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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

Understanding Black-box Predictions via Influence Functions

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Language as a Latent Variable: Discrete Generative Models for Sentence Compression

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YOLO9000: Better, Faster, Stronger

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Reward Augmented Maximum Likelihood for Neural Structured Prediction

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Asymmetric Tri-training for Unsupervised Domain Adaptation

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Learning model-based planning from scratch

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Imagination-Augmented Agents for Deep Reinforcement Learning

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Train longer, generalize better: closing the generalization gap in large batch training of neural networks

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Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

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Attention Is All You Need

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