Dan Otter

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 303 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dan Otter trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. J. Urgen Schmidhuber
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Richard Socher
  8. Yann LeCun
  9. Tomas Mikolov
  10. Kyunghyun Cho

Who trusts Dan Otter overall

  1. Zhijin Qin
  2. Diksha Khurana
  3. Le Wu
  4. Di Wang
  5. Christopher Rackauckas
  6. Iqbal H. Sarker
  7. Xiaoming Tao
  8. Aditya Koli
  9. Xiangnan He
  10. Jing Zhang

Papers from Dan Otter's perspective

Ordered by how strongly the researchers Dan Otter 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers