Joshua Uyheng
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 72 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #19,277 of 35,345 by trust here, #23,731 by citations
- Natural Language Processing — 26 citations into it; #3,308 of 5,688 by trust here, #4,449 by citations
- Reinforcement Learning — 23 citations into it; #1,394 of 2,242 by trust here, #1,844 by citations
- Computer Vision and Pattern Recognition — 12 citations into it
- Evaluation & Benchmarks — 8 citations into it
- Management Science and Operations Research — 7 citations into it; #5,870 of 11,946 by trust here, #6,314 by citations
Whom Joshua Uyheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Ronald J. Williams
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Dzmitry Bahdanau
- Alex Krizhevsky
- Doina Precup
- Ilya Sutskever
- Tomas Mikolov
Who trusts Joshua Uyheng overall
Papers from Joshua Uyheng's perspective
Ordered by how strongly the researchers Joshua Uyheng trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images