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Continual Learning Beyond a Single Model
20 February 2022
T. Doan
Seyed Iman Mirzadeh
Mehrdad Farajtabar
CLL
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Papers citing
"Continual Learning Beyond a Single Model"
25 / 25 papers shown
Title
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
481
5
0
10 Mar 2025
Theory on Mixture-of-Experts in Continual Learning
Hongbo Li
Sen-Fon Lin
Lingjie Duan
Yingbin Liang
Ness B. Shroff
MoE
MoMe
CLL
271
17
0
20 Feb 2025
Generate to Discriminate: Expert Routing for Continual Learning
Yewon Byun
Sanket Vaibhav Mehta
Saurabh Garg
Emma Strubell
Michael Oberst
Bryan Wilder
Zachary Chase Lipton
149
0
0
31 Dec 2024
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Andrew Szot
Alexander Clegg
Eric Undersander
Erik Wijmans
Yili Zhao
...
Z. Kira
V. Koltun
Jitendra Malik
Manolis Savva
Dhruv Batra
LM&Ro
111
527
0
28 Jun 2021
Continual Learning in Deep Networks: an Analysis of the Last Layer
Timothée Lesort
Thomas George
Irina Rish
KELM
83
22
0
03 Jun 2021
Gradient Projection Memory for Continual Learning
Gobinda Saha
Isha Garg
Kaushik Roy
VLM
CLL
84
292
0
17 Mar 2021
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
Gregory W. Benton
Wesley J. Maddox
Sanae Lotfi
A. Wilson
UQCV
116
70
0
25 Feb 2021
Learning Neural Network Subspaces
Mitchell Wortsman
Maxwell Horton
Carlos Guestrin
Ali Farhadi
Mohammad Rastegari
UQCV
79
88
0
20 Feb 2021
Training independent subnetworks for robust prediction
Marton Havasi
Rodolphe Jenatton
Stanislav Fort
Jeremiah Zhe Liu
Jasper Snoek
Balaji Lakshminarayanan
Andrew M. Dai
Dustin Tran
UQCV
OOD
104
213
0
13 Oct 2020
Linear Mode Connectivity in Multitask and Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Dilan Görür
Razvan Pascanu
H. Ghasemzadeh
CLL
86
147
0
09 Oct 2020
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
T. Doan
Mehdi Abbana Bennani
Bogdan Mazoure
Guillaume Rabusseau
Pierre Alquier
CLL
70
86
0
07 Oct 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
67
22
0
01 Jul 2020
Supermasks in Superposition
Mitchell Wortsman
Vivek Ramanujan
Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
J. Yosinski
Ali Farhadi
SSL
CLL
98
297
0
26 Jun 2020
Understanding the Role of Training Regimes in Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Razvan Pascanu
H. Ghasemzadeh
CLL
81
228
0
12 Jun 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning
Yeming Wen
Dustin Tran
Jimmy Ba
OOD
FedML
UQCV
186
493
0
17 Feb 2020
Deep Ensembles: A Loss Landscape Perspective
Stanislav Fort
Huiyi Hu
Balaji Lakshminarayanan
OOD
UQCV
125
629
0
05 Dec 2019
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
212
1,463
0
02 Dec 2018
Essentially No Barriers in Neural Network Energy Landscape
Felix Dräxler
K. Veschgini
M. Salmhofer
Fred Hamprecht
MoMe
122
435
0
02 Mar 2018
Snapshot Ensembles: Train 1, get M for free
Gao Huang
Yixuan Li
Geoff Pleiss
Zhuang Liu
John E. Hopcroft
Kilian Q. Weinberger
OOD
FedML
UQCV
147
953
0
01 Apr 2017
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
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
847
5,847
0
05 Dec 2016
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
Rahaf Aljundi
Punarjay Chakravarty
Tinne Tuytelaars
CLL
95
663
0
18 Nov 2016
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
282
19,129
0
20 Dec 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian Goodfellow
M. Berk Mirza
Xia Da
Aaron Courville
Yoshua Bengio
159
1,455
0
21 Dec 2013
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