Aaron Ferber

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aaron Ferber trusts overall

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

  1. Harrison Edwards
  2. Proteek Chandan Roy
  3. Moritz Hardt
  4. Muhammad Bilal Zafar

Who trusts Aaron Ferber overall

  1. Ninareh Mehrabi

Papers from Aaron Ferber's perspective

Ordered by how strongly the researchers Aaron Ferber 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers