| Tucker: Tensor factorization for knowledge graph completion I Balažević, C Allen, TM Hospedales arXiv preprint arXiv:1901.09590, 2019 | 513 | 2019 |
| Multi-relational poincaré graph embeddings I Balazevic, C Allen, T Hospedales Advances in Neural Information Processing Systems 32, 2019 | 206 | 2019 |
| Hypernetwork Knowledge Graph Embeddings I Balažević, C Allen, TM Hospedales International Conference on Artificial Neural Networks, 553-565, 2019 | 155 | 2019 |
| Cutting down on prompts and parameters: Simple few-shot learning with language models RL Logan IV, I Balažević, E Wallace, F Petroni, S Singh, S Riedel arXiv preprint arXiv:2106.13353, 2021 | 61 | 2021 |
| Interpreting Knowledge Graph Relation Representation from Word Embeddings C Allen, I Balaževic, T Hospedales International Conference on Learning Representations, 2021 | 26* | 2021 |
| What the Vec? Towards Probabilistically Grounded Embeddings C Allen, I Balazevic, T Hospedales Advances in Neural Information Processing Systems, 7465-7475, 2019 | 24 | 2019 |
| Benchmark and best practices for biomedical knowledge graph embeddings D Chang, I Balažević, C Allen, D Chawla, C Brandt, RA Taylor Proceedings of the conference. Association for Computational Linguistics …, 2020 | 18 | 2020 |
| Language detection for short text messages in social media I Balazevic, M Braun, KR Müller arXiv preprint arXiv:1608.08515, 2016 | 15 | 2016 |
| A Probabilistic Model for Discriminative and Neuro-Symbolic Semi-Supervised Learning C Allen, I Balažević, T Hospedales arXiv preprint arXiv:2006.05896, 2020 | 3 | 2020 |
| Learning representations of entities and relations I Balažević arXiv preprint arXiv:2201.13073, 2022 | | 2022 |
| Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows I Balažević, C Allen, T Hospedales arXiv preprint arXiv:2007.02745, 2020 | | 2020 |
Carl AllenETH AI Centre, ETH ZürichVerified email at inf.ethz.ch
