Eric Arazo Sanchez
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 24 citations into it; #19,921 of 21,575 by trust here, #11,083 by citations
- Artificial Intelligence — 20 citations into it; #32,332 of 35,345 by trust here, #16,471 by citations
Whom Eric Arazo Sanchez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Jia Deng
- Ross B. Girshick
- Diederik P. Kingma
- X. Zhang
- Yann LeCun
- Ilya Sutskever
Who trusts Eric Arazo Sanchez overall
- Pengfei Chen
- Junnan Li
- Dongkai Wang
- Kawin Ethayarajh
- Hwanjun Song
- Swabha Swayamdipta
- Geoff Pleiss
- Guangyong Chen
- Lu Jiang
- Shoaib Ahmed Siddiqui
Papers from Eric Arazo Sanchez's perspective
Ordered by how strongly the researchers Eric Arazo Sanchez 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
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Unsupervised label noise modeling and loss correction (2019) — 750 citations