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  • home
    • members
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  • Lectures
    • Deep Learning基礎講座
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    •  Deep Learning実践開発講座
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Category:

Estimating Predictive Uncertainty via Prior Networks

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Deterministic Variational Inference for RobustBayesian Neural Networks (ICLR2019)

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Are Sixteen Heads Really Better than One?

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EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

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ドメイン転移と不変表現に関するサーベイ

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Randomized Prior Functions for Deep Reinforcement Learning

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Objects as Points

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Peeking into the Future: Predicting Future Person Activities and Locations in Videos

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Pyramid Stereo Matching Network

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Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks

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