Carlos Sampedro
Computer Vision and Pattern Recognition · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 142 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 47 citations into it
- Artificial Intelligence — 29 citations into it
- Aerospace Engineering — 20 citations into it
- Reinforcement Learning — 9 citations into it
- Model Architectures — 7 citations into it
- Control and Systems Engineering — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
- Robotics & Control — 5 citations into it
Whom Carlos Sampedro trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Ilya Sutskever
- Yoshua Bengio
- Ross B. Girshick
- Yann LeCun
- Kaiming He
- Sergey Levine
- Chih-Jen Lin
Who trusts Carlos Sampedro overall
Papers from Carlos Sampedro's perspective
Ordered by how strongly the researchers Carlos Sampedro 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge