Rachel M. Bittner

Computer Vision and Pattern Recognition · 2014–2019

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Rachel M. Bittner trusts overall

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

  1. J. Stephen Downie
  2. Diederik P. Kingma
  3. Justin Salamon
  4. Matthias Mauch
  5. Geoffrey E. Hinton
  6. Beth T. Logan
  7. Sugato Chakravarty
  8. Aäron van den Oord
  9. L. V. D. van der Maaten
  10. Yoshua Bengio

Who trusts Rachel M. Bittner overall

  1. Naoya Takahashi
  2. Brian McFee
  3. Laure Prétet
  4. Romain Hennequin
  5. Alice Cohen-Hadria
  6. Jong Wook Kim
  7. Eric J. Humphrey
  8. Alexandre D'efossez
  9. Andreas Jansson
  10. Yuki Mitsufuji

Papers from Rachel M. Bittner's perspective

Ordered by how strongly the researchers Rachel M. Bittner trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. Et al

Their papers