Do Kook Choe
Artificial Intelligence · 2014–2016
A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it; #10,032 of 35,345 by trust here, #15,866 by citations
- Natural Language Processing — 11 citations into it; #2,245 of 5,688 by trust here, #3,687 by citations
- Model Architectures — 9 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Do Kook Choe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ilya Sutskever
- Oriol Vinyals
- Slav Petrov
- Yoshua Bengio
- Alex Graves
- Wojciech Zaremba
- Frederic Morin
- Mounir Ben Nasr
- Eugene Charniak
Who trusts Do Kook Choe overall
- Dan Otter
- Kevin Clark
- A. Kuncoro
- Ethan Gotlieb Wilcox
- Ashia C. Wilson
- Giovanni Paolini
- Daniel Fried
- Chris Dyer
- Mitchell Stern
- Julian R. Medina
Papers from Do Kook Choe's perspective
Ordered by how strongly the researchers Do Kook Choe trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Parsing as Language Modeling (2016) — 121 citations
- Humans Require Context to Infer Ironic Intent (so Computers Probably do, too) (2014) — 145 citations