D. Orive

2014

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom D. Orive trusts overall

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

1. David John Cameron MacKay
2. Jaka Demsar
3. Douglas M. Hawkins
4. Rémi Bardenet
5. Derrick Nguyen
6. Frauke Friedrichs
7. Martin T. Hagan
8. Cheng-Lung Huang
9. James Bergstra
10. Frank Hutter

Who trusts D. Orive overall

1. Tong Yu
2. Hong Zhu

Papers from D. Orive's perspective

Ordered by how strongly the researchers D. Orive trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Learning Multiple Layers of Features from Tiny Images
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Attention is All you Need (Neural Information Processing Systems)
7. Going deeper with convolutions
8. ImageNet: A large-scale hierarchical image database
9. Algorithms for Hyper-Parameter Optimization
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Evolutionary algorithms for hyperparameter tuning on neural networks models (2014) — 18 citations