Michal Rosen-Zvi

Artificial Intelligence · Conference on Uncertainty in Artificial Intelligence · 2004–2010

A researcher in the Science corpus: 5 papers; trusts 26 researchers and is trusted by 91 researchers here, as inferred from the citation graph.

Subfields

Whom Michal Rosen-Zvi trusts overall

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

  1. T. Griffiths
  2. David M. Blei
  3. Geoffrey E. Hinton
  4. Tom Minka
  5. Mark Steyvers
  6. John F. Canny
  7. Thomas Hofmann
  8. Michael I. Jordan
  9. Xing Wei
  10. John D. Lafferty

Who trusts Michal Rosen-Zvi overall

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ruslan Salakhutdinov
  4. David M. Blei
  5. Kyunghyun Cho
  6. Sergey Levine
  7. Trevor Darrell
  8. Quoc V. Le
  9. Zhe Gan
  10. Dacheng Tao

Papers from Michal Rosen-Zvi's perspective

Ordered by how strongly the researchers Michal Rosen-Zvi 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. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers