Julia Tavares

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it; #17,108 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 13 citations into it; #27,822 of 35,345 by trust here, #27,551 by citations
• Safety, Robustness & Interpretability — 5 citations into it

Whom Julia Tavares trusts overall

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

1. Yann LeCun
2. Ian J. Goodfellow
3. Diederik P. Kingma
4. Karol Gregor
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Christian Szegedy
8. Alex Krizhevsky
9. Alex Graves
10. Ilya Sutskever

Who trusts Julia Tavares overall

1. Jernej Kos
2. Xiaoyong Yuan

Papers from Julia Tavares's perspective

Ordered by how strongly the researchers Julia Tavares 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. Gradient-based learning applied to document recognition
4. GENERATIVE ADVERSARIAL NETS
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Adversarial Images for Variational Autoencoders (2016) — 92 citations