Laleh Seyyed-Kalantari

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Laleh Seyyed-Kalantari trusts overall

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

  1. Thorsten Dickhaus
  2. Moritz Hardt
  3. Jia Deng
  4. Alistair E. W. Johnson
  5. Gao Huang
  6. Geoffrey E. Hinton
  7. Richard S. Zemel
  8. Diederik P. Kingma
  9. Pranav Rajpurkar
  10. Alex Krizhevsky

Who trusts Laleh Seyyed-Kalantari overall

  1. Irene Y. Chen

Papers from Laleh Seyyed-Kalantari's perspective

Ordered by how strongly the researchers Laleh Seyyed-Kalantari 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers