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Adam: A Method for Stochastic Optimization
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Dropout: A Simple Way to Prevent Neural Networks from Overfitting
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Effective and Efficient Dropout for Deep Convolutional Neural Networks
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Towards Backward-Compatible Representation Learning
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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
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Graph Attention Networks
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Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
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