Samy Wu Fung
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 67 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it; #21,187 of 35,345 by trust here, #25,809 by citations
- Computer Vision and Pattern Recognition — 36 citations into it; #13,157 of 21,575 by trust here, #15,955 by citations
- Statistical and Nonlinear Physics — 24 citations into it; #5,516 of 10,127 by trust here, #5,894 by citations
- Probabilistic & Bayesian Methods — 16 citations into it
- Generative Models — 14 citations into it
- Model Architectures — 14 citations into it
- Computational Mechanics — 8 citations into it
- Optimization & Training — 8 citations into it
Whom Samy Wu Fung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Radford M. Neal
- Yann LeCun
- Jimmy Ba
- Danilo Jimenez Rezende
- Ilya Sutskever
Who trusts Samy Wu Fung overall
Papers from Samy Wu Fung's perspective
Ordered by how strongly the researchers Samy Wu Fung trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- JFB: Jacobian-Free Backpropagation for Implicit Networks (2021) — 139 citations
- OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport (2020) — 217 citations