Jung-Mock Hwang
Computer Vision and Pattern Recognition · 2015
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 12 citations into it
- Artificial Intelligence — 10 citations into it; #21,710 of 35,345 by trust here, #28,481 by citations
Whom Jung-Mock Hwang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Geoffrey E. Hinton
- Alex Krizhevsky
- L. Eon Bottou
- Ilya Sutskever
- Yoshua Bengio
- Dominik Scherer
- Karen Simonyan
- Moshe Blank
- Uri Hasson
Who trusts Jung-Mock Hwang overall
Papers from Jung-Mock Hwang's perspective
Ordered by how strongly the researchers Jung-Mock Hwang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- 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 Large Scale Visual Recognition Challenge