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1612.00796
Cited By
Overcoming catastrophic forgetting in neural networks
2 December 2016
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
Andrei A. Rusu
Kieran Milan
John Quan
Tiago Ramalho
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
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Papers citing
"Overcoming catastrophic forgetting in neural networks"
50 / 3,719 papers shown
Title
Autoencoder-Based Incremental Class Learning without Retraining on Old Data
Euntae Choi
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Kiyoung Choi
CLL
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0
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Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction
S. Ktena
Alykhan Tejani
Lucas Theis
Pranay K. Myana
D. Dilipkumar
Ferenc Huszár
Steven Yoo
Wenzhe Shi
NoLa
19
52
0
15 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Guanghang Cai
Natalia Díaz Rodríguez
David Filliat
OffRL
37
60
0
11 Jul 2019
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges
N. Arivazhagan
Ankur Bapna
Orhan Firat
Dmitry Lepikhin
Melvin Johnson
...
George F. Foster
Colin Cherry
Wolfgang Macherey
Zhiwen Chen
Yonghui Wu
37
424
0
11 Jul 2019
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Vincenzo Lomonaco
Davide Maltoni
Lorenzo Pellegrini
CLL
VLM
34
67
0
08 Jul 2019
Incremental Concept Learning via Online Generative Memory Recall
Huaiyu Li
Weiming Dong
Bao-Gang Hu
CLL
41
23
0
05 Jul 2019
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
Sebastian Farquhar
Michael A. Osborne
Y. Gal
UQCV
BDL
26
56
0
01 Jul 2019
NetTailor: Tuning the Architecture, Not Just the Weights
Pedro Morgado
Nuno Vasconcelos
MQ
30
29
0
29 Jun 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
35
249
0
29 Jun 2019
Continual Rare-Class Recognition with Emerging Novel Subclasses
Hung T. Nguyen
Xuejian Wang
Leman Akoglu
33
3
0
28 Jun 2019
Lifelong Learning Starting From Zero
Claes Strannegård
Herman Carlström
Niklas Engsner
Fredrik Mäkeläinen
Filip Slottner Seholm
M. Chehreghani
AI4CE
KELM
CLL
14
3
0
24 Jun 2019
Beneficial perturbation network for continual learning
Shixian Wen
Laurent Itti
CLL
KELM
24
2
0
22 Jun 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
James Requeima
Jonathan Gordon
J. Bronskill
Sebastian Nowozin
Richard Turner
35
241
0
18 Jun 2019
Rapid online learning and robust recall in a neuromorphic olfactory circuit
N. Imam
T. A. Cleland
23
142
0
17 Jun 2019
Conditional Computation for Continual Learning
Min Lin
Jie Fu
Yoshua Bengio
CLL
36
10
0
16 Jun 2019
Variational Federated Multi-Task Learning
Luca Corinzia
Ami Beuret
J. M. Buhmann
FedML
32
160
0
14 Jun 2019
Continual and Multi-Task Architecture Search
Ramakanth Pasunuru
Joey Tianyi Zhou
CLL
33
48
0
12 Jun 2019
Task Agnostic Continual Learning via Meta Learning
Xu He
Jakub Sygnowski
Alexandre Galashov
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
OOD
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FedML
29
94
0
12 Jun 2019
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Natalia Díaz Rodríguez
David Filliat
CLL
OffRL
44
45
0
11 Jun 2019
Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering
Claudio Greco
Barbara Plank
Raquel Fernández
Raffaella Bernardi
CLL
KELM
25
49
0
10 Jun 2019
Project Thyia: A Forever Gameplayer
Raluca D. Gaina
Simon Lucas
Diego Perez-Liebana
14
5
0
10 Jun 2019
Generative Continual Concept Learning
Mohammad Rostami
Soheil Kolouri
J. McClelland
Praveen K. Pilly
CLL
BDL
11
46
0
10 Jun 2019
Forward and Backward Knowledge Transfer for Sentiment Classification
Hao Wang
Bing-Quan Liu
Shuai Wang
