4 citations · 7 across the 3 of their papers we have counts for
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cs.CV2023★ 3 cited
Understanding Prompt Tuning for V-L Models Through the Lens of Neural Collapse
Didi Zhu, Zexi Li, Min Zhang +6
Large-scale vision-language (V-L) models have demonstrated remarkable generalization capabilities for downstream tasks through prompt tuning. However, the mechanisms behind the lea…
cs.CV2022★ 4 cited
Domain Generalization via Contrastive Causal Learning
Qiaowei Miao, Junkun Yuan, Kun Kuang
Domain Generalization (DG) aims to learn a model that can generalize well to unseen target domains from a set of source domains. With the idea of invariant causal mechanism, a lot…