ResearchTrend.AI
  • Papers
  • Communities
  • Organizations
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1811.11083
  4. Cited By
Generative Adversarial Network Training is a Continual Learning Problem

Generative Adversarial Network Training is a Continual Learning Problem

27 November 2018
Kevin J. Liang
Chunyuan Li
Guoyin Wang
Lawrence Carin
    GAN
ArXiv (abs)PDFHTML

Papers citing "Generative Adversarial Network Training is a Continual Learning Problem"

28 / 28 papers shown
Title
Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to
  Probe the Boundaries of Stable Diffusion Generated Data
Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to Probe the Boundaries of Stable Diffusion Generated Data
Leonhard Hennicke
C. Adriano
Holger Giese
Jan Mathias Koehler
Lukas Schott
DiffM
112
2
0
06 May 2024
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELMMU
102
53
0
16 Jul 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
72
9
0
05 Mar 2023
Domain Adaptation via Rebalanced Sub-domain Alignment
Domain Adaptation via Rebalanced Sub-domain Alignment
Yi-Ling Liu
Juncheng Dong
Ziyang Jiang
Ahmed Aloui
Keyu Li
Hunter Klein
Vahid Tarokh
David Carlson
81
2
0
03 Feb 2023
Momentum Adversarial Distillation: Handling Large Distribution Shifts in
  Data-Free Knowledge Distillation
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation
Kien Do
Hung Le
D. Nguyen
Dang Nguyen
Haripriya Harikumar
T. Tran
Santu Rana
Svetha Venkatesh
68
33
0
21 Sep 2022
Overcoming Mode Collapse with Adaptive Multi Adversarial Training
Overcoming Mode Collapse with Adaptive Multi Adversarial Training
K. Mangalam
Rohin Garg
GAN
67
13
0
29 Dec 2021
A Survey on Adversarial Attacks for Malware Analysis
A Survey on Adversarial Attacks for Malware Analysis
Kshitiz Aryal
Maanak Gupta
Mahmoud Abdelsalam
AAML
114
53
0
16 Nov 2021
Employing chunk size adaptation to overcome concept drift
Employing chunk size adaptation to overcome concept drift
Jkedrzej Kozal
Filip Guzy
Michal Wo'zniak
AI4TS
36
4
0
25 Oct 2021
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
Zongze Wu
Yotam Nitzan
Eli Shechtman
Dani Lischinski
129
58
0
21 Oct 2021
IB-DRR: Incremental Learning with Information-Back Discrete
  Representation Replay
IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay
Jian Jiang
Edoardo Cetin
Oya Celiktutan
61
9
0
21 Apr 2021
Efficient Feature Transformations for Discriminative and Generative
  Continual Learning
Efficient Feature Transformations for Discriminative and Generative Continual Learning
Vinay Kumar Verma
Kevin J. Liang
Nikhil Mehta
Piyush Rai
Lawrence Carin
CLL
115
78
0
25 Mar 2021
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot
  Learning
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning
Vinay Kumar Verma
Kevin J. Liang
Nikhil Mehta
Lawrence Carin
CLLVLM
95
5
0
23 Feb 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
117
3
0
04 Jan 2021
Improving Text Generation with Student-Forcing Optimal Transport
Improving Text Generation with Student-Forcing Optimal Transport
Guoyin Wang
Chunyuan Li
Jianqiao Li
Hao Fu
Yuh-Chen Lin
...
Ruiyi Zhang
Wenlin Wang
Dinghan Shen
Qian Yang
Lawrence Carin
OT
84
18
0
12 Oct 2020
FastVC: Fast Voice Conversion with non-parallel data
FastVC: Fast Voice Conversion with non-parallel data
Oriol Barbany
Milos Cernak
51
7
0
08 Oct 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
209
80
0
17 Sep 2020
Bridging Maximum Likelihood and Adversarial Learning via
  $α$-Divergence
Bridging Maximum Likelihood and Adversarial Learning via ααα-Divergence
Miaoyun Zhao
Yulai Cong
Shuyang Dai
Lawrence Carin
GAN
60
10
0
13 Jul 2020
Continual Learning using a Bayesian Nonparametric Dictionary of Weight
  Factors
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors
Nikhil Mehta
Kevin J. Liang
Vinay K Verma
Lawrence Carin
CLL
110
5
0
21 Apr 2020
Feature Quantization Improves GAN Training
Feature Quantization Improves GAN Training
Yang Zhao
Chunyuan Li
Ping Yu
Jianfeng Gao
Changyou Chen
MQ
87
47
0
05 Apr 2020
Audio inpainting with generative adversarial network
Audio inpainting with generative adversarial network
P. Ebner
Amr Eltelt
GAN
70
24
0
13 Mar 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
114
847
0
20 Jan 2020
Frosting Weights for Better Continual Training
Frosting Weights for Better Continual Training
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedMLAI4CECLL
55
5
0
07 Jan 2020
Understanding and Stabilizing GANs' Training Dynamics with Control
  Theory
Understanding and Stabilizing GANs' Training Dynamics with Control Theory
Kun Xu
Chongxuan Li
Jun Zhu
Bo Zhang
GAN
75
10
0
29 Sep 2019
Task Agnostic Continual Learning via Meta Learning
Task Agnostic Continual Learning via Meta Learning
Xu He
Jakub Sygnowski
Alexandre Galashov
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
OODCLLFedML
76
94
0
12 Jun 2019
Partial Scanning Transmission Electron Microscopy with Deep Learning
Partial Scanning Transmission Electron Microscopy with Deep Learning
Jeffrey M. Ede
R. Beanland
MedIm
137
22
0
31 May 2019
Self-Supervised GANs via Auxiliary Rotation Loss
Self-Supervised GANs via Auxiliary Rotation Loss
Ting Chen
Xiaohua Zhai
Marvin Ritter
Mario Lucic
N. Houlsby
SSLGAN
102
302
0
27 Nov 2018
Self-Supervised GAN to Counter Forgetting
Self-Supervised GAN to Counter Forgetting
Ting Chen
Xiaohua Zhai
N. Houlsby
CLLGANSSL
91
8
0
27 Oct 2018
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial
  Networks
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial Networks
Hoang Thanh-Tung
T. Tran
GAN
148
59
0
11 Jul 2018
1