K. Jung

Artificial Intelligence · with Clinchant · 2019

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Natural Language Processing — 21 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Large Language Models — 6 citations into it
• Model Architectures — 5 citations into it

Whom K. Jung trusts overall

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

1. Ilya Sutskever
2. Rico Sennrich
3. Yoshua Bengio
4. Dzmitry Bahdanau
5. Geoffrey E. Hinton
6. Diederik P. Kingma
7. Oriol Vinyals
8. Kyunghyun Cho
9. Jacob Devlin
10. Sergey Edunov

Who trusts K. Jung overall

1. Julian Salazar
2. Subhajit Naskar
3. Xipeng Qiu

Papers from K. Jung's perspective

Ordered by how strongly the researchers K. Jung 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. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• On the use of BERT for Neural Machine Translation (2019) — 99 citations