Maria Skoularidou

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #31,901 of 35,345 by trust here, #25,040 by citations
• Generative Models — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it; #19,589 of 21,575 by trust here, #16,367 by citations

Whom Maria Skoularidou trusts overall

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

1. Radford M. Neal
2. Jerome P. Reiter
3. Sergey Ioffe
4. Geoffrey E. Hinton
5. Martín Arjovsky
6. Graham Cormode
7. Nitish Srivastava
8. Eric Jang
9. Christian Szegedy
10. Alex Krizhevsky

Who trusts Maria Skoularidou overall

1. Samuel A. Assefa
2. Vadim Borisov
3. Akim Kotelnikov
4. Zilong Zhao

Papers from Maria Skoularidou's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. GENERATIVE ADVERSARIAL NETS
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Dropout: a simple way to prevent neural networks from overfitting
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Modeling Tabular data using Conditional GAN (2019) — 2,053 citations