Derya Soydaner

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 688 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 78 citations into it
• Computer Vision and Pattern Recognition — 64 citations into it
• Model Architectures — 47 citations into it
• Natural Language Processing — 27 citations into it
• Efficiency & Compression — 16 citations into it
• Large Language Models — 14 citations into it
• Cognitive Neuroscience — 10 citations into it
• Multimodal Learning — 10 citations into it

Whom Derya Soydaner trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ilya Sutskever
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Alex Graves
7. Jimmy Ba
8. Oriol Vinyals
9. Kaiming He
10. Yann LeCun

Papers from Derya Soydaner's perspective

Ordered by how strongly the researchers Derya Soydaner 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Attention mechanism in neural networks: where it comes and where it goes (2022) — 385 citations