Abigale Stangl

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 200 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Abigale Stangl trusts overall

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

  1. Oriol Vinyals
  2. Tsung-Yi Lin
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Kaiming He
  7. Erin L. Brady
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Ross B. Girshick

Who trusts Abigale Stangl overall

  1. Dora Zhao
  2. Amanpreet Singh

Papers from Abigale Stangl's perspective

Ordered by how strongly the researchers Abigale Stangl 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers