Berkay Kicanaoglu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 142 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it; #10,568 of 21,575 by trust here, #11,721 by citations
• Artificial Intelligence — 25 citations into it
• Model Architectures — 25 citations into it; #1,223 of 2,278 by trust here, #1,693 by citations
• Generative Models — 17 citations into it
• Computational Mechanics — 8 citations into it; #4,448 of 10,001 by trust here, #4,450 by citations
• Graph Learning — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Berkay Kicanaoglu trusts overall

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

1. Taco Cohen
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Max Welling
5. Alex Krizhevsky
6. Kaiming He
7. Risi Kondor
8. Yann LeCun
9. Yoshua Bengio
10. Christian Szegedy

Who trusts Berkay Kicanaoglu overall

1. Erik J. Bekkers
2. David W. Romero
3. Maurice Weiler

Papers from Berkay Kicanaoglu's perspective

Ordered by how strongly the researchers Berkay Kicanaoglu 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. GENERATIVE ADVERSARIAL NETS
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Layer-Based Sequential Framework for Scene Generation with GANs (2019) — 38 citations
• Gauge Equivariant Convolutional Networks and the Icosahedral CNN (2019) — 474 citations