Eric Wang

Artificial Intelligence · with Ermon · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #30,097 of 35,345 by trust here, #25,809 by citations

Whom Eric Wang trusts overall

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

1. Ronald J. Williams
2. Peter W. Glynn
3. Yoshua Bengio
4. Kilian Q. Weinberger
5. Diederik P. Kingma
6. Chris J. Maddison
7. Eric Jang
8. Geoffrey E. Hinton
9. Gonzalo E. Mena
10. Andriy Mnih

Who trusts Eric Wang overall

1. Sang Michael Xie
2. Yan Zhang
3. Mathieu Blondel
4. Max B. Paulus

Papers from Eric Wang's perspective

Ordered by how strongly the researchers Eric Wang 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. Gradient-based learning applied to document recognition
4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Stochastic Optimization of Sorting Networks via Continuous Relaxations (2019) — 220 citations