Mevlana Gemici

Generative Models · with Akata · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 15 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 7 citations into it

Whom Mevlana Gemici trusts overall

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

1. Diederik P. Kingma
2. Cédric Villani
3. Sebastian Nowozin
4. Ian J. Goodfellow
5. Max Welling
6. Geoffrey E. Hinton
7. Ishaan Gulrajani
8. Yoshua Bengio
9. Alex Krizhevsky
10. Ilya O. Tolstikhin

Who trusts Mevlana Gemici overall

1. Cem Anil
2. Paulina Grnarova
3. James Lucas
4. Kfir Yehuda Levy

Papers from Mevlana Gemici's perspective

Ordered by how strongly the researchers Mevlana Gemici 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Primal-Dual Wasserstein GAN (2018) — 14 citations