Katherine Hoffmann Pham

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Computational Theory and Mathematics — 11 citations into it

Whom Katherine Hoffmann Pham trusts overall

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

1. Yann LeCun
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Linda Wang
6. Sepp Hochreiter
7. Trevor J. Hastie
8. Alex Krizhevsky
9. Xin-She Yang
10. Christian Szegedy

Papers from Katherine Hoffmann Pham's perspective

Ordered by how strongly the researchers Katherine Hoffmann Pham 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. Long Short-Term Memory
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. GENERATIVE ADVERSARIAL NETS
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Mapping the Landscape of Artificial Intelligence Applications against COVID-19 (2020) — 414 citations