Siavash Sakhavi
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Cognitive Neuroscience — 10 citations into it; #6,584 of 10,852 by trust here, #7,860 by citations
- Optimization & Training — 7 citations into it
- Model Architectures — 6 citations into it
Whom Siavash Sakhavi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yann LeCun
- Kunihiko Fukushima
- Geoffrey E. Hinton
- Sergey Ioffe
- Karen Simonyan
- Stephen J. Wright
- Matthew D. Zeiler
- Alex Krizhevsky
- Jaka Demsar
Who trusts Siavash Sakhavi overall
- Xiaokang Zhou
- Yonghao Song
- Yi Ding
- Ce Ju
- Xiaotong Gu
- Y. Li
- O-Yeon Kwon
- Qingqing Zheng
- Cuntai Guan
- Neethu Robinson
Papers from Siavash Sakhavi's perspective
Ordered by how strongly the researchers Siavash Sakhavi 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images