Waiman Si

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Natural Language Processing — 38 citations into it
• Safety, Robustness & Interpretability — 26 citations into it

Whom Waiman Si trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ilya Sutskever
4. Emily Dinan
5. Oriol Vinyals
6. Jason Aaron Edward Weston
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Yann LeCun
10. Antoine Bordes

Papers from Waiman Si's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Why So Toxic?: Measuring and Triggering Toxic Behavior in Open-Domain Chatbots (2022) — 86 citations