MolGAN: An implicit generative model for small molecular graphs N De Cao, T Kipf ICML 2018 - Proceedings of the 35th International Conference on Machine …, 2018 | 1106* | 2018 |
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 | 1071 | 2023 |
Hyperspherical Variational Auto-Encoders TR Davidson, L Falorsi, N De Cao, T Kipf, JM Tomczak UAI 2018 - 34th Conference on Uncertainty in Artificial Intelligence, 2018 | 468 | 2018 |
Autoregressive Entity Retrieval N De Cao, G Izacard, S Riedel, F Petroni ICLR 2021 - Proceedings of the 9th International Conference on Learning …, 2020 | 456 | 2020 |
KILT: a Benchmark for Knowledge Intensive Language Tasks F Petroni, A Piktus, A Fan, P Lewis, M Yazdani, N De Cao, J Thorne, ... NAACL 2021 - Conference of the North American Chapter of the Association for …, 2020 | 434 | 2020 |
Editing Factual Knowledge in Language Models N De Cao, W Aziz, I Titov EMNLP 2021 - Proceedings of the 2021 Conference on Empirical Methods in …, 2021 | 313 | 2021 |
Question Answering by Reasoning Across Documents with Graph Convolutional Networks N De Cao, W Aziz, I Titov NAACL 2019 - Conference of the North American Chapter of the Associationfor …, 2019 | 281 | 2019 |
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking MS Schlichtkrull, N De Cao, I Titov ICLR 2021 - Proceedings of the 9th International Conference on Learning …, 2020 | 237 | 2020 |
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 | 198 | 2024 |
Block Neural Autoregressive Flow N De Cao, I Titov, W Aziz UAI 2019 - 35th Conference on Uncertainty in Artificial Intelligence, 2019 | 139 | 2019 |
Explorations in Homeomorphic Variational Auto-Encoding L Falorsi, P de Haan, TR Davidson, N De Cao, M Weiler, P Forré, ... ICML 2018 workshop on Theoretical Foundations and Applications of Deep …, 2018 | 122 | 2018 |
Multilingual autoregressive entity linking N De Cao, L Wu, K Popat, M Artetxe, N Goyal, M Plekhanov, ... Transactions of the Association for Computational Linguistics 10, 274-290, 2022 | 116 | 2022 |
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking N De Cao, M Schlichtkrull, W Aziz, I Titov EMNLP 2020 - Proceedings of the 2020 Conference on Empirical Methods in …, 2020 | 79 | 2020 |
NeurIPS 2020 EfficientQA competition: Systems, analyses and lessons learned S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ... NeurIPS 2020 - Proceedings of the NeurIPS 2020 Competition and Demonstration …, 2021 | 72 | 2021 |
GenIE: Generative Information Extraction M Josifoski, N De Cao, M Peyrard, R West NAACL 2022 - Conference of the North American Chapter of the Association for …, 2021 | 57 | 2021 |
Highly Parallel Autoregressive Entity Linking with Discriminative Correction N De Cao, W Aziz, I Titov EMNLP 2021 - Proceedings of the 2021 Conference on Empirical Methods in …, 2021 | 39 | 2021 |
A Memory Efficient Baseline for Open Domain Question Answering G Izacard, F Petroni, L Hosseini, N De Cao, S Riedel, E Grave arXiv preprint arXiv:2012.15156, 2020 | 37 | 2020 |
The Power Spherical distribution N De Cao, W Aziz ICML 2020 - Proceedings of the 37th International Conference on Machine …, 2020 | 32 | 2020 |
Sparse Interventions in Language Models with Differentiable Masking N De Cao, L Schmid, D Hupkes, I Titov EMNLP 2021 - Proceedings of the 2021 Conference on Empirical Methods in …, 2021 | 22 | 2021 |
Querying large language models with SQL M Saeed, N De Cao, P Papotti arXiv preprint arXiv:2304.00472, 2023 | 19 | 2023 |