Sungyeob Han
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it; #18,440 of 35,345 by trust here, #23,077 by citations
- Computer Vision and Pattern Recognition — 7 citations into it; #11,647 of 21,575 by trust here, #15,162 by citations
- Optimization & Training — 6 citations into it
- Safety, Robustness & Interpretability — 6 citations into it
Whom Sungyeob Han trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Christian Szegedy
- Diederik P. Kingma
- Sergey Ioffe
- Geoffrey E. Hinton
- Xavier Glorot
- Yoshua Bengio
- Individualized Treat
- Ian J. Goodfellow
- Ilya Sutskever
Who trusts Sungyeob Han overall
- Naveed Akhtar
- David Stutz
- Andrew Ilyas
- Xiyang Luo
- Ajmal Saeed Mian
- Matthias Hein
- Ajil Jalal
- Ruohan Zhan
- Bernt Schiele
- Justin Gilmer
Papers from Sungyeob Han's perspective
Ordered by how strongly the researchers Sungyeob Han 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN (2017) — 157 citations