Adam Yala

Natural Language Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 8 citations into it
• Artificial Intelligence — 7 citations into it

Whom Adam Yala trusts overall

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

1. Anthony Fader
2. Richard Socher
3. Eugene Agichtein
4. Oren Etzioni
5. Kelvin Guu
6. Arvind Neelakantan
7. Michele Banko
8. Bishan Yang
9. Stephen Soderland
10. Geoffrey E. Hinton

Papers from Adam Yala's perspective

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

Their papers

• Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning by Adam Yala (2017)