Yasi Wang

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it
• Artificial Intelligence — 10 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Yasi Wang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Mark A. Kramer
4. Simon Osindero
5. Alex Krizhevsky
6. Yann LeCun
7. Yee Whye Teh
8. Ilya Sutskever
9. Radford M. Neal
10. Ruslan Salakhutdinov

Who trusts Yasi Wang overall

1. Timothée Lesort
2. Jing Gao
3. Wan Zhu
4. Natalia Díaz Rodríguez
5. Peng Li
6. Nathan Shone
7. Longxiang Xie

Papers from Yasi Wang's perspective

Ordered by how strongly the researchers Yasi 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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Auto-encoder based dimensionality reduction (2016) — 930 citations
• Dimensionality reduction strategy based on auto-encoder (2015) — 28 citations