Vincent Nozick

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Vincent Nozick trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Karen Simonyan
  5. Ilya Sutskever
  6. Jimmy Ba
  7. François Chollet
  8. Davis E. King
  9. Christian Szegedy
  10. Yoshua Bengio

Who trusts Vincent Nozick overall

  1. Luisa Verdoliva
  2. Huy Hoang Le Nguyen
  3. Thanh Thi Nguyen
  4. Davide Cozzolino
  5. Yuezun Li
  6. Andreas Rössler
  7. Nils Hulzebosch
  8. Lucy Chai
  9. Rubén Tolosana
  10. Christian Riess

Papers from Vincent Nozick's perspective

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

Their papers