| Learning to count objects in natural images for visual question answering Y Zhang, J Hare, A Prügel-Bennett International Conference on Learning Representations 2018, 2018 | 245 | 2018 |
| Deep Set Prediction Networks Y Zhang, J Hare, A Prügel-Bennett Advances in Neural Information Processing Systems 32, 2019 | 121 | 2019 |
| FSPool: Learning Set Representations with Featurewise Sort Pooling Y Zhang, J Hare, A Prügel-Bennett International Conference on Learning Representations 2020, 2020 | 88 | 2020 |
| Equivariance with Learned Canonicalization Functions SO Kaba*, AK Mondal*, Y Zhang, Y Bengio, S Ravanbakhsh Proceedings of the 40th International Conference on Machine Learning, 2023 | 49 | 2023 |
| Learning Representations of Sets through Optimized Permutations Y Zhang, J Hare, A Prügel-Bennett International Conference on Learning Representations 2019, 2019 | 28 | 2019 |
| Graph Neural Networks for Learning Equivariant Representations of Neural Networks M Kofinas, B Knyazev, Y Zhang, Y Chen, GJ Burghouts, E Gavves, ... International Conference on Learning Representations 2024, 2024 | 19* | 2024 |
| Better Set Representations For Relational Reasoning Q Huang, H He, A Singh, Y Zhang, SN Lim, A Benson Advances in Neural Information Processing Systems 33, 2020 | 18 | 2020 |
| Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Y Zhang*, DW Zhang*, S Lacoste-Julien, GJ Burghouts, CGM Snoek International Conference on Learning Representations 2022, 2022 | 15 | 2022 |
| PopulAtion Parameter Averaging (PAPA) A Jolicoeur-Martineau, E Gervais, K Fatras, Y Zhang, S Lacoste-Julien Transactions on Machine Learning Research, 2024 | 11 | 2024 |
| Unlocking Slot Attention by Changing Optimal Transport Costs Y Zhang*, DW Zhang*, S Lacoste-Julien, GJ Burghouts, CGM Snoek Proceedings of the 40th International Conference on Machine Learning, 2023 | 8 | 2023 |
| CrossSplit: Mitigating Label Noise Memorization through Data Splitting J Kim, A Baratin, Y Zhang, S Lacoste-Julien Proceedings of the 40th International Conference on Machine Learning, 2023 | 6 | 2023 |
| Improved Generalization of Weight Space Networks via Augmentations A Shamsian, A Navon, DW Zhang, Y Zhang, E Fetaya, G Chechik, ... Proceedings of the 41st International Conference on Machine Learning, 2024 | 5* | 2024 |
| Object-centric architectures enable efficient causal representation learning A Mansouri, J Hartford, Y Zhang, Y Bengio International Conference on Learning Representations 2024, 2024 | 5 | 2024 |
| Unsupervised Concept Discovery Mitigates Spurious Correlations MR Arefin, Y Zhang, A Baratin, F Locatello, I Rish, D Liu, K Kawaguchi Proceedings of the 41st International Conference on Machine Learning, 2024 | 3 | 2024 |
| Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees A Jolicoeur-Martineau, A Baratin, K Kwon, B Knyazev, Y Zhang arXiv preprint arXiv:2407.09357, 2024 | | 2024 |
Jonathon HareProfessor of Machine Learning and Computer Vision, University of Southampton, United KingdomVerified email at ecs.soton.ac.uk
