Data selection reallocates training support across visual concepts, including objects, attributes, color, texture, and backgrounds. Different allocation strategies may produce varied downstream model behavior, especially for tail concepts supported by only a few samples. Discarding them can hurt test-time robustness, w...
Zi-Heng Zhang, Neha Hulkund, Colin Lee et al.· 0 citations
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