Mitali Bafna

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Mitali Bafna trusts overall

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

  1. Cynthia Dwork
  2. E.J. Candes
  3. Yann LeCun
  4. Nicolas Papernot
  5. Frank McSherry
  6. Haitham Hassanieh
  7. Kaiming He
  8. Jonathan Ullman
  9. Kobbi Nissim
  10. Nicholas Carlini

Who trusts Mitali Bafna overall

  1. Thomas Steinke
  2. Jonathan Ullman
  3. Florian Tramèr
  4. Mark Bun
  5. Cynthia Dwork
  6. Nicolas Papernot
  7. Nicholas Carlini
  8. Jens Behrmann
  9. Jörn-Henrik Jacobsen
  10. Guy N. Rothblum

Papers from Mitali Bafna's perspective

Ordered by how strongly the researchers Mitali Bafna 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  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