Micah J. Smith

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Micah J. Smith trusts overall

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

  1. Randal S. Olson
  2. James Max Kanter
  3. David M. Blei
  4. Matthias Feurer
  5. Andrew Y. Ng
  6. Michael I. Jordan
  7. Kalyan Veeramachaneni
  8. Frank Hutter
  9. Geoffrey E. Hinton
  10. Yoshua Bengio

Who trusts Micah J. Smith overall

  1. Marc-André Zöller
  2. Marco F. Huber

Papers from Micah J. Smith's perspective

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

Their papers