Yuval Atzmon

Computer Vision and Pattern Recognition · 2016–2022

A researcher in the Science corpus: 2 papers; trusts 156 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 76 citations into it
• Generative Models — 39 citations into it
• Artificial Intelligence — 36 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Yuval Atzmon trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Oriol Vinyals
4. Yoshua Bengio
5. Diederik P. Kingma
6. Kaiming He
7. Ilya Sutskever
8. Jeff Donahue
9. Yann LeCun
10. Christian Szegedy

Papers from Yuval Atzmon's perspective

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

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

Their papers

• An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion (2022) — 2,832 citations
• Learning to generalize to new compositions in image understanding (2016) — 71 citations