Guy Rotman

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 68 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Natural Language Processing — 28 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Guy Rotman trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. David Yarowsky
4. Steven P. Abney
5. Yoshua Bengio
6. Alex Krizhevsky
7. Ilya Sutskever
8. Jimmy Ba
9. Christopher D. Manning
10. Roi Reichart

Who trusts Guy Rotman overall

1. Xiaofeng Liu
2. Alan Ramponi
3. Chaehwa Yoo

Papers from Guy Rotman's perspective

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

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

Their papers

• Deep Contextualized Self-training for Low Resource Dependency Parsing (2019) — 56 citations