Elisa Kreiss

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Elisa Kreiss trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Nils Reimers
  4. Peter Anderson
  5. Tsung-Yi Lin
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Ramakrishna Vedantam
  10. X. Zhang

Who trusts Elisa Kreiss overall

  1. Andy Zeng

Papers from Elisa Kreiss's perspective

Ordered by how strongly the researchers Elisa Kreiss 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers