Ian M. Molloy

Artificial Intelligence · 2009–2018

A researcher in the Science corpus: 9 papers; trusts 136 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ian M. Molloy trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Christian Szegedy
  7. Karen Simonyan
  8. Ian J. Goodfellow
  9. Nicolas Papernot
  10. Ilya Sutskever

Who trusts Ian M. Molloy overall

  1. Matthew Jagielski

Papers from Ian M. Molloy's perspective

Ordered by how strongly the researchers Ian M. Molloy 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. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers