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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"

43 / 3,693 papers shown
Title
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
FAtt
AIMat
OffRL
AI4CE
116
2,154
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
24
206
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
28
514
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
13
17
0
20 Aug 2017
Software engineering and the SP Theory of Intelligence
Software engineering and the SP Theory of Intelligence
J. Wolff
19
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
CLL
AI4CE
11
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
37
710
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
19
1,201
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
32
107
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
BDL
MLT
27
0
0
13 Jul 2017
Labeled Memory Networks for Online Model Adaptation
Labeled Memory Networks for Online Model Adaptation
Shiv Shankar
Sunita Sarawagi
KELM
25
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
22
3
0
28 Jun 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLM
CLL
33
2,662
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
22
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
36
104
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
CLL
OffRL
198
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
16
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
MedIm
OOD
35
112
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
D. Song
NAI
21
11
0
05 Jun 2017
Lifelong Generative Modeling
Lifelong Generative Modeling
Jason Ramapuram
Magda Gregorova
Alexandros Kalousis
BDL
CLL
24
119
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
34
87
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
KELM
CLL
21
2,033
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
19
132
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
47
918
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
12
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
16
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
87
3,074
0
19 May 2017
Incremental Learning Through Deep Adaptation
Incremental Learning Through Deep Adaptation
Amir Rosenfeld
John K. Tsotsos
CLL
19
275
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
34
489
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
11
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
40
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
31
136
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
30
668
0
24 Mar 2017
Continual Learning Through Synaptic Intelligence
Continual Learning Through Synaptic Intelligence
Friedemann Zenke
Ben Poole
Surya Ganguli
39
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
457
11,715
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
24
196
0
06 Mar 2017
Meta Networks
Meta Networks
Tsendsuren Munkhdalai
Hong-ye Yu
GNN
AI4CE
38
1,058
0
02 Mar 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,503
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
CLL
OOD
37
3,672
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
SSeg
SSL
48
670
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
28
6
0
17 Aug 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
101
4,319
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
24
70
0
31 Dec 2015
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