Jamaal Hay

Natural Language Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 12 citations into it; #2,752 of 5,688 by trust here, #3,332 by citations
• Artificial Intelligence — 11 citations into it; #15,018 of 35,345 by trust here, #16,166 by citations

Whom Jamaal Hay trusts overall

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

1. Junbo Jake Zhao
2. Jacob Devlin
3. Ido Dagan
4. Adina Williams
5. Yann LeCun
6. Ming-Wei Chang
7. Alex Wang
8. James Thorne
9. Geoffrey E. Hinton

Who trusts Jamaal Hay overall

1. Timo Schick
2. Qinyuan Ye
3. Ruiqi Zhong
4. Shanya Sharma Sharma
5. Orion Weller
6. Congying Xia
7. Hinrich Schütze
8. Xiang Ren
9. Young-Jun Lee

Papers from Jamaal Hay's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Attention is All you Need (Neural Information Processing Systems)
3. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach (2019) — 684 citations