Abolfazl Farahani

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Representation & Self-Supervised Learning — 26 citations into it
• Natural Language Processing — 7 citations into it
• Generative Models — 6 citations into it

Whom Abolfazl Farahani trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Masashi Sugiyama
4. Alex Krizhevsky
5. Yann LeCun
6. Diederik P. Kingma
7. Kaiming He
8. Ilya Sutskever
9. L. Eon Bottou
10. Ross B. Girshick

Who trusts Abolfazl Farahani overall

1. Daochen Zha

Papers from Abolfazl Farahani's perspective

Ordered by how strongly the researchers Abolfazl Farahani trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Brief Review of Domain Adaptation (2020) — 810 citations