Yotam Eshel
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it; #34,347 of 35,345 by trust here, #29,412 by citations
- Natural Language Processing — 14 citations into it; #5,482 of 5,688 by trust here, #5,092 by citations
- Representation & Self-Supervised Learning — 6 citations into it
Whom Yotam Eshel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Omer Levy
- Jerome H. Friedman
- Kyunghyun Cho
- Yoshua Bengio
- Dzmitry Bahdanau
- Tomas Mikolov
- Ilya Sutskever
- Geoffrey E. Hinton
- John C. Duchi
- Yoav Goldberg
Who trusts Yotam Eshel overall
- Yasumasa Onoe
- José Camacho-Collados
- Ledell Yu Wu
- Greg Durrett
- Jiayi Wei
- Feng Nie
- Mohammad Taher Pilehvar
- Fabio Petroni
Papers from Yotam Eshel's perspective
Ordered by how strongly the researchers Yotam Eshel trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Named Entity Disambiguation for Noisy Text (2017) — 101 citations