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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 / 1,006 papers shown
Title
Node Classification via Semantic-Structural Attention-Enhanced Graph
  Convolutional Networks
Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networks
Hongyin Zhu
GNN
43
0
0
24 Mar 2024
Depth Estimation fusing Image and Radar Measurements with Uncertain
  Directions
Depth Estimation fusing Image and Radar Measurements with Uncertain Directions
Masaya Kotani
Takeru Oba
Norimichi Ukita
MDE
26
0
0
23 Mar 2024
An In-Depth Analysis of Data Reduction Methods for Sustainable Deep
  Learning
An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning
Víctor Toscano-Durán
Javier Perera-Lago
Eduardo Paluzo-Hidalgo
Rocio Gonzalez-Diaz
Miguel A. Gutiérrez-Naranjo
Matteo Rucco
32
1
0
22 Mar 2024
Gradient-based Sampling for Class Imbalanced Semi-supervised Object
  Detection
Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
Jiaming Li
Xiangru Lin
Wei Zhang
Xiao Tan
Yingying Li
Junyu Han
Errui Ding
Jingdong Wang
Guanbin Li
42
8
0
22 Mar 2024
Optimal Flow Matching: Learning Straight Trajectories in Just One Step
Optimal Flow Matching: Learning Straight Trajectories in Just One Step
Nikita Kornilov
Petr Mokrov
Alexander Gasnikov
Alexander Korotin
34
11
0
19 Mar 2024
The Power of Few: Accelerating and Enhancing Data Reweighting with
  Coreset Selection
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection
Mohammad Jafari
Yimeng Zhang
Yihua Zhang
Sijia Liu
41
2
0
18 Mar 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With
  FGSM
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
Linyu Tang
Lei Zhang
AAML
35
3
0
18 Mar 2024
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal
  Instance Segmentation
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation
Minh-Triet Tran
Winston Bounsavy
Khoa T. Vo
Anh Nguyen
Tri Minh Nguyen
Ngan Le
ViT
32
2
0
18 Mar 2024
YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray Images
YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray Images
Chun-Tse Chien
Ruikang Ju
Kuang-Yi Chou
Jen-Shiun Chiang
MedIm
32
38
0
17 Mar 2024
CPA-Enhancer: Chain-of-Thought Prompted Adaptive Enhancer for Object
  Detection under Unknown Degradations
CPA-Enhancer: Chain-of-Thought Prompted Adaptive Enhancer for Object Detection under Unknown Degradations
Yuwei Zhang
Yan Wu
Yanming Liu
Xinyue Peng
51
5
0
17 Mar 2024
A Selective Review on Statistical Methods for Massive Data Computation:
  Distributed Computing, Subsampling, and Minibatch Techniques
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
Xuetong Li
Yuan Gao
Hong Chang
Danyang Huang
Yingying Ma
...
Ke Xu
Jing Zhou
Xuening Zhu
Yingqiu Zhu
Hansheng Wang
44
7
0
17 Mar 2024
Batch-oriented Element-wise Approximate Activation for
  Privacy-Preserving Neural Networks
Batch-oriented Element-wise Approximate Activation for Privacy-Preserving Neural Networks
Peng Zhang
Ao Duan
Xianglu Zou
Yuhong Liu
21
0
0
16 Mar 2024
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive
  Prompt
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
Chenxi Liu
Zhenyi Wang
Tianyi Xiong
Ruibo Chen
Yihan Wu
Junfeng Guo
Heng-Chiao Huang
CLL
50
8
0
14 Mar 2024
On the Convergence of Locally Adaptive and Scalable Diffusion-Based
  Sampling Methods for Deep Bayesian Neural Network Posteriors
On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors
Tim Rensmeyer
Oliver Niggemann
UQCV
BDL
OOD
MedIm
38
0
0
13 Mar 2024
SoK: Reducing the Vulnerability of Fine-tuned Language Models to
  Membership Inference Attacks
SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference Attacks
Guy Amit
Abigail Goldsteen
Ariel Farkash
AAML
19
6
0
13 Mar 2024
Experimental Comparison of Ensemble Methods and Time-to-Event Analysis
  Models Through Integrated Brier Score and Concordance Index
Experimental Comparison of Ensemble Methods and Time-to-Event Analysis Models Through Integrated Brier Score and Concordance Index
