David Carter

Artificial Intelligence · with Bachrach · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Natural Language Processing — 16 citations into it
• Reinforcement Learning — 14 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom David Carter trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Richard S. Sutton
2. Ilya Sutskever

Papers from David Carter's perspective

Ordered by how strongly the researchers David Carter trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
4. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Playing Atari with Deep Reinforcement Learning (arXiv.org)
8. Gradient-based learning applied to document recognition
9. Recurrent neural network based language model
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Batch Policy Gradient Methods for Improving Neural Conversation Models (2017) — 37 citations