soneoka | Deep Learning JP - Part 22

Learning Transferable Features with Deep Adaptation Networks

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

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Feedforward Sequential Memory Neural Networks without Recurrent Feedback

Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

Seven neurons memorizing sequences of alphabetical images via spike-timing dependent plasticity

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Gradient-based Hyperparameter Optimization through Reversible Learning

‘A Neural Conversational Model’

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‘Compressing Neural Networks with the Hashing Trick’

‘Learning Sentiment-Speciﬁc Word Embedding for Twitter Sentiment Classiﬁcation’

‘Difference Target Propagation’

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