Ian Dewancker

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Ian Dewancker trusts overall

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

1. James Bergstra
2. Katharina Eggensperger
3. Jasper Snoek
4. Frank Hutter
5. Ruben Martinez-Cantin
6. Jaka Demsar
7. Yoshua Bengio
8. Holger H. Hoos
9. Geoffrey E. Hinton
10. Hugo Larochelle

Who trusts Ian Dewancker overall

1. Sakorn Mekruksavanich
2. Lisha Li
3. Anuchit Jitpattanakul

Papers from Ian Dewancker's perspective

Ordered by how strongly the researchers Ian Dewancker 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Stratified Analysis of Bayesian Optimization Methods (2016) — 39 citations