Oguzhan Gencoglu

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 59 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it; #11,895 of 35,345 by trust here, #25,040 by citations
• Safety, Robustness & Interpretability — 37 citations into it; #822 of 2,251 by trust here, #2,014 by citations
• Natural Language Processing — 27 citations into it; #2,284 of 5,688 by trust here, #4,793 by citations
• Computer Vision and Pattern Recognition — 22 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Statistics and Probability — 11 citations into it
• Information Systems — 9 citations into it
• Model Architectures — 7 citations into it

Whom Oguzhan Gencoglu trusts overall

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

1. Davide Chicco
2. Iroon Polytechniou
3. Quoc V. Le
4. Lucas Dixon
5. Barret Zoph
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Yoshua Bengio
9. Ellery Wulczyn
10. Ameya Vaidya

Who trusts Oguzhan Gencoglu overall

1. Svetlana Kiritchenko
2. Jing Xu
3. Isar Nejadgholi
4. Emily Dinan
5. Da Ju
6. Kathleen C. Fraser
7. Paula Czarnowska
8. A. S. Bergman
9. Y-Lan Boureau
10. Nitesh Goyal

Papers from Oguzhan Gencoglu's perspective

Ordered by how strongly the researchers Oguzhan Gencoglu 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Cyberbullying Detection With Fairness Constraints (2020) — 58 citations
• HARK Side of Deep Learning - From Grad Student Descent to Automated Machine Learning (2019) — 38 citations