Mohammadreza Armandpour
Computer Vision and Pattern Recognition · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 135 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 59 citations into it
- Artificial Intelligence — 56 citations into it
- Generative Models — 45 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Graph Learning — 9 citations into it
- Natural Language Processing — 9 citations into it
- Optimization & Training — 9 citations into it
- Biophysics — 5 citations into it
Whom Mohammadreza Armandpour trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Jimmy Ba
- Ilya Sutskever
- Sepp Hochreiter
- Karen Simonyan
Who trusts Mohammadreza Armandpour overall
Papers from Mohammadreza Armandpour's perspective
Ordered by how strongly the researchers Mohammadreza Armandpour trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Partition-Guided GANs (2021) — 22 citations
- DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs (2019) — 414 citations