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Continual Learning with Gated Incremental Memories for sequential data
  processing

Continual Learning with Gated Incremental Memories for sequential data processing

8 April 2020
Andrea Cossu
Antonio Carta
D. Bacciu
    BDLCLL
ArXiv (abs)PDFHTML

Papers citing "Continual Learning with Gated Incremental Memories for sequential data processing"

17 / 17 papers shown
Title
Learning under Concept Drift: A Review
Learning under Concept Drift: A Review
Jie Lu
Anjin Liu
Fan Dong
Feng Gu
João Gama
Guangquan Zhang
AI4TS
67
1,290
0
13 Apr 2020
Towards Training Recurrent Neural Networks for Lifelong Learning
Towards Training Recurrent Neural Networks for Lifelong Learning
Shagun Sodhani
A. Chandar
Yoshua Bengio
CLL
53
19
0
16 Nov 2018
Linear Memory Networks
Linear Memory Networks
Xi Chen
Ali Ghadirzadeh
Mårten Björkman
KELM
45
9
0
08 Nov 2018
Progressive Memory Banks for Incremental Domain Adaptation
Progressive Memory Banks for Incremental Domain Adaptation
Nabiha Asghar
Lili Mou
Kira A. Selby
Kevin D. Pantasdo
Pascal Poupart
Xin Jiang
CLL
41
25
0
01 Nov 2018
Continual Learning of Recurrent Neural Networks by Locally Aligning
  Distributed Representations
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations
Alexander Ororbia
A. Mali
C. Lee Giles
Daniel Kifer
79
64
0
17 Oct 2018
Continual Lifelong Learning with Neural Networks: A Review
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELMCLL
203
2,896
0
21 Feb 2018
Measuring Catastrophic Forgetting in Neural Networks
Measuring Catastrophic Forgetting in Neural Networks
Ronald Kemker
Marc McClure
Angelina Abitino
Tyler L. Hayes
Christopher Kanan
CLL
118
721
0
07 Aug 2017
Lifelong Learning with Dynamically Expandable Networks
Lifelong Learning with Dynamically Expandable Networks
Jaehong Yoon
Eunho Yang
Jeongtae Lee
Sung Ju Hwang
CLL
125
1,229
0
04 Aug 2017
On orthogonality and learning recurrent networks with long term
  dependencies
On orthogonality and learning recurrent networks with long term dependencies
Eugene Vorontsov
C. Trabelsi
Samuel Kadoury
C. Pal
ODL
91
242
0
31 Jan 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
374
7,561
0
02 Dec 2016
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using
  Householder Reflections
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
Zakaria Mhammedi
Andrew D. Hellicar
Ashfaqur Rahman
James Bailey
97
129
0
01 Dec 2016
Expert Gate: Lifelong Learning with a Network of Experts
Expert Gate: Lifelong Learning with a Network of Experts
Rahaf Aljundi
Punarjay Chakravarty
Tinne Tuytelaars
CLL
93
662
0
18 Nov 2016
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLLAI4CE
81
2,464
0
15 Jun 2016
Recurrent Orthogonal Networks and Long-Memory Tasks
Recurrent Orthogonal Networks and Long-Memory Tasks
Mikael Henaff
Arthur Szlam
Yann LeCun
79
133
0
22 Feb 2016
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
148
2,593
0
16 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,312
0
22 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CEAIMat
259
6,786
0
03 Sep 2014
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