Eric Arazo

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 67 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 30 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Optimization & Training — 10 citations into it

Whom Eric Arazo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yoshua Bengio
6. Ilya Sutskever
7. Yann LeCun
8. X. Zhang
9. Ross B. Girshick
10. Oriol Vinyals

Who trusts Eric Arazo overall

1. Andrew Tao
2. Paola Cascante-Bonilla
3. Tatiana Likhomanenko
4. Michael Desmond
5. Kihyuk Sohn
6. Yidong Wang
7. Yuchao Wang
8. Xuxin Chen
9. Lihe Yang
10. Karan Sapra

Papers from Eric Arazo's perspective

Ordered by how strongly the researchers Eric Arazo trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning (2019) — 1,104 citations