Mojtaba Faramarzi

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Computer Vision and Pattern Recognition — 38 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Optimization & Training — 12 citations into it
• Reinforcement Learning — 8 citations into it

Whom Mojtaba Faramarzi trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Kaiming He
5. Christian Szegedy
6. Yoshua Bengio
7. Ian J. Goodfellow
8. Yann LeCun
9. Diederik P. Kingma
10. Marc'Aurelio Ranzato

Who trusts Mojtaba Faramarzi overall

1. C. Yuhua
2. Linjun Zhang
3. Chen Yuhua
4. Da-Wei Zhou
5. Haoxuan Qu

Papers from Mojtaba Faramarzi's perspective

Ordered by how strongly the researchers Mojtaba Faramarzi 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• PatchUp: A Regularization Technique for Convolutional Neural Networks (2020) — 39 citations
• IIRC: Incremental Implicitly-Refined Classification (2020) — 32 citations