Gábor Melis

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 6 papers; trusts 130 researchers and is trusted by 82 researchers here, as inferred from the citation graph.

Subfields

Whom Gábor Melis trusts overall

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

  1. Diederik P. Kingma
  2. Alex Graves
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Yarin Gal
  8. Jimmy Ba
  9. Wojciech Zaremba
  10. Yann LeCun

Who trusts Gábor Melis overall

  1. Jesse Dodge
  2. Stephen Merity
  3. Nitish Shirish Keskar
  4. Richard Socher
  5. Roy Schwartz
  6. Stefan Falkner
  7. Hanxiao Liu
  8. Yoshua Bengio
  9. Zhilin Yang
  10. Chris Dyer

Papers from Gábor Melis's perspective

Ordered by how strongly the researchers Gábor Melis 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers