Jifan Chen

Artificial Intelligence · with Choi · 2021

A researcher in the Science corpus: 1 paper; trusts 62 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it; #22,813 of 35,345 by trust here, #29,412 by citations
• Natural Language Processing — 43 citations into it; #3,833 of 5,688 by trust here, #5,092 by citations
• Computer Vision and Pattern Recognition — 21 citations into it
• Evaluation & Benchmarks — 21 citations into it

Whom Jifan Chen trusts overall

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

1. Robin Jia
2. Percy Liang
3. Pranav Rajpurkar
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Yoshua Bengio
7. Ilya Sutskever
8. Alex Krizhevsky
9. Richard Socher
10. Tushar Khot

Who trusts Jifan Chen overall

1. Xi Ye
2. Greg Durrett

Papers from Jifan Chen's perspective

Ordered by how strongly the researchers Jifan Chen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
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. Gradient-based learning applied to document recognition
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Can NLI Models Verify QA Systems' Predictions? (2021) — 65 citations