[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
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Updated
Aug 30, 2024 - C++
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)
TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation
[SIGMETRICS 2022] One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
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
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