Kris Korrel
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #32,365 of 35,345 by trust here, #33,294 by citations
- Natural Language Processing — 22 citations into it; #5,140 of 5,688 by trust here, #5,412 by citations
- Computer Vision and Pattern Recognition — 20 citations into it; #19,903 of 21,575 by trust here, #20,756 by citations
- Model Architectures — 19 citations into it; #2,006 of 2,278 by trust here, #2,192 by citations
Whom Kris Korrel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Diederik P. Kingma
- Brenden M. Lake
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Jimmy Ba
- Alex Krizhevsky
- Marco Baroni
- J. Urgen Schmidhuber
Who trusts Kris Korrel overall
Papers from Kris Korrel's perspective
Ordered by how strongly the researchers Kris Korrel 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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
- Transcoding Compositionally: Using Attention to Find More Generalizable Solutions (2019) — 30 citations
- Learning compositionally through attentive guidance (2018) — 31 citations