Laura M. Smith

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 5 papers; trusts 179 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Laura M. Smith trusts overall

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

  1. Sergey Levine
  2. Pieter Abbeel
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Richard S. Sutton
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. John Schulman
  9. Stefan Schaal
  10. Yann LeCun

Who trusts Laura M. Smith overall

  1. Sergey Levine
  2. Ajay Mandlekar
  3. Kevin Zakka
  4. Dibya Ghosh
  5. Kimin Lee
  6. Carlos Florensa
  7. Carles Gelada
  8. Danfei Xu
  9. Nir Levine
  10. Danijar Hafner

Papers from Laura M. Smith's perspective

Ordered by how strongly the researchers Laura M. Smith 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers