Paulo Eduardo Rauber
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it; #30,637 of 35,345 by trust here, #22,463 by citations
- Computer Vision and Pattern Recognition — 18 citations into it; #18,798 of 21,575 by trust here, #14,822 by citations
- Optimization & Training — 7 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Paulo Eduardo Rauber trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- L. V. D. van der Maaten
- Yann LeCun
- Alex Graves
- Ilya Sutskever
- J. Urgen Schmidhuber
- Diederik P. Kingma
- Ruslan Salakhutdinov
Who trusts Paulo Eduardo Rauber overall
- Giulia Vilone
- Yao Ming
- José Padarian
- Richard Meyes
- Bilal Alsallakh
- Longo Luca
- Budiman Minasny
- Constantin Waubert de Puiseau
- Amin Jourabloo
Papers from Paulo Eduardo Rauber's perspective
Ordered by how strongly the researchers Paulo Eduardo Rauber 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
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Visualizing the Hidden Activity of Artificial Neural Networks (2017) — 311 citations