To this end, we propose hardware-aware learning to optimize (HALO), a practical meta optimizer dedicated to resource-efficient on-device adaptation. Our HALO ...
Nov 5, 2020 · We propose hardware-aware learning to optimize (HALO), a practical meta optimizer dedicated to resource-efficient on-device adaptation.
HALO: Hardware-Aware Learning to Optimize · Step 1: Prepare pre-trained model · Step 2: Train optimizer · Step 3: Test the adaption performance ...
Duration: 14:09
Posted: Nov 11, 2020
Posted: Nov 11, 2020
To this end, we propose hardware-aware learning to optimize (HALO), a practical meta optimizer dedicated to resource-efficient on-device adaptation.
In this work, we design a hardware-aware low-precision federated training framework (HaLo- FL) tailored to heterogeneous resource-constrained de-vices.
HALO: Hardware-aware learning to optimize. C Li, T Chen, H You, Z Wang, Y Lin. ECCV 2020, 500-518, 2020. 26, 2020. DNA: Differentiable network-accelerator co ...
HALO: Hardware-Aware Learning to Optimize In ECCV 2020 (Acceptance rate: 27%) C. Li, T. Chen, H. You, Z. Wang, Y. Lin [Paper] · image. SmartExchange: Trading ...
Learning to optimize (L2O) is an emerging approach that leverages machine learning to develop optimization methods, aiming at reducing the laborious iterations ...
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