Search Results for author: Harris Teague

Found 3 papers, 1 papers with code

Moccasin: Efficient Tensor Rematerialization for Neural Networks

no code implementations27 Apr 2023 Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina

The deployment and training of neural networks on edge computing devices pose many challenges.


Neural Topological Ordering for Computation Graphs

no code implementations13 Jul 2022 Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Herke van Hoof, Weiliang Will Zeng, Piero Zappi, Christopher Lott, Roberto Bondesan

Recent works on machine learning for combinatorial optimization have shown that learning based approaches can outperform heuristic methods in terms of speed and performance.

BIG-bench Machine Learning Combinatorial Optimization

SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures

1 code implementation19 Jun 2019 Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shi-Yu Li, Harris Teague, Hai Li, Yiran Chen

Designing neural architectures for edge devices is subject to constraints of accuracy, inference latency, and computational cost.

Neural Architecture Search

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