Alex Gomez-Villa

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 190 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it
• Computer Vision and Pattern Recognition — 52 citations into it
• Representation & Self-Supervised Learning — 31 citations into it
• Efficiency & Compression — 6 citations into it

Whom Alex Gomez-Villa trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Yann LeCun
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Karen Simonyan
10. Jia Deng

Who trusts Alex Gomez-Villa overall

1. Mert Kilickaya
2. Joost van de Weijer

Papers from Alex Gomez-Villa's perspective

Ordered by how strongly the researchers Alex Gomez-Villa trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Continually Learning Self-Supervised Representations with Projected Functional Regularization (2021) — 58 citations