Maggie Haitian Wang

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Safety, Robustness & Interpretability — 13 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Maggie Haitian Wang trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Christian Szegedy
5. Diederik P. Kingma
6. Ross B. Girshick
7. Yoshua Bengio
8. Tsung-Yi Lin
9. Yann LeCun
10. X. Zhang

Who trusts Maggie Haitian Wang overall

1. Tuomas P. Oikarinen

Papers from Maggie Haitian Wang's perspective

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

Their papers

• Post-hoc Concept Bottleneck Models (2022) — 339 citations