Aviv Shamsian

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Optimization & Training — 12 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Aviv Shamsian trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Jonathan Baxter
5. H. Brendan McMahan
6. Yoshua Bengio
7. Alireza Fallah
8. Ruslan Salakhutdinov
9. Diederik P. Kingma
10. L. Eon Bottou

Who trusts Aviv Shamsian overall

1. Aliaksandra Shysheya
2. Jianqing Zhang
3. John F. Bronskill

Papers from Aviv Shamsian's perspective

Ordered by how strongly the researchers Aviv Shamsian 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Personalized Federated Learning using Hypernetworks (2021) — 473 citations