Gemini: A family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 2213 | 2023 |
Meta-Learning with Latent Embedding Optimization AA Rusu, D Rao, J Sygnowski, O Vinyals, R Pascanu, S Osindero, ... arXiv preprint arXiv:1807.05960, 2018 | 1673 | 2018 |
Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688 472, 473, 2016 | 1108 | 2016 |
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 679 | 2024 |
Open-ended learning leads to generally capable agents OEL Team, A Stooke, A Mahajan, C Barros, C Deck, J Bauer, J Sygnowski, ... arXiv preprint arXiv:2107.12808, 2021 | 167 | 2021 |
Task Agnostic Continual Learning via Meta Learning X He, J Sygnowski, A Galashov, AA Rusu, YW Teh, R Pascanu arXiv preprint arXiv:1906.05201, 2019 | 118 | 2019 |
Human-Timescale Adaptation in an Open-Ended Task Space AA Team, J Bauer, K Baumli, S Baveja, F Behbahani, A Bhoopchand, ... arXiv preprint arXiv:2301.07608, 2023 | 75 | 2023 |
Meta-learning by the baldwin effect C Fernando, J Sygnowski, S Osindero, J Wang, T Schaul, D Teplyashin, ... Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 50 | 2018 |
Regularized behavior value estimation C Gulcehre, SG Colmenarejo, Z Wang, J Sygnowski, T Paine, K Zolna, ... arXiv preprint arXiv:2103.09575, 2021 | 37* | 2021 |
An Empirical Study of Implicit Regularization in Deep Offline RL C Gulcehre, S Srinivasan, J Sygnowski, G Ostrovski, M Farajtabar, ... arXiv preprint arXiv:2207.02099, 2022 | 18 | 2022 |
Sequential changepoint detection in neural networks with checkpoints MK Titsias, J Sygnowski, Y Chen Statistics and Computing 32 (2), 1-19, 2022 | 16 | 2022 |
Learning from the memory of Atari 2600 J Sygnowski, H Michalewski Computer Games, 71-85, 2016 | 15 | 2016 |
Importance Weighted Policy Learning and Adaptation A Galashov, J Sygnowski, G Desjardins, J Humplik, L Hasenclever, ... arXiv preprint arXiv:2009.04875, 2020 | 4 | 2020 |