Cameron Musco

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Cameron Musco trusts overall

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

  1. David P. Woodruff
  2. Tamás Sarlós
  3. Jure Leskovec
  4. Nathan Halko
  5. Danny C. Sorensen
  6. Kenneth L. Clarkson
  7. J. Kuczy
  8. Vladimir Rokhlin
  9. Per-Gunnar Martinsson
  10. Michael W. Mahoney

Who trusts Cameron Musco overall

  1. Dan Feldman
  2. Per-Gunnar Martinsson
  3. David P. Woodruff

Papers from Cameron Musco's perspective

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

Their papers