Alp Eren Akçay

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Control and Systems Engineering — 17 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Mechanical Engineering — 10 citations into it
• Optimization & Training — 6 citations into it

Whom Alp Eren Akçay trusts overall

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

1. Diederik P. Kingma
2. Paul J. Werbos
3. Geoffrey E. Hinton
4. Xiang Li
5. Yoshua Bengio
6. Sepp Hochreiter
7. Alex Krizhevsky
8. Individualized Treat
9. Jimmy Ba
10. J. Urgen Schmidhuber

Who trusts Alp Eren Akçay overall

1. Manuel Arias Chao

Papers from Alp Eren Akçay's perspective

Ordered by how strongly the researchers Alp Eren Akçay 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Learning fuzzy decision trees using integer programming (2018) — 11 citations
• Remaining Useful Lifetime Prediction via Deep Domain Adaptation (2019) — 346 citations