Gus Hahn-Powell

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Natural Language Processing — 5 citations into it

Whom Gus Hahn-Powell trusts overall

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

1. Nicholas Frosst
2. Tomas Mikolov
3. Geoffrey E. Hinton
4. Thang Luong
5. Ashish Vaswani

Papers from Gus Hahn-Powell's perspective

Ordered by how strongly the researchers Gus Hahn-Powell trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Efficient Estimation of Word Representations in Vector Space
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder (2020) — 13 citations