J. Dieter

Natural Language Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 29 citations into it
• Artificial Intelligence — 27 citations into it

Whom J. Dieter trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Steven Bird
4. Christopher D. Manning
5. Sepp Hochreiter
6. Kyunghyun Cho
7. Dzmitry Bahdanau
8. Geoffrey E. Hinton
9. Joseph Weizenbaum
10. Jimmy Ba

Papers from J. Dieter's perspective

Ordered by how strongly the researchers J. Dieter 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue (2019) — 10 citations