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Variational Continual Learning

Variational Continual Learning

29 October 2017
Cuong V Nguyen
Yingzhen Li
T. Bui
Richard E. Turner
    CLL
    VLM
    BDL
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Papers citing "Variational Continual Learning"

15 / 115 papers shown
Title
Practical Deep Learning with Bayesian Principles
Practical Deep Learning with Bayesian Principles
Kazuki Osawa
S. Swaroop
Anirudh Jain
Runa Eschenhagen
Richard E. Turner
Rio Yokota
Mohammad Emtiyaz Khan
BDL
UQCV
31
240
0
06 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Sayna Ebrahimi
Mohamed Elhoseiny
Trevor Darrell
Marcus Rohrbach
CLL
BDL
6
195
0
06 Jun 2019
Decentralized Bayesian Learning over Graphs
Decentralized Bayesian Learning over Graphs
Anusha Lalitha
Xinghan Wang
O. Kilinc
Y. Lu
T. Javidi
F. Koushanfar
FedML
15
25
0
24 May 2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and
  Periodic Functions
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions
Tim Pearce
Russell Tsuchida
Mohamed H. Zaki
Alexandra Brintrup
A. Neely
BDL
14
48
0
15 May 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for
  Continual Learning
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
O. Ostapenko
M. Puscas
T. Klein
P. Jähnichen
Moin Nabi
CLL
58
297
0
05 Apr 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee
Kimin Lee
Jinwoo Shin
Honglak Lee
CLL
15
201
0
29 Mar 2019
Knowing what you know in brain segmentation using Bayesian deep neural
  networks
Knowing what you know in brain segmentation using Bayesian deep neural networks
Patrick McClure
Nao Rho
J. Lee
Jakub R. Kaczmarzyk
C. Zheng
Satrajit S. Ghosh
D. Nielson
Adam G. Thomas
P. Bandettini
Francisco Pereira
UQCV
3DV
BDL
6
52
0
03 Dec 2018
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
13
1,419
0
02 Dec 2018
Incremental Few-Shot Learning with Attention Attractor Networks
Incremental Few-Shot Learning with Attention Attractor Networks
Mengye Ren
Renjie Liao
Ethan Fetaya
R. Zemel
CLL
11
181
0
16 Oct 2018
Meta-Learning for Stochastic Gradient MCMC
Meta-Learning for Stochastic Gradient MCMC
Wenbo Gong
Yingzhen Li
José Miguel Hernández-Lobato
BDL
14
44
0
12 Jun 2018
Self-Net: Lifelong Learning via Continual Self-Modeling
Self-Net: Lifelong Learning via Continual Self-Modeling
Blake Camp
J. Mandivarapu
Rolando Estrada
CLL
SSL
11
17
0
25 May 2018
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
11
304
0
24 May 2018
Bayesian Incremental Learning for Deep Neural Networks
Bayesian Incremental Learning for Deep Neural Networks
Max Kochurov
T. Garipov
D. Podoprikhin
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
OOD
CLL
BDL
8
22
0
20 Feb 2018
Overcoming catastrophic forgetting with hard attention to the task
Overcoming catastrophic forgetting with hard attention to the task
Joan Serra
Dídac Surís
M. Miron
Alexandros Karatzoglou
CLL
27
1,048
0
04 Jan 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,134
0
06 Jun 2015
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