Sho Yaida
Artificial Intelligence · 2007–2023
A researcher in the Science corpus: 3 papers; trusts 223 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 56 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it
- Optimization & Training — 22 citations into it
- Safety, Robustness & Interpretability — 16 citations into it
- Statistical and Nonlinear Physics — 14 citations into it
- Model Architectures — 12 citations into it
- Natural Language Processing — 10 citations into it
- Scaling & Learning Theory — 10 citations into it
Whom Sho Yaida trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Kaiming He
- Ilya Sutskever
- Christian Szegedy
- Jia Deng
- Jimmy Ba
Who trusts Sho Yaida overall
Papers from Sho Yaida's perspective
Ordered by how strongly the researchers Sho Yaida 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Robust Learning with Jacobian Regularization (2019) — 218 citations
- Effective Theory of Transformers at Initialization (2023) — 20 citations
- Viscosity Bound Violation in Higher Derivative Gravity (2007) — 628 citations