Ross A. Knepper

Computer Vision and Pattern Recognition · 2009–2020

A researcher in the Science corpus: 9 papers; trusts 195 researchers and is trusted by 72 researchers here, as inferred from the citation graph.

Subfields

Whom Ross A. Knepper trusts overall

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

  1. Geoffrey E. Hinton
  2. Sergey Levine
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Kaiming He
  7. Ilya Sutskever
  8. Yann LeCun
  9. Rosen Diankov
  10. Alex Graves

Who trusts Ross A. Knepper overall

  1. Sergey Levine
  2. Lei Tai
  3. Chelsea Finn
  4. Pieter Abbeel
  5. Jason Aaron Edward Weston
  6. Frederik D. Ebert
  7. Stefanie Tellex
  8. Junhyuk Oh
  9. Jesse Thomason
  10. Bradley Hayes

Papers from Ross A. Knepper's perspective

Ordered by how strongly the researchers Ross A. Knepper 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. 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. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers