reading
Books, scientific papers and articles: what I'm reading, what I've read and what's next.
- want to read
- 0
- reading
- 0
- finished
- 0
- papers
- 20
- A simple neural network module for relational reasoning Adam Santoro et al.
- A tutorial introduction to the minimum description length principle Peter Grunwald
- Attention Is All You Need Ashish Vaswani et al.
- Deep Residual Learning for Image Recognition Kaiming He et al.
- Deep Speech 2: End-to-End Speech Recognition in English and Mandarin Dario Amodei et al.
- GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism Yanping Huang et al.
- Identity Mappings in Deep Residual Networks Kaiming He et al.
- ImageNet Classification with Deep Convolutional Neural Networks Alex Krizhevsky et al.
- Keeping Neural Networks Simple by Minimizing the Description Length of the Weights van Camp
- Multi-Scale Context Aggregation by Dilated Convolutions Fisher Yu & Vladlen Koltun
- Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau et al.
- Neural Message Passing for Quantum Chemistry Justin Gilmer et al.
- Neural Turing Machines Alex Graves et al.
- Order Matters: Sequence to sequence for sets Oriol Vinyals et al.
- Pointer Networks Oriol Vinyals et al.
- Quantum Algorithms for Deep Convolutional Neural Networks Iordanis Kerenidis et al.
- Recurrent Neural Network Regularization Wojciech Zaremba et al.
- Relational recurrent neural networks Adam Santoro et al.
- Scaling Laws for Neural Language Models Jared Kaplan et al.
- Variational Lossy Autoencoder Xi Chen et al.