Jin Dong

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it; #29,516 of 35,345 by trust here, #19,873 by citations
• Natural Language Processing — 21 citations into it; #4,803 of 5,688 by trust here, #3,897 by citations
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Jin Dong trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Sepp Hochreiter
4. J. Ross Quinlan
5. Diederik P. Kingma
6. J. Urgen Schmidhuber
7. Alex Krizhevsky
8. Ilya Sutskever
9. Yann LeCun
10. Kyunghyun Cho

Who trusts Jin Dong overall

1. Yifei Li
2. Gregor Betz

Papers from Jin Dong's perspective

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

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

Their papers

• CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text (2019) — 274 citations