Joanna Bitton

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 6 papers; trusts 201 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Joanna Bitton trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Mingxing Tan
  4. Quoc V. Le
  5. Andrew Zisserman
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. X. Zhang
  9. François Chollet
  10. Yoshua Bengio

Who trusts Joanna Bitton overall

  1. Tanmay Gupta
  2. Kaede Shiohara
  3. Sohail Ahmed Khan
  4. Eric Michael Smith
  5. Aniruddha Kembhavi

Papers from Joanna Bitton's perspective

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

Their papers