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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 / 697 papers shown
Title
Construction of Uniform Designs over Continuous Domain in Computer
  Experiments
Construction of Uniform Designs over Continuous Domain in Computer Experiments
Jianfa Lai
K. Fang
Xiao-Ling Peng
Yuxuan Lin
38
3
0
25 Jan 2023
Towards Rigorous Understanding of Neural Networks via
  Semantics-preserving Transformations
Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations
Maximilian Schlüter
Gerrit Nolte
Alnis Murtovi
Bernhard Steffen
75
6
0
19 Jan 2023
SlideVQA: A Dataset for Document Visual Question Answering on Multiple
  Images
SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images
Ryota Tanaka
Kyosuke Nishida
Kosuke Nishida
Taku Hasegawa
Itsumi Saito
Kuniko Saito
66
85
0
12 Jan 2023
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient
  Correction
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction
Bowen Lei
Dongkuan Xu
Ruqi Zhang
Shuren He
Bani Mallick
119
6
0
09 Jan 2023
Fair Multi-Exit Framework for Facial Attribute Classification
Fair Multi-Exit Framework for Facial Attribute Classification
Ching-Hao Chiu
Hao-Wei Chung
Yu-Jen Chen
Yiyu Shi
Tsung-Yi Ho
CVBM
70
4
0
08 Jan 2023
Informed Down-Sampled Lexicase Selection: Identifying productive
  training cases for efficient problem solving
Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving
Ryan Boldi
Martin Briesch
Dominik Sobania
Alexander Lalejini
Thomas Helmuth
Franz Rothlauf
Charles Ofria
Lee Spector
114
23
0
04 Jan 2023
Class-Continuous Conditional Generative Neural Radiance Field
Class-Continuous Conditional Generative Neural Radiance Field
Jiwook Kim
Minhyeok Lee
101
4
0
03 Jan 2023
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and
  Classification for Diabetic Retinopathy Grading
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading
Hasan Md Tusfiqur
D. M. Nguyen
M. T. N. Truong
T. A. Nguyen
Binh Duc Nguyen
...
H. Profitlich
Ngoc T. T. Than
Ngan Le
P. Xie
Daniel Sonntag
MedIm
83
8
0
30 Dec 2022
A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix
  Factorization
A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization
JIAN-PENG Cao
Chao Qian
Yihui Huang
Dicheng Chen
Yuncheng Gao
Jiyang Dong
D. Guo
X. Qu
139
1
0
29 Dec 2022
OrthoGAN:High-Precision Image Generation for Teeth Orthodontic Visualization
OrthoGAN:High-Precision Image Generation for Teeth Orthodontic Visualization
Feihong Shen
Jingjing Liu
Hai-Zhen Li
B. Fang
Chenglong Ma
Jinxiang Hao
Yang Feng
Youyi Zheng
Youyi Zheng
MedImDiffM
219
1
0
29 Dec 2022
VoronoiPatches: Evaluating A New Data Augmentation Method
VoronoiPatches: Evaluating A New Data Augmentation Method
Steffen Illium
Gretchen Griffin
Michael Kolle
Maximilian Zorn
Jonas Nusslein
Claudia Linnhoff-Popien
61
0
0
20 Dec 2022
Analysis and application of multispectral data for water segmentation
  using machine learning
Analysis and application of multispectral data for water segmentation using machine learning
Shubham Gupta
D. Uma
R. Hebbar
97
0
0
16 Dec 2022
Plastic Contaminant Detection in Aerial Imagery of Cotton Fields with
  Deep Learning
Plastic Contaminant Detection in Aerial Imagery of Cotton Fields with Deep Learning
Pappu K. Yadav
J. Thomasson
Robert G Hardin
S. Searcy
U. Braga-Neto
...
