| 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 | 1388 | 2020 |
| Bootstrap latent-predictive representations for multitask reinforcement learning ZD Guo, BA Pires, B Piot, JB Grill, F Altché, R Munos, MG Azar International Conference on Machine Learning, 3875-3886, 2020 | 57 | 2020 |
| Cost-sensitive multiclass classification risk bounds BA Pires, C Szepesvari, M Ghavamzadeh International Conference on Machine Learning, 1391-1399, 2013 | 48 | 2013 |
| Neural predictive belief representations ZD Guo, MG Azar, B Piot, BA Pires, R Munos arXiv preprint arXiv:1811.06407, 2018 | 44 | 2018 |
| Statistical linear estimation with penalized estimators: an application to reinforcement learning BA Pires, C Szepesvári arXiv preprint arXiv:1206.6444, 2012 | 28 | 2012 |
| World discovery models MG Azar, B Piot, BA Pires, JB Grill, F Altché, R Munos arXiv preprint arXiv:1902.07685, 2019 | 24 | 2019 |
| Policy error bounds for model-based reinforcement learning with factored linear models BÁ Pires, C Szepesvári Conference on Learning Theory, 121-151, 2016 | 21 | 2016 |
| kavukcuoglu, k.; Munos, R.; and Valko, M. 2020. Bootstrap Your Own Latent-A New Approach to Self-Supervised Learning JB Grill, F Strub, F Altché, C Tallec, P Richemond, E Buchatskaya, ... Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, MF, 21271-21284, 0 | 21 | |
| Pseudo-MDPs and factored linear action models H Yao, C Szepesvári, BA Pires, X Zhang 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2014 | 16 | 2014 |
| Neural belief states for partially observed domains P Moreno, J Humplik, G Papamakarios, BA Pires, L Buesing, N Heess, ... NeurIPS 2018 workshop on Reinforcement Learning under Partial Observability, 2018 | 14 | 2018 |
| Multiclass classification calibration functions BÁ Pires, C Szepesvári arXiv preprint arXiv:1609.06385, 2016 | 13 | 2016 |
| Bootstrap your own latent: A new approach to self-supervised learning. arXiv 2020 JB Grill, F Strub, F Altché, C Tallec, PH Richemond, E Buchatskaya, ... arXiv preprint arXiv:2006.07733, 0 | 12 | |
| Mine your own view: Self-supervised learning through across-sample prediction M Azabou, MG Azar, R Liu, CH Lin, EC Johnson, K Bhaskaran-Nair, ... arXiv preprint arXiv:2102.10106, 2021 | 11 | 2021 |
| Bootstrap your own latent: A new approach to self-supervised learning. arXiv JB Grill, F Strub, F Altché, C Tallec, PH Richemond, E Buchatskaya, ... arXiv preprint arXiv:2006.07733, 2020 | 8 | 2020 |
| Geometric entropic exploration ZD Guo, MG Azar, A Saade, S Thakoor, B Piot, BA Pires, M Valko, ... arXiv preprint arXiv:2101.02055, 2021 | 7 | 2021 |
| Neural recursive belief states in multi-agent reinforcement learning P Moreno, E Hughes, KR McKee, BA Pires, T Weber arXiv preprint arXiv:2102.02274, 2021 | 6 | 2021 |
| Statistical analysis of l1-penalized linear estimation with applications B Ávila Pires | 6 | 2012 |
| Bootstrap your own latent: a new approach to self-supervised Learning 2020 JB Grill, F Strub, F Altché, C Tallec, PH Richemond, E Buchatskaya, ... arXiv preprint arXiv:2006.07733, 2021 | 5 | 2021 |
| Clause Identification Using Entropy Guided Transformation Learning ER Fernandes, B Pires, CN dos Santos, RL Milidiú Information and Human Language Technology (STIL), 2009 Seventh Brazilian …, 2009 | 5 | 2009 |
| k. kavukcuoglu, R. Munos, and M. Valko,“Bootstrap your own latent-a new approach to self-supervised learning,” vol. 33 JB Grill, F Strub, F Altché, C Tallec, P Richemond, E Buchatskaya, ... | 2 | 2020 |
