Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
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
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Overcoming catastrophic forgetting in neural networks"
50 / 3,717 papers shown
Title
Catastrophic forgetting: still a problem for DNNs
Benedikt Pfülb
A. Gepperth
Saad Abdullah
André Kilian
CLL
19
22
0
20 May 2019
Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning
Xu Zhang
Yang Yao
Baile Xu
Lekun Mao
S. Furao
Jian Zhao
Qingwei Lin
CLL
12
2
0
20 May 2019
Learning to Memorize in Neural Task-Oriented Dialogue Systems
Chien-Sheng Wu
26
6
0
19 May 2019
Budget-Aware Adapters for Multi-Domain Learning
Rodrigo Berriel
Stéphane Lathuilière
Moin Nabi
T. Klein
Thiago Oliveira-Santos
N. Sebe
Elisa Ricci
OOD
30
41
0
15 May 2019
Curriculum Learning for Domain Adaptation in Neural Machine Translation
Xuan Zhang
Pamela Shapiro
Manish Kumar
Paul McNamee
Marine Carpuat
Kevin Duh
30
124
0
14 May 2019
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics
Grady Williams
Brian Goldfain
James M. Rehg
Evangelos A. Theodorou
20
12
0
13 May 2019
Bayesian Optimized Continual Learning with Attention Mechanism
Ju Xu
Jin Ma
Zhanxing Zhu
CLL
BDL
16
6
0
10 May 2019
Meta-learning of Sequential Strategies
Pedro A. Ortega
Jane X. Wang
Mark Rowland
Tim Genewein
Z. Kurth-Nelson
...
Yee Whye Teh
H. V. Hasselt
Nando de Freitas
M. Botvinick
Shane Legg
OffRL
40
98
0
08 May 2019
Toybox: A Suite of Environments for Experimental Evaluation of Deep Reinforcement Learning
Emma Tosch
Kaleigh Clary
John Foley
David D. Jensen
OffRL
22
9
0
07 May 2019
Improving and Understanding Variational Continual Learning
S. Swaroop
Cuong V Nguyen
T. Bui
Richard Turner
CLL
30
50
0
06 May 2019
Information asymmetry in KL-regularized RL
Alexandre Galashov
Siddhant M. Jayakumar
Leonard Hasenclever
Dhruva Tirumala
Jonathan Richard Schwarz
Guillaume Desjardins
Wojciech M. Czarnecki
Yee Whye Teh
Razvan Pascanu
N. Heess
OffRL
25
102
0
03 May 2019
Continuous Learning for Large-scale Personalized Domain Classification
Han Li
Jihwan Lee
Sidharth Mudgal
R. Sarikaya
Young-Bum Kim
CLL
30
8
0
02 May 2019
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning
Tom Schaul
Diana Borsa
Joseph Modayil
Razvan Pascanu
24
63
0
25 Apr 2019
Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients
Yu Chen
Tom Diethe
Neil D. Lawrence
CLL
BDL
14
13
0
24 Apr 2019
Continual Learning with Self-Organizing Maps
P. Bashivan
Martin Schrimpf
R. Ajemian
Irina Rish
Matthew D Riemer
Y. Tu
CLL
9
11
0
19 Apr 2019
Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis
Ilija Radosavovic
Iasonas Kokkinos
87
246
0
18 Apr 2019
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition
Jiabin Xue
Jiqing Han
Tieran Zheng
Xiang Gao
Jiaxing Guo
CLL
27
9
0
17 Apr 2019
A Deep Optimization Approach for Image Deconvolution
Zhijian Luo
Siyu Chen
Y. Qian
16
1
0
16 Apr 2019
Three scenarios for continual learning
Gido M. van de Ven
A. Tolias
CLL
40
877
0
15 Apr 2019
ACE: Adapting to Changing Environments for Semantic Segmentation
Zuxuan Wu
Xin Wang
Joseph E. Gonzalez
Tom Goldstein
L. Davis
OOD
19
101
0
12 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
44
1,802
0
10 Apr 2019
Active Domain Randomization
Bhairav Mehta
Manfred Diaz
Florian Golemo
C. Pal
Liam Paull
30
258
0
09 Apr 2019
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval
Qing Liu
Lingxi Xie
Huiyu Wang
Alan Yuille
VLM
32
108
0
05 Apr 2019
Reducing catastrophic forgetting when evolving neural networks
Joseph Early
19
2
0
05 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
O. Ostapenko
M. Puscas
T. Klein
P. Jähnichen
Moin Nabi
CLL
67
298
0
05 Apr 2019
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning
Peng Zhou
Long Mai
Jianming Zhang
N. Xu
Zuxuan Wu
L. Davis
CLL
VLM
21
54
0
03 Apr 2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Xilai Li
Yingbo Zhou
Tianfu Wu
R. Socher
Caiming Xiong
CLL
25
421
0
31 Mar 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee
Kimin Lee
Jinwoo Shin
Honglak Lee
CLL
50
203
0
29 Mar 2019
RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge
Dawei Li
Serafettin Tasci
Shalini Ghosh
Jingwen Zhu
Junting Zhang
Larry Heck
ObjD
20
9
0
26 Mar 2019
Implicit Generation and Generalization in Energy-Based Models
Yilun Du
Igor Mordatch
BDL
DiffM
19
40
0
20 Mar 2019
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML
Jie Zhang
Junting Zhang
Shalini Ghosh
Dawei Li
Jingwen Zhu
Heming Zhang
Yalin Wang
CLL
25
2
0
20 Mar 2019
Class-incremental Learning via Deep Model Consolidation
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
CLL
27
335
0
19 Mar 2019
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay
Mohammad Rostami
Soheil Kolouri
Praveen K. Pilly
CLL
38
67
0
11 Mar 2019
Continual Learning via Neural Pruning
Siavash Golkar
Michael Kagan
Kyunghyun Cho
CLL
21
160
0
11 Mar 2019
Continual Learning Using World Models for Pseudo-Rehearsal
Nicholas A. Ketz
Soheil Kolouri
Praveen K. Pilly
KELM
CLL
9
5
0
06 Mar 2019
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
Representative Task Self-selection for Flexible Clustered Lifelong Learning
Gan Sun
Yang Cong
Qianqian Wang
Bineng Zhong
Y. Fu
CLL
23
55
0
06 Mar 2019
Model Primitive Hierarchical Lifelong Reinforcement Learning
Bohan Wu
Jayesh K. Gupta
Mykel J. Kochenderfer
OffRL
22
10
0
04 Mar 2019
Attention-Based Structural-Plasticity
Soheil Kolouri
Nicholas A. Ketz
Xinyun Zou
J. Krichmar
Praveen K. Pilly
CLL
11
12
0
02 Mar 2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Yu Li
Chao Huang
Lizhong Ding
Zhongxiao Li
Yijie Pan
Xin Gao
AI4CE
29
296
0
28 Feb 2019
On Tiny Episodic Memories in Continual Learning
Arslan Chaudhry
Marcus Rohrbach
Mohamed Elhoseiny
Thalaiyasingam Ajanthan
P. Dokania
Philip Torr
MarcÁurelio Ranzato
CLL
52
394
0
27 Feb 2019
Design of intentional backdoors in sequential models
Zhaoyuan Yang
N. Iyer
Johan Reimann
Nurali Virani
SILM
AAML
28
38
0
26 Feb 2019
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition
Jaehong Yoon
Saehoon Kim
Eunho Yang
Sung Ju Hwang
CLL
39
176
0
25 Feb 2019
Online Meta-Learning
Chelsea Finn
Aravind Rajeswaran
Sham Kakade
Sergey Levine
CLL
33
252
0
22 Feb 2019
Generative Memory for Lifelong Reinforcement Learning
Aswin Raghavan
Jesse Hostetler
S. Chai
OffRL
CLL
6
2
0
22 Feb 2019
Overcoming Multi-Model Forgetting
Yassine Benyahia
Kaicheng Yu
Kamil Bennani-Smires
Martin Jaggi
A. Davison
Mathieu Salzmann
C. Musat
MoMe
KELM
CLL
40
37
0
21 Feb 2019
Differentially Private Continual Learning
Sebastian Farquhar
Y. Gal
FedML
MU
13
12
0
18 Feb 2019
A Unifying Bayesian View of Continual Learning
Sebastian Farquhar
Y. Gal
BDL
CLL
16
66
0
18 Feb 2019
Realizing Continual Learning through Modeling a Learning System as a Fiber Bundle
Zhenfeng Cao
24
2
0
16 Feb 2019
Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning
Andrew Silva
Matthew C. Gombolay
OffRL
32
20
0
15 Feb 2019
Previous
1
2
3
...
69
70
71
...
73
74
75
Next