Lance M. Kaplan

Artificial Intelligence · 2006–2020

A researcher in the Science corpus: 7 papers; trusts 65 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Lance M. Kaplan trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Radford M. Neal
  5. Alex Krizhevsky
  6. Yarin Gal
  7. Ian J. Goodfellow
  8. Yoshua Bengio
  9. Judea Pearl
  10. Max Welling

Who trusts Lance M. Kaplan overall

  1. Alun David Preece
  2. Richard J. Tomsett

Papers from Lance M. Kaplan's perspective

Ordered by how strongly the researchers Lance M. Kaplan 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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