 papers shown
Title
Online Knowledge Distillation via Multi-branch Diversity Enhancement
Online Knowledge Distillation via Multi-branch Diversity Enhancement
Zheng Li
Ying Huang
Defang Chen
Tianren Luo
Ning Cai
Zhigeng Pan
69
28
0
02 Oct 2020
LEBANONUPRISING: a thorough study of Lebanese tweets
LEBANONUPRISING: a thorough study of Lebanese tweets
Reda Khalaf
Mireille Makary
10
0
0
30 Sep 2020
Learning Thermodynamically Stable and Galilean Invariant Partial
  Differential Equations for Non-equilibrium Flows
Learning Thermodynamically Stable and Galilean Invariant Partial Differential Equations for Non-equilibrium Flows
Juntao Huang
Zhiting Ma
Y. Zhou
W. Yong
AI4CE
63
16
0
28 Sep 2020
Federated Learning with Nesterov Accelerated Gradient
Federated Learning with Nesterov Accelerated Gradient
Zhengjie Yang
Wei Bao
Dong Yuan
Nguyen H. Tran
Albert Y. Zomaya
FedML
68
32
0
18 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
199
80
0
17 Sep 2020
A Qualitative Study of the Dynamic Behavior for Adaptive Gradient
  Algorithms
A Qualitative Study of the Dynamic Behavior for Adaptive Gradient Algorithms
Chao Ma
Lei Wu
E. Weinan
ODL
51
25
0
14 Sep 2020
Variational Preparation of the Sachdev-Ye-Kitaev Thermofield Double
Variational Preparation of the Sachdev-Ye-Kitaev Thermofield Double
V. P. Su
17
8
0
09 Sep 2020
Scaling up Differentially Private Deep Learning with Fast Per-Example
  Gradient Clipping
Scaling up Differentially Private Deep Learning with Fast Per-Example Gradient Clipping
Jaewoo Lee
Daniel Kifer
90
57
0
07 Sep 2020
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention
  Mechanism
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism
L. McClenny
U. Braga-Neto
PINN
98
465
0
07 Sep 2020
An Analysis of Alternating Direction Method of Multipliers for
  Feed-forward Neural Networks
An Analysis of Alternating Direction Method of Multipliers for Feed-forward Neural Networks
Seyedeh Niusha Alavi Foumani
Ce Guo
Wayne Luk
14
1
0
06 Sep 2020
GRAFFL: Gradient-free Federated Learning of a Bayesian Generative Model
GRAFFL: Gradient-free Federated Learning of a Bayesian Generative Model
S. Hahn
Junghye Lee
FedML
28
2
0
29 Aug 2020
On segmentation of pectoralis muscle in digital mammograms by means of
  deep learning
On segmentation of pectoralis muscle in digital mammograms by means of deep learning
H. Soleimani
O. Michailovich
29
21
0
29 Aug 2020
Deep Learning for Constrained Utility Maximisation
Deep Learning for Constrained Utility Maximisation
Ashley Davey
Harry Zheng
54
9
0
26 Aug 2020
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with
  Auxiliary Tasks
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks
Sam Verboven
M. H. Chaudhary
Jeroen Berrevoets
Wouter Verbeke
57
7
0
26 Aug 2020
Gravilon: Applications of a New Gradient Descent Method to Machine
  Learning
Gravilon: Applications of a New Gradient Descent Method to Machine Learning
Chad Kelterborn
Marcin Mazur
B. Petrenko
ODL
35
4
0
26 Aug 2020
Utilizing Explainable AI for Quantization and Pruning of Deep Neural
  Networks
Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks
Muhammad Sabih
Frank Hannig
J. Teich
MQ
117
25
0
20 Aug 2020
Deep learning for photoacoustic imaging: a survey
Deep learning for photoacoustic imaging: a survey
Changchun Yang
Hengrong Lan
Feng Gao
Fei Gao
VLMMedIm
59
21
0
10 Aug 2020
A Survey on Large-scale Machine Learning
A Survey on Large-scale Machine Learning
Meng Wang
Weijie Fu
Xiangnan He
Shijie Hao
Xindong Wu
84
112
0
10 Aug 2020
Machine Learning in Nano-Scale Biomedical Engineering
Machine Learning in Nano-Scale Biomedical Engineering
Alexandros-Apostolos A. Boulogeorgos
Stylianos E. Trevlakis
Sotiris A. Tegos
V. Papanikolaou
G. Karagiannidis
AI4CE
41
30
0
05 Aug 2020
Machine learning for metal additive manufacturing: Predicting
  temperature and melt pool fluid dynamics using physics-informed neural
  networks
Machine learning for metal additive manufacturing: Predicting temperature and melt pool fluid dynamics using physics-informed neural networks
Qiming Zhu
Zeliang Liu
Jinhui Yan
PINNAI4CE
83
307
0
28 Jul 2020
A Comparison of Optimization Algorithms for Deep Learning
A Comparison of Optimization Algorithms for Deep Learning
Derya Soydaner
159
159
0
28 Jul 2020
CNN Detection of GAN-Generated Face Images based on Cross-Band
  Co-occurrences Analysis
CNN Detection of GAN-Generated Face Images based on Cross-Band Co-occurrences Analysis
Mauro Barni
Kassem Kallas
Ehsan Nowroozi
B. Tondi
CVBM
90
76
0
25 Jul 2020
Explainable Rumor Detection using Inter and Intra-feature Attention
  Networks
Explainable Rumor Detection using Inter and Intra-feature Attention Networks
Mingxuan Chen
Ning Wang
K. P. Subbalakshmi
89
8
0
21 Jul 2020
Learn distributed GAN with Temporary Discriminators
Learn distributed GAN with Temporary Discriminators
Hui Qu
Yikai Zhang
Qi Chang
Zhennan Yan
Chao Chen
Dimitris N. Metaxas
FedML
55
16
0
17 Jul 2020
EfficientHRNet: Efficient Scaling for Lightweight High-Resolution
  Multi-Person Pose Estimation
EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation
Christopher Neff
A. Sheth
Steven Furgurson
Hamed Tabkhi
3DH
74
27
0
16 Jul 2020
RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial
  Network
RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network
Chuan Ma
Jun Li
Ming Ding
Bo Liu
Kang Wei
J. Weng
H. Vincent Poor
SyDa
33
21
0
04 Jul 2020
Deep learning of thermodynamics-aware reduced-order models from data
Deep learning of thermodynamics-aware reduced-order models from data
Quercus Hernandez
Alberto Badías
D. González
Francisco Chinesta
Elías Cueto
PINNAI4CE
76
80
0
03 Jul 2020
Influence Functions in Deep Learning Are Fragile
Influence Functions in Deep Learning Are Fragile
S. Basu
Phillip E. Pope
Soheil Feizi
TDI
156
237
0
25 Jun 2020
Explainable CNN-attention Networks (C-Attention Network) for Automated
  Detection of Alzheimer's Disease
Explainable CNN-attention Networks (C-Attention Network) for Automated Detection of Alzheimer's Disease
Ning Wang
Mingxuan Chen
K. P. Subbalakshmi
57
23
0
25 Jun 2020
Large-scale detection and categorization of oil spills from SAR images
  with deep learning
Large-scale detection and categorization of oil spills from SAR images with deep learning
F. Bianchi
M. M. Espeseth
N. Borch
31
70
0
24 Jun 2020
Learning compact generalizable neural representations supporting
  perceptual grouping
Learning compact generalizable neural representations supporting perceptual grouping
Vijay Veerabadran
V. D. Sa
58
2
0
21 Jun 2020
Deep Learning with Functional Inputs
Deep Learning with Functional Inputs
Barinder Thind
Kevin Multani
Jiguo Cao
53
25
0
17 Jun 2020
Almost sure convergence rates for Stochastic Gradient Descent and
  Stochastic Heavy Ball
Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball
Othmane Sebbouh
Robert Mansel Gower
Aaron Defazio
74
23
0
14 Jun 2020
Carathéodory Sampling for Stochastic Gradient Descent
Carathéodory Sampling for Stochastic Gradient Descent
Francesco Cosentino
Harald Oberhauser
Alessandro Abate
43
1
0
02 Jun 2020
A comparative study of 2D image segmentation algorithms for traumatic
  brain lesions using CT data from the ProTECTIII multicenter clinical trial
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trial
Shruti Jadon
Owen P. Leary
I. Pan
Tyler Harder
D. Wright
Lisa H. Merck
D. Merck
69
27
0
01 Jun 2020
A Comprehensive Study of Data Augmentation Strategies for Prostate
  Cancer Detection in Diffusion-weighted MRI using Convolutional Neural
  Networks
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks
Ruqian Hao
Khashayar Namdar
Lin Liu
M. Haider
Farzad Khalvati
MedIm
40
60
0
01 Jun 2020
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Z. Yao
A. Gholami
Sheng Shen
Mustafa Mustafa
Kurt Keutzer
Michael W. Mahoney
ODL
160
287
0
01 Jun 2020
Detecting Problem Statements in Peer Assessments
Detecting Problem Statements in Peer Assessments
Yunkai Xiao
Gabriel Zingle
Qinjin Jia
Harshay Shah
Yi Zhang
...
