Chandler May

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #6,151 of 35,345 by trust here, #4,860 by citations
• Natural Language Processing — 20 citations into it; #2,685 of 5,688 by trust here, #1,598 by citations
• Evaluation & Benchmarks — 6 citations into it

Whom Chandler May trusts overall

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

1. Alec Radford
2. Yoshua Bengio
3. Samuel R. Bowman
4. Geoffrey E. Hinton
5. Jeffrey Pennington
6. Richard Socher
7. Jacob Devlin
8. Ilya Sutskever
9. Christopher D. Manning
10. Svetlana Kiritchenko

Who trusts Chandler May overall

1. Eric Michael Smith
2. Percy Liang
3. Candace Ross
4. João Sedoc
5. Haochen Liu
6. Y. Tan
7. Adina Williams
8. Svetlana Kiritchenko
9. Yang Trista Cao
10. Vinodkumar Prabhakaran

Papers from Chandler May's perspective

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

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

Their papers

• On Measuring Social Biases in Sentence Encoders (2019) — 730 citations
• Social Bias in Elicited Natural Language Inferences (2017) — 140 citations