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Feature Forgetting in Continual Representation Learning

Feature Forgetting in Continual Representation Learning

26 May 2022
Xiao Zhang
Dejing Dou
Ji Wu
    CLL
ArXivPDFHTML

Papers citing "Feature Forgetting in Continual Representation Learning"

19 / 19 papers shown
Title
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
Nan Du
Yanping Huang
Andrew M. Dai
Simon Tong
Dmitry Lepikhin
...
Kun Zhang
Quoc V. Le
Yonghui Wu
Zhiwen Chen
Claire Cui
ALM
MoE
189
806
0
13 Dec 2021
URLB: Unsupervised Reinforcement Learning Benchmark
URLB: Unsupervised Reinforcement Learning Benchmark
Michael Laskin
Denis Yarats
Hao Liu
Kimin Lee
Albert Zhan
Kevin Lu
Catherine Cang
Lerrel Pinto
Pieter Abbeel
SSL
OffRL
67
137
0
28 Oct 2021
Avalanche: an End-to-End Library for Continual Learning
Avalanche: an End-to-End Library for Continual Learning
Vincenzo Lomonaco
Lorenzo Pellegrini
Andrea Cossu
Antonio Carta
G. Graffieti
...
Christopher Kanan
Joost van de Weijer
Tinne Tuytelaars
D. Bacciu
Davide Maltoni
BDL
AI4TS
65
182
0
01 Apr 2021
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
59
141
0
09 Oct 2020
Supermasks in Superposition
Supermasks in Superposition
Mitchell Wortsman
Vivek Ramanujan
Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
J. Yosinski
Ali Farhadi
SSL
CLL
64
292
0
26 Jun 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
Information-Theoretic Probing with Minimum Description Length
Information-Theoretic Probing with Minimum Description Length
Elena Voita
Ivan Titov
68
274
0
27 Mar 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural
  Networks
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon
Abdulkadir Canatar
Cengiz Pehlevan
205
206
0
07 Feb 2020
Three scenarios for continual learning
Three scenarios for continual learning
Gido M. van de Ven
A. Tolias
CLL
78
889
0
15 Apr 2019
Learning and Evaluating General Linguistic Intelligence
Learning and Evaluating General Linguistic Intelligence
Dani Yogatama
Cyprien de Masson dÁutume
Jerome T. Connor
Tomás Kociský
Mike Chrzanowski
...
Angeliki Lazaridou
Wang Ling
Lei Yu
Chris Dyer
Phil Blunsom
ELM
AI4CE
141
210
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
188
1,449
0
02 Dec 2018
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
84
307
0
24 May 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
Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
146
4,589
0
26 Oct 2017
Learning multiple visual domains with residual adapters
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
144
931
0
22 May 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
61
880
0
30 Jan 2017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs
  by Selective Execution
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution
Lanlan Liu
Jia Deng
72
203
0
02 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
319
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
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