Nianzu Ma
Yan Yang
CLL
11
18
0
08 Jun 2019
Localizing Catastrophic Forgetting in Neural Networks
Felix Wiewel
Binh Yang
11
11
0
06 Jun 2019
Practical Deep Learning with Bayesian Principles
Kazuki Osawa
S. Swaroop
Anirudh Jain
Runa Eschenhagen
Richard Turner
Rio Yokota
Mohammad Emtiyaz Khan
BDL
UQCV
56
243
0
06 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Sayna Ebrahimi
Mohamed Elhoseiny
Trevor Darrell
Marcus Rohrbach
CLL
BDL
28
195
0
06 Jun 2019
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings
Vihari Piratla
Sunita Sarawagi
Soumen Chakrabarti
CLL
24
0
0
05 Jun 2019
Lifelong Learning with a Changing Action Set
Yash Chandak
Georgios Theocharous
Chris Nota
Philip S. Thomas
CLL
OffRL
27
29
0
05 Jun 2019
A Case for Backward Compatibility for Human-AI Teams
Gagan Bansal
Besmira Nushi
Ece Kamar
Daniel S. Weld
Walter S. Lasecki
Eric Horvitz
23
8
0
04 Jun 2019
An Adaptive Random Path Selection Approach for Incremental Learning
Jathushan Rajasegaran
Munawar Hayat
Salman Khan
Fahad Shahbaz Khan
Ling Shao
Ming-Hsuan Yang
ODL
CLL
23
24
0
03 Jun 2019
Episodic Memory in Lifelong Language Learning
Cyprien de Masson dÁutume
Sebastian Ruder
Lingpeng Kong
Dani Yogatama
CLL
KELM
51
285
0
03 Jun 2019
Continual learning with hypernetworks
J. Oswald
Christian Henning
Benjamin Grewe
João Sacramento
CLL
28
352
0
03 Jun 2019
Domain Adaptive Inference for Neural Machine Translation
Danielle Saunders
Felix Stahlberg
Adria de Gispert
Bill Byrne
AI4CE
29
29
0
02 Jun 2019
Incremental Few-Shot Learning for Pedestrian Attribute Recognition
Liuyu Xiang
Xiaoming Jin
Guiguang Ding
Jungong Han
Leida Li
CLL
8
30
0
02 Jun 2019
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
47
1,239
0
30 May 2019
Meta-Learning Representations for Continual Learning
Khurram Javed
Martha White
KELM
CLL
20
318
0
29 May 2019
Limitations of the Empirical Fisher Approximation for Natural Gradient Descent
Frederik Kunstner
Lukas Balles
Philipp Hennig
40
210
0
29 May 2019
Lifelong Bayesian Optimization
Yao Zhang
James Jordon
Ahmed Alaa
M. Schaar
43
11
0
29 May 2019
Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings
A. Daruna
Weiyu Liu
Z. Kira
Sonia Chernova
25
0
0
29 May 2019
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
Martin Mundt
Iuliia Pliushch
Sagnik Majumder
Yongwon Hong
Visvanathan Ramesh
UQCV
BDL
30
40
0
28 May 2019
Learning Portable Representations for High-Level Planning
Steven D. James
Benjamin Rosman
George Konidaris
SSL
16
41
0
28 May 2019
Single-Net Continual Learning with Progressive Segmented Training (PST)
Xiaocong Du
Gouranga Charan
Frank Liu
Yu Cao
CLL
22
12
0
28 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
Jeff Clune
77
118
0
27 May 2019
Sequential mastery of multiple visual tasks: Networks naturally learn to learn and forget to forget
Guy Davidson
Michael C. Mozer
CLL
39
23
0
26 May 2019
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting
Alexander Ororbia
A. Mali
Daniel Kifer
C. Lee Giles
CLL
KELM
37
15
0
25 May 2019
Hebbian-Descent
Jan Melchior
Laurenz Wiskott
22
8
0
25 May 2019
Continual Reinforcement Learning in 3D Non-stationary Environments
Vincenzo Lomonaco
Karan Desai
Eugenio Culurciello
Davide Maltoni
OffRL
23
41
0
24 May 2019
Zero-shot task adaptation by homoiconic meta-mapping
Andrew Kyle Lampinen
James L. McClelland
22
1
0
23 May 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
Xue Bin Peng
Michael Chang
Grace Zhang
Pieter Abbeel
Sergey Levine
31
194
0
23 May 2019
Variational Prototype Replays for Continual Learning
Mengmi Zhang
Tao Wang
J. Lim
Gabriel Kreiman
Jiashi Feng
VLM
CLL
19
15
0
23 May 2019
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