Philipp Wu

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Philipp Wu trusts overall

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

  1. Ronald J. Williams
  2. Diederik P. Kingma
  3. Jimmy Ba
  4. Richard S. Sutton
  5. Geoffrey E. Hinton
  6. Sergey Levine
  7. Timothy P. Lillicrap
  8. Danijar Hafner
  9. Alex Krizhevsky
  10. Yoshua Bengio

Who trusts Philipp Wu overall

  1. Xuxin Cheng
  2. Xuxin Cheng
  3. Chen Tang
  4. Yu-Quan Wang
  5. Kevin Black
  6. Anthony Hu

Papers from Philipp Wu's perspective

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

Their papers