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Found 5 papers, 1 papers with code
Terrain Point Cloud Inpainting via Signal Decomposition
The rapid development of 3D acquisition technology has made it possible to obtain point clouds of real-world terrains.
Efficient Evaluation Methods for Neural Architecture Search: A Survey
In surveying each category, we further discuss the design principles and analyze the strength and weaknesses to clarify the landscape of existing EEMs, thus making easily understanding the research trends of EEMs.
Differentiable Search of Accurate and Robust Architectures
Deep neural networks (DNNs) are found to be vulnerable to adversarial attacks, and various methods have been proposed for the defense.
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism
Performance predictors can greatly alleviate the prohibitive cost of NAS by directly predicting the performance of DNNs.
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search
The paper conducts efficient comparison experiments on eight ENAS algorithms with high GPU utilization on this platform.
