Jeremy Irvin

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 7 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jeremy Irvin trusts overall

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

  1. Geoffrey E. Hinton
  2. Xiaosong Wang
  3. Diederik P. Kingma
  4. Jia Deng
  5. Kaiming He
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Gao Huang
  9. Yoshua Bengio
  10. Yifan Peng

Who trusts Jeremy Irvin overall

  1. Yuhao Zhang
  2. Thomas Liao
  3. Xiaosong Wang
  4. Joseph D. Janizek
  5. Pranav Rajpurkar
  6. Matthias Lenga
  7. Laleh Seyyed-Kalantari
  8. Maithra Raghu
  9. Luke Oakden-Rayner
  10. Joseph Paul Cohen

Papers from Jeremy Irvin's perspective

Ordered by how strongly the researchers Jeremy Irvin 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers