R. Olivier

Artificial Intelligence · 2018

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

Subfields

• Artificial Intelligence — 13 citations into it; #35,144 of 35,345 by trust here, #19,873 by citations

Whom R. Olivier trusts overall

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

1. Jiatao Gu
2. Robin Jia
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Kyunghyun Cho
6. Maxim Rabinovich
7. Diederik P. Kingma
8. Sepp Hochreiter
9. Ilya Sutskever

Who trusts R. Olivier overall

1. Panupong Pasupat
2. Tatsunori B. Hashimoto
3. Frank F. Xu

Papers from R. Olivier's perspective

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

1. Long Short-Term Memory
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
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. ImageNet: A large-scale hierarchical image database

Their papers

• Retrieval-Based Neural Code Generation (2018) — 122 citations