Marc Juárez

Artificial Intelligence · 2013–2018

A researcher in the Science corpus: 4 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marc Juárez trusts overall

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

  1. Tao Wang
  2. Xiang Cai
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Ian Goldberg
  6. Christian Szegedy
  7. Kaiming He
  8. Karen Simonyan
  9. Yoshua Bengio
  10. Peter Eckersley

Who trusts Marc Juárez overall

  1. Payap Sirinam
  2. Andriy Panchenko
  3. Mohsen Imani

Papers from Marc Juárez's perspective

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

Their papers