Eriko Nurvitadhi

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 49 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #14,600 of 21,575 by trust here, #9,872 by citations
• Artificial Intelligence — 30 citations into it; #23,642 of 35,345 by trust here, #14,438 by citations
• Efficiency & Compression — 18 citations into it
• Model Architectures — 10 citations into it

Whom Eriko Nurvitadhi trusts overall

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

1. Matthieu Courbariaux
2. Yoshua Bengio
3. Alex Krizhevsky
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Kaiming He
7. Christian Szegedy
8. Ilya Sutskever
9. Andrew Zisserman
10. Yann LeCun

Who trusts Eriko Nurvitadhi overall

1. Sparsh Mittal
2. Tal Ben-Nun
3. Qing Jin
4. Asit K. Mishra
5. Sorin Mihai Grigorescu
6. Michaela Blott
7. Yiwen Han
8. Alexandre D'efossez
9. Debbie Marr
10. Tailin Liang

Papers from Eriko Nurvitadhi's perspective

Ordered by how strongly the researchers Eriko Nurvitadhi 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• WRPN: Wide Reduced-Precision Networks (2017) — 278 citations
• Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks? (2017) — 456 citations
• Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC (2016) — 318 citations