| 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 | 3405 | 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 | 1293 | 2024 |
| Skip RNN: learning to skip state updates in recurrent neural networks V Campos, B Jou, X Giro-i-Nieto, J Torres, SF Chang Sixth International Conference on Learning Representations: Monday April 30 …, 2018 | 288 | 2018 |
| From pixels to sentiment: Fine-tuning cnns for visual sentiment prediction V Campos, B Jou, X Giro-i-Nieto Image and Vision Computing, 2017 | 252 | 2017 |
| Explore, discover and learn: Unsupervised discovery of state-covering skills V Campos, A Trott, C Xiong, R Socher, X Giró-i-Nieto, J Torres International Conference on Machine Learning, 1317-1327, 2020 | 181 | 2020 |
| Diving deep into sentiment: Understanding fine-tuned CNNs for visual sentiment prediction V Campos, A Salvador, X Giró-i-Nieto, B Jou Proceedings of the 1st International Workshop on Affect & Sentiment in …, 2015 | 106 | 2015 |
| Recurrent Neural Networks for Semantic Instance Segmentation A Salvador, M Bellver, V Campos, M Baradad, F Marqués, J Torres, ... arXiv preprint arXiv:1712.00617, 2017 | 89 | 2017 |
| How to initialize your network? robust initialization for weightnorm & resnets D Arpit, V Campos, Y Bengio Advances in Neural Information Processing Systems, 10902-10911, 2019 | 79 | 2019 |
| Distributed training strategies for a computer vision deep learning algorithm on a distributed GPU cluster V Campos, F Sastre, M Yagües, M Bellver, X Giró-i-Nieto, J Torres Procedia Computer Science 108, 315-324, 2017 | 60 | 2017 |
| Human-level Atari 200x faster S Kapturowski, V Campos, R Jiang, N Rakićević, H van Hasselt, ... arXiv preprint arXiv:2209.07550, 2022 | 45 | 2022 |
| Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning V Campos, P Sprechmann, SS Hansen, A Barreto, S Kapturowski, ... ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021 | 39* | 2021 |
| Scaling a convolutional neural network for classification of adjective noun pairs with tensorflow on gpu clusters V Campos, F Sastre, M Yagües, J Torres, X Giró-i-Nieto 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2017 | 25 | 2017 |
| More cat than cute? Interpretable prediction of adjective-noun pairs D Fernández, A Woodward, V Campos, X Giró-i-Nieto, B Jou, SF Chang Proceedings of the Workshop on Multimodal Understanding of Social, Affective …, 2017 | 11 | 2017 |
| Sentiment concept embedding for visual affect recognition V Campos, X Giró-i-Nieto, B Jou, J Torres, SF Chang Multimodal behavior analysis in the wild, 349-367, 2019 | 7 | 2019 |
| Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks D Fojo, V Campos, X Giró-i-Nieto arXiv preprint arXiv:1803.08165, 2018 | 7 | 2018 |
| Disentangling Motion, Foreground and Background Features in Videos X Lin, V Campos, X Giro-i-Nieto, J Torres, CC Ferrer arXiv preprint arXiv:1707.04092, 2017 | 7 | 2017 |
| Importance Weighted Evolution Strategies V Campos, X Giró-i-Nieto, J Torres arXiv preprint arXiv:1811.04624, 2018 | 1 | 2018 |
| Deep learning that scales: leveraging compute and data V Campos Camúñez Universitat Politècnica de Catalunya, 2020 | | 2020 |
| Recurrent semantic instance semantic segmentation M Bellver, A Salvador Aguilera, V Campos, F Marqués Acosta, ... Book of abstracts, 63, 2018 | | 2018 |
| Learning to skip state updates in recurrent neural networks V Campos Camúñez Universitat Politècnica de Catalunya, 2017 | | 2017 |
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