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Ilya's Top 30

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Ilya's Top 30 Papers

"If you really learn all of these, you'll know 90% of what matters today" — Ilya Sutskever

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The First Law of Complexo...

#1blogComplexity Theory

The First Law of Complexodynamics

30 min
Advanced
#2blogRNNs

The Unreasonable Effectiveness of Recurrent Neural Networks

45 min
Easy
#3blogRNNs

Understanding LSTM Networks

30 min
Easy
#4paperRNNs

Recurrent Neural Network Regularization

1h
Moderate
Prerequisites needed
#5paperInformation Theory

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

1h 30m
Advanced
Prerequisites needed
#6paperSequence Models

Pointer Networks

1h 15m
Moderate
Prerequisites needed
#7paperCNNsAlexNet

ImageNet Classification with Deep Convolutional Neural Networks

1h
Easy
#8paperSequence Models

Order Matters: Sequence to Sequence for Sets

1h
Moderate
Prerequisites needed
#9paperScaling

GPipe: Easy Scaling with Micro-Batch Pipeline Parallelism

45 min
Moderate
Prerequisites needed
#10paperCNNsResNet

Deep Residual Learning for Image Recognition

1h
Easy
Prerequisites needed
#11paperCNNs

Multi-Scale Context Aggregation by Dilated Convolutions

45 min
Moderate
Prerequisites needed
#12paperGraph Neural Networks

Neural Message Passing for Quantum Chemistry

1h 30m
Advanced
#13paperTransformersTransformer

Attention Is All You Need

2h
Moderate
Prerequisites needed
#14paperAttentionBahdanau Attention

Neural Machine Translation by Jointly Learning to Align and Translate

1h 30m
Moderate
Prerequisites needed
#15paperCNNs

Identity Mappings in Deep Residual Networks

45 min
Moderate
Prerequisites needed
#16paperReasoning

A Simple Neural Network Module for Relational Reasoning

1h
Moderate
#17paperGenerative Models

Variational Lossy Autoencoder

1h 30m
Advanced
#18paperRNNs

Relational Recurrent Neural Networks

1h
Advanced
Prerequisites needed
#19paperComplexity Theory

Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton

2h
Expert
Prerequisites needed
#20paperMemory Networks

Neural Turing Machines

1h 30m
Advanced
Prerequisites needed
#21paperSpeech

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

1h 15m
Moderate
Prerequisites needed
#22paperScaling

Scaling Laws for Neural Language Models

1h 30m
Moderate
Prerequisites needed
#23paperInformation Theory

A Tutorial Introduction to the Minimum Description Length Principle

3h
Advanced
#24paperAGI

Machine Super Intelligence

4h
Advanced
Prerequisites needed
#25bookInformation Theory

Kolmogorov Complexity and Algorithmic Randomness

10h
Expert
#26courseCNNs

Stanford's CS231n Convolutional Neural Networks for Visual Recognition

20h
Easy