M. Boer

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Natural Language Processing — 26 citations into it
• Evaluation & Benchmarks — 10 citations into it

Whom M. Boer trusts overall

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

1. R. Thomas McCoy
2. Christopher D. Manning
3. Geoffrey E. Hinton
4. Danqi Chen
5. Yoshua Bengio
6. Diederik P. Kingma
7. Ilya Sutskever
8. Ashish Vaswani
9. Alex Krizhevsky
10. Peng Shi

Papers from M. Boer's perspective

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

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

Their papers

• Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures (2020) — 13 citations