Joshua Feldman

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #10,672 of 35,345 by trust here, #11,624 by citations
• Natural Language Processing — 10 citations into it; #2,171 of 5,688 by trust here, #2,497 by citations

Whom Joshua Feldman trusts overall

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

1. Hirotugu Akaike
2. Robyn Speer
3. Trieu H. Trinh
4. Hugo Liu
5. Jonathan Gordon
6. Jacob Devlin
7. Hector J. Levesque
8. Alec Radford
9. Quoc V. Le
10. Ernest Davis

Who trusts Joshua Feldman overall

1. Timo Schick
2. Vered Shwartz
3. Hinrich Schütze
4. Tara Safavi
5. Peter West
6. Yejin Choi
7. Bill Yuchen Lin
8. Ning Ding
9. Tianxiang Sun
10. Pengfei Liu

Papers from Joshua Feldman's perspective

Ordered by how strongly the researchers Joshua Feldman 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Gradient-based learning applied to document recognition
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Commonsense Knowledge Mining from Pretrained Models (2019) — 355 citations