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Evaluating the Search Phase of Neural Architecture Search

, , , , and . (2019)cite arxiv:1902.08142Comment: We find that random policy in NAS works amazingly well and propose an evaluation framework to have a fair comparison. 8 pages.

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Context-Aware Crowd Counting., , and . CoRR, (2018)Joint Dimensionality Reduction and Metric Learning: A Geometric Take., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1404-1413. PMLR, (2017)Statistically-Motivated Second-Order Pooling., and . ECCV (7), volume 11211 of Lecture Notes in Computer Science, page 621-637. Springer, (2018)A Closed-Form Solution to Local Non-Rigid Structure-from-Motion., , , and . CoRR, (2020)Estimating People Flows to Better Count Them in Crowded Scenes., , and . ECCV (15), volume 12360 of Lecture Notes in Computer Science, page 723-740. Springer, (2020)Volumetric Transformer Networks., , and . ECCV (28), volume 12373 of Lecture Notes in Computer Science, page 561-578. Springer, (2020)Structured Depth Prediction in Challenging Monocular Video Sequences., , and . CoRR, (2015)Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation., , and . ICCV, page 14061-14071. IEEE, (2023)Generating Smooth Pose Sequences for Diverse Human Motion Prediction., , and . ICCV, page 13289-13298. IEEE, (2021)SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation., , , and . AAAI, page 2020-2028. AAAI Press, (2021)