Michael S. Albergo

Computer Vision and Pattern Recognition · 2019–2024

A researcher in the Science corpus: 5 papers; trusts 262 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Michael S. Albergo trusts overall

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

  1. Diederik P. Kingma
  2. Yang Song
  3. Geoffrey E. Hinton
  4. Esteban G. Tabak
  5. Yoshua Bengio
  6. Pascal Vincent
  7. Iain Murray
  8. Alex Krizhevsky
  9. Danilo Jimenez Rezende
  10. Jonathan Ho

Who trusts Michael S. Albergo overall

  1. Nanye Ma
  2. Xingchao Liu
  3. Nicholas Matthew Boffi
  4. Hao Wu
  5. Zhengyang Geng
  6. Jonas Köhler
  7. Mark Goldstein
  8. Eric Vanden-Eijnden
  9. Xiwen Zhang
  10. Mingyang Deng

Papers from Michael S. Albergo's perspective

Ordered by how strongly the researchers Michael S. Albergo 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers