David Wan

Artificial Intelligence · with Bansal · 2022

A researcher in the Science corpus: 1 paper; trusts 87 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Natural Language Processing — 27 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Large Language Models — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom David Wan trusts overall

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

1. Chin-Yew Lin
2. Taku Kudo
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Diederik P. Kingma
6. Shashi Narayan
7. Ilya Sutskever
8. Alex Krizhevsky
9. Wojciech Kryscinski
10. Yann LeCun

Who trusts David Wan overall

1. Vidhisha Balachandran
2. Hannaneh Hajishirzi
3. William W. Cohen

Papers from David Wan's perspective

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

Their papers

• FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization (2022) — 78 citations