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Yan Zhang
Yan Zhang
Samsung - SAIT AI Lab Montreal
Verified email at samsung.com - Homepage
Title
Cited by
Cited by
Year
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
2402018
Deep Set Prediction Networks
Y Zhang, J Hare, A Prügel-Bennett
Advances in Neural Information Processing Systems 32, 2019
1142019
FSPool: Learning Set Representations with Featurewise Sort Pooling
Y Zhang, J Hare, A Prügel-Bennett
International Conference on Learning Representations 2020, 2020
842020
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
292023
Learning Representations of Sets through Optimized Permutations
Y Zhang, J Hare, A Prügel-Bennett
International Conference on Learning Representations 2019, 2019
292019
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
182020
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
122022
PopulAtion Parameter Averaging (PAPA)
A Jolicoeur-Martineau, E Gervais, K Fatras, Y Zhang, S Lacoste-Julien
Transactions on Machine Learning Research, 2024
62024
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
62023
Neural Networks Are Graphs! Graph Neural Networks for Equivariant Processing of Neural Networks
DW Zhang, M Kofinas, Y Zhang, Y Chen, GJ Burghouts, CGM Snoek
2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning …, 2023
42023
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
22024
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
22023
Object-centric architectures enable efficient causal representation learning
A Mansouri, J Hartford, Y Zhang, Y Bengio
International Conference on Learning Representations 2024, 2024
12024
Improved Generalization of Weight Space Networks via Augmentations
A Shamsian, A Navon, DW Zhang, Y Zhang, E Fetaya, G Chechik, ...
arXiv preprint arXiv:2402.04081, 2024
12024
Data Augmentations in Deep Weight Spaces
A Shamsian, DW Zhang, A Navon, Y Zhang, M Kofinas, I Achituve, ...
Workshop on Symmetry and Geometry in Neural Representations, 2023
2023
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