Arthur U. Asuncion

Artificial Intelligence · 2007–2010

A researcher in the Science corpus: 6 papers; trusts 21 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Arthur U. Asuncion trusts overall

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

  1. Radford M. Neal
  2. David M. Blei
  3. Yee Whye Teh
  4. Michael I. Jordan
  5. D. M. Titterington
  6. Geoffrey E. Hinton
  7. T. Griffiths
  8. Ruslan Salakhutdinov
  9. Andrew Y. Ng
  10. Thomas Hofmann

Who trusts Arthur U. Asuncion overall

  1. David M. Blei
  2. Chong Wang
  3. Matthew D. Hoffman
  4. Uttam Chauhan
  5. Ronny Luss
  6. Siegfried Nijssen
  7. Russell D. Wolfinger
  8. Margaret E. Roberts
  9. Lu Zhang
  10. Kamalika Chaudhuri

Papers from Arthur U. Asuncion's perspective

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

Their papers