Brian Hu Zhang

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #6,020 of 35,345 by trust here, #6,664 by citations

Whom Brian Hu Zhang trusts overall

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

1. Diederik P. Kingma
2. Moritz Hardt
3. Tomas Mikolov
4. Alex Beutel
5. Jimmy Ba
6. Ian J. Goodfellow
7. Tolga Bolukbasi
8. Ilya Sutskever
9. Geoffrey E. Hinton
10. Yoshua Bengio

Who trusts Brian Hu Zhang overall

1. Sunipa Dev
2. Hila Gonen
3. Yanai Elazar
4. Yoav Goldberg
5. Chris Sweeney
6. Dana Pessach
7. Silvia Chiappa
8. Ben Hutchinson
9. Luca Oneto
10. Frederick Liu

Papers from Brian Hu Zhang's perspective

Ordered by how strongly the researchers Brian Hu Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Mitigating Unwanted Biases with Adversarial Learning (2018) — 1,702 citations