Maria Torres Vega
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
- Reinforcement Learning — 6 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Maria Torres Vega trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ruslan Salakhutdinov
- Richard S. Sutton
- Longxin Lin
- Tijmen Tieleman
- Radford M. Neal
- Alex Krizhevsky
- Kyunghyun Cho
- Yann LeCun
Who trusts Maria Torres Vega overall
Papers from Maria Torres Vega's perspective
Ordered by how strongly the researchers Maria Torres Vega 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)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- 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)