Yochai Yemini

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it

Whom Yochai Yemini trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Radford M. Neal
7. Yann LeCun
8. Ruslan Salakhutdinov
9. Ilya Sutskever
10. Oriol Vinyals

Papers from Yochai Yemini's perspective

Ordered by how strongly the researchers Yochai Yemini trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning (2021) — 42 citations