Yaoshiang Ho

Artificial Intelligence · 2020

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

Subfields

• Artificial Intelligence — 10 citations into it; #26,148 of 35,345 by trust here, #34,943 by citations

Whom Yaoshiang Ho trusts overall

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

1. Tolga Bolukbasi
2. Philip S. Thomas
3. Elad Eban
4. Martín Abadi
5. James Y. Zou
6. Tsung-Yi Lin
7. Kai-Wei Chang
8. Andrew Barto
9. Nathalie Japkowicz
10. Ross B. Girshick

Who trusts Yaoshiang Ho overall

1. Shruti Jadon

Papers from Yaoshiang Ho's perspective

Ordered by how strongly the researchers Yaoshiang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet Large Scale Visual Recognition Challenge
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling (2020) — 698 citations