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Momentum-based Weight Interpolation of Strong Zero-Shot Models for
  Continual Learning

Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning

6 November 2022
Zafir Stojanovski
Karsten Roth
Zeynep Akata
ArXivPDFHTML

Papers citing "Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning"

24 / 24 papers shown
Title
BECAME: BayEsian Continual Learning with Adaptive Model MErging
BECAME: BayEsian Continual Learning with Adaptive Model MErging
Mei Li
Yuxiang Lu
Qinyan Dai
Suizhi Huang
Yue Ding
Hongtao Lu
CLL
MoMe
103
0
0
03 Apr 2025
Continual Learning with Foundation Models: An Empirical Study of Latent
  Replay
Continual Learning with Foundation Models: An Empirical Study of Latent Replay
O. Ostapenko
Timothée Lesort
P. Rodríguez
Md Rifat Arefin
Arthur Douillard
Irina Rish
Laurent Charlin
65
53
0
30 Apr 2022
An Empirical Investigation of the Role of Pre-training in Lifelong
  Learning
An Empirical Investigation of the Role of Pre-training in Lifelong Learning
Sanket Vaibhav Mehta
Darshan Patil
Sarath Chandar
Emma Strubell
CLL
87
144
0
16 Dec 2021
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
CLL
VPVLM
KELM
VLM
84
769
0
16 Dec 2021
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
119
152
0
30 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang Pham
Chenghao Liu
Guosheng Lin
CLL
116
45
0
01 Oct 2021
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
...
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
117
721
0
04 Sep 2021
Co$^2$L: Contrastive Continual Learning
Co2^22L: Contrastive Continual Learning
Hyuntak Cha
Jaeho Lee
Jinwoo Shin
CLL
SSL
VLM
102
301
0
28 Jun 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
74
331
0
31 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
818
29,167
0
26 Feb 2021
Sharpness-Aware Minimization for Efficiently Improving Generalization
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret
Ariel Kleiner
H. Mobahi
Behnam Neyshabur
AAML
184
1,344
0
03 Oct 2020
Understanding the Role of Training Regimes in Continual Learning
Understanding the Role of Training Regimes in Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Razvan Pascanu
H. Ghasemzadeh
CLL
67
225
0
12 Jun 2020
Dropout as an Implicit Gating Mechanism For Continual Learning
Dropout as an Implicit Gating Mechanism For Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
H. Ghasemzadeh
CLL
61
43
0
24 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple
  Baseline
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Davide Abati
Simone Calderara
BDL
CLL
72
909
0
15 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
384
42,299
0
03 Dec 2019
Lookahead Optimizer: k steps forward, 1 step back
Lookahead Optimizer: k steps forward, 1 step back
Michael Ruogu Zhang
James Lucas
Geoffrey E. Hinton
Jimmy Ba
ODL
118
728
0
19 Jul 2019
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
188
1,449
0
02 Dec 2018
Progress & Compress: A scalable framework for continual learning
Progress & Compress: A scalable framework for continual learning
Jonathan Richard Schwarz
Jelena Luketina
Wojciech M. Czarnecki
A. Grabska-Barwinska
Yee Whye Teh
Razvan Pascanu
R. Hadsell
CLL
108
886
0
16 May 2018
Averaging Weights Leads to Wider Optima and Better Generalization
Averaging Weights Leads to Wider Optima and Better Generalization
Pavel Izmailov
Dmitrii Podoprikhin
T. Garipov
Dmitry Vetrov
A. Wilson
FedML
MoMe
112
1,658
0
14 Mar 2018
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLM
CLL
105
2,705
0
26 Jun 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee
Jin-Hwa Kim
Jaehyun Jun
Jung-Woo Ha
Byoung-Tak Zhang
CLL
68
674
0
24 Mar 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
325
7,478
0
02 Dec 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
282
4,391
0
29 Jun 2016
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
146
574
0
08 Dec 2012
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