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Continual Learning papers list, curated by ContinualAI
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Add papers and PhD thesis #13

Closed EdenBelouadah closed 2 years ago

EdenBelouadah commented 2 years ago

Thank you for the great papers library. Can you please add the following? Thank you!

Thesis:

@phdthesis{DBLP:phd/hal/Belouadah21,
  author    = {Eden Belouadah},
  title     = {Large-scale deep class-incremental learning. (Apprentissage incr{\'{e}}mental
               profond {\`{a}} large {\'{e}}chelle)},
  school    = {Ecole nationale sup{\'{e}}rieure Mines-T{\'{e}}l{\'{e}}com
               Atlantique, France},
  year      = {2021},
  url       = {https://tel.archives-ouvertes.fr/tel-03478553},
  timestamp = {Wed, 26 Jan 2022 22:09:47 +0100},
  biburl    = {https://dblp.org/rec/phd/hal/Belouadah21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

papers:

*** Memory-free:** 
@inproceedings{DBLP:conf/wacv/SlimB0O22,
  author    = {Habib Slim and
               Eden Belouadah and
               Adrian Popescu and
               Darian M. Onchis},
  title     = {Dataset Knowledge Transfer for Class-Incremental Learning without
               Memory},
  booktitle = {{IEEE/CVF} Winter Conference on Applications of Computer Vision, {WACV}
               2022, Waikoloa, HI, USA, January 3-8, 2022},
  pages     = {3311--3320},
  publisher = {{IEEE}},
  year      = {2022},
  url       = {https://doi.org/10.1109/WACV51458.2022.00337},
  doi       = {10.1109/WACV51458.2022.00337},
  timestamp = {Thu, 17 Feb 2022 14:51:17 +0100},
  biburl    = {https://dblp.org/rec/conf/wacv/SlimB0O22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

*** Review Papers and Books:**
@article{DBLP:journals/corr/abs-2202-00386,
  author    = {Umang Aggarwal and
               Adrian Popescu and
               Eden Belouadah and
               C{\'{e}}line Hudelot},
  title     = {A Comparative Study of Calibration Methods for Imbalanced Class Incremental
               Learning},
  journal   = {CoRR},
  volume    = {abs/2202.00386},
  year      = {2022},
  url       = {https://arxiv.org/abs/2202.00386},
  eprinttype = {arXiv},
  eprint    = {2202.00386},
  timestamp = {Wed, 09 Feb 2022 15:43:35 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2202-00386.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

*** Review Papers and Books:**
@article{DBLP:journals/nn/BelouadahPK21,
  author    = {Eden Belouadah and
               Adrian Popescu and
               Ioannis Kanellos},
  title     = {A comprehensive study of class incremental learning algorithms for
               visual tasks},
  journal   = {Neural Networks},
  volume    = {135},
  pages     = {38--54},
  year      = {2021},
  url       = {https://doi.org/10.1016/j.neunet.2020.12.003},
  doi       = {10.1016/j.neunet.2020.12.003},
  timestamp = {Tue, 01 Jun 2021 09:59:41 +0200},
  biburl    = {https://dblp.org/rec/journals/nn/BelouadahPK21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

*** Memory-free:**
@inproceedings{DBLP:conf/eccv/BelouadahP18,
  author    = {Eden Belouadah and
               Adrian Popescu},
  editor    = {Laura Leal{-}Taix{\'{e}} and
               Stefan Roth},
  title     = {DeeSIL: Deep-Shallow Incremental Learning},
  booktitle = {Computer Vision - {ECCV} 2018 Workshops - Munich, Germany, September
               8-14, 2018, Proceedings, Part {II}},
  series    = {Lecture Notes in Computer Science},
  volume    = {11130},
  pages     = {151--157},
  publisher = {Springer},
  year      = {2018},
  url       = {https://doi.org/10.1007/978-3-030-11012-3\_11},
  doi       = {10.1007/978-3-030-11012-3\_11},
  timestamp = {Fri, 28 Aug 2020 13:32:32 +0200},
  biburl    = {https://dblp.org/rec/conf/eccv/BelouadahP18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

