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  • home
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    • Deep Learning基礎講座
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    •  Deep Learning実践開発講座
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カテゴリー: papers

Libra R-CNN: Towards Balanced Learning for Object Detection

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Approximating CNNs with Bag-of-local-Featuresn models works surprisingly well on ImageNet

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AutoAugment: LearningAugmentation Strategies from Data & Learning DataAugmentation Strategies for Object Detection

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Shaping Belief States with Generative Environment Models for RL

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Model-Based Reinforcement Learning via Meta-Policy Optimization

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Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning

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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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