Kelsey R. Allen

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 9 papers; trusts 293 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Kelsey R. Allen trusts overall

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

  1. Richard S. Sutton
  2. Ronald J. Williams
  3. Sergey Levine
  4. Geoffrey E. Hinton
  5. Radford M. Neal
  6. Pieter Abbeel
  7. Chelsea Finn
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Alex Krizhevsky

Who trusts Kelsey R. Allen overall

  1. Chelsea Finn
  2. Mengye Ren
  3. Philipp Holl
  4. Anton Bakhtin
  5. Bowen Baker
  6. James Harrison
  7. Arthur Douillard
  8. Jian Zhang
  9. Yifeng Zhu
  10. Suraj Nair

Papers from Kelsey R. Allen's perspective

Ordered by how strongly the researchers Kelsey R. Allen 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers