NAS-Bench-101
PulseAugur coverage of NAS-Bench-101 — every cluster mentioning NAS-Bench-101 across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New DTA-GT model enhances neural architecture search with directional awareness
Researchers have developed DTA-GT, a novel Direction- and Topology-Aware Graph Transformer designed to improve neural network representation learning. This model addresses the challenge of representing neural architectu…
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EGO framework generates diverse discrete designs 50x faster
Researchers have developed EGO (Evolutionary Generators with One-step inference), a new framework for efficiently generating diverse and valid discrete designs. This method trains compact generators that produce entire …
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ZAPS pipeline enhances Neural Architecture Search by combining proxy signals and topology
Researchers have developed ZAPS, a novel four-stage pipeline designed to improve Neural Architecture Search (NAS) by efficiently combining proxy signals with architectural topology. This method addresses the limitations…
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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…