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diffGrad: An Optimization Method for Convolutional Neural Networks

diffGrad: An Optimization Method for Convolutional Neural Networks

12 September 2019
S. Dubey
Soumendu Chakraborty
S. K. Roy
Snehasis Mukherjee
S. Singh
B. B. Chaudhuri
    ODL
ArXivPDFHTML

Papers citing "diffGrad: An Optimization Method for Convolutional Neural Networks"

31 / 31 papers shown
Title
A Comprehensive Survey for Hyperspectral Image Classification: The
  Evolution from Conventional to Transformers
A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers
Muhammad Ahmad
Salvatore Distifano
Adil Mehmood Khan
Manuel Mazzara
Chenyu Li
Jing Yao
Hao Li
Jagannath Aryal
G. Vivone
Danfeng Hong
58
3
0
23 Apr 2024
Angle based dynamic learning rate for gradient descent
Angle based dynamic learning rate for gradient descent
Neel Mishra
Kiran Ravish
ODL
28
1
0
20 Apr 2023
Judging Adam: Studying the Performance of Optimization Methods on ML4SE
  Tasks
Judging Adam: Studying the Performance of Optimization Methods on ML4SE Tasks
D. Pasechnyuk
Anton Prazdnichnykh
Mikhail Evtikhiev
T. Bryksin
26
1
0
06 Mar 2023
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
16
8
0
12 Oct 2022
Moment Centralization based Gradient Descent Optimizers for
  Convolutional Neural Networks
Moment Centralization based Gradient Descent Optimizers for Convolutional Neural Networks
Sumanth Sadu
S. Dubey
S. Sreeja
ODL
21
1
0
19 Jul 2022
On the Power-Law Hessian Spectrums in Deep Learning
On the Power-Law Hessian Spectrums in Deep Learning
Zeke Xie
Qian-Yuan Tang
Yunfeng Cai
Mingming Sun
P. Li
ODL
42
9
0
31 Jan 2022
GeoFill: Reference-Based Image Inpainting with Better Geometric
  Understanding
GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding
Yunhan Zhao
Connelly Barnes
Yuqian Zhou
Eli Shechtman
Sohrab Amirghodsi
Charless C. Fowlkes
27
8
0
20 Jan 2022
Training Recurrent Neural Networks by Sequential Least Squares and the
  Alternating Direction Method of Multipliers
Training Recurrent Neural Networks by Sequential Least Squares and the Alternating Direction Method of Multipliers
Alberto Bemporad
21
11
0
31 Dec 2021
Learning Speaker Representation with Semi-supervised Learning approach
  for Speaker Profiling
Learning Speaker Representation with Semi-supervised Learning approach for Speaker Profiling
Shangeth Rajaa
Pham Van Tung
Chng Eng Siong
30
5
0
24 Oct 2021
Gated recurrent units and temporal convolutional network for multilabel
  classification
Gated recurrent units and temporal convolutional network for multilabel classification
L. Nanni
A. Lumini
Alessandro Manfe
Riccardo Rampon
S. Brahnam
Giorgio Venturin
18
2
0
09 Oct 2021
Activation Functions in Deep Learning: A Comprehensive Survey and
  Benchmark
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark
S. Dubey
S. Singh
B. B. Chaudhuri
41
641
0
29 Sep 2021
Frequency Disentangled Residual Network
Frequency Disentangled Residual Network
S. Singh
Roshan Reddy Yedla
S. Dubey
R. Sanodiya
Wei Chu
19
4
0
26 Sep 2021
AdaInject: Injection Based Adaptive Gradient Descent Optimizers for
  Convolutional Neural Networks
AdaInject: Injection Based Adaptive Gradient Descent Optimizers for Convolutional Neural Networks
S. Dubey
S. H. Shabbeer Basha
S. Singh
B. B. Chaudhuri
ODL
42
9
0
26 Sep 2021
High performing ensemble of convolutional neural networks for insect
  pest image detection
High performing ensemble of convolutional neural networks for insect pest image detection
L. Nanni
Alessandro Manfe
Gianluca Maguolo
A. Lumini
S. Brahnam
15
77
0
28 Aug 2021
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
A. Davtyan
Sepehr Sameni
L. Cerkezi
Givi Meishvili
Adam Bielski
Paolo Favaro
ODL
53
2
0
07 Jul 2021
Joint Triplet Autoencoder for Histopathological Colon Cancer Nuclei
  Retrieval
