Alexander Wan

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Safety, Robustness & Interpretability — 15 citations into it

Whom Alexander Wan trusts overall

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

1. Eric Wallace
2. Nicholas Carlini
3. Brian Lester
4. Geoffrey E. Hinton
5. Sewon Min
6. Yoshua Bengio
7. Diederik P. Kingma
8. Colin Raffel
9. Ruiqi Zhong
10. Alex Krizhevsky

Papers from Alexander Wan's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
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. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Poisoning Language Models During Instruction Tuning (2023) — 359 citations