Seyed-Mahdi Khaligh-Razavi
Cognitive Neuroscience · 2014–2016
A researcher in the Science corpus: 2 papers; trusts 222 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 42 citations into it; #920 of 10,852 by trust here, #2,494 by citations
- Computer Vision and Pattern Recognition — 36 citations into it; #4,557 of 21,575 by trust here, #6,671 by citations
- Neuroscience — 11 citations into it
- Artificial Intelligence — 10 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
Whom Seyed-Mahdi Khaligh-Razavi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aude Oliva
- David G. Lowe
- David H. Hubel
- Alex Krizhevsky
- Geoffrey E. Hinton
- Chih-Jen Lin
- Antonio Torralba
- Stephen Grossberg
- Yoshua Bengio
- Nikolaus Kriegeskorte
Who trusts Seyed-Mahdi Khaligh-Razavi overall
- Nikolaus Kriegeskorte
- Grace W. Lindsay
- Jonas Kubilius
- Leon A. Gatys
- Kshitij Dwivedi
- Umut Güçlü
- Pouya Bashivan
- Adam Henry Marblestone
- Hamid Karimi-Rouzbahani
- Xingyu Lin
Papers from Seyed-Mahdi Khaligh-Razavi's perspective
Ordered by how strongly the researchers Seyed-Mahdi Khaligh-Razavi 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions