Jason Wang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 82 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #3,284 of 21,575 by trust here, #5,464 by citations

Whom Jason Wang trusts overall

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

1. Esben Jannik Bjerrum
2. Yann LeCun
3. Sitao Xiang
4. Harsh Rai
5. Sebastien C. Wong
6. Corinna Cortes
7. Hao Li

Who trusts Jason Wang overall

1. Ekin Dogus Cubuk
2. Barret Zoph
3. Mengying Shu
4. Hiroshi Inoue
5. Alex Hernandez-Garcia
6. Miaoyun Zhao
7. Connor Shorten
8. Xiang Dai
9. Songyu Li
10. Marc Velay

Papers from Jason Wang's perspective

Ordered by how strongly the researchers Jason 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. Long Short-Term Memory
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Attention is All you Need (Neural Information Processing Systems)
7. Going deeper with convolutions
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• The Effectiveness of Data Augmentation in Image Classification using Deep Learning (2017) — 3,170 citations