Yun Wang

Artificial Intelligence · with Metze · 2016

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Yun Wang trusts overall

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

1. Paul J. Werbos
2. Yurii E. Nesterov
3. Geoffrey E. Hinton
4. David E. Rumelhart
5. William M. Campbell
6. Nitish Srivastava
7. Sepp Hochreiter
8. Emre Çakir
9. Alex Krizhevsky
10. Ronald J. Williams

Who trusts Yun Wang overall

1. Seunghyun Yoon
2. Seokhyun Byun

Papers from Yun Wang's perspective

Ordered by how strongly the researchers Yun Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Dropout: a simple way to prevent neural networks from overfitting
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Audio-based multimedia event detection using deep recurrent neural networks (2016) — 74 citations