taylan. cemgil

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it
• Computer Vision and Pattern Recognition — 51 citations into it
• Safety, Robustness & Interpretability — 37 citations into it

Whom taylan. cemgil trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Christian Szegedy
6. Yoshua Bengio
7. Ilya Sutskever
8. Yann LeCun
9. Ian J. Goodfellow
10. Karen Simonyan

Papers from taylan. cemgil's perspective

Ordered by how strongly the researchers taylan. cemgil 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. Learning Multiple Layers of Features from Tiny Images
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations (2019) — 60 citations
• Contrastive Training for Improved Out-of-Distribution Detection (2020) — 271 citations