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Dynamically Modular and Sparse General Continual Learning

Dynamically Modular and Sparse General Continual Learning

2 January 2023
Arnav Varma
Elahe Arani
Bahram Zonooz
ArXiv (abs)PDFHTML

Papers citing "Dynamically Modular and Sparse General Continual Learning"

26 / 26 papers shown
Title
Reinforcement learning
Reinforcement learning
Florentin Wörgötter
82
2,534
0
16 May 2024
Probing Representation Forgetting in Supervised and Unsupervised
  Continual Learning
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning
Mohammad-Javad Davari
Nader Asadi
Sudhir Mudur
Rahaf Aljundi
Eugene Belilovsky
CLLKELM
48
76
0
24 Mar 2022
Sparsity and Heterogeneous Dropout for Continual Learning in the Null
  Space of Neural Activations
Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations
Ali Abbasi
Parsa Nooralinejad
Vladimir Braverman
Hamed Pirsiavash
Soheil Kolouri
CLL
62
17
0
12 Mar 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
101
785
0
16 Dec 2021
Continual Learning via Local Module Composition
Continual Learning via Local Module Composition
O. Ostapenko
Pau Rodríguez López
Massimo Caccia
Laurent Charlin
KELMCLL
101
67
0
15 Nov 2021
Efficient Continual Learning with Modular Networks and Task-Driven
  Priors
Efficient Continual Learning with Modular Networks and Task-Driven Priors
Tom Véniat
Ludovic Denoyer
MarcÁurelio Ranzato
CLL
73
98
0
23 Dec 2020
Inductive Biases for Deep Learning of Higher-Level Cognition
Inductive Biases for Deep Learning of Higher-Level Cognition
Anirudh Goyal
Yoshua Bengio
AI4CE
80
361
0
30 Nov 2020
Routing Networks with Co-training for Continual Learning
Routing Networks with Co-training for Continual Learning
Mark Collier
Efi Kokiopoulou
Andrea Gesmundo
Jesse Berent
CLL
70
15
0
09 Sep 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
BDLCLL
85
914
0
15 Apr 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning
Conditional Channel Gated Networks for Task-Aware Continual Learning
Davide Abati
Jakub M. Tomczak
Tijmen Blankevoort
Simone Calderara
Rita Cucchiara
B. Bejnordi
CLL
74
186
0
31 Mar 2020
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by
  Enabling Input-Adaptive Inference
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference
Ting-Kuei Hu
Tianlong Chen
Haotao Wang
Zhangyang Wang
OODAAML3DH
59
84
0
24 Feb 2020
Continual Learning with Adaptive Weights (CLAW)
Continual Learning with Adaptive Weights (CLAW)
T. Adel
Han Zhao
Richard Turner
CLL
45
73
0
21 Nov 2019
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
210
1,456
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
93
787
0
29 Oct 2018
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
93
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
125
889
0
16 May 2018
Selective Experience Replay for Lifelong Learning
Selective Experience Replay for Lifelong Learning
David Isele
Akansel Cosgun
CLL
88
457
0
28 Feb 2018
Convolutional Networks with Adaptive Inference Graphs
Convolutional Networks with Adaptive Inference Graphs
Andreas Veit
Serge J. Belongie
OODGNN
95
385
0
30 Nov 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
101
636
0
26 Nov 2017
BlockDrop: Dynamic Inference Paths in Residual Networks
BlockDrop: Dynamic Inference Paths in Residual Networks
Zuxuan Wu
Tushar Nagarajan
Abhishek Kumar
Steven J. Rennie
L. Davis
Kristen Grauman
Rogerio Feris
95
466
0
22 Nov 2017
Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via
  Deep Layer Cascade
Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade
Xiaoxiao Li
Ziwei Liu
Ping Luo
Chen Change Loy
Xiaoou Tang
147
264
0
05 Apr 2017
Adaptive Neural Networks for Efficient Inference
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi
Joseph Wang
O. Dekel
Venkatesh Saligrama
51
355
0
25 Feb 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
369
7,518
0
02 Dec 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Conditional Computation in Neural Networks for faster models
Conditional Computation in Neural Networks for faster models
Emmanuel Bengio
Pierre-Luc Bacon
Joelle Pineau
Doina Precup
AI4CE
157
321
0
19 Nov 2015
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
234
8,336
0
06 Nov 2014
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