Kazuki Yoshizoe
Artificial Intelligence · 2015–2019
A researcher in the Science corpus: 3 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it
- Computer Vision and Pattern Recognition — 32 citations into it
- Optimization & Training — 12 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Computational Chemistry & Drug Discovery — 5 citations into it
- Model Architectures — 5 citations into it
Whom Kazuki Yoshizoe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Kaiming He
- Jimmy Ba
- Vipin Kumar
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
Who trusts Kazuki Yoshizoe overall
Papers from Kazuki Yoshizoe's perspective
Ordered by how strongly the researchers Kazuki Yoshizoe 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
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Faster AutoAugment: Learning Augmentation Strategies using Backpropagation (2019) — 238 citations
- ChemTS: an efficient python library for de novo molecular generation (2017) — 257 citations
- Scalable parallel numerical constraint solver using global load balancing (2015) — 3 citations