Ricardo F. Alvear-Sandoval
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Model Architectures — 9 citations into it
- Optimization & Training — 7 citations into it
Whom Ricardo F. Alvear-Sandoval trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Yann LeCun
- Paul Smolensky
- Trevor J. Hastie
- Yoav Freund
- Pascal Vincent
- Christian Szegedy
- Ilya Sutskever
- Alex Krizhevsky
Papers from Ricardo F. Alvear-Sandoval's perspective
Ordered by how strongly the researchers Ricardo F. Alvear-Sandoval 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
- Attention is All you Need (Neural Information Processing Systems)
- 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