Vahid Noroozi
Artificial Intelligence · 2017–2021
A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it; #7,869 of 35,345 by trust here, #13,353 by citations
- Natural Language Processing — 19 citations into it
- Information Systems — 16 citations into it; #1,147 of 8,771 by trust here, #2,307 by citations
- Recommender Systems — 10 citations into it; #67 of 233 by trust here, #126 by citations
- Computer Vision and Pattern Recognition — 9 citations into it
- Model Architectures — 7 citations into it
Whom Vahid Noroozi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ruslan Salakhutdinov
- David M. Blei
- Alex Krizhevsky
- Yoshua Bengio
- Alex Graves
- Ilya Sutskever
- Steffen Rendle
- Vinod Nair
- Radford M. Neal
Who trusts Vahid Noroozi overall
- Yi Tay
- Xu Chen
- Yongfeng Zhang
- Zhiyong Cheng
- Qingyao Ai
- Aminu Da’u
- Jiaxi Tang
- Anh Tuan Luu
- Chenliang Li
- Hanxiong Chen
Papers from Vahid Noroozi's perspective
Ordered by how strongly the researchers Vahid Noroozi 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- SPGISpeech: 5, 000 hours of transcribed financial audio for fully formatted end-to-end speech recognition (2021) — 113 citations
- Joint Deep Modeling of Users and Items Using Reviews for Recommendation (2017) — 1,122 citations