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Best Practices for Fine-Tuning Visual Classifiers to New Domains.

, , , , and . ECCV Workshops (3), volume 9915 of Lecture Notes in Computer Science, page 435-442. (2016)

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BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling., , , , , , and . CoRR, (2018)Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning., , , , , and . CoRR, (2017)DECORE: Deep Compression with Reinforcement Learning., , and . CoRR, (2021)Best Practices for Fine-Tuning Visual Classifiers to New Domains., , , , and . ECCV Workshops (3), volume 9915 of Lecture Notes in Computer Science, page 435-442. (2016)Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents., , , , , and . CoRR, (2017)Scaling MAP-Elites to deep neuroevolution., , , and . GECCO, page 67-75. ACM, (2020)An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents., , , , , , , , , and 1 other author(s). IJCAI, page 3260-3267. ijcai.org, (2019)DECORE: Deep Compression with Reinforcement Learning., , and . CVPR, page 12339-12349. IEEE, (2022)An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents., , , , , , , , , and . CoRR, (2018)Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents., , , , , and . NeurIPS, page 5032-5043. (2018)