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Neurogenesis Deep Learning

Neurogenesis Deep Learning

12 December 2016
T. Draelos
N. Miner
Christopher C. Lamb
Jonathan A. Cox
C. Vineyard
Kristofor D. Carlson
William M. Severa
C. James
J. Aimone
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Papers citing "Neurogenesis Deep Learning"

14 / 14 papers shown
Title
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep
  Generative Models
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models
Alvin Heng
Harold Soh
VLM
KELM
DiffM
40
107
0
17 May 2023
Cold Start Streaming Learning for Deep Networks
Cold Start Streaming Learning for Deep Networks
Cameron R. Wolfe
Anastasios Kyrillidis
CLL
20
2
0
09 Nov 2022
Augmentative Topology Agents For Open-Ended Learning
Augmentative Topology Agents For Open-Ended Learning
Muhammad Umair Nasir
Michael Beukman
Steven D. James
C. Cleghorn
34
3
0
20 Oct 2022
Review Learning: Alleviating Catastrophic Forgetting with Generative
  Replay without Generator
Review Learning: Alleviating Catastrophic Forgetting with Generative Replay without Generator
Jaesung Yoo
Sung-Hyuk Choi
Yewon Yang
Suhyeon Kim
J. Choi
...
H. J. Joo
Dae-Jung Kim
R. Park
Hyeong-Jin Yoon
Kwangsoo Kim
KELM
OffRL
40
0
0
17 Oct 2022
Continuous learning of spiking networks trained with local rules
Continuous learning of spiking networks trained with local rules
D. Antonov
K. Sviatov
S. Sukhov
21
12
0
18 Nov 2021
Incremental Deep Neural Network Learning using Classification Confidence
  Thresholding
Incremental Deep Neural Network Learning using Classification Confidence Thresholding
Justin Leo
Jugal Kalita
CLL
21
15
0
21 Jun 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
38
130
0
01 Apr 2021
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
27
101
0
08 Sep 2020
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
30
146
0
03 Sep 2020
Domain Expansion in DNN-based Acoustic Models for Robust Speech
  Recognition
Domain Expansion in DNN-based Acoustic Models for Robust Speech Recognition
Shahram Ghorbani
S. Khorram
John H. L. Hansen
29
18
0
01 Oct 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
14
8
0
02 May 2019
NEUZZ: Efficient Fuzzing with Neural Program Smoothing
NEUZZ: Efficient Fuzzing with Neural Program Smoothing
Dongdong She
Kexin Pei
Dave Epstein
Junfeng Yang
Baishakhi Ray
Suman Jana
23
185
0
15 Jul 2018
FearNet: Brain-Inspired Model for Incremental Learning
FearNet: Brain-Inspired Model for Incremental Learning
Ronald Kemker
Christopher Kanan
CLL
38
474
0
28 Nov 2017
Data-Free Knowledge Distillation for Deep Neural Networks
Data-Free Knowledge Distillation for Deep Neural Networks
Raphael Gontijo-Lopes
Stefano Fenu
Thad Starner
19
270
0
19 Oct 2017
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