// COMPARISON

ENAS

A head-to-head benchmark comparison of ENAS across 0 evaluations.

The models

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Params
24M
Context
β€”
Released
Feb 2018

We propose Efficient Neural Architecture Search (ENAS), a fast and inexpensive approach for automatic model design. In ENAS, a controller learns to discover neu.

Full ENAS specs β†’

Benchmark comparison

No shared benchmark scores found for these models yet.

Frequently asked questions

How many benchmarks are compared? β–Ά

This comparison covers 0 benchmarks on which at least one of the selected models has a published score.

Where do the benchmark scores come from? β–Ά

Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.

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