Michael A. Greenspan

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Natural Language Processing — 30 citations into it

Whom Michael A. Greenspan trusts overall

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

1. Bill MacCartney
2. Christopher D. Manning
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Jason Aaron Edward Weston
7. Tim Rocktaschel
8. Richard Socher
9. Ilya Sutskever
10. Jimmy Ba

Papers from Michael A. Greenspan's perspective

Ordered by how strongly the researchers Michael A. Greenspan 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Exploring End-to-End Differentiable Natural Logic Modeling (2020) — 15 citations