Aviv Navon

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 136 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 85 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Optimization & Training — 16 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it

Whom Aviv Navon trusts overall

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

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

Who trusts Aviv Navon overall

1. Aliaksandra Shysheya

Papers from Aviv Navon's perspective

Ordered by how strongly the researchers Aviv Navon 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Personalized Federated Learning using Hypernetworks (2021) — 473 citations
• GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning (2021) — 42 citations