Hossein Hajipour

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Information Systems — 8 citations into it
• Natural Language Processing — 8 citations into it
• Generative Models — 6 citations into it
• Reinforcement Learning — 5 citations into it

Whom Hossein Hajipour trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Jimmy Ba
4. Jacob Devlin
5. Alex Krizhevsky
6. Yoshua Bengio
7. Danilo Jimenez Rezende
8. Ilya Sutskever
9. Yann LeCun
10. Zohar Manna

Who trusts Hossein Hajipour overall

1. Michihiro Yasunaga
2. Percy Liang

Papers from Hossein Hajipour's perspective

Ordered by how strongly the researchers Hossein Hajipour 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
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

• IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis (2020) — 3 citations
• SampleFix: Learning to Correct Programs by Sampling Diverse Fixes (2019) — 14 citations