… hierarchical multi-attention knowledge transfer by utilizing each attention knowledge with
the adaptively learned weight to be distilled at different layers during the distillation training …

… The approach that utilizes distillation technique to conduct knowledge transfer for multi-task …
tolerance towards negative transfer. Second, we propose hierarchical prioritized experience …

… distillation framework by leveraging the architectural auxiliary classifiers, facilitating
comprehensive knowledge transfer and alleviating the mismatch problem of abstraction levels when …

… The visual-textual hierarchical … the knowledge at a high level of the hierarchical network.
We further propose semantic-level knowledge distillation, attention-level knowledge transfer …

… a Hierarchical Distillation Learning approach for more discriminating knowledge transfer …
largely facilitates the knowledge distillation by avoiding knowledge transfer between structure …

… an adaptive hierarchy-branch fusion module to create hierarchical teacher assistants …
hierarchical teacher assistants, we construct two kinds of distillation losses for knowledge transfer …

… knowledge gap. It facilitates comprehensive knowledge transfer from hierarchical feature
maps. … success of the self-supervision augmented task, we consider distilling self-supervision …

… ensemble distillation scheme with serverassisted knowledge selection, … knowledge transfer
mechanism and a weighted ensemble distillation scheme with serverassisted knowledge …

… framework for knowledge transfer which formulates knowledge transfer as maximizing the …
with existing knowledge transfer methods on both knowledge distillation and transfer learning …

… We focus on solving two problems: knowledge transfer from a labeled domain to a new … we
propose a hierarchical knowledge distillation strategy to mitigate the knowledge gap between …