Mona Attariyan

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #10,112 of 35,345 by trust here, #3,155 by citations
• Computer Vision and Pattern Recognition — 20 citations into it; #7,493 of 21,575 by trust here, #2,381 by citations

Whom Mona Attariyan trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Yoshua Bengio
4. Geoffrey E. Hinton

Who trusts Mona Attariyan overall

1. Jonas Pfeiffer
2. Zixuan Ke

Papers from Mona Attariyan's perspective

Ordered by how strongly the researchers Mona Attariyan 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. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. ImageNet classification with deep convolutional neural networks
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

• Parameter-Efficient Transfer Learning for NLP (2019) — 6,877 citations