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Found 2 papers, 2 papers with code
Transcending the Attention Paradigm: Representation Learning from Geospatial Social Media Data
While transformers have pioneered attention-driven architectures as a cornerstone of language modeling, their dependence on explicitly contextual information underscores limitations in their abilities to tacitly learn overarching textual themes.
Leveraging Contextual Data Augmentation for Generalizable Melanoma Detection
This paper challenges this notion and argues that mole size, a critical attribute in professional dermatology, can be misleading in automated melanoma detection.
Ranked #1 on
Skin Cancer Classification
on ISIC 2017
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