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Online Structured Laplace Approximations For Overcoming Catastrophic
  Forgetting

Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting

20 May 2018
H. Ritter
Aleksandar Botev
David Barber
    BDL
    CLL
ArXivPDFHTML

Papers citing "Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting"

16 / 216 papers shown
Title
Improving and Understanding Variational Continual Learning
Improving and Understanding Variational Continual Learning
S. Swaroop
Cuong V Nguyen
T. Bui
Richard Turner
CLL
22
50
0
06 May 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
43
201
0
29 Mar 2019
Continual Learning via Neural Pruning
Continual Learning via Neural Pruning
Siavash Golkar
Michael Kagan
Kyunghyun Cho
CLL
21
159
0
11 Mar 2019
Sentence Embedding Alignment for Lifelong Relation Extraction
Sentence Embedding Alignment for Lifelong Relation Extraction
Hong Wang
Wenhan Xiong
Mo Yu
Xiaoxiao Guo
Shiyu Chang
William Yang Wang
CLL
29
133
0
06 Mar 2019
A Unifying Bayesian View of Continual Learning
A Unifying Bayesian View of Continual Learning
Sebastian Farquhar
Y. Gal
BDL
CLL
8
66
0
18 Feb 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning
A Simple Baseline for Bayesian Uncertainty in Deep Learning
Wesley J. Maddox
T. Garipov
Pavel Izmailov
Dmitry Vetrov
A. Wilson
BDL
UQCV
45
796
0
07 Feb 2019
An Empirical Study of Example Forgetting during Deep Neural Network
  Learning
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva
Alessandro Sordoni
Rémi Tachet des Combes
Adam Trischler
Yoshua Bengio
Geoffrey J. Gordon
46
715
0
12 Dec 2018
Overcoming Catastrophic Forgetting by Soft Parameter Pruning
Overcoming Catastrophic Forgetting by Soft Parameter Pruning
Jian-wei Peng
Jiang Hao
Zhuo Li
Enqiang Guo
X. Wan
Min Deng
Qing Zhu
Haifeng Li
CLL
20
5
0
04 Dec 2018
Re-evaluating Continual Learning Scenarios: A Categorization and Case
  for Strong Baselines
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
Yen-Chang Hsu
Yen-Cheng Liu
Anita Ramasamy
Z. Kira
CLL
ELM
24
351
0
30 Oct 2018
Incremental Learning for Semantic Segmentation of Large-Scale Remote
  Sensing Data
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data
O. Tasar
Y. Tarabalka
Pierre Alliez
CLL
11
127
0
29 Oct 2018
Attended Temperature Scaling: A Practical Approach for Calibrating Deep
  Neural Networks
Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks
A. Mozafari
H. Gomes
Wilson Leão
Steeven Janny
Christian Gagné
10
25
0
27 Oct 2018
A Coordinate-Free Construction of Scalable Natural Gradient
A Coordinate-Free Construction of Scalable Natural Gradient
Kevin Luk
Roger C. Grosse
11
11
0
30 Aug 2018
DynMat, a network that can learn after learning
DynMat, a network that can learn after learning
J. H. Lee
OffRL
24
5
0
16 Jun 2018
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
28
305
0
24 May 2018
Measuring and regularizing networks in function space
Measuring and regularizing networks in function space
Ari S. Benjamin
David Rolnick
Konrad Paul Kording
21
138
0
21 May 2018
Task Agnostic Continual Learning Using Online Variational Bayes
Task Agnostic Continual Learning Using Online Variational Bayes
Chen Zeno
Itay Golan
Elad Hoffer
Daniel Soudry
CLL
FedML
BDL
17
109
0
27 Mar 2018
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