Dan Wang

Artificial Intelligence · with Dai · 2017

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #30,069 of 35,345 by trust here, #25,809 by citations
• Graph Learning — 15 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Statistical and Nonlinear Physics — 9 citations into it
• Generative Models — 8 citations into it

Whom Dan Wang trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Ilya Sutskever
5. Tomas Mikolov
6. Alex Krizhevsky
7. Individualized Treat
8. Yann LeCun
9. Max Welling
10. L. V. D. van der Maaten

Who trusts Dan Wang overall

1. Stephan Günnemann
2. Aleksandar Bojchevski

Papers from Dan Wang's perspective

Ordered by how strongly the researchers Dan 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Attention is All you Need (Neural Information Processing Systems)
5. GENERATIVE ADVERSARIAL NETS
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Adversarial Network Embedding (2017) — 229 citations