Richard Diehl Martinez

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #34,993 of 35,345 by trust here, #19,873 by citations
• Natural Language Processing — 26 citations into it; #5,620 of 5,688 by trust here, #3,897 by citations
• Evaluation & Benchmarks — 5 citations into it

Whom Richard Diehl Martinez trusts overall

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

1. Philipp Koehn
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Rachel Rudinger
5. Diederik P. Kingma
6. Aaron Steven White
7. Jacob Devlin
8. Christopher D. Manning
9. Ilya Sutskever
10. Alex Krizhevsky

Who trusts Richard Diehl Martinez overall

1. Emily Sheng
2. Rohit Sridhar
3. Ruibo Liu
4. Andrew Silva

Papers from Richard Diehl Martinez's perspective

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

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

Their papers

• Automatically Neutralizing Subjective Bias in Text (2019) — 207 citations