Itamar Friedman
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 4 papers; trusts 186 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 89 citations into it
- Computer Vision and Pattern Recognition — 88 citations into it
- Optimization & Training — 30 citations into it
- Model Architectures — 27 citations into it
Whom Itamar Friedman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Barret Zoph
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Yoshua Bengio
- Christian Szegedy
- Quoc V. Le
- Karen Simonyan
Papers from Itamar Friedman's perspective
Ordered by how strongly the researchers Itamar Friedman trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Going deeper with convolutions
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Asymmetric Loss For Multi-Label Classification (2020) — 870 citations
- ASAP: Architecture Search, Anneal and Prune (2019) — 108 citations
- XNAS: Neural Architecture Search with Expert Advice (2019) — 135 citations
- Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering (2024) — 136 citations