Jong Hwan Ko
Artificial Intelligence · with Mukhopadhyay · 2017
A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #25,802 of 35,345 by trust here, #21,878 by citations
- Computer Vision and Pattern Recognition — 10 citations into it; #21,172 of 21,575 by trust here, #18,782 by citations
- Safety, Robustness & Interpretability — 10 citations into it
- Model Architectures — 8 citations into it
Whom Jong Hwan Ko trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Ian J. Goodfellow
- Alexey Kurakin
- Christian Szegedy
- Kaiming He
- Geoffrey E. Hinton
- Sergey Ioffe
- Yoshua Bengio
- Ilya Sutskever
- H. T. Kung
Who trusts Jong Hwan Ko overall
Papers from Jong Hwan Ko's perspective
Ordered by how strongly the researchers Jong Hwan Ko 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
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- Cascade Adversarial Machine Learning Regularized with a Unified Embedding (2017) — 107 citations
- On-chip training of recurrent neural networks with limited numerical precision (2017) — 42 citations