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 Deep Learning





Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition

Neural Information Processing Systems

Synthetic face recognition (SFR) aims to generate synthetic face datasets that mimic the distribution of real face data, which allows for training face recognition models in a privacy-preserving manner.


Can Transformers Smell Like Humans?

Neural Information Processing Systems

In this work, we ask the question of whether pre-trained transformer models of chemical structures encode representations that are aligned with human olfactory perception, i.e., can transformers smell like humans?