Huseyin Melih Elibol

Artificial Intelligence · 2016

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

Subfields

• Artificial Intelligence — 5 citations into it

Whom Huseyin Melih Elibol trusts overall

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

1. David M. Blei
2. T. Griffiths
3. Jyrki Kivinen

Papers from Huseyin Melih Elibol's perspective

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

1. Finding scientific topics
2. Supervised Topic Models
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet classification with deep convolutional neural networks
7. Exponentiated Gradient Versus Gradient Descent for Linear Predictors
8. Gradient-based learning applied to document recognition
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Supervised topic models for clinical interpretability (2016) — 9 citations