Amitai Armon

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Optimization & Training — 8 citations into it
• Model Architectures — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Amitai Armon trusts overall

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

1. Leo Breiman
2. Jerome H. Friedman
3. Tianqi Chen
4. Anna Veronika Dorogush
5. Trevor J. Hastie
6. Jia Deng
7. R. Caruana
8. Vladimir Naumovich Vapnik
9. Sergei Popov
10. Geoffrey E. Hinton

Who trusts Amitai Armon overall

1. Duncan C. McElfresh

Papers from Amitai Armon's perspective

Ordered by how strongly the researchers Amitai Armon 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Tabular Data: Deep Learning is Not All You Need (2021) — 2,138 citations