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BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning

BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning

8 May 2023
Kishaan Jeeveswaran
Prashant Shivaram Bhat
Bahram Zonooz
Elahe Arani
    CLL
ArXiv (abs)PDFHTML

Papers citing "BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning"

30 / 30 papers shown
Title
Consistency is the key to further mitigating catastrophic forgetting in
  continual learning
Consistency is the key to further mitigating catastrophic forgetting in continual learning
Prashant Shivaram Bhat
Bahram Zonooz
Elahe Arani
CLL
56
17
0
11 Jul 2022
Continual Learning with Transformers for Image Classification
Continual Learning with Transformers for Image Classification
Beyza Ermis
Giovanni Zappella
Martin Wistuba
Aditya Rawal
Cédric Archambeau
CLL
74
21
0
28 Jun 2022
SYNERgy between SYNaptic consolidation and Experience Replay for general
  continual learning
SYNERgy between SYNaptic consolidation and Experience Replay for general continual learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
CLL
59
13
0
08 Jun 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual
  Learning
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Zifeng Wang
Zizhao Zhang
Sayna Ebrahimi
Ruoxi Sun
Han Zhang
...
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLLVLMVPVLM
117
501
0
10 Apr 2022
Towards Exemplar-Free Continual Learning in Vision Transformers: an
  Account of Attention, Functional and Weight Regularization
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization
Francesco Pelosin
Saurav Jha
A. Torsello
Bogdan Raducanu
Joost van de Weijer
CLL
52
31
0
24 Mar 2022
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class
  Incremental Learning
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning
Qiankun Gao
Chen Zhao
Guohao Li
Jian Zhang
CLL
61
70
0
24 Mar 2022
Robust Training under Label Noise by Over-parameterization
Robust Training under Label Noise by Over-parameterization
Sheng Liu
Zhihui Zhu
Qing Qu
Chong You
NoLaOOD
68
109
0
28 Feb 2022
A Comprehensive Study of Vision Transformers on Dense Prediction Tasks
A Comprehensive Study of Vision Transformers on Dense Prediction Tasks
Kishaan Jeeveswaran
Senthilkumar S. Kathiresan
Arnav Varma
Omar Magdy
Bahram Zonooz
Elahe Arani
ViT
39
10
0
21 Jan 2022
Learning to Prompt for Continual Learning
Learning to Prompt for Continual Learning
Zifeng Wang
Zizhao Zhang
Chen-Yu Lee
Han Zhang
Ruoxi Sun
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLLVPVLMKELMVLM
103
794
0
16 Dec 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental
  Learning
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
James Smith
Yen-Chang Hsu
John C. Balloch
Yilin Shen
Hongxia Jin
Z. Kira
CLL
106
168
0
17 Jun 2021
ConViT: Improving Vision Transformers with Soft Convolutional Inductive
  Biases
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Stéphane dÁscoli
Hugo Touvron
Matthew L. Leavitt
Ari S. Morcos
Giulio Biroli
Levent Sagun
ViT
136
834
0
19 Mar 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
VLMCLL
98
418
0
25 Jan 2021
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
79
695
0
28 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic
  Forgetting
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
Sayna Ebrahimi
Suzanne Petryk
Akash Gokul
William Gan
Joseph E. Gonzalez
Marcus Rohrbach
Trevor Darrell
CLL
68
47
0
04 Oct 2020
Torchattacks: A PyTorch Repository for Adversarial Attacks
Torchattacks: A PyTorch Repository for Adversarial Attacks
Hoki Kim
71
207
0
24 Sep 2020
Memory-Efficient Incremental Learning Through Feature Adaptation
Memory-Efficient Incremental Learning Through Feature Adaptation
Ahmet Iscen
Jeffrey O. Zhang
Svetlana Lazebnik
Cordelia Schmid
CLLVLM
45
164
0
01 Apr 2020
Continuous Domain Adaptation with Variational Domain-Agnostic Feature
  Replay
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay
Qicheng Lao
Xiang Jiang
Mohammad Havaei
Yoshua Bengio
VLM
58
33
0
09 Mar 2020
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Hongxu Yin
Pavlo Molchanov
Zhizhong Li
J. Álvarez
Arun Mallya
Derek Hoiem
N. Jha
Jan Kautz
81
569
0
18 Dec 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
120
300
0
06 Oct 2019
Three scenarios for continual learning
Three scenarios for continual learning
Gido M. van de Ven
A. Tolias
CLL
99
895
0
15 Apr 2019
Scalable and Order-robust Continual Learning with Additive Parameter
  Decomposition
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition
Jaehong Yoon
Saehoon Kim
Eunho Yang
Sung Ju Hwang
CLL
73
177
0
25 Feb 2019
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
93
308
0
24 May 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and
  Intransigence
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry
P. Dokania
Thalaiyasingam Ajanthan
Philip Torr
CLL
105
1,145
0
30 Jan 2018
FearNet: Brain-Inspired Model for Incremental Learning
FearNet: Brain-Inspired Model for Incremental Learning
Ronald Kemker
Christopher Kanan
CLL
120
480
0
28 Nov 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLMCLL
131
2,738
0
26 Jun 2017
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Chrisantha Fernando
Dylan Banarse
Charles Blundell
Yori Zwols
David R Ha
Andrei A. Rusu
Alexander Pritzel
Daan Wierstra
75
881
0
30 Jan 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
374
7,572
0
02 Dec 2016
Expert Gate: Lifelong Learning with a Network of Experts
Expert Gate: Lifelong Learning with a Network of Experts
Rahaf Aljundi
Punarjay Chakravarty
Tinne Tuytelaars
CLL
93
662
0
18 Nov 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLLOODSSL
308
4,432
0
29 Jun 2016
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLLAI4CE
81
2,464
0
15 Jun 2016
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