Dan Wang

Probabilistic & Bayesian Methods · with Shang · 2014

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 6 citations into it

Whom Dan Wang trusts overall

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

1. Paul Smolensky
2. Claude E. Shannon
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. G. Fiquet
6. Pascal Lamblin
7. Yann LeCun
8. Hugo Larochelle
9. Alex Krizhevsky
10. Radford M. Neal

Who trusts Dan Wang overall

1. Pingbo Pan
2. Pengzhen Ren
3. J. Ash
4. Siddharth Swaroop
5. Natasa Tagasovska
6. Yun Xiao

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

Their papers

• A new active labeling method for deep learning (2014) — 423 citations