Recurrent Neural Network Regularization
Paper
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1409.2329
•
Published
Ilya 30u30 (Partial)
A selection of papers recommended by Ilya Sutskever to be up-to-speed on the bleeding edge in AI (at least the ones with ArXiv links).
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Pointer Networks
Paper • 1506.03134 • Published -
Order Matters: Sequence to sequence for sets
Paper • 1511.06391 • Published -
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
Paper • 1811.06965 • Published -
Deep Residual Learning for Image Recognition
Paper • 1512.03385 • Published • 6 -
Multi-Scale Context Aggregation by Dilated Convolutions
Paper • 1511.07122 • Published -
Neural Message Passing for Quantum Chemistry
Paper • 1704.01212 • Published • 1 -
Attention Is All You Need
Paper • 1706.03762 • Published • 44 -
Neural Machine Translation by Jointly Learning to Align and Translate
Paper • 1409.0473 • Published • 4 -
Identity Mappings in Deep Residual Networks
Paper • 1603.05027 • Published • 3 -
A simple neural network module for relational reasoning
Paper • 1706.01427 • Published • 1 -
Variational Lossy Autoencoder
Paper • 1611.02731 • Published • 1 -
Relational recurrent neural networks
Paper • 1806.01822 • Published • 1 -
Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton
Paper • 1405.6903 • Published • 1 -
Neural Turing Machines
Paper • 1410.5401 • Published • 1 -
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Paper • 1512.02595 • Published • 1