Mohammad Motamedi
Computer Vision and Pattern Recognition · 2016–2021
A researcher in the Science corpus: 2 papers; trusts 94 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 16 citations into it; #13,718 of 21,575 by trust here, #14,478 by citations
- Artificial Intelligence — 13 citations into it; #22,201 of 35,345 by trust here, #21,878 by citations
- Efficiency & Compression — 8 citations into it
- Model Architectures — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Mohammad Motamedi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Matthieu Courbariaux
- Kaiming He
- Individualized Treat
- Yann LeCun
- Alex Krizhevsky
- Geoffrey E. Hinton
- Mehdi Mirza
- Alec Radford
- X. Zhang
Who trusts Mohammad Motamedi overall
Papers from Mohammad Motamedi's perspective
Ordered by how strongly the researchers Mohammad Motamedi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Going deeper with convolutions
Their papers
- Hardware-oriented Approximation of Convolutional Neural Networks (2016) — 327 citations
- A Data-Centric Approach for Training Deep Neural Networks with Less Data (2021) — 72 citations