Xaq Pitkow

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 5 papers; trusts 75 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Xaq Pitkow trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Alex Krizhevsky
  6. Barak A. Pearlmutter
  7. Jimmy Ba
  8. Yann LeCun
  9. Ilya Sutskever
  10. Xavier Glorot

Who trusts Xaq Pitkow overall

  1. Zhiwei Jia
  2. Yanan Sun
  3. Hao Su

Papers from Xaq Pitkow's perspective

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

Their papers