[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
翻译 - [ICLR 2019] ProxylessNAS：直接在目标任务和硬件上进行神经体系结构搜索。
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
#自然语言处理#[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
#计算机科学#Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)
#计算机科学#TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation
#计算机科学#[SIGMETRICS 2022] One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
#计算机科学#pipeDejavu: Hardware-aware Latency Predictable, Differentiable Search for Faster Config and Convergence of Distributed ML Pipeline Parallelism
Generating neural networks for diverse networking classification tasks via hardware-aware neural architecture search, Transactions on Computers 2023