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Found 2 papers, 1 papers with code
Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition
Secondly, we design a detached action-aware learning schedule to further mitigate the bias in the representation space.
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
Attributes skew hinders the current federated learning (FL) frameworks from consistent optimization directions among the clients, which inevitably leads to performance reduction and unstable convergence.
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