Wei Wang

Computer Vision and Pattern Recognition · with Choi · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Wei Wang trusts overall

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

1. Geoffrey E. Hinton
2. Isabelle M Guyon
3. P. Allison
4. Nitish Srivastava
5. Yoshua Bengio
6. L. V. D. van der Maaten
7. Brendan J. Frey
8. Ruslan Salakhutdinov
9. Yann LeCun
10. Chris H. Q. Ding

Papers from Wei Wang's perspective

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

Their papers

• Machine Learning and Integrative Analysis of Biomedical Big Data (2019) — 304 citations