Aram H. Markosyan

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 54 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Scaling & Learning Theory — 16 citations into it
• Model Architectures — 6 citations into it

Whom Aram H. Markosyan trusts overall

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

1. Vitaly Feldman
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Alex Krizhevsky
6. Dan Hendrycks
7. Ilya Sutskever
8. Kaiming He
9. Yann LeCun
10. Myle Ott

Papers from Aram H. Markosyan's perspective

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

Their papers

• Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models (2022) — 288 citations