AI Wizards at EXIST 2026: Hierarchical Soft-Label Learning for Multimodal Sexism Identification in Memes
A multimodal sexism identification system for memes uses hierarchical conditional soft-label prediction with vision-language embeddings and a lightweight Gated MLP trained via KL d…
Hugging Face · Daily Papers
·Matteo Fasulo, Antonio Gravina
·
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Matteo Fasulo, Antonio Gravina, Luca Tedeschini, Luca Babboni
- 0 upvotes da comunidade
- Temas: vision-language representations, conditional soft-label prediction, empirical annotator distributions, Gated MLP, KL divergence, homoscedastic uncertainty weighting
Resumo
Resumo original (em inglês), extraído do paper:
A multimodal sexism identification system for memes uses hierarchical conditional soft-label prediction with vision-language embeddings and a lightweight Gated MLP trained via KL divergence and uncertainty weighting.Onde ler
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