Ken Nakae
Artificial Intelligence · 2015
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it; #16,446 of 35,345 by trust here, #7,471 by citations
- Optimization & Training — 13 citations into it
- Model Architectures — 12 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it; #10,515 of 21,575 by trust here, #5,375 by citations
Whom Ken Nakae trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Diederik P. Kingma
- Geoffrey E. Hinton
- Sergey Ioffe
- Christian Szegedy
- Yann LeCun
- Alex Krizhevsky
- Ian J. Goodfellow
- Jimmy Ba
- Ilya Sutskever
Who trusts Ken Nakae overall
Papers from Ken Nakae's perspective
Ordered by how strongly the researchers Ken Nakae trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Dropout: a simple way to prevent neural networks from overfitting
Their papers
- Distributional Smoothing with Virtual Adversarial Training (2015) — 467 citations
- Distributional Smoothing by Virtual Adversarial Examples (2015) — 73 citations