*** Rehearsal methods:**
@inproceedings{DBLP:conf/iccv/BelouadahP19,
  author    = {Eden Belouadah and
               Adrian Popescu},
  title     = {{IL2M:} Class Incremental Learning With Dual Memory},
  booktitle = {2019 {IEEE/CVF} International Conference on Computer Vision, {ICCV}
               2019, Seoul, Korea (South), October 27 - November 2, 2019},
  pages     = {583--592},
  publisher = {{IEEE}},
  year      = {2019},
  url       = {https://doi.org/10.1109/ICCV.2019.00067},
  doi       = {10.1109/ICCV.2019.00067},
  timestamp = {Fri, 28 Aug 2020 13:32:30 +0200},
  biburl    = {https://dblp.org/rec/conf/iccv/BelouadahP19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

*** Rehearsal methods:**
@inproceedings{DBLP:conf/wacv/BelouadahP20,
  author    = {Eden Belouadah and
               Adrian Popescu},
  title     = {ScaIL: Classifier Weights Scaling for Class Incremental Learning},
  booktitle = {{IEEE} Winter Conference on Applications of Computer Vision, {WACV}
               2020, Snowmass Village, CO, USA, March 1-5, 2020},
  pages     = {1255--1264},
  publisher = {{IEEE}},
  year      = {2020},
  url       = {https://doi.org/10.1109/WACV45572.2020.9093562},
  doi       = {10.1109/WACV45572.2020.9093562},
  timestamp = {Fri, 28 Aug 2020 13:32:27 +0200},
  biburl    = {https://dblp.org/rec/conf/wacv/BelouadahP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

*** Active Learning:**
@inproceedings{DBLP:conf/eccv/BelouadahPAS20,
  author    = {Eden Belouadah and
               Adrian Popescu and
               Umang Aggarwal and
               L{\'{e}}o Saci},
  editor    = {Adrien Bartoli and
               Andrea Fusiello},
  title     = {Active Class Incremental Learning for Imbalanced Datasets},
  booktitle = {Computer Vision - {ECCV} 2020 Workshops - Glasgow, UK, August 23-28,
               2020, Proceedings, Part {VI}},
  series    = {Lecture Notes in Computer Science},
  volume    = {12540},
  pages     = {146--162},
  publisher = {Springer},
  year      = {2020},
  url       = {https://doi.org/10.1007/978-3-030-65414-6\_12},
  doi       = {10.1007/978-3-030-65414-6\_12},
  timestamp = {Wed, 07 Apr 2021 16:01:44 +0200},
  biburl    = {https://dblp.org/rec/conf/eccv/BelouadahPAS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

*** Memory-free:**
@inproceedings{DBLP:conf/bmvc/BelouadahPK20,
  author    = {Eden Belouadah and
               Adrian Popescu and
               Ioannis Kanellos},
  title     = {Initial Classifier Weights Replay for Memoryless Class Incremental
               Learning},
  booktitle = {31st British Machine Vision Conference 2020, {BMVC} 2020, Virtual
               Event, UK, September 7-10, 2020},
  publisher = {{BMVA} Press},
  year      = {2020},
  url       = {https://www.bmvc2020-conference.com/assets/papers/0743.pdf},
  timestamp = {Wed, 03 Feb 2021 08:36:16 +0100},
  biburl    = {https://dblp.org/rec/conf/bmvc/BelouadahPK20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
AndreaCossu commented 2 years ago

Definitely :smile: could you suggest at least one category for each paper?

EdenBelouadah commented 2 years ago

Thank you! I added a category for each paper. Some of the categories do not already exist. If it is not possible to make them, it's okay to put the papers in the "Others" category :)

Thanks again

AndreaCossu commented 2 years ago

Thank you @EdenBelouadah , I will add these to the list very soon!

EdenBelouadah commented 2 years ago

Thanks :D