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Overcoming catastrophic forgetting in neural networks
v1v2 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Overcoming catastrophic forgetting in neural networks"

48 / 3,798 papers shown
Title
Deep Generative Dual Memory Network for Continual Learning
Deep Generative Dual Memory Network for Continual Learning
Nitin Kamra
Umang Gupta
Yan Liu
BDL
109
153
0
28 Oct 2017
Generalization Tower Network: A Novel Deep Neural Network Architecture
  for Multi-Task Learning
Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning
Yuhang Song
Mai Xu
Songyang Zhang
Liangyu Huo
83
3
0
27 Oct 2017
Superposed Episodic and Semantic Memory via Sparse Distributed
  Representation
Superposed Episodic and Semantic Memory via Sparse Distributed Representation
Rod Rinkus
Jasmin Léveillé
37
2
0
21 Oct 2017
Bayesian Hypernetworks
Bayesian Hypernetworks
David M. Krueger
Chin-Wei Huang
Riashat Islam
Ryan Turner
Alexandre Lacoste
Aaron Courville
UQCVBDL
91
139
0
13 Oct 2017
Multi-task Learning with Gradient Guided Policy Specialization
Multi-task Learning with Gradient Guided Policy Specialization
Wenhao Yu
Chenxi Liu
Greg Turk
35
2
0
23 Sep 2017
FiLM: Visual Reasoning with a General Conditioning Layer
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez
Florian Strub
H. D. Vries
Vincent Dumoulin
Aaron Courville
FAttAIMatOffRLAI4CE
521
2,250
0
22 Sep 2017
Deep Learning for Video Game Playing
Deep Learning for Video Game Playing
Niels Justesen
Philip Bontrager
Julian Togelius
S. Risi
VLM
115
208
0
25 Aug 2017
Incremental Learning of Object Detectors without Catastrophic Forgetting
Incremental Learning of Object Detectors without Catastrophic Forgetting
K. Shmelkov
Cordelia Schmid
Alahari Karteek
ObjD
150
522
0
23 Aug 2017
A Capacity Scaling Law for Artificial Neural Networks
A Capacity Scaling Law for Artificial Neural Networks
Gerald Friedland
M. M. Krell
85
17
0
20 Aug 2017
Software engineering and the SP Theory of Intelligence
Software engineering and the SP Theory of Intelligence
J. Wolff
48
20
0
18 Aug 2017
General AI Challenge - Round One: Gradual Learning
General AI Challenge - Round One: Gradual Learning
Jan Feyereisl
Matej Nikl
Martin Poliak
Martin Stránský
M. Vlasak
CLLAI4CE
37
1
0
17 Aug 2017
Measuring Catastrophic Forgetting in Neural Networks
Measuring Catastrophic Forgetting in Neural Networks
Ronald Kemker
Marc McClure
Angelina Abitino
Tyler L. Hayes
Christopher Kanan
CLL
135
728
0
07 Aug 2017
Lifelong Learning with Dynamically Expandable Networks
Lifelong Learning with Dynamically Expandable Networks
Jaehong Yoon
Eunho Yang
Jeongtae Lee
Sung Ju Hwang
CLL
214
1,233
0
04 Aug 2017
Regularization techniques for fine-tuning in neural machine translation
Regularization techniques for fine-tuning in neural machine translation
Antonio Valerio Miceli Barone
Barry Haddow
Ulrich Germann
Rico Sennrich
97
108
0
31 Jul 2017
A Brief Study of In-Domain Transfer and Learning from Fewer Samples
  using A Few Simple Priors
A Brief Study of In-Domain Transfer and Learning from Fewer Samples using A Few Simple Priors
Marc Pickett
Ayush Sekhari
James Davidson
BDLMLT
46
0
0
13 Jul 2017
Labeled Memory Networks for Online Model Adaptation
Labeled Memory Networks for Online Model Adaptation
Shiv Shankar
Sunita Sarawagi
KELM
104
3
0
05 Jul 2017
A Roadmap for the Development of the "SP Machine" for Artificial
  Intelligence
A Roadmap for the Development of the "SP Machine" for Artificial Intelligence
Vasile Palade
42
3
0
28 Jun 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLMCLL
453
2,752
0
26 Jun 2017
A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional
  Visual Environment
A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional Visual Environment
Kevin T. Feigelis
Daniel L. K. Yamins
38
0
0
22 Jun 2017
Scalable Co-Optimization of Morphology and Control in Embodied Machines
Scalable Co-Optimization of Morphology and Control in Embodied Machines
Nick Cheney
Josh Bongard
Vytas SunSpiral
Hod Lipson
94
106
0
19 Jun 2017
Dex: Incremental Learning for Complex Environments in Deep Reinforcement
  Learning
Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning
Nick Erickson
Qi Zhao
CLLOffRL
432
2
0
19 Jun 2017
Learning Hierarchical Information Flow with Recurrent Neural Modules
Learning Hierarchical Information Flow with Recurrent Neural Modules
Danijar Hafner
A. Irpan
James Davidson
N. Heess
59
9
0
18 Jun 2017
Neural Domain Adaptation for Biomedical Question Answering
Neural Domain Adaptation for Biomedical Question Answering
Georg Wiese
Dirk Weissenborn
Mariana Neves
MedImOOD
102
113
0
12 Jun 2017
Towards Synthesizing Complex Programs from Input-Output Examples
Towards Synthesizing Complex Programs from Input-Output Examples
Xinyun Chen
Chang-rui Liu
Basel Alomair
NAI
99
11
0
05 Jun 2017
Lifelong Generative Modeling
Lifelong Generative Modeling
Jason Ramapuram
Magda Gregorova
Alexandros Kalousis
BDLCLL
152
120
0
27 May 2017
Jointly Learning Sentence Embeddings and Syntax with Unsupervised
  Tree-LSTMs
Jointly Learning Sentence Embeddings and Syntax with Unsupervised Tree-LSTMs
Jean Maillard
S. Clark
Dani Yogatama
84
89
0
25 May 2017
Continual Learning with Deep Generative Replay
Continual Learning with Deep Generative Replay
Hanul Shin
Jung Kwon Lee
Jaehong Kim
Jiwon Kim
KELMCLL
144
2,095
0
24 May 2017
Continual Learning in Generative Adversarial Nets
Continual Learning in Generative Adversarial Nets
Ari Seff
Alex Beatson
Daniel Suo
Han Liu
GAN
87
133
0
23 May 2017
Learning multiple visual domains with residual adapters
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
228
940
0
22 May 2017
Shallow Updates for Deep Reinforcement Learning
Shallow Updates for Deep Reinforcement Learning
Nir Levine
Tom Zahavy
D. Mankowitz
Aviv Tamar
Shie Mannor
OffRL
90
48
0
21 May 2017
Diffusion-based neuromodulation can eliminate catastrophic forgetting in
  simple neural networks
Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks
Roby Velez
Jeff Clune
DiffM
88
50
0
20 May 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
347
3,145
0
19 May 2017
Incremental Learning Through Deep Adaptation
Incremental Learning Through Deep Adaptation
Amir Rosenfeld
John K. Tsotsos
CLL
85
280
0
11 May 2017
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
Vincenzo Lomonaco
Davide Maltoni
209
496
0
09 May 2017
Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously
  Handling Multiple Intersections
Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously Handling Multiple Intersections
David Isele
Akansel Cosgun
K. Fujimura
38
11
0
02 May 2017
A Strategy for an Uncompromising Incremental Learner
A Strategy for an Uncompromising Incremental Learner
Ragav Venkatesan
Hemanth Venkateswara
S. Panchanathan
Baoxin Li
CLL
102
41
0
02 May 2017
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic
  Artificial Neural Networks
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks
Andrea Soltoggio
Kenneth O. Stanley
S. Risi
AI4CE
116
137
0
30 Mar 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee
Jin-Hwa Kim
Jaehyun Jun
Jung-Woo Ha
Byoung-Tak Zhang
CLL
107
680
0
24 Mar 2017
Continual Learning Through Synaptic Intelligence
Continual Learning Through Synaptic Intelligence
Friedemann Zenke
Ben Poole
Surya Ganguli
114
51
0
13 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
1.3K
12,024
0
09 Mar 2017
Generative and Discriminative Text Classification with Recurrent Neural
  Networks
Generative and Discriminative Text Classification with Recurrent Neural Networks
Dani Yogatama
Chris Dyer
Wang Ling
Phil Blunsom
100
200
0
06 Mar 2017
Meta Networks
Meta Networks
Tsendsuren Munkhdalai
Hong-ye Yu
GNNAI4CE
126
1,073
0
02 Mar 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
379
1,551
0
25 Jan 2017
iCaRL: Incremental Classifier and Representation Learning
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLLOOD
345
3,799
0
23 Nov 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-,
  Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
SSegSSL
166
677
0
07 Sep 2016
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for
  Task-Oriented Dialogue Systems
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems
Zachary Chase Lipton
Xiujun Li
Jianfeng Gao
Lihong Li
Faisal Ahmed
Li Deng
97
6
0
17 Aug 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLLOODSSL
520
4,461
0
29 Jun 2016
Distributed Bayesian Learning with Stochastic Natural-gradient
  Expectation Propagation and the Posterior Server
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server
Leonard Hasenclever
Stefan Webb
Thibaut Lienart
Sebastian J. Vollmer
Balaji Lakshminarayanan
Charles Blundell
Yee Whye Teh
BDL
207
70
0
31 Dec 2015
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