Scientific papers

Variational Lossy Autoencoder

Scaling Laws for Neural Language Models

Relational Recurrent Neural Networks

Recurrent Neural Network Regularization

Quantum Algorithms for Deep Convolutional Neural Networks

Pointer Networks

Order Matters Sequence to Sequence for Sets

Neural Turing Machines

Neural Message Passing for Quantum Chemistry

Neural Machine Translation by Jointly Learning to Align and Translate

Multi-Scale Context Aggregation by Dilated Convolutions

Machine Super Intelligence

Kolmogorov Complexity and Algorithmic Randomness

Keeping Neural Networks Simple by Minimizing the Description Length of the Weights

ImageNet Classification with Deep Convolutional Neural Networks

Identity Mappings in Deep Residual Networks

GPipe Easy Scaling with Micro-Batch Pipeline Parallelism

Deep Speech 2 End-to-End Speech Recognition in English and Mandarin

Deep Residual Learning for Image Recognition

Attention is All You Need

A Tutorial Introduction to the Minimum Description Length Principle

A Simple Neural Network Module for Relational Reasoning

Quantum Algorithms for Deep Convolutional Neural Networks