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An overview of gradient descent optimization algorithms

An overview of gradient descent optimization algorithms

15 September 2016
Sebastian Ruder
    ODL
ArXivPDFHTML

Papers citing "An overview of gradient descent optimization algorithms"

50 / 1,016 papers shown
Title
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
48
20
0
18 Oct 2022
An Open-source Benchmark of Deep Learning Models for Audio-visual
  Apparent and Self-reported Personality Recognition
An Open-source Benchmark of Deep Learning Models for Audio-visual Apparent and Self-reported Personality Recognition
Rongfan Liao
Siyang Song
Hatice Gunes
VLM
34
17
0
17 Oct 2022
POGD: Gradient Descent with New Stochastic Rules
POGD: Gradient Descent with New Stochastic Rules
Feihu Han
Sida Xing
Suiyang Khoo
36
0
0
15 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
35
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
39
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
27
8
0
12 Oct 2022
Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics
Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics
S. Rizvi
Akash Awasthi
Maria J. Peláez
Zhihui Wang
V. Cristini
Hien Nguyen
P. Dogra
22
1
0
12 Oct 2022
Towards Theoretically Inspired Neural Initialization Optimization
Towards Theoretically Inspired Neural Initialization Optimization
Yibo Yang
Hong Wang
Haobo Yuan
Zhouchen Lin
32
9
0
12 Oct 2022
Sequential Ensembling for Semantic Segmentation
Sequential Ensembling for Semantic Segmentation
Rawal Khirodkar
Brandon A. Smith
Siddhartha Chandra
Amit Agrawal
A. Criminisi
42
2
0
08 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
50
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
64
0
0
05 Oct 2022
COPILOT: Human-Environment Collision Prediction and Localization from
  Egocentric Videos
COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos
Boxiao Pan
Bokui Shen
Davis Rempe
Despoina Paschalidou
Kaichun Mo
Yanchao Yang
Leonidas J. Guibas
17
2
0
04 Oct 2022
ASAP: Accurate semantic segmentation for real time performance
ASAP: Accurate semantic segmentation for real time performance
Jaewoo Park
Subin Lee
Eon Kim
Byeongjun Moon
Dabeen Yu
Yeonseung Yu
Junghwan Kim
30
0
0
04 Oct 2022
Random orthogonal additive filters: a solution to the
  vanishing/exploding gradient of deep neural networks
Random orthogonal additive filters: a solution to the vanishing/exploding gradient of deep neural networks
Andrea Ceni
ODL
33
3
0
03 Oct 2022
On Physics-Informed Neural Networks for Quantum Computers
On Physics-Informed Neural Networks for Quantum Computers
Stefano Markidis
PINN
34
18
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
56
98
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
PINN
AI4CE
31
21
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
20
1
0
17 Sep 2022
A Transfer Function Design Using A Knowledge Database based on Deep
  Image and Primitive Intensity Profile Features Retrieval
A Transfer Function Design Using A Knowledge Database based on Deep Image and Primitive Intensity Profile Features Retrieval
Y. Jung
J. Kong
J. Kim
14
1
0
14 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
37
3
0
12 Sep 2022
Convergence of Batch Updating Methods with Approximate Gradients and/or
  Noisy Measurements: Theory and Computational Results
Convergence of Batch Updating Methods with Approximate Gradients and/or Noisy Measurements: Theory and Computational Results
Tadipatri Uday
M. Vidyasagar
28
0
0
12 Sep 2022
Deep Learning Models for Detecting Malware Attacks
Deep Learning Models for Detecting Malware Attacks
Pascal Maniriho
A. N. Mahmood
M. Chowdhury
AAML
24
6
0
08 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
43
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
16
6
0
07 Sep 2022
Crowdsourced-based Deep Convolutional Networks for Urban Flood Depth
  Mapping
Crowdsourced-based Deep Convolutional Networks for Urban Flood Depth Mapping
B. Kharazi
A. Behzadan
HAI
27
0
0
06 Sep 2022
Automated Defect Recognition of Castings defects using Neural Networks
Automated Defect Recognition of Castings defects using Neural Networks
Alberto García-Pérez
M. J. Gómez-Silva
A. D. L. Escalera
MedIm
AI4CE
82
23
0
06 Sep 2022
Gait Recognition in the Wild with Multi-hop Temporal Switch
Gait Recognition in the Wild with Multi-hop Temporal Switch
Jinkai Zheng
Xinchen Liu
Xiaoyan Gu
Yaoqi Sun
Chuang Gan
Jiyong Zhang
Wu Liu
C. Yan
CVBM
29
31
0
01 Sep 2022
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge
  Transfer
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer
Junjie Hu
Chenyou Fan
Mete Ozay
Hua Feng
Yuan Gao
Tin Lun Lam
SSL
32
2
0
29 Aug 2022
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule
