Hugo Silva
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #27,886 of 35,345 by trust here, #29,412 by citations
- Computer Vision and Pattern Recognition — 19 citations into it; #17,119 of 21,575 by trust here, #18,782 by citations
- Efficiency & Compression — 14 citations into it
- Scaling & Learning Theory — 5 citations into it
Whom Hugo Silva trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Yann LeCun
- Karen Simonyan
- Kaiming He
- Yoshua Bengio
- Jonathan Frankle
- Geoffrey E. Hinton
- Diederik P. Kingma
- David L. Donoho
- Andrew Zisserman
Who trusts Hugo Silva overall
Papers from Hugo Silva's perspective
Ordered by how strongly the researchers Hugo Silva 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
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Winning the Lottery with Continuous Sparsification (2019) — 160 citations