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A matrix-valued optimizer that preserves the singular subspaces of the gradient while applying a bounded, monotone sigmoid transformation to its singular values is introduced, and the effectiveness and robustness of Soren against established optimizers are demonstrated.
This work proposes a disentanglement-based intervention framework, termed IB-ACT, that identifies both where and how to intervene by exploiting the layer-wise geometry of representation spaces to isolate behavior-relevant information without disturbing other dimensions, and introduces a layer-selection mechanism determ...
This work proposes a disentanglement-based intervention framework, termed IB-ACT, that identifies both where and how to intervene by exploiting the layer-wise geometry of representation spaces to isolate behavior-relevant information without disturbing other dimensions, and introduces a layer-selection mechanism determ...
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