AutoPoly-HE: Autonomous Design of Polynomial Activations for Privacy-Preserving Encrypted Inference
AutoPoly-HE automatically designs polynomial activations for encrypted inference across ResNet and Vision Transformer models.
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AutoPoly-HE automatically designs polynomial activations for encrypted inference across ResNet and Vision Transformer models.
ProtoSeam lifts classifier training with class prototypes, gaining up to five points without changing inference.
Entities are extracted by the model from each article. First seen , last mentioned . Watching keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.
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