Wilson Yan
Computer Vision and Pattern Recognition · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 73 citations into it
- Generative Models — 52 citations into it
- Artificial Intelligence — 51 citations into it
- Reinforcement Learning — 27 citations into it
- Control and Systems Engineering — 20 citations into it
- Robotics & Control — 9 citations into it
- Biophysics — 6 citations into it
- Aerospace Engineering — 5 citations into it
Whom Wilson Yan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Yoshua Bengio
- Jimmy Ba
- Alec Radford
- Sergey Levine
- Yann LeCun
- Kaiming He
Who trusts Wilson Yan overall
- Lijun Yu
- Ivan Skorokhodov
- Robin Rombach
- Xun Huang
- Konpat Preechakul
- Songwei Ge
- Zhan Tong
- Wenyi Hong
- Xu Tan
- Yin-Yin He
Papers from Wilson Yan's perspective
Ordered by how strongly the researchers Wilson Yan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- VideoGPT: Video Generation using VQ-VAE and Transformers (2021) — 771 citations
- Learning to Manipulate Deformable Objects without Demonstrations (2019) — 231 citations