Katsuya Uenoyama
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #9,655 of 35,345 by trust here, #12,761 by citations
- Natural Language Processing — 15 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Model Architectures — 10 citations into it
- Speech & Audio — 9 citations into it
- Signal Processing — 7 citations into it; #1,711 of 7,572 by trust here, #1,820 by citations
Whom Katsuya Uenoyama trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Lalit M. Patnaik
- Alex Krizhevsky
- Jimmy Ba
- Ilya Sutskever
- Alex Graves
- Yann LeCun
Who trusts Katsuya Uenoyama overall
- Xu Tan
- Edresson Casanova
- Peng Liu
- Junichi Yamagishi
- Berrak Sisman
- Hieu-Thi Luong
- Tomás Nekvinda
- Mutian He
- Yusuke Yasuda
- Noé Tits
Papers from Katsuya Uenoyama's perspective
Ordered by how strongly the researchers Katsuya Uenoyama trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions