30/30 AI PAPER LIST

---

1993 - Keeping Neural Networks Simple By Minimizing the Description Length of the Weights
2004 - A Tutorial Introduction to the Minimum Description Length Principle
2008 - Machine Super Intelligence
2011 - The First Law of Complexodynamics
2012 - ImageNet Classification with Deep Convolutional Neural Networks
2014 - Neural Turing Machines
2014 - Quantifying the Rise and Fall of Complexity in Closed Systems
2015 - Deep Residual Learning for Image Recognition
2015 - Neural Machine Translation by Jointly Learning to Align and Translate
2015 - Pointer Networks
2015 - Recurrent Neural Network Regularization
2015 - The Unreasonable Effectiveness of Recurrent Neural Networks
2015 - Understanding LSTM Networks
2016 - Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
2016 - Identity Mappings in Deep Residual Networks
2016 - Multi-Scale Context Aggregation by Dilated Convolutions
2016 - Order Matters: Sequence to sequence for sets
2016 - Variational Lossy Autoencoder
2017 - A Simple Neural Network Module for Relational Reasoning
2017 - Attention is All You Need
2017 - Kolmogorov Complexity and Algorithmic Randomness
2017 - Neural Message Passing for Quantum Chemistry
2018 - Relational Recurrent Neural Networks
2019 - GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
2020 - Scaling Laws for Neural Language Models
2024 - CS231n Convolutional Neural Networks for Visual Recognition