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Florian STRUB
Florian STRUB
DeepMind
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Zitiert von
Zitiert von
Jahr
Bootstrap your own latent-a new approach to self-supervised learning
JB Grill, F Strub, F Altché, C Tallec, P Richemond, E Buchatskaya, ...
Advances in neural information processing systems 33, 21271-21284, 2020
57072020
Film: Visual reasoning with a general conditioning layer
E Perez, F Strub, H De Vries, V Dumoulin, A Courville
Association for the Advancement of Artificial Intelligence, 2017
17432017
Modulating early visual processing by language
H De Vries, F Strub, J Mary, H Larochelle, O Pietquin, AC Courville
Advances in neural information processing systems 30, 2017
5262017
GuessWhat?! Visual object discovery through multi-modal dialogue
H de Vries, F Strub, S Chandar, O Pietquin, H Larochelle, A Courville
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016
4402016
Hybrid recommender system based on autoencoders
F Strub, R Gaudel, J Mary
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 11-16, 2016
336*2016
Deep reinforcement learning and the deadly triad
H Van Hasselt, Y Doron, F Strub, M Hessel, N Sonnerat, J Modayil
Deep Reinforcement Learning Workshop, NIPS, 2018
2342018
Collaborative filtering with stacked denoising autoencoders and sparse inputs
F Strub, J Mary, P Philippe
NIPS workshop on machine learning for eCommerce, 2015
2252015
Feature-wise transformations
V Dumoulin, E Perez, N Schucher, F Strub, H Vries, A Courville, Y Bengio
Distill 3 (7), e11, 2018
154*2018
End-to-end optimization of goal-driven and visually grounded dialogue systems
F Strub, H De Vries, J Mary, B Piot, A Courville, O Pietquin
International Joint Conference on Artificial Intelligence, 2017
152*2017
Mastering the game of stratego with model-free multiagent reinforcement learning
J Perolat, B De Vylder, D Hennes, E Tarassov, F Strub, V de Boer, ...
Science 378 (6623), 990-996, 2022
1372022
HoME: A household multimodal environment
S Brodeur, E Perez, A Anand, F Golemo, L Celotti, F Strub, J Rouat, ...
Visually-Grounded Interaction and Language Workshop (ViGIL), NIPS, 2017
1282017
Broaden your views for self-supervised video learning
A Recasens, P Luc, JB Alayrac, L Wang, F Strub, C Tallec, M Malinowski, ...
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
1202021
Byol works even without batch statistics
PH Richemond, JB Grill, F Altché, C Tallec, F Strub, A Brock, S Smith, ...
arXiv preprint arXiv:2010.10241, 2020
822020
Learning visual reasoning without strong priors
E Perez, H De Vries, F Strub, V Dumoulin, A Courville
arXiv preprint arXiv:1707.03017, 2017
672017
Countering language drift with seeded iterated learning
Y Lu, S Singhal, F Strub, A Courville, O Pietquin
International Conference on Machine Learning, 6437-6447, 2020
602020
Learning Nash Equilibrium for General-Sum Markov Games from Batch Data
J Pérolat, F Strub, B Piot, O Pietquin
International Conference on Artificial Intelligence and Statistics, 2016
572016
k. kavukcuoglu, R
JB Grill, F Strub, F Altché, C Tallec, P Richemond, E Buchatskaya, ...
Munos, and M. Valko,“Bootstrap your own latent-a new approach to self …, 2020
562020
Emergent communication at scale
R Chaabouni, F Strub, F Altché, E Tarassov, C Tallec, E Davoodi, ...
International conference on learning representations, 2021
502021
Higher: Improving instruction following with hindsight generation for experience replay
G Cideron, M Seurin, F Strub, O Pietquin
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 225-232, 2020
48*2020
Accurate reconstruction of EBSD datasets by a multimodal data approach using an evolutionary algorithm
MA Charpagne, F Strub, TM Pollock
Materials Characterization 150, 184-198, 2019
442019
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