Anson Ho

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 97 citations into it
• Computer Vision and Pattern Recognition — 68 citations into it

Whom Anson Ho trusts overall

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

1. Geoffrey E. Hinton
2. Dan Claudiu Ciresan
3. Yoshua Bengio
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Kaiming He
7. Yann LeCun
8. Tomas Mikolov
9. Ilya Sutskever
10. J. Urgen Schmidhuber

Papers from Anson Ho's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Will we run out of data? Limits of LLM scaling based on human-generated data (2022) — 248 citations
• Compute Trends Across Three Eras of Machine Learning (2022) — 431 citations