Masahiro Suzuki
Computer Vision and Pattern Recognition · 2016
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it; #14,093 of 21,575 by trust here, #11,286 by citations
- Artificial Intelligence — 11 citations into it; #18,935 of 35,345 by trust here, #16,771 by citations
- Generative Models — 10 citations into it; #1,344 of 1,956 by trust here, #1,262 by citations
- Statistics and Probability — 7 citations into it
Whom Masahiro Suzuki trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Peter Filzmoser
- Shun-ichi Amari
- Individualized Treat
- Ian J. Goodfellow
- Jimmy Ba
- Yoshua Bengio
- Mark D. Reid
Who trusts Masahiro Suzuki overall
Papers from Masahiro Suzuki's perspective
Ordered by how strongly the researchers Masahiro Suzuki 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
- Learning Multiple Layers of Features from Tiny Images
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Generative Adversarial Nets from a Density Ratio Estimation Perspective (2016) — 106 citations