Awesome and Dark Tactics

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All Tags AWS algorithm-design architecture cloud-principles cost-reduction data-centric data-compression data-processing deployment design edge-computing energy-footprint hardware libraries locality machine-learning management measured migration model-optimization model-training performance queries rebuilding scaling services strategies template workloads

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Tactic(s) tagged with "model-optimization"

Consider Energy-Aware Pruning (AT)
Consider Graph Substitution (AT)
Consider Knowledge Distillation (AT)
Consider Transfer Learning (AT)
Enhance Model Sparsity (AT)
Set Energy Consumption as a Model Constraint (AT)

Contact person
Patricia Lago (VU Amsterdam)
disc at vu.nl
patricialago.nl

The Archive of Awesome and Dark Tactics (AADT) is an initiative of the Digital Sustainability Center (DiSC). It received funding from the VU Amsterdam Sustainability Institute, and is maintained by the S2 Group of the Vrije Universiteit Amsterdam.

Initial development of the Archive of Awesome and Dark Tactics by Robin van der Wiel