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Long-tail Recognition via Compositional Knowledge Transfer
In this work, we introduce a novel strategy for long-tail recognition that addresses the tail classes' few-shot problem via training-free knowledge transfer.
Better transfer learning with inferred successor maps
Humans and animals show remarkable flexibility in adjusting their behaviour when their goals, or rewards in the environment change.
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