Jenna Wiens

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 6 papers; trusts 20 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jenna Wiens trusts overall

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

  1. Radford M. Neal
  2. Ali H. Shoeb
  3. Alex Smola
  4. Kaiming He
  5. E. Dubberke
  6. John V. Guttag
  7. Bernhard Schölkopf
  8. Geoffrey E. Hinton
  9. Vladimir Naumovich Vapnik
  10. Hui Zou

Who trusts Jenna Wiens overall

  1. Rodolfo Stoffel Antunes
  2. Sarah Graham
  3. Cynthia Rudin
  4. Cristiano André da Costa
  5. Colin A. Depp
  6. Aaron Springer
  7. Ellen E. Lee
  8. Onur Asan

Papers from Jenna Wiens's perspective

Ordered by how strongly the researchers Jenna Wiens 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  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