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Mei Gao

2 accepted papers

2023

i-Code: An Integrative and Composable Multimodal Learning Framework

AAAI 2023technical

Human intelligence is multimodal; we integrate visual, linguistic, and acoustic signals to maintain a holistic worldview. Most current pretraining methods, however, are limited to one or two modalities. We present i-Code, a self-supervised pretraining framework where users may flexibly combine the m…

2022

Efficient Self-supervised Vision Transformers for Representation Learning

ICLR 2022poster

This paper investigates two techniques for developing efficient self-supervised vision transformers (EsViT) for visual representation learning. First, we show through a comprehensive empirical study that multi-stage architectures with sparse self-attentions can significantly reduce modeling complexi…