Ali Taylan Cemgil

Artificial Intelligence · 2009–2018

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Taylan Cemgil trusts overall

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

  1. Daniel D. Lee
  2. Radford M. Neal
  3. Tim Hesterberg
  4. Patrik O. Hoyer
  5. Zoubin Ghahramani
  6. P. Paatero
  7. Wray L. Buntine
  8. Matthew J. Beal
  9. Hans-Jürgen Sebastian
  10. Ajit Paul Singh

Who trusts Ali Taylan Cemgil overall

  1. Prem Gopalan
  2. Cédric Févotte
  3. Jake M. Hofman
  4. David M. Blei
  5. Jérôme Idier
  6. Rémi Bardenet
  7. Alexey Ozerov
  8. Yixin Wang
  9. Matthias W. Seeger
  10. Alp Kucukelbir

Papers from Ali Taylan Cemgil's perspective

Ordered by how strongly the researchers Ali Taylan Cemgil trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers