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Unsupervised Video Summarization with Adversarial LSTM Networks.

, , and . CVPR, page 2982-2991. IEEE Computer Society, (2017)

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Learning to Detect Basal Tubules of Nematocysts in SEM Images., , , , , , and . ICCV Workshops, page 190-196. IEEE Computer Society, (2013)Zero-Shot Learning and Detection of Teeth in Images of Bat Skulls., , , , , , , and . ICCV Workshops, page 203-209. IEEE Computer Society, (2013)Unsupervised Video Summarization with Adversarial LSTM Networks., , and . CVPR, page 2982-2991. IEEE Computer Society, (2017)Fine-Grained Recognition as HSnet Search for Informative Image Parts., , and . CVPR, page 6497-6506. IEEE Computer Society, (2017)Task2Vec: Task Embedding for Meta-Learning., , , , , , , and . ICCV, page 6429-6438. IEEE, (2019)Rethinking the Hyperparameters for Fine-tuning., , , , , , and . ICLR, OpenReview.net, (2020)The NANOGrav Nine-year Data Set: Limits on the Isotropic Stochastic Gravitational Wave Background, , , , , , , , , and 38 other author(s). (2015)cite arxiv:1508.03024Comment: 21 pages, 12 figures. Please send any comments/questions to justin.ellis18@gmail.com.ℋC-search for structured prediction in computer vision., , , and . CVPR, page 4923-4932. IEEE Computer Society, (2015)Searching For Gravitational Waves From Cosmological Phase Transitions With The NANOGrav 12.5-year dataset, , , , , , , , , and 55 other author(s). (2021)cite arxiv:2104.13930Comment: 13 pages, 4 figures.The NANOGrav 15-year Data Set: Evidence for a Gravitational-Wave Background, , , , , , , , , and 104 other author(s). (2023)cite arxiv:2306.16213Comment: 30 pages, 18 figures. Published in Astrophysical Journal Letters as part of Focus on NANOGrav's 15-year Data Set and the Gravitational Wave Background. For questions or comments, please email comments@nanograv.org.