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BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models.

, , , , , , , , , and . ECCV (7), volume 12352 of Lecture Notes in Computer Science, page 702-717. Springer, (2020)

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Don't decay the learning rate, increase the batch size, , , and . arXiv preprint arXiv:1711.00489, (2017)Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS., , , , , , and . CVPR, page 14311-14320. Computer Vision Foundation / IEEE, (2020)Discovering Multi-Hardware Mobile Models via Architecture Search., , , , , , , , , and . CVPR Workshops, page 3022-3031. Computer Vision Foundation / IEEE, (2021)Neural Predictor for Neural Architecture Search., , , , , and . CoRR, (2019)Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions., , , , , , , , and . ICLR, OpenReview.net, (2023)The (Un)reliability of saliency methods., , , , , , , and . CoRR, (2017)Learning how to explain neural networks: PatternNet and PatternAttribution., , , , , , and . ICLR (Poster), OpenReview.net, (2018)Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller., , , and . ICANN (1), volume 7552 of Lecture Notes in Computer Science, page 661-668. Springer, (2012)A Benchmark for Interpretability Methods in Deep Neural Networks., , , and . NeurIPS, page 9734-9745. (2019)Transfer learning of gaits on a quadrupedal robot., , , , and . Adaptive Behaviour, 23 (2): 69-82 (2015)