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Continuum: Simple Management of Complex Continual Learning Scenarios

Continuum: Simple Management of Complex Continual Learning Scenarios

11 February 2021
Arthur Douillard
Timothée Lesort
ArXiv (abs)PDFHTML

Papers citing "Continuum: Simple Management of Complex Continual Learning Scenarios"

14 / 14 papers shown
Title
Reflecting on the State of Rehearsal-free Continual Learning with
  Pretrained Models
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Lukas Thede
Karsten Roth
Olivier J. Hénaff
Matthias Bethge
Zeynep Akata
CLL
86
5
0
13 Jun 2024
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to
  Diversify Learning Data Samples
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples
Xiwen Chen
Huayu Li
Rahul Amin
Abolfazl Razi
38
3
0
09 Apr 2023
CLIP model is an Efficient Continual Learner
CLIP model is an Efficient Continual Learner
Vishal Thengane
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
BDLVLMCLL
173
51
0
06 Oct 2022
Continual Object Detection: A review of definitions, strategies, and
  challenges
Continual Object Detection: A review of definitions, strategies, and challenges
Angelo G. Menezes
Gustavo de Moura
Cézanne Alves
André C. P. L. F. de Carvalho
ObjD
113
53
0
30 May 2022
Simpler is Better: off-the-shelf Continual Learning Through Pretrained
  Backbones
Simpler is Better: off-the-shelf Continual Learning Through Pretrained Backbones
Francesco Pelosin
VLM
80
11
0
03 May 2022
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Arthur Douillard
Alexandre Ramé
Guillaume Couairon
Matthieu Cord
CLL
149
313
0
22 Nov 2021
Continual Learning via Local Module Composition
Continual Learning via Local Module Composition
O. Ostapenko
Pau Rodríguez López
Massimo Caccia
Laurent Charlin
KELMCLL
114
67
0
15 Nov 2021
Sequoia: A Software Framework to Unify Continual Learning Research
Sequoia: A Software Framework to Unify Continual Learning Research
Fabrice Normandin
Florian Golemo
O. Ostapenko
Pau Rodríguez López
Matthew D Riemer
...
Dominic Zhao
Timothée Lesort
Laurent Charlin
Irina Rish
Massimo Caccia
CLL
94
21
0
02 Aug 2021
Tackling Catastrophic Forgetting and Background Shift in Continual
  Semantic Segmentation
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation
Arthur Douillard
Yifu Chen
Arnaud Dapogny
Matthieu Cord
CLL
61
21
0
29 Jun 2021
Continual Learning in Deep Networks: an Analysis of the Last Layer
Continual Learning in Deep Networks: an Analysis of the Last Layer
Timothée Lesort
Thomas George
Irina Rish
KELM
94
22
0
03 Jun 2021
Class-Incremental Learning with Generative Classifiers
Class-Incremental Learning with Generative Classifiers
Gido M. van de Ven
Zhe Li
A. Tolias
BDL
96
60
0
20 Apr 2021
Understanding Continual Learning Settings with Data Distribution Drift
  Analysis
Understanding Continual Learning Settings with Data Distribution Drift Analysis
Timothée Lesort
Massimo Caccia
Irina Rish
93
56
0
04 Apr 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
BDLAI4TS
115
187
0
01 Apr 2021
Regularization Shortcomings for Continual Learning
Regularization Shortcomings for Continual Learning
Timothée Lesort
Andrei Stoian
David Filliat
CLL
85
50
0
06 Dec 2019
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