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1805.07810
Cited By
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting
20 May 2018
H. Ritter
Aleksandar Botev
David Barber
BDL
CLL
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Papers citing
"Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting"
31 / 231 papers shown
Residual Continual Learning
AAAI Conference on Artificial Intelligence (AAAI), 2020
Janghyeon Lee
Donggyu Joo
H. Hong
Junmo Kim
CLL
195
25
0
17 Feb 2020
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Jian-wei Peng
Bo Tang
Jiang Hao
Zhuo Li
Yinjie Lei
Tao Lin
Haifeng Li
AAML
CLL
166
41
0
19 Dec 2019
Regularization Shortcomings for Continual Learning
Timothée Lesort
Andrei Stoian
David Filliat
CLL
287
50
0
06 Dec 2019
Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
Samuel Kessler
Vu Nguyen
S. Zohren
Stephen J. Roberts
BDL
474
26
0
04 Dec 2019
A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift
A. Mozafari
H. Gomes
Christian Gagné
91
0
0
25 Nov 2019
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure
Zhijie Deng
Yucen Luo
Jun Zhu
Bo Zhang
UQCV
BDL
184
2
0
22 Nov 2019
A Conceptual Framework for Lifelong Learning
Charles X. Ling
Tanner A. Bohn
CLL
278
3
0
21 Nov 2019
Orthogonal Gradient Descent for Continual Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Mehrdad Farajtabar
Navid Azizan
Alex Mott
Ang Li
CLL
677
440
0
15 Oct 2019
Compacting, Picking and Growing for Unforgetting Continual Learning
Neural Information Processing Systems (NeurIPS), 2019
Steven C. Y. Hung
Cheng-Hao Tu
Cheng-En Wu
Chien-Hung Chen
Yi-Ming Chan
Chu-Song Chen
CLL
366
352
0
15 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting
European Conference on Computer Vision (ECCV), 2019
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
CLL
422
329
0
06 Oct 2019
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
Tyler L. Hayes
Christopher Kanan
CLL
347
159
0
04 Sep 2019
Toward Understanding Catastrophic Forgetting in Continual Learning
Cuong V Nguyen
Alessandro Achille
Michael Lam
Tal Hassner
Vijay Mahadevan
Stefano Soatto
244
111
0
02 Aug 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Information Fusion (Inf. Fusion), 2019
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
350
286
0
29 Jun 2019
Task Agnostic Continual Learning via Meta Learning
Xu He
Jakub Sygnowski
Alexandre Galashov
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
OOD
CLL
FedML
158
99
0
12 Jun 2019
Continual learning with hypernetworks
International Conference on Learning Representations (ICLR), 2019
J. Oswald
Christian Henning
Benjamin Grewe
João Sacramento
CLL
420
391
0
03 Jun 2019
Improving and Understanding Variational Continual Learning
S. Swaroop
Cuong V Nguyen
T. Bui
Richard Turner
CLL
128
53
0
06 May 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee
Kimin Lee
Jinwoo Shin
Honglak Lee
CLL
386
225
0
29 Mar 2019
Continual Learning via Neural Pruning
Siavash Golkar
Michael Kagan
Dong Wang
CLL
209
170
0
11 Mar 2019
Sentence Embedding Alignment for Lifelong Relation Extraction
Hong Wang
Wenhan Xiong
Mo Yu
Xiaoxiao Guo
Shiyu Chang
William Yang Wang
CLL
233
156
0
06 Mar 2019
A Unifying Bayesian View of Continual Learning
Sebastian Farquhar
Y. Gal
BDL
CLL
145
76
0
18 Feb 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning
Wesley J. Maddox
T. Garipov
Pavel Izmailov
Dmitry Vetrov
A. Wilson
BDL
UQCV
732
910
0
07 Feb 2019
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
708
871
0
12 Dec 2018
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
74
5
0
04 Dec 2018
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
Yen-Chang Hsu
Yen-Cheng Liu
Anita Ramasamy
Z. Kira
CLL
ELM
372
385
0
30 Oct 2018
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data
O. Tasar
Y. Tarabalka
Pierre Alliez
CLL
173
141
0
29 Oct 2018
Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks
A. Mozafari
H. Gomes
Wilson Leão
Steeven Janny
Christian Gagné
237
33
0
27 Oct 2018
A Coordinate-Free Construction of Scalable Natural Gradient
Kevin Luk
Roger C. Grosse
90
11
0
30 Aug 2018
DynMat, a network that can learn after learning
J. H. Lee
OffRL
188
6
0
16 Jun 2018
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
342
320
0
24 May 2018
Measuring and regularizing networks in function space
Ari S. Benjamin
David Rolnick
Konrad Paul Kording
311
157
0
21 May 2018
Task Agnostic Continual Learning Using Online Variational Bayes
Chen Zeno
Itay Golan
Elad Hoffer
Daniel Soudry
CLL
FedML
BDL
353
124
0
27 Mar 2018
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