Michael C. Frank

Artificial Intelligence · 2007–2020

A researcher in the Science corpus: 15 papers; trusts 57 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Michael C. Frank trusts overall

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

  1. Stephen C. Levinson
  2. Linda B. Smith
  3. Noah D. Goodman
  4. Hanako Yoshida
  5. Adele E. Goldberg
  6. Josh Tenenbaum
  7. P. Bloom
  8. H. Goodluck
  9. Geoffrey E. Hinton
  10. Brian MacWhinney

Who trusts Michael C. Frank overall

  1. Noah D. Goodman
  2. Rowan Zellers
  3. Sahisnu Mazumder
  4. Daniel Fried
  5. Julian Jara-Ettinger
  6. Tomer D. Ullman
  7. Sida I. Wang
  8. Alexa Stiller
  9. Ari Holtzman
  10. Sheng Shen

Papers from Michael C. Frank's perspective

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

Their papers