Smitha Milli

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 7 papers; trusts 214 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Smitha Milli trusts overall

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

  1. Kaiming He
  2. Andrew Y. Ng
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Karen Simonyan
  6. Pieter Abbeel
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Smitha Milli overall

  1. Matthew Jagielski
  2. Tom Everitt
  3. Daniel S. Brown
  4. Maria Rigaki
  5. Erwan Le Merrer
  6. Geoffrey Irving
  7. Hengrui Jia
  8. Jessy Lin
  9. Nicholas Carlini
  10. Victoria Krakovna

Papers from Smitha Milli's perspective

Ordered by how strongly the researchers Smitha Milli 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers