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REMIND Your Neural Network to Prevent Catastrophic Forgetting

REMIND Your Neural Network to Prevent Catastrophic Forgetting

6 October 2019
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
    CLL
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Papers citing "REMIND Your Neural Network to Prevent Catastrophic Forgetting"

26 / 176 papers shown
Title
Class-Incremental Learning with Generative Classifiers
Class-Incremental Learning with Generative Classifiers
Gido M. van de Ven
Zhe Li
A. Tolias
BDL
42
58
0
20 Apr 2021
Continual Learning in Sensor-based Human Activity Recognition: an
  Empirical Benchmark Analysis
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis
Saurav Jha
Martin Schiemer
F. Zambonelli
Juan Ye
10
48
0
19 Apr 2021
Tuned Compositional Feature Replays for Efficient Stream Learning
Tuned Compositional Feature Replays for Efficient Stream Learning
Morgan B. Talbot
Rushikesh Zawar
Rohil Badkundri
Mengmi Zhang
Gabriel Kreiman
CLL
16
2
0
06 Apr 2021
Class-incremental Learning using a Sequence of Partial Implicitly
  Regularized Classifiers
Class-incremental Learning using a Sequence of Partial Implicitly Regularized Classifiers
Sobirdzhon Bobiev
Adil Khan
S. M. Ahsan Kazmi
CLL
6
0
0
04 Apr 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
17
129
0
01 Apr 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
Jonghyun Choi
CLL
17
324
0
31 Mar 2021
Self-Supervised Training Enhances Online Continual Learning
Self-Supervised Training Enhances Online Continual Learning
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
CLL
14
68
0
25 Mar 2021
Balanced softmax cross-entropy for incremental learning with and without
  memory
Balanced softmax cross-entropy for incremental learning with and without memory
Quentin Jodelet
Xin Liu
T. Murata
CLL
8
25
0
23 Mar 2021
ConDA: Continual Unsupervised Domain Adaptation
ConDA: Continual Unsupervised Domain Adaptation
A. M. N. Taufique
C. S. Jahan
Andreas E. Savakis
TTA
CLL
8
9
0
19 Mar 2021
Selective Replay Enhances Learning in Online Continual Analogical
  Reasoning
Selective Replay Enhances Learning in Online Continual Analogical Reasoning
Tyler L. Hayes
Christopher Kanan
CLL
8
20
0
06 Mar 2021
Towards Continual, Online, Self-Supervised Depth
Towards Continual, Online, Self-Supervised Depth
Muhammad Umar Karim Khan
TTA
CLL
15
2
0
28 Feb 2021
Condensed Composite Memory Continual Learning
Condensed Composite Memory Continual Learning
Felix Wiewel
Binh Yang
DD
11
33
0
19 Feb 2021
Continual Learning for Blind Image Quality Assessment
Continual Learning for Blind Image Quality Assessment
Weixia Zhang
Dingquan Li
Chao Ma
Guangtao Zhai
Xiaokang Yang
Kede Ma
VLM
17
84
0
19 Feb 2021
Self-Supervised Features Improve Open-World Learning
Self-Supervised Features Improve Open-World Learning
A. Dhamija
T. Ahmad
Jonathan Schwan
Mohsen Jafarzadeh
Chunchun Li
Terrance E. Boult
SSL
6
13
0
15 Feb 2021
Online Continual Learning in Image Classification: An Empirical Survey
Online Continual Learning in Image Classification: An Empirical Survey
Zheda Mai
Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLM
CLL
12
404
0
25 Jan 2021
Continual Adaptation of Visual Representations via Domain Randomization
  and Meta-learning
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning
Riccardo Volpi
Diane Larlus
Grégory Rogez
VLM
OOD
CLL
15
74
0
08 Dec 2020
Energy-Based Models for Continual Learning
Energy-Based Models for Continual Learning
Shuang Li
Yilun Du
Gido M. van de Ven
Igor Mordatch
6
42
0
24 Nov 2020
PLOP: Learning without Forgetting for Continual Semantic Segmentation
PLOP: Learning without Forgetting for Continual Semantic Segmentation
Arthur Douillard
Yifu Chen
Arnaud Dapogny
Matthieu Cord
CLL
6
232
0
23 Nov 2020
A Comprehensive Study of Class Incremental Learning Algorithms for
  Visual Tasks
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks
Eden Belouadah
Adrian Daniel Popescu
Ioannis Kanellos
CLL
17
212
0
03 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
10
655
0
28 Oct 2020
Meta-Consolidation for Continual Learning
Meta-Consolidation for Continual Learning
K. J. Joseph
V. Balasubramanian
CLL
6
55
0
01 Oct 2020
Continual Prototype Evolution: Learning Online from Non-Stationary Data
  Streams
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams
Matthias De Lange
Tinne Tuytelaars
CLL
6
198
0
02 Sep 2020
RODEO: Replay for Online Object Detection
RODEO: Replay for Online Object Detection
Manoj Acharya
Tyler L. Hayes
Christopher Kanan
ObjD
CLL
21
46
0
14 Aug 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
15
98
0
28 Jun 2020
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
14
20
0
30 Oct 2019
Multimodal Compact Bilinear Pooling for Visual Question Answering and
  Visual Grounding
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui
Dong Huk Park
Daylen Yang
Anna Rohrbach
Trevor Darrell
Marcus Rohrbach
144
1,458
0
06 Jun 2016
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