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Neural Architecture Search

270 papers with code · Methodology
Subtask of AutoML

Benchmarks

Latest papers with code

Improving Random-Sampling Neural Architecture Search by Evolving the Proxy Search Space

ICLR 2021 IcLr2020SuBmIsSiOn/EPS

This raises the question of whether we can find an effective proxy search space (PS) that is only a small subset of GS to dramatically improve RandomNAS’s search efficiency while at the same time keeping a good correlation for the top-performing architectures.

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH

1
01 Jan 2021

Toward Synergism in Macro Action Ensembles

ICLR 2021 MacroEnsemble/ICLR_2021_Code

Macro actions have been demonstrated to be beneficial for the learning processes of an agent.

NEURAL ARCHITECTURE SEARCH

0
01 Jan 2021

Optimal Subarchitecture Extraction For BERT

20 Oct 2020alexa/bort

We extract an optimal subset of architectural parameters for the BERT architecture from Devlin et al. (2018) by applying recent breakthroughs in algorithms for neural architecture search.

NATURAL LANGUAGE UNDERSTANDING NEURAL ARCHITECTURE SEARCH

19
20 Oct 2020

ABC-Di: Approximate Bayesian Computation for Discrete Data

19 Oct 2020IlzeAmandaA/ABCdiscrete

The obtained results indicate the high potential of the proposed framework and the superiority of the new Markov kernel.

NEURAL ARCHITECTURE SEARCH

2
19 Oct 2020

ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding

13 Oct 2020iboing/ISTA-NAS

By doing so, our network for search at each update satisfies the sparsity constraint and is efficient to train.

NEURAL ARCHITECTURE SEARCH

3
13 Oct 2020

RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning

14 Sep 2020EMI-Group/RelativeNAS

Despite the remarkable successes of Convolutional Neural Networks (CNNs) in computer vision, it is time-consuming and error-prone to manually design a CNN.

KEYPOINT DETECTION NEURAL ARCHITECTURE SEARCH OBJECT DETECTION SEMANTIC SEGMENTATION

14
14 Sep 2020

S3NAS: Fast NPU-aware Neural Architecture Search Methodology

4 Sep 2020cap-lab/S3NAS

In this paper, we present a fast NPU-aware NAS methodology, called S3NAS, to find a CNN architecture with higher accuracy than the existing ones under a given latency constraint.

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH

5
04 Sep 2020

Understanding the wiring evolution in differentiable neural architecture search

2 Sep 2020SNAS-Series/SNAS-Series

To this end, we pose questions that future differentiable methods for neural wiring discovery need to confront, hoping to evoke a discussion and rethinking on how much bias has been enforced implicitly in existing NAS methods.

NEURAL ARCHITECTURE SEARCH

82
02 Sep 2020