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1910.06562
Cited By
Compacting, Picking and Growing for Unforgetting Continual Learning
15 October 2019
Steven C. Y. Hung
Cheng-Hao Tu
Cheng-En Wu
Chien-Hung Chen
Yi-Ming Chan
Chu-Song Chen
CLL
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Papers citing
"Compacting, Picking and Growing for Unforgetting Continual Learning"
16 / 66 papers shown
Title
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Arthur Douillard
Alexandre Ramé
Guillaume Couairon
Matthieu Cord
CLL
30
298
0
22 Nov 2021
GROWN: GRow Only When Necessary for Continual Learning
Li Yang
Sen Lin
Junshan Zhang
Deliang Fan
CLL
36
11
0
03 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
30
73
0
23 Sep 2021
Discriminative Distillation to Reduce Class Confusion in Continual Learning
Changhong Zhong
Z. Cui
Ruixuan Wang
Weishi Zheng
23
1
0
11 Aug 2021
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking
Binzong Geng
Fajie Yuan
Qiancheng Xu
Ying Shen
Ruifeng Xu
Min Yang
CLL
22
31
0
17 Jul 2021
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis
Saurav Jha
Martin Schiemer
F. Zambonelli
Juan Ye
23
48
0
19 Apr 2021
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks
Andrey V. Savchenko
CVBM
3DH
32
128
0
31 Mar 2021
DER: Dynamically Expandable Representation for Class Incremental Learning
Shipeng Yan
Jiangwei Xie
Xuming He
CLL
29
435
0
31 Mar 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning
Vinay Kumar Verma
Kevin J Liang
Nikhil Mehta
Piyush Rai
Lawrence Carin
CLL
43
76
0
25 Mar 2021
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation
Andrea Cossu
Antonio Carta
Vincenzo Lomonaco
D. Bacciu
CLL
38
107
0
12 Mar 2021
Training Networks in Null Space of Feature Covariance for Continual Learning
Shipeng Wang
Xiaorong Li
Jian Sun
Zongben Xu
CLL
31
132
0
12 Mar 2021
Efficient Continual Learning with Modular Networks and Task-Driven Priors
Tom Véniat
Ludovic Denoyer
MarcÁurelio Ranzato
CLL
30
97
0
23 Dec 2020
A Study on Efficiency in Continual Learning Inspired by Human Learning
Philip J. Ball
Yingzhen Li
A. Lamb
Cheng Zhang
CLL
20
2
0
28 Oct 2020
Learning Disentangled Expression Representations from Facial Images
Marah Halawa
Manuel Wöllhaf
Eduardo Vellasques
Urko Sánchez Sanz
Olaf Hellwich
CoGe
CVBM
DRL
18
8
0
16 Aug 2020
SS-IL: Separated Softmax for Incremental Learning
Hongjoon Ahn
Jihwan Kwak
S. Lim
Hyeonsu Bang
Hyojun Kim
Taesup Moon
CLL
22
176
0
31 Mar 2020
Federated Continual Learning with Weighted Inter-client Transfer
Jaehong Yoon
Wonyoung Jeong
Giwoong Lee
Eunho Yang
Sung Ju Hwang
FedML
40
199
0
06 Mar 2020
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