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New methods accelerate Neural Architecture Search with reduced computational cost · 3 sources tracked

Researchers have developed new methods to improve Neural Architecture Search (NAS), a process that can be computationally expensive. One approach, RiPPLE, uses partial training data from a small set of anchor architectu…