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
The results suggest context learning hinges on not only content acquisition but also specification acquisition, and designs a deliberately simple intervention PSCI (private specification-contract induction) which extracts local specifications and enforces them through adversarial checking and repair.
Jike Zhong, Ming Li, Yuxiang Lai et al.· 1 citation
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