6 citations · 11 across the 21 of their papers we have counts for
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cs.LG2024
Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models
Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran +6
With models getting stronger, evaluations have grown more complex, testing multiple skills in one benchmark and even in the same instance at once. However, skill-wise performance i…
cs.CV2024
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images
Chris Hamblin, Thomas Fel, Srijani Saha +2
Efforts to decode neural network vision models necessitate a comprehensive grasp of both the spatial and semantic facets governing feature responses within images. Most research ha…