| 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 | 930 | 2018 |
| 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 | 406 | 2018 |
| 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 | 313 | 2020 |
| Autoregressive Entity Retrieval N De Cao, G Izacard, S Riedel, F Petroni ICLR 2021 - Proceedings of the 9th International Conference on Learning …, 2020 | 303 | 2020 |
| 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 | 260 | 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 | 175 | 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 | 152 | 2021 |
| Block Neural Autoregressive Flow N De Cao, I Titov, W Aziz UAI 2019 - 35th Conference on Uncertainty in Artificial Intelligence, 2019 | 124 | 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 | 110* | 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 | 86 | 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 | 64 | 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 | 61 | 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 | 31 | 2020 |
| 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 | 30 | 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 | 29 | 2021 |
| The Power Spherical distribution N De Cao, W Aziz ICML 2020 - Proceedings of the 37th International Conference on Machine …, 2020 | 22 | 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 | 9 | 2021 |
| Querying Large Language Models with SQL M Saeed, N De Cao, P Papotti arXiv preprint arXiv:2304.00472, 2023 | 4 | 2023 |
| Deep Generative Models for Graphs: VAEs, GANs, and reinforcement learning for de novo drug discovery N De Cao University of Amsterdam, 2018 | | 2018 |
Thomas KipfSenior Research Scientist, Google DeepMindVerified email at google.com
