Sherman Wong

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Model Architectures — 19 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Natural Language Processing — 6 citations into it

Whom Sherman Wong trusts overall

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

1. Chin-Yew Lin
2. Taku Kudo
3. Geoffrey E. Hinton
4. Amirkeivan Mohtashami
5. Ofir Press
6. Yoshua Bengio
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Ilya Sutskever
10. Kaiming He

Who trusts Sherman Wong overall

1. Yanwei Li
2. Zach Nussbaum
3. Tamara Czinczoll
4. Junyi Li

Papers from Sherman Wong's perspective

Ordered by how strongly the researchers Sherman Wong 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. 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

• Extending Context Window of Large Language Models via Positional Interpolation (2023) — 813 citations