Kevin A. Smith

Artificial Intelligence · 2012–2021

A researcher in the Science corpus: 7 papers; trusts 159 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin A. Smith trusts overall

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

  1. Richard S. Sutton
  2. Jessica B. Hamrick
  3. Ronald J. Williams
  4. Sergey Levine
  5. Geoffrey E. Hinton
  6. Pieter Abbeel
  7. Diederik P. Kingma
  8. Marc Peter Deisenroth
  9. Chelsea Finn
  10. Yoshua Bengio

Who trusts Kevin A. Smith overall

  1. Tomer D. Ullman
  2. Josh Tenenbaum
  3. Tobias Gerstenberg
  4. Peter W. Battaglia
  5. Adam N. Sanborn
  6. Kelsey R. Allen
  7. Jiafei Duan
  8. Noah D. Goodman
  9. Philipp Holl
  10. Jessica B. Hamrick

Papers from Kevin A. Smith's perspective

Ordered by how strongly the researchers Kevin A. 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers