Collin J Tokheim

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Collin J Tokheim trusts overall

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

  1. Yali Amit
  2. Donald Geman
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Dzmitry Bahdanau
  6. Kyunghyun Cho
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. Ilya Sutskever

Papers from Collin J Tokheim's perspective

Ordered by how strongly the researchers Collin J Tokheim 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers