Itay Evron

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Optimization & Training — 21 citations into it
• Meta & Continual Learning — 19 citations into it
• Computational Mechanics — 11 citations into it
• Statistics and Probability — 6 citations into it

Whom Itay Evron trusts overall

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

1. Geoffrey E. Hinton
2. Anthony V. Robins
3. Yoshua Bengio
4. Alex Krizhevsky
5. Ian J. Goodfellow
6. Rahaf Aljundi
7. Deanna Needell
8. Yann LeCun
9. Shai Shalev-Shwartz
10. Diederik P. Kingma

Who trusts Itay Evron overall

1. Liangzu Peng
2. Paris V. Giampouras

Papers from Itay Evron's perspective

Ordered by how strongly the researchers Itay Evron 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. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
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

• Continual Learning in Linear Classification on Separable Data (2023) — 33 citations
• How catastrophic can catastrophic forgetting be in linear regression? (2022) — 90 citations