Luis Barba
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 96 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 37 citations into it; #26,504 of 35,345 by trust here, #24,417 by citations
- Computer Vision and Pattern Recognition — 35 citations into it; #16,233 of 21,575 by trust here, #15,955 by citations
- Efficiency & Compression — 24 citations into it; #910 of 1,264 by trust here, #1,092 by citations
- Model Architectures — 9 citations into it
- Optimization & Training — 9 citations into it
Whom Luis Barba trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Yann LeCun
- Yoshua Bengio
- Karen Simonyan
- Diederik P. Kingma
- X. Zhang
- Ross B. Girshick
- Jia Deng
Who trusts Luis Barba overall
Papers from Luis Barba's perspective
Ordered by how strongly the researchers Luis Barba 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Dynamic Model Pruning with Feedback (2020) — 232 citations