Can Bülent Karakus

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 48 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Can Bülent Karakus trusts overall

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

  1. Michael W. Mahoney
  2. E.J. Candes
  3. Yann LeCun
  4. Aryan Mokhtari
  5. Sanghamitra Dutta
  6. Petros Drineas
  7. Kangwook Lee
  8. Terence Tao
  9. Geoffrey E. Hinton
  10. Diederik P. Kingma

Who trusts Can Bülent Karakus overall

  1. Deepesh Data
  2. Suhas N. Diggavi
  3. Linqi Song
  4. Giovanni Neglia
  5. Sanghamitra Dutta
  6. Aurick Qiao
  7. Saurav Prakash
  8. Ahmed Khaled
  9. Amirhossein Reisizadeh
  10. Farzin Haddadpour

Papers from Can Bülent Karakus's perspective

Ordered by how strongly the researchers Can Bülent Karakus 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers