Cengiz Pehlevan

Representation & Self-Supervised Learning · with Chklovskii · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Cengiz Pehlevan trusts overall

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

  1. Erkki Oja
  2. Terence D. Sanger
  3. Barbara Olshausen
  4. Andrzej S. Cichocki
  5. Sun-Yuan Kung
  6. Ralph Linsker
  7. Juha Karhunen
  8. Peter Földiák
  9. Bin Yang
  10. J. Rubner

Who trusts Cengiz Pehlevan overall

  1. Arild Nøkland
  2. Mingqing Xiao
  3. Lars Hiller Eidnes
  4. Herbert Jaeger
  5. Anirvan M. Sengupta
  6. Qingyan Meng

Papers from Cengiz Pehlevan's perspective

Ordered by how strongly the researchers Cengiz Pehlevan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
  8. Sparse coding with an overcomplete basis set: a strategy employed by V1?
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers