Mehmet Aydar

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mehmet Aydar trusts

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

  1. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  2. Andrej Karpathy (in Computer Vision and Pattern Recognition)

Papers from Mehmet Aydar's perspective

Ordered by how strongly the researchers Mehmet Aydar 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. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Visual-Semantic Alignments for Generating Image Descriptions
  5. Mastering the game of Go with deep neural networks and tree search
  6. Gradient-based learning applied to document recognition
  7. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers