Wenda Zhou

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Scaling & Learning Theory — 9 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Wenda Zhou trusts overall

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

1. David A. McAllester
2. Geoffrey E. Hinton
3. Kaiming He
4. Yann LeCun
5. Jorma Rissanen
6. Alex Krizhevsky
7. Olivier Catoni
8. Yoshua Bengio
9. Temple F. Smith
10. Gintare Karolina Dziugaite

Who trusts Wenda Zhou overall

1. Zhiwei Jia
2. Benjamin Bloem-Reddy
3. Chiyuan Zhang
4. Niladri S. Chatterji
5. Sanjeev Arora
6. Hao Su
7. Yee Whye Teh
8. Samy Bengio
9. Jonathan Frankle
10. Pierre Alquier

Papers from Wenda Zhou's perspective

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

Their papers

• Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach (2018) — 236 citations