H. Suh
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 59 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 12 citations into it; #9,190 of 21,575 by trust here, #19,310 by citations
- Artificial Intelligence — 10 citations into it
- Reinforcement Learning — 6 citations into it
Whom H. Suh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chelsea Finn
- Diederik P. Kingma
- Sergey Levine
- Jimmy Ba
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Ian J. Goodfellow
- Ilya Sutskever
Who trusts H. Suh overall
- Lucas Manuelli
- Rafael Rafailov
- Bohan Wu
- Peter R. Florence
- Chelsea Finn
- Suraj Nair
- Tianhe Yu
- Yunzhu Li
- Li Fei-Fei
- Aravind Rajeswaran
Papers from H. Suh's perspective
Ordered by how strongly the researchers H. Suh 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images