/continual_learning_papers

Relevant papers in Continual Learning

Primary LanguageTeX

Continual Learning Literature

This repository is maintained by Massimo Caccia and Timothée Lesort don't hesitate to send us an email to collaborate or fix some entries ({massimo.p.caccia , t.lesort} at gmail.com). The automation script of this repo is adapted from Automatic_Awesome_Bibliography.

For contributing to the repository please follow the process here

You can directly use our bib.tex in overleaf with this link

Outline

Classics

Empirical Study

Surveys

Influentials

New Settings or Metrics

General Continual Learning Methods (SL and RL)

Task-Agnostic Continual Learning

Regularization Methods

Distillation Methods

Rehearsal Methods

Generative Replay Methods

Dynamic Architectures or Routing Methods

Hybrid Methods

Continual Few-Shot Learning

Meta-Continual Learning

Lifelong Reinforcement Learning

Task-Agnostic Lifelong Reinforcement Learning

Continual Generative Modeling

Biologically-Inspired

Miscellaneous

Applications

Thesis

Libraries

  • Renate: a library for real-world continual learning , (2022) by ** [bib] A library for real-world continual learning with integrated hyperparameter tuning.
  • Sequoia - Towards a Systematic Organization of Continual Learning Research , (2021) by Fabrice Normandin, Florian Golemo, Oleksiy Ostapenko, Matthew Riemer, Pau Rodriguez, Julio Hurtado, Khimya Khetarpal, Timothée Lesort, Laurent Charlin, Irina Rish and Massimo Caccia [bib] A library that unifies Continual Supervised and Continual Reinforcement Learning research
  • Avalanche: an End-to-End Library for Continual Learning , (2021) by Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Gabriele Graffieti and Antonio Carta [bib] A library for Continual Supervised Learning
  • Continuous Coordination As a Realistic Scenario for Lifelong Learning , (2021) by Hadi Nekoei, Akilesh Badrinaaraayanan, Aaron Courville and Sarath Chandar [bib] a multi-agent lifelong learning testbed that supports both zero-shot and few-shot settings.
  • River: machine learning for streaming data in Python, (2020) by Jacob Montiel, Max Halford, Saulo Martiello Mastelini and Geoffrey Bolmier, Raphael Sourty, Robin Vaysse and Adil Zouitine, Heitor Murilo Gomes, Jesse Read and Talel Abdessalem and Albert Bifet [bib] A library for online learning.
  • Continuum, Data Loaders for Continual Learning, (2020) by Douillard, Arthur and Lesort, Timothée [bib] A library proposing continual learning scenarios and metrics.
  • Framework for Analysis of Class-Incremental Learning , (arXiv 2020) by Masana, Marc, Liu, Xialei, Twardowski, Bartlomiej, Menta, Mikel, Bagdanov, Andrew D and van de Weijer, Joost [bib] A library for Continual Class-Incremental Learning

Workshops