Ran Jia

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it

Whom Ran Jia trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ilya Sutskever
4. Tomas Mikolov
5. Alex Krizhevsky
6. Richard Socher
7. Nitish Srivastava
8. Diederik P. Kingma
9. Oriol Vinyals
10. Jimmy Ba

Papers from Ran Jia's perspective

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

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

Their papers

• TUTA: Tree-based Transformers for Generally Structured Table Pre-training (2020) — 199 citations
• Distilling Word Embeddings: An Encoding Approach (2015) — 28 citations