Gergely Ács

Artificial Intelligence · 2011–2017

A researcher in the Science corpus: 5 papers; trusts 57 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Gergely Ács trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Per Austrin
  6. Yoshua Bengio
  7. Tijmen Tieleman
  8. Ian J. Goodfellow
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts Gergely Ács overall

  1. Slawomir Goryczka
  2. Jinhyun So
  3. Apostolos Pyrgelis
  4. Sergey I. Nikolenko
  5. Muneeb Ul Hassan
  6. Li Xiong
  7. Basak Guler
  8. Carmela Troncoso
  9. Ying-Cheng Lu
  10. Neil Zhenqiang Gong

Papers from Gergely Ács's perspective

Ordered by how strongly the researchers Gergely Ács 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  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. Going deeper with convolutions

Their papers