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CAM-GAN: Continual Adaptation Modules for Generative Adversarial
  Networks

CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks

6 March 2021
Sakshi Varshney
Vinay K. Verma
K. SrijithP.
Lawrence Carin
Piyush Rai
    GAN
    CLL
ArXivPDFHTML

Papers citing "CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks"

13 / 13 papers shown
Title
CFTS-GAN: Continual Few-Shot Teacher Student for Generative Adversarial
  Networks
CFTS-GAN: Continual Few-Shot Teacher Student for Generative Adversarial Networks
Munsif Ali
L. Rossi
Massimo Bertozzi
GAN
CLL
23
1
0
17 Oct 2024
Efficient Expansion and Gradient Based Task Inference for Replay Free
  Incremental Learning
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning
Soumya Roy
Vinay K. Verma
Deepak Gupta
CLL
34
2
0
02 Dec 2023
Learning Nonparametric High-Dimensional Generative Models: The
  Empirical-Beta-Copula Autoencoder
Learning Nonparametric High-Dimensional Generative Models: The Empirical-Beta-Copula Autoencoder
Maximilian Coblenz
Oliver Grothe
Fabian Kächele
SyDa
DRL
28
1
0
18 Sep 2023
LFS-GAN: Lifelong Few-Shot Image Generation
LFS-GAN: Lifelong Few-Shot Image Generation
Juwon Seo
Jingwen Kang
Gyeong-Moon Park
CLL
35
11
0
23 Aug 2023
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero
  Shot
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
Milad Abdollahzadeh
Touba Malekzadeh
Christopher T. H. Teo
Keshigeyan Chandrasegaran
Guimeng Liu
Ngai-man Cheung
VLM
MedIm
44
21
0
26 Jul 2023
Mode-Aware Continual Learning for Conditional Generative Adversarial
  Networks
Mode-Aware Continual Learning for Conditional Generative Adversarial Networks
Cat P. Le
Juncheng Dong
Ahmed Aloui
Vahid Tarokh
TTA
GAN
28
1
0
19 May 2023
A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion
  Detection
A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion Detection
Mahdi Soltani
Khashayar Khajavi
M. J. Siavoshani
A. Jahangir
18
7
0
05 Mar 2023
Toward Sustainable Continual Learning: Detection and Knowledge
  Repurposing of Similar Tasks
Toward Sustainable Continual Learning: Detection and Knowledge Repurposing of Similar Tasks
Sijia Wang
Yoojin Choi
Junya Chen
Mostafa El-Khamy
Ricardo Henao
CLL
22
0
0
11 Oct 2022
Beyond Supervised Continual Learning: a Review
Beyond Supervised Continual Learning: a Review
Benedikt Bagus
A. Gepperth
Timothée Lesort
BDL
CLL
30
10
0
30 Aug 2022
Conservative Generator, Progressive Discriminator: Coordination of
  Adversaries in Few-shot Incremental Image Synthesis
Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis
Chaerin Kong
Nojun Kwak
CLL
21
0
0
29 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
32
27
0
15 Jul 2022
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,567
0
17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
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