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Forget-free Continual Learning with Soft-Winning SubNetworks

Forget-free Continual Learning with Soft-Winning SubNetworks

27 March 2023
Haeyong Kang
Jaehong Yoon
Sultan Rizky Hikmawan Madjid
Sung Ju Hwang
Chang D. Yoo
    CLL
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Papers citing "Forget-free Continual Learning with Soft-Winning SubNetworks"

50 / 58 papers shown
Title
On the Soft-Subnetwork for Few-shot Class Incremental Learning
On the Soft-Subnetwork for Few-shot Class Incremental Learning
Haeyong Kang
Jaehong Yoon
Sultan Rizky Hikmawan Madjid
Sung Ju Hwang
Chang D. Yoo
CLL
81
42
0
15 Sep 2022
Few-Shot Class-Incremental Learning from an Open-Set Perspective
Few-Shot Class-Incremental Learning from an Open-Set Perspective
Can Peng
Kun-li Zhao
Tianren Wang
Meng Li
Brian C. Lovell
CLL
41
89
0
30 Jul 2022
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free
  Replay
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay
Huan Liu
Li Gu
Zhixiang Chi
Yang Wang
Yuanhao Yu
Jun Chen
Jingshan Tang
67
84
0
22 Jul 2022
Meta-ticket: Finding optimal subnetworks for few-shot learning within
  randomly initialized neural networks
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks
Daiki Chijiwa
Shin'ya Yamaguchi
Atsutoshi Kumagai
Yasutoshi Ida
68
9
0
31 May 2022
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Da-Wei Zhou
Han-Jia Ye
Liang Ma
Di Xie
Shiliang Pu
De-Chuan Zhan
CLL
85
125
0
31 Mar 2022
Constrained Few-shot Class-incremental Learning
Constrained Few-shot Class-incremental Learning
Michael Hersche
G. Karunaratne
G. Cherubini
Luca Benini
Abu Sebastian
Abbas Rahimi
CLL
94
142
0
30 Mar 2022
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by
  Finding Flat Minima
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
Guangyuan Shi
Jiaxin Chen
Wenlong Zhang
Li-Ming Zhan
Xiao-Ming Wu
CLL
130
153
0
30 Oct 2021
Subspace Regularizers for Few-Shot Class Incremental Learning
Subspace Regularizers for Few-Shot Class Incremental Learning
Afra Feyza Akyürek
Ekin Akyürek
Derry Wijaya
Jacob Andreas
CLL
61
61
0
13 Oct 2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits
  Continual Learning
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
Danruo Deng
Guangyong Chen
Jianye Hao
Qiong Wang
Pheng-Ann Heng
CLL
AAML
46
79
0
09 Oct 2021
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental
  Learning
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
Kai Zhu
Yang Cao
Wei Zhai
Jie Cheng
Zhengjun Zha
CLL
109
145
0
19 Jul 2021
Online Coreset Selection for Rehearsal-based Continual Learning
Online Coreset Selection for Rehearsal-based Continual Learning
Jaehong Yoon
Divyam Madaan
Eunho Yang
Sung Ju Hwang
CLL
67
141
0
02 Jun 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers
Few-Shot Incremental Learning with Continually Evolved Classifiers
Chi Zhang
Nan Song
Guosheng Lin
Yun Zheng
Pan Pan
Yinghui Xu
CLL
86
294
0
07 Apr 2021
Gradient Projection Memory for Continual Learning
Gradient Projection Memory for Continual Learning
Gobinda Saha
Isha Garg
Kaushik Roy
VLM
CLL
67
282
0
17 Mar 2021
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental
  Learning
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
A. Cheraghian
Shafin Rahman
Pengfei Fang
S. Roy
L. Petersson
Mehrtash Harandi
CLL
128
184
0
06 Mar 2021
Few-Shot Lifelong Learning
Few-Shot Lifelong Learning
Pratik Mazumder
Pravendra Singh
Piyush Rai
CLL
57
120
0
01 Mar 2021
Continual Learning in Low-rank Orthogonal Subspaces
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry
Naeemullah Khan
P. Dokania
Philip Torr
CLL
51
121
0
22 Oct 2020
Linear Mode Connectivity in Multitask and Continual Learning
Linear Mode Connectivity in Multitask and Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Dilan Görür
Razvan Pascanu
H. Ghasemzadeh
CLL
61
141
0
09 Oct 2020
La-MAML: Look-ahead Meta Learning for Continual Learning
La-MAML: Look-ahead Meta Learning for Continual Learning
Gunshi Gupta
Karmesh Yadav
Liam Paull
CLL
VLM
66
69
0
27 Jul 2020
Supermasks in Superposition
Supermasks in Superposition
Mitchell Wortsman
Vivek Ramanujan
Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
J. Yosinski
Ali Farhadi
SSL
CLL
64
293
0
26 Jun 2020
Few-Shot Class-Incremental Learning
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
88
410
0
23 Apr 2020
Continual Learning with Node-Importance based Adaptive Group Sparse
  Regularization
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
Sangwon Jung
Hongjoon Ahn
Sungmin Cha
Taesup Moon
CLL
48
125
0
30 Mar 2020
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
Mao Ye
Chengyue Gong
Lizhen Nie
Denny Zhou
Adam R. Klivans
