F. Pasa
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 14 citations into it
- Artificial Intelligence — 11 citations into it
Whom F. Pasa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Sergey Ioffe
- Karen Simonyan
- Geoffrey E. Hinton
- Xavier Glorot
- Yoshua Bengio
- Christian Szegedy
- Ilya Sutskever
- Diederik P. Kingma
Papers from F. Pasa's perspective
Ordered by how strongly the researchers F. Pasa 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
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions