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Overcoming catastrophic forgetting in neural networks

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 / 3,717 papers shown
Title
Catastrophic forgetting: still a problem for DNNs
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
A Deep Optimization Approach for Image Deconvolution
Zhijian Luo
Siyu Chen
Y. Qian
16
1
0
16 Apr 2019
Three scenarios for continual learning
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Online Meta-Learning
Chelsea Finn
Aravind Rajeswaran
Sham Kakade
Sergey Levine
CLL
33
252
0
22 Feb 2019
Generative Memory for Lifelong Reinforcement Learning
Generative Memory for Lifelong Reinforcement Learning
Aswin Raghavan
Jesse Hostetler
S. Chai
OffRL
CLL
6
2
0
22 Feb 2019
Overcoming Multi-Model Forgetting
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
Differentially Private Continual Learning
Sebastian Farquhar
Y. Gal
FedML
MU
13
12
0
18 Feb 2019
A Unifying Bayesian View of Continual Learning
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
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
Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning
Andrew Silva
Matthew C. Gombolay
OffRL
32
20
0
15 Feb 2019
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