Donghyun Kwak
Artificial Intelligence · 2016–2017
A researcher in the Science corpus: 4 papers; trusts 49 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 60 citations into it; #25,901 of 35,345 by trust here, #9,870 by citations
- Computer Vision and Pattern Recognition — 50 citations into it; #17,927 of 21,575 by trust here, #7,938 by citations
Whom Donghyun Kwak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Ilya Sutskever
- Ruslan Salakhutdinov
- Nitish Srivastava
- Yann LeCun
- Diederik P. Kingma
- Karen Simonyan
Who trusts Donghyun Kwak overall
Papers from Donghyun Kwak's perspective
Ordered by how strongly the researchers Donghyun Kwak 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Multimodal Residual Learning for Visual QA (2016) — 319 citations
- NSML: A Machine Learning Platform That Enables You to Focus on Your Models (2017) — 89 citations
- Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors (2017) — 9 citations
- Dual-Memory Deep Learning Architectures for Lifelong Learning of Everyday Human Behaviors (2016) — 44 citations