Matthew Purver

Natural Language Processing · 2014

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 26 citations into it
• Artificial Intelligence — 19 citations into it
• Representation & Self-Supervised Learning — 14 citations into it

Whom Matthew Purver trusts overall

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

1. Tomas Mikolov
2. Nal Kalchbrenner
3. Edward Grefenstette
4. Marco Baroni
5. Johan Bos
6. Richard Socher
7. Yoshua Bengio

Papers from Matthew Purver's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Attention is All you Need (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Efficient Estimation of Word Representations in Vector Space
6. A unified architecture for natural language processing: deep neural networks with multitask learning
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Evaluating Neural Word Representations in Tensor-Based Compositional Settings (2014) — 116 citations