Camila Fernandez
Chung Shue Chen
Pierre Gaillard
Alonso Silva
27
1
0
12 Mar 2024
Towards In-Vehicle Multi-Task Facial Attribute Recognition:
  Investigating Synthetic Data and Vision Foundation Models
Towards In-Vehicle Multi-Task Facial Attribute Recognition: Investigating Synthetic Data and Vision Foundation Models
Esmaeil Seraj
Walter Talamonti
30
0
0
10 Mar 2024
Evidence, Definitions and Algorithms regarding the Existence of
  Cohesive-Convergence Groups in Neural Network Optimization
Evidence, Definitions and Algorithms regarding the Existence of Cohesive-Convergence Groups in Neural Network Optimization
Thien An L. Nguyen
14
0
0
08 Mar 2024
LLM4Decompile: Decompiling Binary Code with Large Language Models
LLM4Decompile: Decompiling Binary Code with Large Language Models
Hanzhuo Tan
Qi Luo
Jing Li
Yuqun Zhang
SyDa
ELM
65
19
0
08 Mar 2024
Privacy in Cloud Computing through Immersion-based Coding
Privacy in Cloud Computing through Immersion-based Coding
H. Hayati
N. van de Wouw
C. Murguia
27
1
0
07 Mar 2024
GRAWA: Gradient-based Weighted Averaging for Distributed Training of
  Deep Learning Models
GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models
Tolga Dimlioglu
A. Choromańska
47
3
0
07 Mar 2024
OCD-FL: A Novel Communication-Efficient Peer Selection-based
  Decentralized Federated Learning
OCD-FL: A Novel Communication-Efficient Peer Selection-based Decentralized Federated Learning
Nizar Masmoudi
Wael Jaafar
26
2
0
06 Mar 2024
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling
Patrick Pynadath
Riddhiman Bhattacharya
Arun Hariharan
Ruqi Zhang
41
4
0
27 Feb 2024
Revisiting Convergence of AdaGrad with Relaxed Assumptions
Revisiting Convergence of AdaGrad with Relaxed Assumptions
Yusu Hong
Junhong Lin
28
12
0
21 Feb 2024
Offline Training of Language Model Agents with Functions as Learnable
  Weights
Offline Training of Language Model Agents with Functions as Learnable Weights
Shaokun Zhang
Jieyu Zhang
Jiale Liu
Linxin Song
Chi Wang
Ranjay Krishna
Qingyun Wu
LLMAG
LM&Ro
AIFin
43
12
0
17 Feb 2024
Fusing Individualized Treatment Rules Using Secondary Outcomes
Fusing Individualized Treatment Rules Using Secondary Outcomes
Daiqi Gao
Yuanjia Wang
Donglin Zeng
27
0
0
13 Feb 2024
Preconditioners for the Stochastic Training of Implicit Neural
  Representations
Preconditioners for the Stochastic Training of Implicit Neural Representations
Shin-Fang Chng
Hemanth Saratchandran
Simon Lucey
26
0
0
13 Feb 2024
Peeking Behind the Curtains of Residual Learning
Peeking Behind the Curtains of Residual Learning
Tunhou Zhang
Feng Yan
Hai Helen Li
Yiran Chen
19
0
0
13 Feb 2024
Proof-of-concept: Using ChatGPT to Translate and Modernize an Earth
  System Model from Fortran to Python/JAX
Proof-of-concept: Using ChatGPT to Translate and Modernize an Earth System Model from Fortran to Python/JAX
Anthony Zhou
Linnia Hawkins
Pierre Gentine
16
1
0
13 Feb 2024
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep
  Approximate Message Passing
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing
Wei Xu
An Liu
Yiting Zhang
Vincent Lau
BDL
25
1
0
12 Feb 2024
Data Distribution-based Curriculum Learning
Data Distribution-based Curriculum Learning
Shonal Chaudhry
Anuraganand Sharma
21
1
0
12 Feb 2024
Non-convergence to global minimizers for Adam and stochastic gradient
  descent optimization and constructions of local minimizers in the training of
  artificial neural networks
Non-convergence to global minimizers for Adam and stochastic gradient descent optimization and constructions of local minimizers in the training of artificial neural networks
Arnulf Jentzen
Adrian Riekert
41
4
0
07 Feb 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational
  Gradient Matching
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching
Tianle Zhang
Yuchen Zhang
Kun Wang
Kai Wang
Beining Yang
Kaipeng Zhang
Wenqi Shao
Ping Liu
Qiufeng Wang
Yang You
DD
73
13
0
07 Feb 2024
Closing the Gap Between SGP4 and High-Precision Propagation via
