Tamara Broderick

Artificial Intelligence · 2011–2022

A researcher in the Science corpus: 12 papers; trusts 140 researchers and is trusted by 50 researchers here, as inferred from the citation graph.

Subfields

Whom Tamara Broderick trusts overall

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

  1. Michael I. Jordan
  2. Radford M. Neal
  3. David M. Blei
  4. Matthew D. Hoffman
  5. Yann LeCun
  6. Max Welling
  7. Geoffrey E. Hinton
  8. Diederik P. Kingma
  9. Tom Minka
  10. Yee Whye Teh

Who trusts Tamara Broderick overall

  1. Trevor Campbell
  2. Thang D. Bui
  3. Jacky Y. Zhang
  4. Cuong V Nguyen
  5. Krishnateja Killamsetty
  6. Yingzhen Li
  7. Dustin Tran
  8. David M. Blei
  9. Mikhail Yurochkin
  10. Richard E. Turner

Papers from Tamara Broderick's perspective

Ordered by how strongly the researchers Tamara Broderick 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  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