Apr 12, 2019 · In this paper, we study the problem of unifying knowledge from a set of classifiers with different architectures and target classes into a single classifier.
In this paper, we study the problem of unifying knowl- edge from a set of classifiers with different architectures and.
In this paper, we study the problem of unifying knowl- edge from a set of classifiers with different architectures and.
In this paper, we study the problem of unifying knowledge from a set of classifiers with different architectures and target classes into a single classifier ...
Two classes of methods based on cross-entropy minimisation and matrix factorisation are proposed, which allow us to estimate soft labels over all classes ...
Unifying Heterogeneous Classifiers with Distillation. Supplementary Material. Jayakorn Vongkulbhisal1, Phongtharin Vinayavekhin1, Marco Visentini-Scarzanella2.
Sep 11, 2024 · In this paper, we study the problem of unifying knowledge from a set of classifiers with different architectures and target classes into a ...
A fingerprinting‐based indoor localization system using intensity modulation of light emitting diodes · Unifying heterogeneous classifiers with distillation.
Multilingual Neural Machine Translation with Knowledge Distillation. ICLR 2019; Unifying Heterogeneous Classifiers with Distillation. Vongkulbhisal et al ...
We study the cross-architecture distillation and propose a OFA-KD method to get better performance on teacher-student belonging to different architectures.
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