Nina Otter

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nina Otter trusts overall

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

  1. Gunnar E. Carlsson
  2. Robert Ghrist
  3. Peter Bubenik
  4. Charu C. Aggarwal
  5. Jakob Jonsson
  6. Afra Zomorodian
  7. Diederik P. Kingma
  8. Duncan J. Watts
  9. Timothy A. Davis
  10. Omer Bobrowski

Who trusts Nina Otter overall

  1. Christian Bick
  2. James R. Clough
  3. Michael T. Schaub
  4. Elizabeth Gross

Papers from Nina Otter's perspective

Ordered by how strongly the researchers Nina Otter 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers