Jose Javier Gonzalez Ortiz
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 109 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 43 citations into it; #16,702 of 21,575 by trust here, #11,498 by citations
- Artificial Intelligence — 35 citations into it; #27,235 of 35,345 by trust here, #17,110 by citations
- Efficiency & Compression — 33 citations into it; #957 of 1,264 by trust here, #863 by citations
Whom Jose Javier Gonzalez Ortiz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Michael C. Mozer
- Diederik P. Kingma
- Song Han
- Karen Simonyan
- Jia Deng
Who trusts Jose Javier Gonzalez Ortiz overall
- Jonathan Frankle
- Alex Renda
- Marwa El Halabi
- Shishir G. Patil
- Mingjie Sun
- Jonathan S. Rosenfeld
- Hidenori Tanaka
- Benoit Steiner
- Neil C. Thompson
- Tianzong Yu
Papers from Jose Javier Gonzalez Ortiz's perspective
Ordered by how strongly the researchers Jose Javier Gonzalez Ortiz 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
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- What is the State of Neural Network Pruning? (2020) — 1,270 citations