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FearNet: Brain-Inspired Model for Incremental Learning

FearNet: Brain-Inspired Model for Incremental Learning

28 November 2017
Ronald Kemker
Christopher Kanan
    CLL
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Papers citing "FearNet: Brain-Inspired Model for Incremental Learning"

45 / 245 papers shown
Title
Continual Learning with Adaptive Weights (CLAW)
Continual Learning with Adaptive Weights (CLAW)
T. Adel
Han Zhao
Richard E. Turner
CLL
19
73
0
21 Nov 2019
Are Out-of-Distribution Detection Methods Effective on Large-Scale
  Datasets?
Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?
Ryne Roady
Tyler L. Hayes
Ronald Kemker
Ayesha Gonzales
Christopher Kanan
OODD
25
20
0
30 Oct 2019
Compacting, Picking and Growing for Unforgetting Continual Learning
Compacting, Picking and Growing for Unforgetting Continual Learning
Steven C. Y. Hung
Cheng-Hao Tu
Cheng-En Wu
Chien-Hung Chen
Yi-Ming Chan
Chu-Song Chen
CLL
30
299
0
15 Oct 2019
Learning to Remember from a Multi-Task Teacher
Learning to Remember from a Multi-Task Teacher
Yuwen Xiong
Mengye Ren
R. Urtasun
CLL
KELM
OOD
22
4
0
10 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
CLL
29
294
0
06 Oct 2019
LAMOL: LAnguage MOdeling for Lifelong Language Learning
LAMOL: LAnguage MOdeling for Lifelong Language Learning
Fan-Keng Sun
Cheng-Hao Ho
Hung-yi Lee
CLL
KELM
12
203
0
07 Sep 2019
Lifelong Machine Learning with Deep Streaming Linear Discriminant
  Analysis
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
Tyler L. Hayes
Christopher Kanan
CLL
19
141
0
04 Sep 2019
Continual Learning by Asymmetric Loss Approximation with Single-Side
  Overestimation
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation
Dongmin Park
Seokil Hong
Bohyung Han
Kyoung Mu Lee
AAML
CLL
16
39
0
08 Aug 2019
Biologically inspired sleep algorithm for artificial neural networks
Biologically inspired sleep algorithm for artificial neural networks
G. Krishnan
Timothy Tadros
Ramyaa Ramyaa
M. Bazhenov
9
18
0
01 Aug 2019
Autoencoder-Based Incremental Class Learning without Retraining on Old
  Data
Autoencoder-Based Incremental Class Learning without Retraining on Old Data
Euntae Choi
Kyungmi Lee
Kiyoung Choi
CLL
16
13
0
18 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning
  Strategies, Opportunities and Challenges
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
12
248
0
29 Jun 2019
Continual Rare-Class Recognition with Emerging Novel Subclasses
Continual Rare-Class Recognition with Emerging Novel Subclasses
Hung T. Nguyen
Xuejian Wang
L. Akoglu
14
3
0
28 Jun 2019
Beneficial perturbation network for continual learning
Beneficial perturbation network for continual learning
Shixian Wen
Laurent Itti
CLL
KELM
17
2
0
22 Jun 2019
An Adaptive Random Path Selection Approach for Incremental Learning
An Adaptive Random Path Selection Approach for Incremental Learning
Jathushan Rajasegaran
Munawar Hayat
Salman Khan
F. Khan
Ling Shao
Ming-Hsuan Yang
ODL
CLL
12
24
0
03 Jun 2019
Unified Probabilistic Deep Continual Learning through Generative Replay
  and Open Set Recognition
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
Martin Mundt
Iuliia Pliushch
Sagnik Majumder
Yongwon Hong
Visvanathan Ramesh
UQCV
BDL
19
40
0
28 May 2019
Uncertainty-based Continual Learning with Adaptive Regularization
Uncertainty-based Continual Learning with Adaptive Regularization
Hongjoon Ahn
Sungmin Cha
Donggyu Lee
Taesup Moon
BDL
17
209
0
28 May 2019
Sequential mastery of multiple visual tasks: Networks naturally learn to
  learn and forget to forget
Sequential mastery of multiple visual tasks: Networks naturally learn to learn and forget to forget
Guy Davidson
Michael C. Mozer
CLL
18
23
0
26 May 2019
Variational Prototype Replays for Continual Learning
Variational Prototype Replays for Continual Learning
Mengmi Zhang
Tao Wang
J. Lim
Gabriel Kreiman
Jiashi Feng
VLM
CLL
11
15
0
23 May 2019
A comprehensive, application-oriented study of catastrophic forgetting
  in DNNs
A comprehensive, application-oriented study of catastrophic forgetting in DNNs
Benedikt Pfülb
A. Gepperth
17
90
0
20 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
13
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
11
6
0
10 May 2019
Three scenarios for continual learning
Three scenarios for continual learning
Gido M. van de Ven
A. Tolias
CLL
6
870
0
15 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
58
297
0
05 Apr 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
11
333
0
19 Mar 2019
Incremental Learning with Maximum Entropy Regularization: Rethinking
  Forgetting and Intransigence
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence
Dahyun Kim
Jihwan Bae
Yeonsik Jo
Jonghyun Choi
OOD
CLL
17
20
0
03 Feb 2019
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without
  Catastrophic Forgetting
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting
C. Atkinson
B. McCane
Lech Szymanski
Anthony Robins
VLM
CLL
11
102
0
06 Dec 2018
On the role of neurogenesis in overcoming catastrophic forgetting
On the role of neurogenesis in overcoming catastrophic forgetting
G. I. Parisi
Jongsoo Keum
Hojung Nam
CLL
OffRL
11
13
0
06 Nov 2018
Closed-Loop Memory GAN for Continual Learning
Closed-Loop Memory GAN for Continual Learning
A. Rios
Laurent Itti
BDL
VLM
12
22
0
03 Nov 2018
Re-evaluating Continual Learning Scenarios: A Categorization and Case
  for Strong Baselines
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
Yen-Chang Hsu
Yen-Cheng Liu
Anita Ramasamy
Z. Kira
CLL
ELM
13
350
0
30 Oct 2018
Marginal Replay vs Conditional Replay for Continual Learning
Marginal Replay vs Conditional Replay for Continual Learning
Timothée Lesort
A. Gepperth
Andrei Stoian
David Filliat
BDL
16
33
0
29 Oct 2018
Incremental Few-Shot Learning with Attention Attractor Networks
Incremental Few-Shot Learning with Attention Attractor Networks
Mengye Ren
Renjie Liao
Ethan Fetaya
R. Zemel
CLL
21
181
0
16 Oct 2018
Reinforcement Evolutionary Learning Method for self-learning
Reinforcement Evolutionary Learning Method for self-learning
Kumarjit Pathak
Jitin Kapila
9
3
0
07 Oct 2018
Generative replay with feedback connections as a general strategy for
  continual learning
Generative replay with feedback connections as a general strategy for continual learning
Gido M. van de Ven
A. Tolias
CLL
KELM
29
223
0
27 Sep 2018
Distribution Networks for Open Set Learning
Distribution Networks for Open Set Learning
Chengsheng Mao
Liang Yao
Yuan Luo
OOD
25
2
0
20 Sep 2018
Memory Efficient Experience Replay for Streaming Learning
Memory Efficient Experience Replay for Streaming Learning
Tyler L. Hayes
N. Cahill
Christopher Kanan
4
226
0
16 Sep 2018
Memory Replay GANs: learning to generate images from new categories
  without forgetting
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
11
192
0
06 Sep 2018
Revisiting Distillation and Incremental Classifier Learning
Revisiting Distillation and Incremental Classifier Learning
Khurram Javed
Faisal Shafait
11
66
0
08 Jul 2018
Distillation Techniques for Pseudo-rehearsal Based Incremental Learning
Distillation Techniques for Pseudo-rehearsal Based Incremental Learning
Haseeb Shah
Khurram Javed
Faisal Shafait
CLL
11
12
0
08 Jul 2018
Continuous Learning in Single-Incremental-Task Scenarios
Continuous Learning in Single-Incremental-Task Scenarios
Davide Maltoni
Vincenzo Lomonaco
CLL
11
307
0
22 Jun 2018
Meta Continual Learning
Meta Continual Learning
Risto Vuorio
D.-Y. Cho
Daejoong Kim
Jiwon Kim
CLL
6
28
0
11 Jun 2018
Lifelong Learning of Spatiotemporal Representations with Dual-Memory
  Recurrent Self-Organization
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization
G. I. Parisi
Jun Tani
C. Weber
S. Wermter
CLL
14
130
0
28 May 2018
Self-Net: Lifelong Learning via Continual Self-Modeling
Self-Net: Lifelong Learning via Continual Self-Modeling
Blake Camp
J. Mandivarapu
Rolando Estrada
CLL
SSL
19
16
0
25 May 2018
Incremental Learning Framework Using Cloud Computing
Incremental Learning Framework Using Cloud Computing
Kumarjit Pathak
G. Prabhukiran
Jitin Kapila
Nikit Gawande
6
2
0
12 May 2018
Continual Lifelong Learning with Neural Networks: A Review
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELM
CLL
15
2,823
0
21 Feb 2018
Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep
  Neural Networks
Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks
C. Atkinson
B. McCane
Lech Szymanski
Anthony Robins
CLL
11
76
0
12 Feb 2018
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