R. Rodriguez
Daniel E. Martin
J. Enciso
K. Meza
Emma L. White
90
0
0
14 Dec 2022
On Mini-Batch Training with Varying Length Time Series
On Mini-Batch Training with Varying Length Time Series
Brian Kenji Iwana
AI4TS
48
3
0
13 Dec 2022
HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable
  Design
HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design
Hui Wei
Zhixiang Wang
Xuemei Jia
Yinqiang Zheng
Haoling Tang
Shiníchi Satoh
Zheng Wang
AAML
83
40
0
12 Dec 2022
AP: Selective Activation for De-sparsifying Pruned Neural Networks
AP: Selective Activation for De-sparsifying Pruned Neural Networks
Shiyu Liu
Rohan Ghosh
Dylan Tan
Mehul Motani
AAML
61
0
0
09 Dec 2022
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural
  Networks
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks
Shiyu Liu
Rohan Ghosh
John Tan Chong Min
Mehul Motani
79
0
0
09 Dec 2022
A perspective on physical reservoir computing with nanomagnetic devices
A perspective on physical reservoir computing with nanomagnetic devices
D. Allwood
Matthew O. A. Ellis
David Griffin
T. Hayward
Luca Manneschi
...
Martin A. Trefzer
Eleni Vasilaki
G. Venkat
Ian T. Vidamour
Chester Wringe
44
43
0
09 Dec 2022
Short term prediction of demand for ride hailing services: A deep
  learning approach
Short term prediction of demand for ride hailing services: A deep learning approach
Long Chen
Piyushimita
P. Thakuriah
K. Ampountolas
AI4TS
59
22
0
07 Dec 2022
Generalized Gradient Flows with Provable Fixed-Time Convergence and Fast
  Evasion of Non-Degenerate Saddle Points
Generalized Gradient Flows with Provable Fixed-Time Convergence and Fast Evasion of Non-Degenerate Saddle Points
Mayank Baranwal
Param Budhraja
V. Raj
A. Hota
69
3
0
07 Dec 2022
A Temporal Graph Neural Network for Cyber Attack Detection and
  Localization in Smart Grids
A Temporal Graph Neural Network for Cyber Attack Detection and Localization in Smart Grids
Seyed Hamed Haghshenas
A. Hasnat
M. Naeini
67
28
0
07 Dec 2022
Leveraging Angular Information Between Feature and Classifier for
  Long-tailed Learning: A Prediction Reformulation Approach
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach
Haoxu Wang
Junchi Yan
65
1
0
03 Dec 2022
Brain Tumor MRI Classification using a Novel Deep Residual and Regional
  CNN
Brain Tumor MRI Classification using a Novel Deep Residual and Regional CNN
Mirza Mumtaz Zahoor
Dr. Saddam Hussain Khan
67
31
0
29 Nov 2022
A Particle-based Sparse Gaussian Process Optimizer
A Particle-based Sparse Gaussian Process Optimizer
Minh Nguyen
Omatharv Bharat Vaidya
Yi Wang
43
0
0
26 Nov 2022
Deep Learning Training Procedure Augmentations
Deep Learning Training Procedure Augmentations
Cristian Simionescu
107
1
0
25 Nov 2022
Privacy in Practice: Private COVID-19 Detection in X-Ray Images
  (Extended Version)
Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version)
Lucas Lange
Maja Schneider
Peter Christen
Erhard Rahm
93
7
0
21 Nov 2022
Open-Set Automatic Target Recognition
Open-Set Automatic Target Recognition
Bardia Safaei
VS Vibashan
Celso M. de Melo
Shuowen Hu
Vishal M. Patel
73
10
0
10 Nov 2022
Differentiable Quantum Programming with Unbounded Loops
Differentiable Quantum Programming with Unbounded Loops
Wang Fang
Mingsheng Ying
Xiaodi Wu
38
1
0
08 Nov 2022
A Deep Double Ritz Method (D$^2$RM) for solving Partial Differential
  Equations using Neural Networks
A Deep Double Ritz Method (D2^22RM) for solving Partial Differential Equations using Neural Networks
C. Uriarte
David Pardo
I. Muga
J. Muñoz‐Matute
103
18
0
07 Nov 2022
Optical Channel Impulse Response-Based Localization Using An Artificial
  Neural Network
Optical Channel Impulse Response-Based Localization Using An Artificial Neural Network
Hamid Hosseinianfar
H. Rabbani
M. Brandt-Pearce
31
0
0
02 Nov 2022
Differentiable Model Selection for Ensemble Learning
Differentiable Model Selection for Ensemble Learning
James Kotary
Vincenzo Di Vito
Ferdinando Fioretto
203
9
0
01 Nov 2022
