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Yan Zhang
Yan Zhang
Samsung - SAIT AI Lab Montreal
Dirección de correo verificada de samsung.com - Página principal
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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
2532018
Deep Set Prediction Networks
Y Zhang, J Hare, A Prügel-Bennett
Advances in Neural Information Processing Systems 32, 2019
1282019
FSPool: Learning Set Representations with Featurewise Sort Pooling
Y Zhang, J Hare, A Prügel-Bennett
International Conference on Learning Representations 2020, 2020
942020
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
672023
Learning Representations of Sets through Optimized Permutations
Y Zhang, J Hare, A Prügel-Bennett
International Conference on Learning Representations 2019, 2019
312019
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
29*2024
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
202022
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
202020
PopulAtion Parameter Averaging (PAPA)
A Jolicoeur-Martineau, E Gervais, K Fatras, Y Zhang, S Lacoste-Julien
Transactions on Machine Learning Research, 2024
162024
Object-centric architectures enable efficient causal representation learning
A Mansouri, J Hartford, Y Zhang, Y Bengio
International Conference on Learning Representations 2024, 2024
122024
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
10*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
82023
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
72023
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
52024
Improving Equivariant Networks with Probabilistic Symmetry Breaking
H Lawrence, V Portilheiro, Y Zhang, SO Kaba
International Conference on Learning Representations 2024, 2025
22025
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
12024
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