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Efficient Continual Learning with Modular Networks and Task-Driven
  Priors

Efficient Continual Learning with Modular Networks and Task-Driven Priors

23 December 2020
Tom Véniat
Ludovic Denoyer
MarcÁurelio Ranzato
    CLL
ArXivPDFHTML

Papers citing "Efficient Continual Learning with Modular Networks and Task-Driven Priors"

32 / 32 papers shown
Title
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Zhenrong Liu
J. Huttunen
M. Honkala
CLL
49
0
0
13 May 2025
Modular Training of Neural Networks aids Interpretability
Modular Training of Neural Networks aids Interpretability
Satvik Golechha
Maheep Chaudhary
Joan Velja
Alessandro Abate
Nandi Schoots
79
0
0
04 Feb 2025
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Anthony Kobanda
Rémy Portelas
Odalric-Ambrym Maillard
Ludovic Denoyer
OffRL
CLL
77
0
0
19 Dec 2024
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
Nazia Tasnim
Bryan A. Plummer
CLL
OffRL
74
0
0
25 Nov 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELM
CLL
42
8
0
27 Mar 2024
Simple and Scalable Strategies to Continually Pre-train Large Language
  Models
Simple and Scalable Strategies to Continually Pre-train Large Language Models
Adam Ibrahim
Benjamin Thérien
Kshitij Gupta
Mats L. Richter
Quentin Anthony
Timothée Lesort
Eugene Belilovsky
Irina Rish
KELM
CLL
44
51
0
13 Mar 2024
Divide and not forget: Ensemble of selectively trained experts in
  Continual Learning
Divide and not forget: Ensemble of selectively trained experts in Continual Learning
Grzegorz Rype'sć
Sebastian Cygert
Valeriya Khan
Tomasz Trzciñski
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
26
28
0
18 Jan 2024
CUCL: Codebook for Unsupervised Continual Learning
CUCL: Codebook for Unsupervised Continual Learning
Chen Cheng
Jingkuan Song
Xiaosu Zhu
Junchen Zhu
Lianli Gao
H. Shen
CLL
23
2
0
25 Nov 2023
Continual Referring Expression Comprehension via Dual Modular
  Memorization
Continual Referring Expression Comprehension via Dual Modular Memorization
Hengtao Shen
Cheng Chen
Peng Wang
Lianli Gao
M. Wang
Jingkuan Song
ObjD
25
3
0
25 Nov 2023
What Can AutoML Do For Continual Learning?
What Can AutoML Do For Continual Learning?
Mert Kilickaya
Joaquin Vanschoren
30
1
0
20 Nov 2023
Embodied Lifelong Learning for Task and Motion Planning
Embodied Lifelong Learning for Task and Motion Planning
Jorge Armando Mendez Mendez
L. Kaelbling
Tomás Lozano-Pérez
27
16
0
13 Jul 2023
Improving Language Plasticity via Pretraining with Active Forgetting
Improving Language Plasticity via Pretraining with Active Forgetting
Yihong Chen
Kelly Marchisio
Roberta Raileanu
David Ifeoluwa Adelani
Pontus Stenetorp
Sebastian Riedel
Mikel Artetx
KELM
AI4CE
CLL
28
23
0
03 Jul 2023
SketchOGD: Memory-Efficient Continual Learning
SketchOGD: Memory-Efficient Continual Learning
Benjamin Wright
Youngjae Min
Jeremy Bernstein
Navid Azizan
CLL
18
0
0
25 May 2023
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong
  Learning
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning
Wenjin Wang
Yunqing Hu
Qianglong Chen
Yin Zhang
CLL
32
13
0
11 Apr 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
I. Ullah
Dustin Carrión-Ojeda
Sergio Escalera
Isabelle M Guyon
Mike Huisman
F. Mohr
Jan N van Rijn
Haozhe Sun
Joaquin Vanschoren
P. Vu
VLM
22
32
0
16 Feb 2023
Task-Aware Information Routing from Common Representation Space in
  Lifelong Learning
Task-Aware Information Routing from Common Representation Space in Lifelong Learning
Prashant Bhat
Bahram Zonooz
Elahe Arani
CLL
18
24
0
14 Feb 2023
Multipath agents for modular multitask ML systems
Multipath agents for modular multitask ML systems
Andrea Gesmundo
28
1
0
06 Feb 2023
RMM: Reinforced Memory Management for Class-Incremental Learning
RMM: Reinforced Memory Management for Class-Incremental Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
21
92
0
14 Jan 2023
Building a Subspace of Policies for Scalable Continual Learning
Building a Subspace of Policies for Scalable Continual Learning
Jean-Baptiste Gaya
T. Doan
Lucas Page-Caccia
Laure Soulier
Ludovic Denoyer
Roberta Raileanu
CLL
29
29
0
18 Nov 2022
Incremental Task Learning with Incremental Rank Updates
Incremental Task Learning with Incremental Rank Updates
Rakib Hyder
Ken Shao
Boyu Hou
P. Markopoulos
Ashley Prater-Bennette
M. Salman Asif
CLL
16
13
0
19 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
29
27
0
15 Jul 2022
Remember the Past: Distilling Datasets into Addressable Memories for
  Neural Networks
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
Zhiwei Deng
Olga Russakovsky
FedML
DD
28
92
0
06 Jun 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLL
VLM
142
91
0
17 Jan 2022
Continual Learning of Long Topic Sequences in Neural Information
  Retrieval
Continual Learning of Long Topic Sequences in Neural Information Retrieval
Thomas Gerald
Laure Soulier
CLL
26
4
0
10 Jan 2022
Generative Kernel Continual learning
Generative Kernel Continual learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDL
VLM
33
0
0
26 Dec 2021
Contrastive Continual Learning with Feature Propagation
Contrastive Continual Learning with Feature Propagation
Xuejun Han
Yuhong Guo
CLL
21
4
0
03 Dec 2021
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning
  via Sparse Networks
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks
Ghada Sokar
D. Mocanu
Mykola Pechenizkiy
CLL
32
8
0
11 Oct 2021
GROWN: GRow Only When Necessary for Continual Learning
GROWN: GRow Only When Necessary for Continual Learning
Li Yang
Sen Lin
Junshan Zhang
Deliang Fan
CLL
28
11
0
03 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang-Cuong Pham
Chenghao Liu
S. Hoi
CLL
71
42
0
01 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
25
73
0
23 Sep 2021
Same State, Different Task: Continual Reinforcement Learning without
  Interference
Same State, Different Task: Continual Reinforcement Learning without Interference
Samuel Kessler
Jack Parker-Holder
Philip J. Ball
S. Zohren
Stephen J. Roberts
CLL
OffRL
11
46
0
05 Jun 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,681
0
09 Mar 2017
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