ResearchTrend.AI
  • Papers
  • Communities
  • 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. 2104.11939
  4. Cited By
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned
  Generation

Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation

24 April 2021
Mengyao Zhai
Lei Chen
Jiawei He
Megha Nawhal
Frederick Tung
Greg Mori
    CLL
ArXivPDFHTML

Papers citing "Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation"

15 / 15 papers shown
Title
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
Qirui Wu
Shizhou Zhang
De-Chun Cheng
Yinghui Xing
Di Xu
Peng Wang
Yanning Zhang
ObjD
61
0
0
08 Feb 2025
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental
  Deep Neural Networks
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
Ashutosh Kumar
Sonali Agarwal
D. J. Hemanth
29
0
0
11 May 2024
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
50
21
0
16 Dec 2023
Continual Learning with Dirichlet Generative-based Rehearsal
Continual Learning with Dirichlet Generative-based Rehearsal
Min Zeng
Wei Xue
Qi-fei Liu
Yi-Ting Guo
CLL
BDL
24
5
0
13 Sep 2023
Model Inversion Attack via Dynamic Memory Learning
Model Inversion Attack via Dynamic Memory Learning
Gege Qi
YueFeng Chen
Xiaofeng Mao
Binyuan Hui
Xiaodan Li
Rong Zhang
Hui Xue
17
6
0
24 Aug 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
22
1
0
19 May 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
33
596
0
31 Jan 2023
I See-Through You: A Framework for Removing Foreground Occlusion in Both
  Sparse and Dense Light Field Images
I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images
Jiwan Hur
Jae Young Lee
Jaehyun Choi
Junmo Kim
19
8
0
16 Jan 2023
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong
  Learning in Task-Oriented Dialogue
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
Ying Zhao
Yinhe Zheng
Zhiliang Tian
Chang Gao
Yu Bowen
Haiyang Yu
Yongbin Li
Jianguo Sun
N. Zhang
CLL
OffRL
24
12
0
14 Oct 2022
CSG0: Continual Urban Scene Generation with Zero Forgetting
CSG0: Continual Urban Scene Generation with Zero Forgetting
Himalaya Jain
Tuan-Hung Vu
Patrick Pérez
Matthieu Cord
GAN
3DV
CLL
14
0
0
06 Dec 2021
Reviewing continual learning from the perspective of human-level
  intelligence
Reviewing continual learning from the perspective of human-level intelligence
Yifan Chang
Wenbo Li
Jian Peng
Bo Tang
Yuzhi Kang
Yinjie Lei
Yuanmiao Gui
Qing Zhu
Yu Liu
Haifeng Li
26
4
0
23 Nov 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
23
73
0
23 Sep 2021
Heterogeneous Multi-task Learning with Expert Diversity
Heterogeneous Multi-task Learning with Expert Diversity
Raquel Y. S. Aoki
Frederick Tung
Gabriel L. Oliveira
MoE
31
22
0
20 Jun 2021
CAM-GAN: Continual Adaptation Modules for Generative Adversarial
  Networks
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
Sakshi Varshney
Vinay K. Verma
K. SrijithP.
Lawrence Carin
Piyush Rai
GAN
CLL
20
19
0
06 Mar 2021
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
88
515
0
09 Apr 2018
1