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Learning to Generate Reviews and Discovering Sentiment

This paper explores the properties of byte-level recurrent language models and finds a single unit that performs sentiment analysis. It demonstrates that the sentiment un...

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Neural Turing Machines

The paper introduces Neural Turing Machines (NTMs), which augment neural networks with external memory resources that they can interact with through attentional processes...

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Deep Learning is Not So Mysterious or Different

This paper argues that anomalous generalization behaviors like benign overfitting and double descent are not unique to deep neural networks and can be understood through ...

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Scaling Laws for Neural Language Models

This paper studies empirical scaling laws for language model performance on the cross-entropy loss, showing that the loss scales as a power-law with model size, dataset s...

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VARIATIONAL LOSSY AUTOENCODER

The paper introduces Variational Lossy Autoencoder(VLAE), a simple and principled method to learn such global representations by combining Variational Autoencoder (VAE) w...

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