  towards Flatter Local Minima
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima
Hengyu Liu
Qiang Fu
Lun Du
Tiancheng Zhang
Gensitskiy Yu.
Shi Han
Dongmei Zhang
128
3
0
25 Aug 2022
Bag of Tricks for Out-of-Distribution Generalization
Bag of Tricks for Out-of-Distribution Generalization
Zining Chen
Weiqiu Wang
Zhaohui Hou
Aidong Men
Hong Chen
37
2
0
23 Aug 2022
String-based Molecule Generation via Multi-decoder VAE
String-based Molecule Generation via Multi-decoder VAE
Kisoo Kwon
Kuhwan Jung
Jung-Geun Park
Hwidong Na
Jinwoo Shin
DRL
36
2
0
23 Aug 2022
RAIN: RegulArization on Input and Network for Black-Box Domain
  Adaptation
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation
Qucheng Peng
Zhengming Ding
Lingjuan Lyu
Lichao Sun
Chen Chen
OOD
MLAU
31
18
0
22 Aug 2022
A Novel Plug-and-Play Approach for Adversarially Robust Generalization
A Novel Plug-and-Play Approach for Adversarially Robust Generalization
Deepak Maurya
Adarsh Barik
Jean Honorio
OOD
AAML
46
0
0
19 Aug 2022
Global Convergence of Two-timescale Actor-Critic for Solving Linear
  Quadratic Regulator
Global Convergence of Two-timescale Actor-Critic for Solving Linear Quadratic Regulator
Xu-yang Chen
Jingliang Duan
Yingbin Liang
Lin Zhao
32
6
0
18 Aug 2022
Object Detection for Autonomous Dozers
Object Detection for Autonomous Dozers
Chunfang Liu
Burhaneddin Yaman
19
2
0
17 Aug 2022
Federated Quantum Natural Gradient Descent for Quantum Federated
  Learning
Federated Quantum Natural Gradient Descent for Quantum Federated Learning
Jun Qi
FedML
21
16
0
15 Aug 2022
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN
  Training
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training
Jie You
Jaehoon Chung
Mosharaf Chowdhury
26
75
0
12 Aug 2022
KL-divergence Based Deep Learning for Discrete Time Model
Li Liu
Xiangeng Fang
Di Wang
Weijing Tang
Kevin He
22
1
0
10 Aug 2022
PECCO: A Profit and Cost-oriented Computation Offloading Scheme in
  Edge-Cloud Environment with Improved Moth-flame Optimisation
PECCO: A Profit and Cost-oriented Computation Offloading Scheme in Edge-Cloud Environment with Improved Moth-flame Optimisation
Jiashu Wu
Hao Dai
Yang Wang
Shigen Shen
Chengzhong Xu
10
6
0
09 Aug 2022
Fast Offline Policy Optimization for Large Scale Recommendation
Fast Offline Policy Optimization for Large Scale Recommendation
Otmane Sakhi
D. Rohde
Alexandre Gilotte
OffRL
47
3
0
08 Aug 2022
Data-free Backdoor Removal based on Channel Lipschitzness
Data-free Backdoor Removal based on Channel Lipschitzness
Runkai Zheng
Rong Tang
Jianze Li
Li Liu
AAML
29
104
0
05 Aug 2022
Multiple-hypothesis RNN-T Loss for Unsupervised Fine-tuning and
  Self-training of Neural Transducer
Multiple-hypothesis RNN-T Loss for Unsupervised Fine-tuning and Self-training of Neural Transducer
Cong-Thanh Do
Mohan Li
R. Doddipatla
14
3
0
29 Jul 2022
A Survey of Learning on Small Data: Generalization, Optimization, and
  Challenge
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge
Xiaofeng Cao
Weixin Bu
Sheng-Jun Huang
Minling Zhang
Ivor W. Tsang
Yew-Soon Ong
James T. Kwok
40
1
0
29 Jul 2022
Text Classification in Memristor-based Spiking Neural Networks
Text Classification in Memristor-based Spiking Neural Networks
Jinqi Huang
A. Serb
S. Stathopoulos
T. Prodromakis
11
14
0
27 Jul 2022
End-To-End Audiovisual Feature Fusion for Active Speaker Detection
End-To-End Audiovisual Feature Fusion for Active Speaker Detection
Fiseha B. Tesema
Zheyuan Lin
Shiqiang Zhu
Wei Song
J. Gu
Hong-Chuan Wu
17
4
0
27 Jul 2022
On the benefits of non-linear weight updates
On the benefits of non-linear weight updates
Paul Norridge
23
0
0
25 Jul 2022
Integrating Statistical and Machine Learning Approaches to Identify
  Receptive Field Structure in Neural Populations
Integrating Statistical and Machine Learning Approaches to Identify Receptive Field Structure in Neural Populations
Mehrad Sarmashghi
Shantanu P. Jadhav
U. Eden
31
1
0
25 Jul 2022
Auto Machine Learning for Medical Image Analysis by Unifying the Search
  on Data Augmentation and Neural Architecture
Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture
Jianwei Zhang
Dong Li
Lituan Wang
Lei Zhang
33
2
0
21 Jul 2022
The Anatomy of Video Editing: A Dataset and Benchmark Suite for
  AI-Assisted Video Editing
The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing
Dawit Mureja Argaw
Fabian Caba Heilbron
Joon-Young Lee
Markus Woodson
In So Kweon
VGen
57
23
0
20 Jul 2022
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical
  Scene Segmentation with Limited Annotations
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations
Yang Yu
Zixu Zhao
Yueming Jin
Guangyong Chen
Qi Dou
Pheng-Ann Heng
30
4
0
20 Jul 2022
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