Scholar
Yan Zhang
Google Scholar ID: XtCqbfEAAAAJ
Samsung AI Lab Montreal
Citations & Impact
Citations
838
H-index
13
i10-index
14
Publications
17
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- - Unlocking Slot Attention by Changing Optimal Transport Costs. ICML 2023
- - CrossSplit: Mitigating Label Noise Memorization through Data Splitting. ICML 2023
- - Equivariance with Learned Canonicalization Functions. ICML 2023
- - Multiset-equivariant set prediction with approximate implicit differentiation. ICLR 2022
- - Better set representations for relational reasoning. NeurIPS 2020
- - Deep set prediction networks. NeurIPS 2019
- - FSPool: Learning set representations with featurewise sort pooling. ICLR 2020
- - Learning Representations of Sets through Optimized Permutations. ICLR 2019
- - Learning to count objects in natural images for visual question answering. ICLR 2018
Research Experience
- Position: Research Scientist at Samsung - SAIT AI Lab, Montreal
Background
- Research interests: deep learning with structured objects (like sets) and their equivariance properties. Currently a research scientist at Samsung - SAIT AI Lab, Montreal, which is located within Mila.
