Semih Yagcioglu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #31,448 of 35,345 by trust here, #25,040 by citations
• Computer Vision and Pattern Recognition — 20 citations into it; #19,308 of 21,575 by trust here, #16,367 by citations
• Natural Language Processing — 14 citations into it; #5,062 of 5,688 by trust here, #4,601 by citations

Whom Semih Yagcioglu trusts overall

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

1. Kaiming He
2. Quoc V. Le
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. L. Eon Bottou
6. Alex Krizhevsky
7. Tomas Mikolov
8. Yann LeCun
9. Ronan Collobert
10. Diederik P. Kingma

Who trusts Semih Yagcioglu overall

1. Taichi Iki
2. Akiko Aizawa

Papers from Semih Yagcioglu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes (2018) — 196 citations