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Found 2 papers, 1 papers with code
Penny-Wise and Pound-Foolish in Deepfake Detection
This paper critiques the overly specialized approach of fine-tuning pre-trained models solely with a penny-wise objective on a single deepfake dataset, while disregarding the pound-wise balance for generalization and knowledge retention.
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models
AutoGluon-Multimodal (AutoMM) is introduced as an open-source AutoML library designed specifically for multimodal learning.
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