David García

Artificial Intelligence · with Agrawal · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Natural Language Processing — 15 citations into it
• Signal Processing — 7 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom David García trusts overall

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

1. Tomas Mikolov
2. Quoc V. Le
3. Ilya Sutskever
4. David G. Lowe
5. Hai Liang
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. Faiyaz Al Zamal
9. Alex Krizhevsky
10. Florian Eyben

Who trusts David García overall

1. Ashima Yadav

Papers from David García's perspective

Ordered by how strongly the researchers David García 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet Large Scale Visual Recognition Challenge
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• A survey of multimodal sentiment analysis (2017) — 609 citations
• Collective aspects of privacy in the Twitter social network (2018) — 30 citations