Emre Aksan

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Emre Aksan trusts overall

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

  1. Daniel Holden
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Nitish Srivastava
  5. Ashish Vaswani
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Wei Mao
  9. Michael J. Black
  10. Yoshua Bengio

Papers from Emre Aksan's perspective

Ordered by how strongly the researchers Emre Aksan 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers