Walter S. Lasecki

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 9 papers; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Walter S. Lasecki trusts overall

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

  1. Jeffrey P. Bigham
  2. Geoffrey E. Hinton
  3. Shaun K. Kane
  4. Yarin Gal
  5. Jimmy Ba
  6. Diederik P. Kingma
  7. Jan Bosch
  8. Greg Little
  9. Yoshua Bengio
  10. Chandrika Jayant

Who trusts Walter S. Lasecki overall

  1. Been Kim
  2. Finale Doshi-Velez

Papers from Walter S. Lasecki's perspective

Ordered by how strongly the researchers Walter S. Lasecki trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Distilling the Knowledge in a Neural Network (arXiv.org)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers