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Learning to Remember: A Synaptic Plasticity Driven Framework for
  Continual Learning

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

5 April 2019
O. Ostapenko
M. Puscas
T. Klein
P. Jähnichen
Moin Nabi
    CLL
ArXivPDFHTML

Papers citing "Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning"

31 / 181 papers shown
Title
Towards Recognizing New Semantic Concepts in New Visual Domains
Towards Recognizing New Semantic Concepts in New Visual Domains
Massimiliano Mancini
OOD
23
0
0
16 Dec 2020
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
Jiahua Dong
Yang Cong
Gan Sun
Bingtao Ma
Lichen Wang
3DPC
CLL
27
32
0
16 Dec 2020
Class-incremental Learning with Rectified Feature-Graph Preservation
Class-incremental Learning with Rectified Feature-Graph Preservation
Cheng-Hsun Lei
Yi-Hsin
Wen-Hsiao Peng
Wei-Chen Chiu
CLL
17
4
0
15 Dec 2020
Learn-Prune-Share for Lifelong Learning
Learn-Prune-Share for Lifelong Learning
Zifeng Wang
T. Jian
Kaushik R. Chowdhury
Yanzhi Wang
Jennifer Dy
Stratis Ioannidis
KELM
CLL
13
35
0
13 Dec 2020
Knowledge Capture and Replay for Continual Learning
Knowledge Capture and Replay for Continual Learning
Saisubramaniam Gopalakrishnan
Pranshu Ranjan Singh
Haytham M. Fayek
Savitha Ramasamy
Arulmurugan Ambikapathi
CLL
19
18
0
12 Dec 2020
Association: Remind Your GAN not to Forget
Association: Remind Your GAN not to Forget
Yi Gu
Jie Li
Yuting Gao
Ruoxin Chen
Chentao Wu
Feiyang Cai
Chao Wang
Zirui Zhang
CLL
19
0
0
27 Nov 2020
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classification
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
23
658
0
28 Oct 2020
What is Wrong with Continual Learning in Medical Image Segmentation?
What is Wrong with Continual Learning in Medical Image Segmentation?
Camila González
Nick Lemke
G. Sakas
Anirban Mukhopadhyay
CLL
10
31
0
21 Oct 2020
Online Continual Learning under Extreme Memory Constraints
Online Continual Learning under Extreme Memory Constraints
Enrico Fini
Stéphane Lathuilière
E. Sangineto
Moin Nabi
Elisa Ricci
CLL
27
63
0
04 Aug 2020
Tell me what this is: Few-Shot Incremental Object Learning by a Robot
Tell me what this is: Few-Shot Incremental Object Learning by a Robot
Ali Ayub
Alan R. Wagner
26
32
0
15 Jul 2020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot
  Class-Incremental Learning
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
Hanbin Zhao
Yongjian Fu
Mintong Kang
Qi Tian
Fei Wu
Xi Li
CLL
23
98
0
28 Jun 2020
Storing Encoded Episodes as Concepts for Continual Learning
Storing Encoded Episodes as Concepts for Continual Learning
Ali Ayub
Alan R. Wagner
CLL
6
13
0
26 Jun 2020
GAN Memory with No Forgetting
GAN Memory with No Forgetting
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Sijia Wang
Lawrence Carin
CLL
11
116
0
13 Jun 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
19
102
0
12 Jun 2020
Self-Supervised Learning Aided Class-Incremental Lifelong Learning
Self-Supervised Learning Aided Class-Incremental Lifelong Learning
Song Zhang
Gehui Shen
Jinsong Huang
Zhihong Deng
CLL
25
14
0
10 Jun 2020
Generative Feature Replay For Class-Incremental Learning
Generative Feature Replay For Class-Incremental Learning
Xialei Liu
Chenshen Wu
Mikel Menta
Luis Herranz
Bogdan Raducanu
Andrew D. Bagdanov
Shangling Jui
Joost van de Weijer
CLL
15
144
0
20 Apr 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning
Conditional Channel Gated Networks for Task-Aware Continual Learning
Davide Abati
Jakub M. Tomczak
Tijmen Blankevoort
Simone Calderara
Rita Cucchiara
B. Bejnordi
CLL
23
184
0
31 Mar 2020
Online Fast Adaptation and Knowledge Accumulation: a New Approach to
  Continual Learning
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Massimo Caccia
Pau Rodríguez López
O. Ostapenko
Fabrice Normandin
Min-Bin Lin
...
I. Laradji
Irina Rish
Alexande Lacoste
David Vazquez
Laurent Charlin
CLL
KELM
9
66
0
12 Mar 2020
FoCL: Feature-Oriented Continual Learning for Generative Models
FoCL: Feature-Oriented Continual Learning for Generative Models
Qicheng Lao
Mehrzad Mortazavi
Marzieh S. Tahaei
Francis Dutil
T. Fevens
Mohammad Havaei
CLL
12
13
0
09 Mar 2020
Triple Memory Networks: a Brain-Inspired Method for Continual Learning
Triple Memory Networks: a Brain-Inspired Method for Continual Learning
Liyuan Wang
Bo Lei
Qian Li
Hang Su
Jun Zhu
Yi Zhong
AAML
12
42
0
06 Mar 2020
Modeling the Background for Incremental Learning in Semantic
  Segmentation
Modeling the Background for Incremental Learning in Semantic Segmentation
Fabio Cermelli
Massimiliano Mancini
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
CLL
VLM
13
277
0
03 Feb 2020
Adversarial Incremental Learning
Ankur Singh
CLL
11
1
0
30 Jan 2020
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural
  Pruning and Synaptic Consolidation
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation
Jian-wei Peng
Bo Tang
Jiang Hao
Zhuo Li
Yinjie Lei
Tao R. Lin
Haifeng Li
AAML
CLL
17
35
0
19 Dec 2019
A Conceptual Framework for Lifelong Learning
A Conceptual Framework for Lifelong Learning
Charles X. Ling
Tanner A. Bohn
CLL
15
3
0
21 Nov 2019
Continual Learning with Adaptive Weights (CLAW)
Continual Learning with Adaptive Weights (CLAW)
T. Adel
Han Zhao
Richard E. Turner
CLL
11
73
0
21 Nov 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
22
298
0
15 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
293
0
06 Oct 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
11
142
0
04 Sep 2019
Generative Models for Novelty Detection: Applications in abnormal event
  and situational change detection from data series
Generative Models for Novelty Detection: Applications in abnormal event and situational change detection from data series
Mahdyar Ravanbakhsh
14
1
0
09 Apr 2019
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental
  Learning
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning
Peng Zhou
Long Mai
Jianming Zhang
N. Xu
Zuxuan Wu
L. Davis
CLL
VLM
13
54
0
03 Apr 2019
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
224
3,189
0
30 Oct 2016
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