Javier Marinkovic

Model Architectures · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Model Architectures — 14 citations into it; #2,227 of 2,278 by trust here, #1,826 by citations
• Artificial Intelligence — 13 citations into it; #34,791 of 35,345 by trust here, #22,463 by citations
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Javier Marinkovic trusts overall

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

1. Kaiming He
2. Lukasz Kaiser
3. Ilya Sutskever
4. Ashish Vaswani
5. Hava T. Siegelmann
6. Geoffrey E. Hinton
7. X. Zhang
8. Yoshua Bengio
9. Alex Graves
10. Peter Shaw

Who trusts Javier Marinkovic overall

1. Zhiyuan Li
2. Angeliki Giannou

Papers from Javier Marinkovic's perspective

Ordered by how strongly the researchers Javier Marinkovic 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• On the Turing Completeness of Modern Neural Network Architectures (2019) — 183 citations