Eduardo Marques Pereira
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 61 citations into it; #17,051 of 35,345 by trust here, #13,163 by citations
- Safety, Robustness & Interpretability — 41 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
- Natural Language Processing — 8 citations into it
- AI Ethics, Fairness & Society — 7 citations into it
- Health Informatics — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom Eduardo Marques Pereira trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Been Kim
- Alex Krizhevsky
- Yoshua Bengio
- Zachary Chase Lipton
- Kaiming He
- Stefan Rüping
- Yann LeCun
- Diederik P. Kingma
- Ilya Sutskever
Who trusts Eduardo Marques Pereira overall
Papers from Eduardo Marques Pereira's perspective
Ordered by how strongly the researchers Eduardo Marques Pereira trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Machine Learning Interpretability: A Survey on Methods and Metrics (2019) — 1,674 citations