  Differentiable Programming
Closing the Gap Between SGP4 and High-Precision Propagation via Differentiable Programming
Giacomo Acciarini
Atilim Gunecs Baydin
Dario Izzo
13
4
0
07 Feb 2024
How Realistic Is Your Synthetic Data? Constraining Deep Generative
  Models for Tabular Data
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
Mihaela C. Stoian
Salijona Dyrmishi
Maxime Cordy
Thomas Lukasiewicz
Eleonora Giunchiglia
29
15
0
07 Feb 2024
Densely Multiplied Physics Informed Neural Networks
Densely Multiplied Physics Informed Neural Networks
Feilong Jiang
Xiaonan Hou
Min Xia
PINN
19
2
0
06 Feb 2024
Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype
  Identification Using a Novel AUROC Loss Function for Convolutional Neural
  Networks
Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks
Khashayar Namdar
Matthias W. Wagner
C. Hawkins
U. Tabori
B. Ertl-Wagner
Farzad Khalvati
14
2
0
05 Feb 2024
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation
Shuyao Wang
Yongduo Sui
Jiancan Wu
Zhi Zheng
Hui Xiong
15
16
0
05 Feb 2024
pFedMoE: Data-Level Personalization with Mixture of Experts for
  Model-Heterogeneous Personalized Federated Learning
pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning
Liping Yi
Han Yu
Chao Ren
Heng-Ming Zhang
Gang Wang
Xiaoguang Liu
Xiaoxiao Li
MoE
31
8
0
02 Feb 2024
Comparing Spectral Bias and Robustness For Two-Layer Neural Networks:
  SGD vs Adaptive Random Fourier Features
Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features
Aku Kammonen
Lisi Liang
Anamika Pandey
Raúl Tempone
31
2
0
01 Feb 2024
Effective Multi-Stage Training Model For Edge Computing Devices In
  Intrusion Detection
Effective Multi-Stage Training Model For Edge Computing Devices In Intrusion Detection
Thua Huynh Trong
Thanh Nguyen Hoang
24
3
0
31 Jan 2024
Optimal Potential Shaping on SE(3) via Neural ODEs on Lie Groups
Optimal Potential Shaping on SE(3) via Neural ODEs on Lie Groups
Yannik P. Wotte
Federico Califano
Stefano Stramigioli
AI4CE
29
1
0
25 Jan 2024
Inadequacy of common stochastic neural networks for reliable clinical
  decision support
Inadequacy of common stochastic neural networks for reliable clinical decision support
Adrian Lindenmeyer
Malte Blattmann
S. Franke
Thomas Neumuth
Daniel Schneider
BDL
35
1
0
24 Jan 2024
Dynamic Layer Tying for Parameter-Efficient Transformers
Dynamic Layer Tying for Parameter-Efficient Transformers
Tamir David Hay
Lior Wolf
33
3
0
23 Jan 2024
Improving Local Training in Federated Learning via Temperature Scaling
Improving Local Training in Federated Learning via Temperature Scaling
Kichang Lee
Songkuk Kim
Jeonggil Ko
FedML
35
1
0
18 Jan 2024
GD doesn't make the cut: Three ways that non-differentiability affects
  neural network training
GD doesn't make the cut: Three ways that non-differentiability affects neural network training
Siddharth Krishna Kumar
AAML
26
2
0
16 Jan 2024
Accelerated Sampling of Rare Events using a Neural Network Bias
  Potential
Accelerated Sampling of Rare Events using a Neural Network Bias Potential
Xinru Hua
R. Ahmad
Jose Blanchet
Wei Cai
AI4CE
90
3
0
13 Jan 2024
Contrastive Learning With Audio Discrimination For Customizable Keyword
  Spotting In Continuous Speech
Contrastive Learning With Audio Discrimination For Customizable Keyword Spotting In Continuous Speech
Yu Xi
Baochen Yang
Hao Li
Jiaqi Guo
Kai Yu
39
4
0
12 Jan 2024
Ordering-Flexible Multi-Robot Coordination for MovingTarget Convoying
  Using Long-TermTask Execution
Ordering-Flexible Multi-Robot Coordination for MovingTarget Convoying Using Long-TermTask Execution
Bin-Bin Hu
Yanxin Zhou
Henglai Wei
Yan Wang
Chen Lv
24
5
0
12 Jan 2024
Artificial Intelligence for Operations Research: Revolutionizing the
  Operations Research Process
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process
Zhenan Fan
Bissan Ghaddar
Xinglu Wang
Linzi Xing
Yong Zhang
Zirui Zhou
AI4CE
53
11
0
06 Jan 2024
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