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Routing Networks with Co-training for Continual Learning

Routing Networks with Co-training for Continual Learning

9 September 2020
Mark Collier
Efi Kokiopoulou
Andrea Gesmundo
Jesse Berent
    CLL
ArXiv (abs)PDFHTML

Papers citing "Routing Networks with Co-training for Continual Learning"

11 / 11 papers shown
Title
Brain-Inspired Continual Learning-Robust Feature Distillation and
  Re-Consolidation for Class Incremental Learning
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
CLL
233
1
0
22 Apr 2024
The Importance of Robust Features in Mitigating Catastrophic Forgetting
The Importance of Robust Features in Mitigating Catastrophic ForgettingInternational Symposium on Computers and Communications (ISCC), 2023
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
158
9
0
29 Jun 2023
MRN: Multiplexed Routing Network for Incremental Multilingual Text
  Recognition
MRN: Multiplexed Routing Network for Incremental Multilingual Text RecognitionIEEE International Conference on Computer Vision (ICCV), 2023
Tianlun Zheng
Zhineng Chen
Bin Huang
Wei Zhang
Yuran Jiang
306
15
0
24 May 2023
Scaling Vision-Language Models with Sparse Mixture of Experts
Scaling Vision-Language Models with Sparse Mixture of ExpertsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Sheng Shen
Z. Yao
Chunyuan Li
Trevor Darrell
Kurt Keutzer
Yuxiong He
VLMMoE
258
95
0
13 Mar 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
773
1,035
0
31 Jan 2023
Dynamically Modular and Sparse General Continual Learning
Dynamically Modular and Sparse General Continual LearningVISIGRAPP (VISIGRAPP), 2023
Arnav Varma
Elahe Arani
Bahram Zonooz
110
1
0
02 Jan 2023
Resolving Task Confusion in Dynamic Expansion Architectures for Class
  Incremental Learning
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Bin Huang
Zhineng Chen
Peng Zhou
Jiayin Chen
Zuxuan Wu
CLL
113
25
0
29 Dec 2022
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual LearningMachine-mediated learning (ML), 2022
Heinke Hihn
Daniel A. Braun
BDLCLL
145
14
0
14 Nov 2022
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture
  of Experts
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of ExpertsNeural Information Processing Systems (NeurIPS), 2022
Basil Mustafa
C. Riquelme
J. Puigcerver
Rodolphe Jenatton
N. Houlsby
VLMMoE
318
269
0
06 Jun 2022
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansionComputer Vision and Pattern Recognition (CVPR), 2021
Arthur Douillard
Alexandre Ramé
Guillaume Couairon
Matthieu Cord
CLL
334
376
0
22 Nov 2021
Mixture-of-Variational-Experts for Continual Learning
Mixture-of-Variational-Experts for Continual Learning
Y. Yin
Yu Wang
CLLFedML
214
10
0
25 Oct 2021
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