Daniel Smilkov

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 5 papers; trusts 39 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Smilkov trusts overall

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

  1. Christian Szegedy
  2. Karen Simonyan
  3. Matthew D. Zeiler
  4. Yann LeCun
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Rob Fergus
  9. Andrew Zisserman
  10. Ilya Sutskever

Who trusts Daniel Smilkov overall

  1. Wojciech Samek
  2. Eric Wallace
  3. Chih-Kuan Yeh
  4. Been Kim
  5. Laura Rieger
  6. Sara Hooker
  7. Mengnan Du
  8. Pieter-Jan Kindermans
  9. Giulia Vilone
  10. Ramitha Sundar

Papers from Daniel Smilkov's perspective

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

Their papers