Publications for author A. Rios (excluding plenary and invited talks)


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Click to download BibTeX data A. Rios, N. Ahuja, I. Ndiour, U. Genc, L. Itti, O. Tickoo, incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection, In: European Conference on Computer Vision (ECCV), pp. 588--604, Oct 2022. [2022 acceptance rate: 28%] (Cited by 5)

Click to download BibTeX data S. Wen, A. Rios, Y. Ge, L. Itti, Beneficial Perturbation Network for designing general adaptive artificial intelligence systems, IEEE Transactions on Neural Networks and Learning Systems, pp. 1-14, IEEE, 2021. [2020 impact factor: 8.793] (Cited by 17)

Click to download BibTeX data A. Rios, L. Itti, Lifelong Learning Without a Task Oracle, In: Proceedings of ICTAI 2020, pp. 3332-3338, Nov 2020. [2020 acceptance rate: 25%] (Cited by 8)

Click to download BibTeX data S. Wen, A. Rios, Y. Ge, L. Itti, Beneficial Perturbation Network for designing general adaptive artificial intelligence systems, arXiv preprint arXiv:2009.13954, 2020. [ArXiv Preprint] (Cited by 17)

Click to download BibTeX data A. Rios, L. Itti, Closed-Loop Memory GAN for Continual Learning, In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence Main track (IJCAI'19), pp. 3332-3338, Aug 2019. (Cited by 52)

Click to download PDF version Click to download BibTeX data Clik to view abstract A. Rios, L. Itti, Closed-Loop GAN for continual learning, In: 2018 NIPS workshop on Continual Learning, pp. 1-8, Dec 2018. (Cited by 51)

Click to download PDF version Click to download BibTeX data A. Rios, L. Itti, Closed-Loop GAN for continual learning, In: 2018 NIPS workshop on Women in Machine Learning (WiML) (oral presentation), p. 1, Dec 2018. (Cited by 51)

 

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