Ashwin Balasubramaniam
Harshit Patel
Priyankha Bhalasubbramanian
Vikram Patel
E. Gehringer
34
17
0
30 May 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator
  GAN Without Sharing Medical Image Data
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
Qi Chang
Hui Qu
Yikai Zhang
M. Sabuncu
Chao Chen
Tong Zhang
Dimitris N. Metaxas
MedIm
108
83
0
29 May 2020
Generative Adversarial Networks for Bitcoin Data Augmentation
Generative Adversarial Networks for Bitcoin Data Augmentation
Francesco Zola
Jan L. Bruse
Xabier Etxeberria Barrio
M. Galar
Raul Orduna Urrutia
GAN
64
8
0
27 May 2020
Survey: Machine Learning in Production Rendering
Survey: Machine Learning in Production Rendering
Shilin Zhu
3DVAI4CE
21
1
0
26 May 2020
Reliability and Performance Assessment of Federated Learning on Clinical
  Benchmark Data
Reliability and Performance Assessment of Federated Learning on Clinical Benchmark Data
G. Lee
S. Shin
OOD
39
2
0
24 May 2020
An Introduction to Neural Architecture Search for Convolutional Networks
An Introduction to Neural Architecture Search for Convolutional Networks
George Kyriakides
K. Margaritis
AI4CE
90
27
0
22 May 2020
Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech
  Tagging
Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech Tagging
E. Azeraf
E. Monfrini
Emmanuel Vignon
W. Pieczynski
BDL
32
9
0
21 May 2020
Automated Copper Alloy Grain Size Evaluation Using a Deep-learning CNN
Automated Copper Alloy Grain Size Evaluation Using a Deep-learning CNN
George S. Baggs
P. Guerrier
A. Loeb
Jason C. Jones
39
9
0
20 May 2020
LALR: Theoretical and Experimental validation of Lipschitz Adaptive
  Learning Rate in Regression and Neural Networks
LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks
Snehanshu Saha
Tejas Prashanth
Suraj Aralihalli
Sumedh Basarkod
T. Sudarshan
S. Dhavala
27
4
0
19 May 2020
A Combined Data-driven and Physics-driven Method for Steady Heat
  Conduction Prediction using Deep Convolutional Neural Networks
A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks
Hao Ma
Xiangyu Y. Hu
Yuxuan Zhang
Nils Thuerey
O. Haidn
AI4CE
48
12
0
16 May 2020
MixML: A Unified Analysis of Weakly Consistent Parallel Learning
MixML: A Unified Analysis of Weakly Consistent Parallel Learning
Yucheng Lu
J. Nash
Christopher De Sa
FedML
91
12
0
14 May 2020
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics
  Interpretation for Machine Learning applied to Gastrointestinal Tract
  Abnormality Classification
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification
Vajira Thambawita
Debesh Jha
Hugo Lewi Hammer
H. Johansen
Dag Johansen
Pål Halvorsen
Michael A. Riegler
65
45
0
08 May 2020
DeePore: a deep learning workflow for rapid and comprehensive
  characterization of porous materials
DeePore: a deep learning workflow for rapid and comprehensive characterization of porous materials
A. Rabbani
M. Babaei
R. Shams
Ying Da Wang
Traiwit Chung
AI4CE
40
72
0
03 May 2020
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