Qiang Liu
64
110
0
03 Mar 2020
PyHessian: Neural Networks Through the Lens of the Hessian
PyHessian: Neural Networks Through the Lens of the Hessian
Z. Yao
A. Gholami
Kurt Keutzer
Michael W. Mahoney
ODL
51
302
0
16 Dec 2019
Fantastic Generalization Measures and Where to Find Them
Fantastic Generalization Measures and Where to Find Them
Yiding Jiang
Behnam Neyshabur
H. Mobahi
Dilip Krishnan
Samy Bengio
AI4CE
129
606
0
04 Dec 2019
What's Hidden in a Randomly Weighted Neural Network?
What's Hidden in a Randomly Weighted Neural Network?
Vivek Ramanujan
Mitchell Wortsman
Aniruddha Kembhavi
Ali Farhadi
Mohammad Rastegari
66
356
0
29 Nov 2019
Decoupling Representation and Classifier for Long-Tailed Recognition
Decoupling Representation and Classifier for Long-Tailed Recognition
Bingyi Kang
Saining Xie
Marcus Rohrbach
Zhicheng Yan
Albert Gordo
Jiashi Feng
Yannis Kalantidis
OODD
172
1,217
0
21 Oct 2019
Online Continual Learning with Maximally Interfered Retrieval
Online Continual Learning with Maximally Interfered Retrieval
Rahaf Aljundi
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Min Lin
Laurent Charlin
Tinne Tuytelaars
CLL
67
541
0
11 Aug 2019
Task Agnostic Continual Learning via Meta Learning
Task Agnostic Continual Learning via Meta Learning
Xu He
Jakub Sygnowski
Alexandre Galashov
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
OOD
CLL
FedML
49
94
0
12 Jun 2019
Discovering Neural Wirings
Discovering Neural Wirings
Mitchell Wortsman
Ali Farhadi
Mohammad Rastegari
AI4CE
96
121
0
03 Jun 2019
Large Scale Incremental Learning
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
91
1,256
0
30 May 2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Hattie Zhou
Janice Lan
Rosanne Liu
J. Yosinski
UQCV
52
386
0
03 May 2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming
  Catastrophic Forgetting
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Xilai Li
Yingbo Zhou
Tianfu Wu
R. Socher
Caiming Xiong
CLL
70
429
0
31 Mar 2019
Continual Learning via Neural Pruning
Continual Learning via Neural Pruning
Siavash Golkar
Michael Kagan
Kyunghyun Cho
CLL
48
161
0
11 Mar 2019
On Tiny Episodic Memories in Continual Learning
On Tiny Episodic Memories in Continual Learning
Arslan Chaudhry
Marcus Rohrbach
Mohamed Elhoseiny
Thalaiyasingam Ajanthan
P. Dokania
Philip Torr
MarcÁurelio Ranzato
CLL
88
399
0
27 Feb 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
70
177
0
25 Feb 2019
Functional Regularisation for Continual Learning with Gaussian Processes
Functional Regularisation for Continual Learning with Gaussian Processes
Michalis K. Titsias
Jonathan Richard Schwarz
A. G. Matthews
Razvan Pascanu
Yee Whye Teh
CLL
BDL
61
186
0
31 Jan 2019
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
195
1,453
0
02 Dec 2018
Learning to Learn without Forgetting by Maximizing Transfer and
  Minimizing Interference
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew D Riemer
Ignacio Cases
R. Ajemian
Miao Liu
Irina Rish
Y. Tu
Gerald Tesauro
CLL
74
783
0
29 Oct 2018
Reinforced Continual Learning
Reinforced Continual Learning
Ju Xu
Zhanxing Zhu
CLL
97
377
0
31 May 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
225
3,461
0
09 Mar 2018
Alleviating catastrophic forgetting using context-dependent gating and
  synaptic stabilization
Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization
Nicolas Y. Masse
Gregory D. Grant
David J. Freedman
73
281
0
02 Feb 2018
Overcoming catastrophic forgetting with hard attention to the task
Overcoming catastrophic forgetting with hard attention to the task
Joan Serrà
Dídac Surís
M. Miron
Alexandros Karatzoglou
CLL
101
1,075
0
04 Jan 2018
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
Arun Mallya
Svetlana Lazebnik
CLL
105
1,298
0
15 Nov 2017
Hierarchical Representations for Efficient Architecture Search
Hierarchical Representations for Efficient Architecture Search
Hanxiao Liu
Karen Simonyan
Oriol Vinyals
Chrisantha Fernando
Koray Kavukcuoglu
3DV
83
926
0
01 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
273
8,876
0
25 Aug 2017
Lifelong Learning with Dynamically Expandable Networks
Lifelong Learning with Dynamically Expandable Networks
Jaehong Yoon
Eunho Yang
Jeongtae Lee
Sung Ju Hwang
CLL
119
1,222
0
04 Aug 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLM
CLL
117
2,711
0
26 Jun 2017
Continual Learning with Deep Generative Replay
Continual Learning with Deep Generative Replay
Hanul Shin
Jung Kwon Lee
Jaehong Kim
Jiwon Kim
KELM
CLL
78
2,069
0
24 May 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
350
7,498
0
02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLL
OOD
135
3,754
0
23 Nov 2016
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