ProxylessNAS
ProxylessNAS
**ProxylessNAS** directly learns neural network architectures on the target task and target hardware without any proxy task. Additional contributions include:

- Using a new path-level pruning perspective for [neural architecture search](https://paperswithcode.com/method/neural-architecture-search), showing a close connection between NAS and model compression. Memory consumption is saved by one order of magnitude by using path-level binarization.
- Using a novel gradient-based approach (latency regularization loss) for handling hardware objectives (e.g. latency). Given different hardware platforms: CPU/GPU/Mobile, ProxylessNAS enables hardware-aware neural network specialization that’s exactly optimized for the target hardware.
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
https://paperswithcode.com/paper/proxylessnas-direct-neural-architecture
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware