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. 2302.00487
  4. Cited By
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"

38 / 138 papers shown
Title
Few-Shot Continual Active Learning by a Robot
Few-Shot Continual Active Learning by a Robot
Ali Ayub
C. Fendley
CLL
32
29
0
09 Oct 2022
Long-Tailed Class Incremental Learning
Long-Tailed Class Incremental Learning
Xialei Liu
Yu-Song Hu
Xuezhi Cao
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
63
35
0
01 Oct 2022
A simple but strong baseline for online continual learning: Repeated
  Augmented Rehearsal
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal
Yaqian Zhang
Bernhard Pfahringer
E. Frank
Albert Bifet
N. Lim
Yunzhe Jia
CLL
104
40
0
28 Sep 2022
Disentangling Transfer in Continual Reinforcement Learning
Disentangling Transfer in Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
60
27
0
28 Sep 2022
Exploring Example Influence in Continual Learning
Exploring Example Influence in Continual Learning
Q. Sun
Fan Lyu
Fanhua Shang
Wei Feng
Liang Wan
CLL
58
45
0
25 Sep 2022
Task-Agnostic Learning to Accomplish New Tasks
Task-Agnostic Learning to Accomplish New Tasks
Xianqi Zhang
Xingtao Wang
Xu Liu
Wenrui Wang
Xiaopeng Fan
Debin Zhao
OffRL
80
0
0
09 Sep 2022
Continual Barlow Twins: continual self-supervised learning for remote
  sensing semantic segmentation
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation
V. Marsocci
Simone Scardapane
CLL
24
25
0
23 May 2022
TRGP: Trust Region Gradient Projection for Continual Learning
TRGP: Trust Region Gradient Projection for Continual Learning
Sen Lin
Li Yang
Deliang Fan
Junshan Zhang
CLL
78
73
0
07 Feb 2022
Architecture Matters in Continual Learning
Architecture Matters in Continual Learning
Seyed Iman Mirzadeh
Arslan Chaudhry
Dong Yin
Timothy Nguyen
Razvan Pascanu
Dilan Görür
Mehrdad Farajtabar
OOD
KELM
111
58
0
01 Feb 2022
Learning Fast, Learning Slow: A General Continual Learning Method based
  on Complementary Learning System
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System
Elahe Arani
F. Sarfraz
Bahram Zonooz
CLL
81
121
0
29 Jan 2022
Continual Learning with Recursive Gradient Optimization
Continual Learning with Recursive Gradient Optimization
Hao Liu
Huaping Liu
VLM
CLL
83
36
0
29 Jan 2022
vCLIMB: A Novel Video Class Incremental Learning Benchmark
vCLIMB: A Novel Video Class Incremental Learning Benchmark
Andrés Villa
Kumail Alhamoud
Juan Carlos León Alcázar
Fabian Caba Heilbron
Victor Escorcia
Bernard Ghanem
CLL
56
32
0
23 Jan 2022
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment
  Classification Tasks
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
Zixuan Ke
Hu Xu
Bing-Quan Liu
CLL
232
84
0
06 Dec 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual
  Learning
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke
Bing-Quan Liu
Nianzu Ma
Hu Xu
Lei Shu
CLL
181
122
0
05 Dec 2021
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A
  Simple Linear Connector
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear Connector
Guoliang Lin
Hanlu Chu
Hanjiang Lai
MoMe
CLL
29
43
0
15 Oct 2021
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based
  on Prompt Tuning of T5
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Chengwei Qin
Shafiq R. Joty
CLL
170
98
0
14 Oct 2021
FedSpeech: Federated Text-to-Speech with Continual Learning
FedSpeech: Federated Text-to-Speech with Continual Learning
Ziyue Jiang
Yi Ren
Ming Lei
Zhou Zhao
FedML
93
24
0
14 Oct 2021
Representational Continuity for Unsupervised Continual Learning
Representational Continuity for Unsupervised Continual Learning
Divyam Madaan
Jaehong Yoon
Yuanchun Li
Yunxin Liu
Sung Ju Hwang
CLL
SSL
62
111
0
13 Oct 2021
Towards Continual Knowledge Learning of Language Models
Towards Continual Knowledge Learning of Language Models
Joel Jang
Seonghyeon Ye
Sohee Yang
Joongbo Shin
Janghoon Han
Gyeonghun Kim
Stanley Jungkyu Choi
Minjoon Seo
CLL
KELM
222
150
0
07 Oct 2021
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
45
113
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
34
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
70
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
24
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
45
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
3,843
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
C. Miao
Xiansheng Hua
Hanwang Zhang
CML
174
174
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
54
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
423
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
34
21
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
35
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
27
67
0
06 Jan 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
F. Khan
M. Shah
ViT
225
2,428
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
125
159
0
24 Dec 2020
Adversarial Continual Learning
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLL
VLM
152
197
0
21 Mar 2020
Incremental Object Detection via Meta-Learning
Incremental Object Detection via Meta-Learning
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
F. Khan
V. Balasubramanian
ObjD
CLL
VLM
172
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
243
11,677
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
273
2,886
0
15 Sep 2016
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
160
1,122
0
25 Jul 2012
Previous
123