Joint Triplet Autoencoder for Histopathological Colon Cancer Nuclei Retrieval
S. Singh
S. Dubey
M. Shruthi
Sairathan Ventrapragada
Saivamshi Salla Dasharatha
MedIm
29
6
0
21 May 2021
AC-CovidNet: Attention Guided Contrastive CNN for Recognition of
  Covid-19 in Chest X-Ray Images
AC-CovidNet: Attention Guided Contrastive CNN for Recognition of Covid-19 in Chest X-Ray Images
Anirudh Ambati
S. Dubey
OOD
21
6
0
21 May 2021
AngularGrad: A New Optimization Technique for Angular Convergence of
  Convolutional Neural Networks
AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks
S. K. Roy
Mercedes Eugenia Paoletti
J. Haut
S. Dubey
Purushottam Kar
A. Plaza
B. B. Chaudhuri
ODL
19
18
0
21 May 2021
Exploiting Adam-like Optimization Algorithms to Improve the Performance
  of Convolutional Neural Networks
Exploiting Adam-like Optimization Algorithms to Improve the Performance of Convolutional Neural Networks
L. Nanni
Gianluca Maguolo
A. Lumini
ODL
MedIm
41
10
0
26 Mar 2021
Towards Memristive Deep Learning Systems for Real-time Mobile Epileptic
  Seizure Prediction
Towards Memristive Deep Learning Systems for Real-time Mobile Epileptic Seizure Prediction
Corey Lammie
Wei Xiang
M. R. Azghadi
27
15
0
17 Feb 2021
Painless step size adaptation for SGD
Painless step size adaptation for SGD
I. Kulikovskikh
Tarzan Legović
22
0
0
01 Feb 2021
Hyperspectral Image Classification-Traditional to Deep Models: A Survey
  for Future Prospects
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects
Muhammad Ahmad
Sidrah Shabbir
S. K. Roy
Danfeng Hong
Xin Wu
Jing Yao
A. Khan
Manuel Mazzara
Salvatore Distefano
Jocelyn Chanussot
60
247
0
15 Jan 2021
Semantic Video Segmentation for Intracytoplasmic Sperm Injection
  Procedures
Semantic Video Segmentation for Intracytoplasmic Sperm Injection Procedures
Chloe He
R. Jain
J. Chambost
C. Jacques
C. Hickman
VLM
21
0
0
04 Jan 2021
Color Channel Perturbation Attacks for Fooling Convolutional Neural
  Networks and A Defense Against Such Attacks
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks
Jayendra Kantipudi
S. Dubey
Soumendu Chakraborty
AAML
34
19
0
20 Dec 2020
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color
  Histograms
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms
Mahmoud Afifi
Marcus A. Brubaker
M. S. Brown
GAN
35
105
0
23 Nov 2020
On the Performance of Convolutional Neural Networks under High and Low
  Frequency Information
On the Performance of Convolutional Neural Networks under High and Low Frequency Information
Roshan Reddy Yedla
S. Dubey
OOD
25
4
0
30 Oct 2020
Artificial Intelligence: Research Impact on Key Industries; the
  Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020)
Artificial Intelligence: Research Impact on Key Industries; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020)
Andreas H. Christ
Franz Quint
AI4CE
27
0
0
05 Oct 2020
Descending through a Crowded Valley - Benchmarking Deep Learning
  Optimizers
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers
Robin M. Schmidt
Frank Schneider
Philipp Hennig
ODL
34
162
0
03 Jul 2020
Deep Residual 3D U-Net for Joint Segmentation and Texture Classification
  of Nodules in Lung
Deep Residual 3D U-Net for Joint Segmentation and Texture Classification of Nodules in Lung
Alexandr G. Rassadin
MedIm
29
8
0
25 Jun 2020
AdaSwarm: Augmenting Gradient-Based optimizers in Deep Learning with
  Swarm Intelligence
AdaSwarm: Augmenting Gradient-Based optimizers in Deep Learning with Swarm Intelligence
Rohan Mohapatra
Snehanshu Saha
C. Coello
Anwesh Bhattacharya
S. Dhavala
S. Saha
ODL
18
21
0
19 May 2020
LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation
  Function for Neural Networks
LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks
S. K. Roy
Suvojit Manna
S. Dubey
B. B. Chaudhuri
11
49
0
01 Jan 2019
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