Samson H. Fong

Cancer Cell · 2018–2020

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

Whom Samson H. Fong trusts overall

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

1. Michael Kramer

Papers from Samson H. Fong's perspective

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

1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Mastering the game of Go with deep neural networks and tree search
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Using deep learning to model the hierarchical structure and function of a cell (2018) — 391 citations
• Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells (2020) — 421 citations