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning
Qingquan Zhang
Jialin Liu
Zeqi Zhang
J. Wen
Bifei Mao
Xin Yao
FaML
79
19
0
30 Oct 2022
Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier
  Networks
Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier Networks
Zhengjie Yang
Sen Fu
Wei Bao
Dong Yuan
Albert Y. Zomaya
FedML
99
7
0
26 Oct 2022
A Continuous Convolutional Trainable Filter for Modelling Unstructured
  Data
A Continuous Convolutional Trainable Filter for Modelling Unstructured Data
Dario Coscia
L. Meneghetti
N. Demo
G. Stabile
G. Rozza
84
8
0
24 Oct 2022
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear
  Optimization Problems
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
Aaron Ferber
Taoan Huang
Daochen Zha
M. Schubert
Benoit Steiner
B. Dilkina
Yuandong Tian
102
22
0
22 Oct 2022
Differentiable Self-Adaptive Learning Rate
Differentiable Self-Adaptive Learning Rate
Bozhou Chen
Hongzhi Wang
Chenmin Ba
ODL
33
4
0
19 Oct 2022
Layer-wise Relevance Propagation for Echo State Networks applied to
  Earth System Variability
Layer-wise Relevance Propagation for Echo State Networks applied to Earth System Variability
Marco Landt-Hayen
Peer Kröger
Martin Claus
W. Rath
38
4
0
18 Oct 2022
DPIS: An Enhanced Mechanism for Differentially Private SGD with
  Importance Sampling
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling
Jianxin Wei
Ergute Bao
X. Xiao
Yifan Yang
90
21
0
18 Oct 2022
BLOX: Macro Neural Architecture Search Benchmark and Algorithms
BLOX: Macro Neural Architecture Search Benchmark and Algorithms
Thomas C. P. Chau
Łukasz Dudziak
Hongkai Wen
Nicholas D. Lane
Mohamed S. Abdelfattah
72
13
0
13 Oct 2022
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
Yi Zeng
Minzhou Pan
Himanshu Jahagirdar
Ming Jin
Lingjuan Lyu
R. Jia
AAML
85
21
0
12 Oct 2022
AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs
AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs
S. Dubey
S. Singh
B. B. Chaudhuri
ODL
60
8
0
12 Oct 2022
Scaling up Stochastic Gradient Descent for Non-convex Optimisation
Scaling up Stochastic Gradient Descent for Non-convex Optimisation
S. Mohamad
H. Alamri
A. Bouchachia
85
3
0
06 Oct 2022
FedMT: Federated Learning with Mixed-type Labels
FedMT: Federated Learning with Mixed-type Labels
Qiong Zhang
Jing Peng
Xin Zhang
A. Talhouk
Gang Niu
Xiaoxiao Li
FedML
135
0
0
05 Oct 2022
On Physics-Informed Neural Networks for Quantum Computers
On Physics-Informed Neural Networks for Quantum Computers
Stefano Markidis
PINN
90
19
0
28 Sep 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset
  Copyright Protection
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
Yiming Li
Yang Bai
Yong Jiang
Yong-Liang Yang
Shutao Xia
Bo Li
AAML
142
110
0
27 Sep 2022
Investigating and Mitigating Failure Modes in Physics-informed Neural
  Networks (PINNs)
Investigating and Mitigating Failure Modes in Physics-informed Neural Networks (PINNs)
S. Basir
PINNAI4CE
114
24
0
20 Sep 2022
A study on the deviations in performance of FNNs and CNNs in the realm
  of grayscale adversarial images
A study on the deviations in performance of FNNs and CNNs in the realm of grayscale adversarial images
Durga Shree Nagabushanam
Steve Mathew
C. L. Chowdhary
AAML
117
1
0
17 Sep 2022
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text
Abhinav Java
Shripad Deshmukh
Milan Aggarwal
Surgan Jandial
Mausoom Sarkar
Balaji Krishnamurthy
56
3
0
12 Sep 2022
Modelling of physical systems with a Hopf bifurcation using mechanistic
  models and machine learning
Modelling of physical systems with a Hopf bifurcation using mechanistic models and machine learning
K. H. Lee
David A.W. Barton
L. Renson
76
12
0
07 Sep 2022
Parallel and Streaming Wavelet Neural Networks for Classification and
  Regression under Apache Spark
Parallel and Streaming Wavelet Neural Networks for Classification and Regression under Apache Spark
E Venkatesh
Yelleti Vivek
V. Ravi
Shiva Shankar Orsu
63
6
0
07 Sep 2022
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