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Learn to Grow: A Continual Structure Learning Framework for Overcoming
  Catastrophic Forgetting

Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting

31 March 2019
Xilai Li
Yingbo Zhou
Tianfu Wu
R. Socher
Caiming Xiong
    CLL
ArXivPDFHTML

Papers citing "Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting"

19 / 69 papers shown
Title
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
20
1
0
11 Aug 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Polina Kirichenko
Mehrdad Farajtabar
Dushyant Rao
Balaji Lakshminarayanan
Nir Levine
Ang Li
Huiyi Hu
A. Wilson
Razvan Pascanu
VLM
BDL
CLL
21
19
0
24 Jun 2021
Class-Incremental Experience Replay for Continual Learning under Concept
  Drift
Class-Incremental Experience Replay for Continual Learning under Concept Drift
Lukasz Korycki
Bartosz Krawczyk
8
31
0
24 Apr 2021
Lifelong Learning with Sketched Structural Regularization
Lifelong Learning with Sketched Structural Regularization
Haoran Li
A. Krishnan
Jingfeng Wu
Soheil Kolouri
Praveen K. Pilly
Vladimir Braverman
CLL
22
17
0
17 Apr 2021
DER: Dynamically Expandable Representation for Class Incremental
  Learning
DER: Dynamically Expandable Representation for Class Incremental Learning
Shipeng Yan
Jiangwei Xie
Xuming He
CLL
18
434
0
31 Mar 2021
Gradient Projection Memory for Continual Learning
Gradient Projection Memory for Continual Learning
Gobinda Saha
Isha Garg
Kaushik Roy
VLM
CLL
39
266
0
17 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
129
0
12 Mar 2021
Understanding Catastrophic Forgetting and Remembering in Continual
  Learning with Optimal Relevance Mapping
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
Prakhar Kaushik
Alex Gain
Adam Kortylewski
Alan Yuille
CLL
11
68
0
22 Feb 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
22
97
0
23 Dec 2020
Learn to Bind and Grow Neural Structures
Learn to Bind and Grow Neural Structures
Azhar Shaikh
Nishant Sinha
CLL
16
0
0
21 Nov 2020
Online Structured Meta-learning
Online Structured Meta-learning
Huaxiu Yao
Yingbo Zhou
M. Mahdavi
Z. Li
R. Socher
Caiming Xiong
41
28
0
22 Oct 2020
Linear Mode Connectivity in Multitask and Continual Learning
Linear Mode Connectivity in Multitask and Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Dilan Görür
Razvan Pascanu
H. Ghasemzadeh
CLL
29
138
0
09 Oct 2020
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
27
146
0
03 Sep 2020
Anatomy of Catastrophic Forgetting: Hidden Representations and Task
  Semantics
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
V. Ramasesh
Ethan Dyer
M. Raghu
CLL
24
173
0
14 Jul 2020
Gradient-based Editing of Memory Examples for Online Task-free Continual
  Learning
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning
Xisen Jin
Arka Sadhu
Junyi Du
Xiang Ren
CLL
KELM
BDL
15
95
0
27 Jun 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
19
102
0
12 Jun 2020
Lifelong Learning with Searchable Extension Units
Lifelong Learning with Searchable Extension Units
Wenjin Wang
Yunqing Hu
Yin Zhang
KELM
CLL
11
3
0
19 Mar 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual
  Learning
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning
Soochan Lee
Junsoo Ha
Dongsu Zhang
Gunhee Kim
BDL
CLL
11
208
0
03 Jan 2020
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
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