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Compacting, Picking and Growing for Unforgetting Continual Learning

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
ArXivPDFHTML

Papers citing "Compacting, Picking and Growing for Unforgetting Continual Learning"

16 / 66 papers shown
Title
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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