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Found 4 papers, 3 papers with code
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions
Addressing this problem, we modularize a large search space into blocks with small search spaces and develop a family of models with the distilling neural architecture (DNA) techniques.
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning
Furthermore, the cascading learning of NeRF-VPT introduces adaptability to scenarios with sparse inputs, resulting in a significant enhancement of accuracy for sparse-view novel view synthesis.
PredNAS: A Universal and Sample Efficient Neural Architecture Search Framework
In this paper, we present a general and effective framework for Neural Architecture Search (NAS), named PredNAS.
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation
Moreover, we find that the knowledge of a network model lies not only in the network parameters but also in the network architecture.
Ranked #1 on
Neural Architecture Search
on CIFAR-100
