Eitan Grossman

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #26,245 of 35,345 by trust here, #34,213 by citations
• Natural Language Processing — 6 citations into it; #4,309 of 5,688 by trust here, #5,593 by citations

Whom Eitan Grossman trusts overall

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

1. Tomas Mikolov
2. Eric Hsin-Chun Huang
3. Arvind Neelakantan
4. Massimiliano Mancini
5. Ignacio Iacobacci
6. Richard Socher

Who trusts Eitan Grossman overall

1. José Camacho-Collados
2. Mohammad Taher Pilehvar

Papers from Eitan Grossman's perspective

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

1. Efficient Estimation of Word Representations in Vector Space
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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

• Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research (2018) — 15 citations