Branden Chan

Artificial Intelligence · 2020

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 — 14 citations into it
• Natural Language Processing — 14 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Branden Chan trusts overall

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

1. Jörg Tiedemann
2. Alan Akbik
3. Jeremy Howard
4. Michael Wiegand
5. Jacob Devlin
6. Ashish Vaswani
7. Matthew E. Peters
8. Geoffrey E. Hinton
9. Guillaume Wenzek
10. Duncan A. J. Blythe

Who trusts Branden Chan overall

1. Isaac Caswell

Papers from Branden Chan's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
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. Gradient-based learning applied to document recognition

Their papers

• German’s Next Language Model (2020) — 346 citations