| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 3152 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 1120 | 2024 |
| Gemma: Open models based on gemini research and technology G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ... arXiv preprint arXiv:2403.08295, 2024 | 998 | 2024 |
| Internet-augmented language models through few-shot prompting for open-domain question answering A Lazaridou, E Gribovskaya, W Stokowiec, N Grigorev arXiv preprint arXiv:2203.05115, 2022 | 222 | 2022 |
| The DeepMind JAX Ecosystem, 2020 I Babuschkin, K Baumli, A Bell, S Bhupatiraju, J Bruce, P Buchlovsky, ... URL http://github. com/deepmind 18, 2010 | 175* | 2010 |
| Fashion-gen: The generative fashion dataset and challenge N Rostamzadeh, S Hosseini, T Boquet, W Stokowiec, Y Zhang, C Jauvin, ... arXiv preprint arXiv:1806.08317, 2018 | 164 | 2018 |
| Adversarial autoencoders for compact representations of 3D point clouds M Zamorski, M Zięba, P Klukowski, R Nowak, K Kurach, W Stokowiec, ... Computer Vision and Image Understanding 193, 102921, 2020 | 116 | 2020 |
| Better document-level machine translation with Bayes’ rule L Yu, L Sartran, W Stokowiec, W Ling, L Kong, P Blunsom, C Dyer Transactions of the Association for Computational Linguistics 8, 346-360, 2020 | 49 | 2020 |
| Speaker diarization using deep recurrent convolutional neural networks for speaker embeddings P Cyrta, T Trzciński, W Stokowiec International Conference on Information Systems Architecture and Technology …, 2017 | 49 | 2017 |
| Shallow reading with Deep Learning: Predicting popularity of online content using only its title P Rokita, W Stokowiec, T Trzcinski, K Wolk, K Marasek International Symposium on Methodologies for Intelligent Systems (ISMIS), 2017 | 40* | 2017 |
| The DeepMind JAX Ecosystem, 2020 IB DeepMind, K Baumli, A Bell, S Bhupatiraju, J Bruce, P Buchlovsky, ... URL http://github. com/google-deepmind, 0 | 32 | |
| Adversarial autoencoders for generating 3d point clouds M Zamorski, M Zieba, R Nowak, W Stokowiec, T Trzcinski arXiv preprint arXiv:1811.07605 2 (3), 2018 | 22 | 2018 |
| What Looks Good with my Sofa: Multimodal Search Engine for Interior Design T Ivona, A Możejko, W Stokowiec, T Trzcinski, Ł Brocki, K Marasek FEDCSIS 5th Conference on Multimedia, Interaction, Design and Innovation (MIDI), 2017 | 18* | 2017 |
| The DeepMind Chinese–English document translation system at WMT2020 L Yu, L Sartran, PS Huang, W Stokowiec, D Donato, S Srinivasan, ... Proceedings of the Fifth Conference on Machine Translation, 326-337, 2020 | 17 | 2020 |
| LanguageCrawl: A generic tool for building language models upon common Crawl S Roziewski, M Kozłowski Language Resources and Evaluation 55 (4), 1047-1075, 2021 | 16* | 2021 |
| AlphaCode 2 Technical Repot GDM AlphaCode Team https://storage.googleapis.com/deepmind-media/AlphaCode2 …, 2023 | 6* | 2023 |
| A natural bias for language generation models C Meister, W Stokowiec, T Pimentel, L Yu, L Rimell, A Kuncoro arXiv preprint arXiv:2212.09686, 2022 | 6 | 2022 |
| Steam review dataset-new, large scale sentiment dataset A Sobkowicz, W Stokowiec Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 4 | 2016 |
| N-gram collection from a large-scale corpus of polish internet S Roziewski, W Stokowiec, A Sobkowicz Machine Intelligence and Big Data in Industry, 23-34, 2016 | 3 | 2016 |
| A comparative study on music genre classification algorithms W Stokowiec Machine intelligence and big data in industry, 123-132, 2016 | 3 | 2016 |
Tomasz TrzcinskiWarsaw University of Technology, Tooploox, IDEAS NCBRایمیل تأیید شده در pw.edu.pl