Steve Kommrusch

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Natural Language Processing — 13 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Steve Kommrusch trusts overall

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

1. Yoshua Bengio
2. Kyunghyun Cho
3. Dzmitry Bahdanau
4. Sepp Hochreiter
5. Ilya Sutskever
6. Geoffrey E. Hinton
7. J. Urgen Schmidhuber
8. Michele Tufano
9. Diederik P. Kingma
10. Alex Graves

Who trusts Steve Kommrusch overall

1. Chun Xia
2. Michele Tufano
3. Baptiste Rozière
4. Yi Li
5. Shaked Brody
6. Dawn Drain
7. Julian Aron Prenner
8. Yangruibo Ding

Papers from Steve Kommrusch's perspective

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

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

Their papers

• SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair (2018) — 554 citations