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A Comprehensive Survey of Continual Learning: Theory, Method and
  Application

A Comprehensive Survey of Continual Learning: Theory, Method and Application

31 January 2023
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
    KELM
    CLL
ArXivPDFHTML

Papers citing "A Comprehensive Survey of Continual Learning: Theory, Method and Application"

19 / 169 papers shown
Title
RECALL: Replay-based Continual Learning in Semantic Segmentation
RECALL: Replay-based Continual Learning in Semantic Segmentation
Andrea Maracani
Umberto Michieli
Marco Toldo
Pietro Zanuttigh
VLM
CLL
53
114
0
08 Aug 2021
AlterSGD: Finding Flat Minima for Continual Learning by Alternative
  Training
AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training
Zhongzhan Huang
Ming Liang
Senwei Liang
Wei He
CLL
ODL
42
6
0
13 Jul 2021
Kernel Continual Learning
Kernel Continual Learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
CLL
BDL
VLM
75
38
0
12 Jul 2021
Dynamic VAEs with Generative Replay for Continual Zero-shot Learning
Dynamic VAEs with Generative Replay for Continual Zero-shot Learning
Subhankar Ghosh
BDL
CLL
VLM
28
7
0
26 Apr 2021
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
Dapeng Hu
Shipeng Yan
Qizhengqiu Lu
Lanqing Hong
Hailin Hu
Yifan Zhang
Zhenguo Li
Xinchao Wang
Jiashi Feng
53
28
0
25 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,872
0
18 Apr 2021
Distilling Causal Effect of Data in Class-Incremental Learning
Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu
Kaihua Tang
Chunyan Miao
Xiansheng Hua
Hanwang Zhang
CML
176
175
0
02 Mar 2021
Posterior Meta-Replay for Continual Learning
Posterior Meta-Replay for Continual Learning
Christian Henning
Maria R. Cervera
Francesco DÁngelo
J. Oswald
Regina Traber
Benjamin Ehret
Seijin Kobayashi
Benjamin Grewe
João Sacramento
CLL
BDL
51
55
0
01 Mar 2021
SWAD: Domain Generalization by Seeking Flat Minima
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
216
424
0
17 Feb 2021
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic
  Forgetting
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting
V. Kurmi
Badri N. Patro
Venkatesh Subramanian
Vinay P. Namboodiri
49
22
0
03 Feb 2021
EEC: Learning to Encode and Regenerate Images for Continual Learning
EEC: Learning to Encode and Regenerate Images for Continual Learning
Ali Ayub
Alan R. Wagner
CLL
48
59
0
13 Jan 2021
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Tongtong Wu
Xuekai Li
Yuan-Fang Li
Reza Haffari
Guilin Qi
Yujin Zhu
Guoqiang Xu
CLL
38
67
0
06 Jan 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
Fahad Shahbaz Khan
M. Shah
ViT
227
2,434
0
04 Jan 2021
Mixed-Privacy Forgetting in Deep Networks
Mixed-Privacy Forgetting in Deep Networks
Aditya Golatkar
Alessandro Achille
Avinash Ravichandran
M. Polito
Stefano Soatto
CLL
MU
130
160
0
24 Dec 2020
Adversarial Continual Learning
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLL
VLM
154
199
0
21 Mar 2020
Incremental Object Detection via Meta-Learning
Incremental Object Detection via Meta-Learning
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjD
CLL
VLM
177
98
0
17 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
457
11,715
0
09 Mar 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
310
2,892
0
15 Sep 2016
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
176
1,124
0
25 Jul 2012
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