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Eugene Belilovsky
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Bio
Some of my current research interests include continual and online deep learning, sample efficient deep learning, (scalable) alternative training methods for deep networks. I am also intrested in problems at the intersection of computer vision and language, particularly visual relation discovery and reasoning (with applications in e.g. VQA), instruction following agents.
Papers25 papers
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Michalkiewicz Mateusz,Parisot Sarah,Tsogkas Stavros,Baktashmotlagh Mahsa,Eriksson Anders,Belilovsky Eugene
european conference on computer vision, pp.614-630, (2020)
ICML, pp.736-745, (2020)
Mathieu Andreux, Tomás Angles,Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka,Stéphane Mallat, Joakim Andén,Eugene Belilovsky,Joan Bruna, Vincent Lostanlen
Journal of Machine Learning Research, no. 60 (2020): 1-6
BMVC, (2020)
international conference on learning representations, (2020)
ViGIL@NeurIPS, (2019)
BMVC, pp.280, (2019)
ICML 2020, (2019)
ECCV, (2018): 305-320
IEEE Transactions on Pattern Analysis and Machine Intelligence, no. 9 (2018): 2208-2221
arXiv: Computer Vision and Pattern Recognition, (2018)
international conference on machine learning, (2018)
Mathieu Andreux, Tomás Angles,Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka,Stéphane Mallat,Joakim Andén,Eugene Belilovsky,Joan Bruna, Vincent Lostanlen
arXiv: Learning, (2018)
ICML, pp.440-448, (2017)
ICCV, (2017)
arXiv: Artificial Intelligence, (2016)
international conference on learning representations, (2016)
arXiv: Machine Learning, (2016)
Bibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 29 (NIPS 2016), (2016): 595-603
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