Anthony Chen

Artificial Intelligence · with Chaganty · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 126 citations into it
• Natural Language Processing — 95 citations into it
• Evaluation & Benchmarks — 36 citations into it
• Information Retrieval & Search — 29 citations into it

Whom Anthony Chen trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Ilya Sutskever
5. Alex Krizhevsky
6. Patrick Lewis
7. Yann LeCun
8. Richard Socher
9. Colin Raffel
10. Kaiming He

Papers from Anthony Chen's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Gradient-based learning applied to document recognition

Their papers

• Entity-Based Knowledge Conflicts in Question Answering (2021) — 396 citations
• Attributed Text Generation via Post-hoc Research and Revision (2022) — 27 citations
• RARR: Researching and Revising What Language Models Say, Using Language Models (2022) — 339 citations