Nicholas Locascio

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Nicholas Locascio trusts overall

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

  1. Ilya Sutskever
  2. Sepp Hochreiter
  3. Geoffrey E. Hinton
  4. Dzmitry Bahdanau
  5. Yoshua Bengio
  6. Volodymyr Mnih
  7. J. Urgen Schmidhuber
  8. Alex Krizhevsky
  9. Alex Graves
  10. Nitish Srivastava

Who trusts Nicholas Locascio overall

  1. Xi Victoria Lin
  2. Jayant Krishnamurthy
  3. Pengcheng Yin
  4. Yan Wang
  5. Srini Iyer
  6. Shirley Anugrah Hayati
  7. Parker Riley
  8. Isaac Caswell
  9. Pradeep Dasigi
  10. Xiaojiang Liu

Papers from Nicholas Locascio's perspective

Ordered by how strongly the researchers Nicholas Locascio 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  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