Justin Harris

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it; #9,456 of 35,345 by trust here, #3,957 by citations
• Natural Language Processing — 36 citations into it; #2,194 of 5,688 by trust here, #959 by citations

Whom Justin Harris trusts overall

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

1. Matthew Henderson
2. Diederik P. Kingma
3. Shuohang Wang
4. Jason Williams
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. Antoine Bordes
8. Jason Aaron Edward Weston

Who trusts Justin Harris overall

1. Daniel Khashabi
2. Thomas Scialom
3. Robin Jia
4. Dirk Weissenborn

Papers from Justin Harris's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet classification with deep convolutional neural networks
7. GloVe: Global Vectors for Word Representation
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• NewsQA: A Machine Comprehension Dataset (2016) — 950 citations
• Frames: a corpus for adding memory to goal-oriented dialogue systems (2017) — 280 citations