Michael Roth

Artificial Intelligence · with Modi · 2010–2018

A researcher in the Science corpus: 7 papers; trusts 227 researchers and is trusted by 66 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Roth trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Sepp Hochreiter
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Karen Simonyan
  8. J. Urgen Schmidhuber
  9. Richard Socher
  10. Yann LeCun

Who trusts Michael Roth overall

  1. Daniel Khashabi
  2. Diego Marcheggiani
  3. Tushar Khot
  4. Luheng He
  5. Ivan Titov
  6. Nanyun Peng
  7. Ashish Sabharwal
  8. Rajkumar Pujari
  9. Kai Sun
  10. Dan Roth

Papers from Michael Roth's perspective

Ordered by how strongly the researchers Michael Roth 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. ImageNet classification with deep convolutional neural networks
  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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers