Papers
Communities
Organizations
Events
Blog
Pricing
Search
Open menu
Home
Papers
1612.00796
Cited By
v1
v2 (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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Overcoming catastrophic forgetting in neural networks"
50 / 3,798 papers shown
Title
Abstraction Learning
Fei Deng
Jinsheng Ren
Feng Chen
3DH
OCL
18
0
0
11 Sep 2018
StackNet: Stacking Parameters for Continual learning
Jangho Kim
Jeesoo Kim
Nojun Kwak
CLL
38
6
0
07 Sep 2018
Memory Replay GANs: learning to generate images from new categories without forgetting
Chenshen Wu
Luis Herranz
Xialei Liu
Yaxing Wang
Joost van de Weijer
Bogdan Raducanu
CLL
VLM
GAN
107
197
0
06 Sep 2018
Recurrent World Models Facilitate Policy Evolution
David R Ha
Jürgen Schmidhuber
SyDa
TPM
185
959
0
04 Sep 2018
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
Alessandro Achille
Tom Eccles
Loic Matthey
Christopher P. Burgess
Nicholas Watters
Alexander Lerchner
I. Higgins
BDL
89
120
0
20 Aug 2018
Metric Learning for Novelty and Anomaly Detection
Marc Masana
Idoia Ruiz
J. Serrat
Joost van de Weijer
Antonio M. López
OODD
97
81
0
16 Aug 2018
On the Decision Boundary of Deep Neural Networks
Yu Li
Lizhong Ding
Xin Gao
UQCV
77
37
0
16 Aug 2018
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
119
72
0
14 Aug 2018
Addressee and Response Selection for Multilingual Conversation
Motoki Sato
Hiroki Ouchi
Yuta Tsuboi
32
7
0
12 Aug 2018
Deep Stacked Stochastic Configuration Networks for Lifelong Learning of Non-Stationary Data Streams
Mahardhika Pratama
Dianhui Wang
BDL
51
54
0
07 Aug 2018
End-to-End Incremental Learning
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
Cordelia Schmid
Alahari Karteek
CLL
173
1,163
0
25 Jul 2018
Expressive power of outer product manifolds on feed-forward neural networks
Balint Daroczy
Rita Aleksziev
András A. Benczúr
39
0
0
17 Jul 2018
NEUZZ: Efficient Fuzzing with Neural Program Smoothing
Dongdong She
Kexin Pei
Dave Epstein
Junfeng Yang
Baishakhi Ray
Suman Jana
96
186
0
15 Jul 2018
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial Networks
Hoang Thanh-Tung
T. Tran
GAN
148
59
0
11 Jul 2018
Revisiting Distillation and Incremental Classifier Learning
Khurram Javed
Faisal Shafait
68
66
0
08 Jul 2018
Distillation Techniques for Pseudo-rehearsal Based Incremental Learning
Haseeb Shah
Khurram Javed
Faisal Shafait
CLL
62
12
0
08 Jul 2018
How To Backdoor Federated Learning
Eugene Bagdasaryan
Andreas Veit
Yiqing Hua
D. Estrin
Vitaly Shmatikov
SILM
FedML
191
1,945
0
02 Jul 2018
Continuous Learning in Single-Incremental-Task Scenarios
Davide Maltoni
Vincenzo Lomonaco
CLL
142
311
0
22 Jun 2018
The Natural Language Decathlon: Multitask Learning as Question Answering
Bryan McCann
N. Keskar
Caiming Xiong
R. Socher
AIMat
MLLM
BDL
211
647
0
20 Jun 2018
Uncertainty in Multitask Transfer Learning
Alexandre Lacoste
Boris N. Oreshkin
Wonchang Chung
Thomas Boquet
Negar Rostamzadeh
David M. Krueger
BDL
UQCV
SSL
105
21
0
20 Jun 2018
DynMat, a network that can learn after learning
J. H. Lee
OffRL
122
6
0
16 Jun 2018
Motion Planning Networks
A. H. Qureshi
Anthony Simeonov
M. J. Bency
Michael C. Yip
3DPC
84
239
0
14 Jun 2018
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
93
114
0
14 Jun 2018
Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis
Thomas George
César Laurent
Xavier Bouthillier
Nicolas Ballas
Pascal Vincent
ODL
125
156
0
11 Jun 2018
Meta Continual Learning
Risto Vuorio
D.-Y. Cho
Daejoong Kim
Jiwon Kim
CLL
70
28
0
11 Jun 2018
SupportNet: solving catastrophic forgetting in class incremental learning with support data
Yu Li
Zhongxiao Li
Lizhong Ding
Yijie Pan
Peng Yang
Yuhui Hu
Wei Chen
Xin Gao
CLL
102
29
0
08 Jun 2018
A New Framework for Machine Intelligence: Concepts and Prototype
Abel Torres Montoya
56
0
0
06 Jun 2018
Human-like generalization in a machine through predicate learning
L. Doumas
Guillermo Puebla
Andrea E. Martin
NAI
66
9
0
05 Jun 2018
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
Ryo Karakida
S. Akaho
S. Amari
FedML
238
146
0
04 Jun 2018
NAM: Non-Adversarial Unsupervised Domain Mapping
Yedid Hoshen
Lior Wolf
GAN
70
24
0
03 Jun 2018
Reinforced Continual Learning
Ju Xu
Zhanxing Zhu
CLL
127
380
0
31 May 2018
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Exploration in Reinforcement Learning
Tim Pearce
Nicolas Anastassacos
Mohamed H. Zaki
A. Neely
BDL
UQCV
83
17
0
29 May 2018
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks
Massimiliano Mancini
Elisa Ricci
Barbara Caputo
Samuel Rota Buló
103
52
0
28 May 2018
Distributed Weight Consolidation: A Brain Segmentation Case Study
Patrick McClure
C. Zheng
Jakub R. Kaczmarzyk
John Rogers-Lee
Satrajit S. Ghosh
D. Nielson
P. Bandettini
Francisco Pereira
103
28
0
28 May 2018
Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks
Hyo-Eun Kim
Seungwook Kim
Jaehwan Lee
CLL
55
31
0
28 May 2018
Self-Net: Lifelong Learning via Continual Self-Modeling
Blake Camp
J. Mandivarapu
Rolando Estrada
CLL
SSL
75
16
0
25 May 2018
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
115
308
0
24 May 2018
Been There, Done That: Meta-Learning with Episodic Recall
Samuel Ritter
Jane X. Wang
Z. Kurth-Nelson
Siddhant M. Jayakumar
Charles Blundell
Razvan Pascanu
M. Botvinick
CLL
85
84
0
24 May 2018
Teaching Multiple Concepts to a Forgetful Learner
Anette Hunziker
Yuxin Chen
Oisin Mac Aodha
Manuel Gomez Rodriguez
Andreas Krause
Pietro Perona
Yisong Yue
Adish Singla
CLL
144
39
0
21 May 2018
Measuring and regularizing networks in function space
Ari S. Benjamin
David Rolnick
Konrad Paul Kording
102
140
0
21 May 2018
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting
H. Ritter
Aleksandar Botev
David Barber
BDL
CLL
111
335
0
20 May 2018
Model Aggregation via Good-Enough Model Spaces
Neel Guha
Virginia Smith
FedML
20
0
0
20 May 2018
Overcoming catastrophic forgetting problem by weight consolidation and long-term memory
Shixian Wen
Laurent Itti
CLL
58
16
0
18 May 2018
Progress & Compress: A scalable framework for continual learning
Jonathan Richard Schwarz
Jelena Luketina
Wojciech M. Czarnecki
A. Grabska-Barwinska
Yee Whye Teh
Razvan Pascanu
R. Hadsell
CLL
201
889
0
16 May 2018
Continuous Learning in a Hierarchical Multiscale Neural Network
Thomas Wolf
Julien Chaumond
Clement Delangue
CLL
AI4CE
NoLa
BDL
31
6
0
15 May 2018
Power Law in Sparsified Deep Neural Networks
Lu Hou
James T. Kwok
52
3
0
04 May 2018
Measuring the Intrinsic Dimension of Objective Landscapes
Chunyuan Li
Heerad Farkhoor
Rosanne Liu
J. Yosinski
95
418
0
24 Apr 2018
Direct Network Transfer: Transfer Learning of Sentence Embeddings for Semantic Similarity
Li Zhang
Steven R. Wilson
Rada Mihalcea
FedML
49
1
0
20 Apr 2018
Combating catastrophic forgetting with developmental compression
Shawn L. E. Beaulieu
Sam Kriegman
Josh Bongard
81
4
0
12 Apr 2018
Learning to generate classifiers
N. Guttenberg
Ryota Kanai
18
3
0
30 Mar 2018
Previous
1
2
3
...
73
74
75
76
Next