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07/09/2023
Carbon-Efficient Neural Architecture Search
This work presents a novel approach to neural architecture search (NAS) ...
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10/07/2021
Multi-objective Optimization by Learning Space Partitions
In contrast to single-objective optimization (SOO), multi-objective opti...
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06/11/2020
Few-shot Neural Architecture Search
To improve the search efficiency for Neural Architecture Search (NAS), O...
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11/21/2018
SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks
The performance and efficiency of distributed training of Deep Neural Ne...
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05/18/2018
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search
We present AlphaX, a fully automated agent that designs complex neural a...
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01/13/2018