Ryan R. Curtin

Artificial Intelligence · 2012–2017

A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan R. Curtin trusts overall

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

  1. Moses Charikar
  2. Kenneth L. Clarkson
  3. Ian J. Goodfellow
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Yehuda Koren
  7. Jerome H. Friedman
  8. Yann LeCun
  9. Temple F. Smith
  10. Sanjoy Dasgupta

Who trusts Ryan R. Curtin overall

  1. Firas Abuzaid
  2. Anshumali Shrivastava
  3. Nicholas Carlini
  4. David Stutz
  5. S. Murray
  6. Geet Sethi
  7. Xingjun Ma
  8. Jamie Hayes
  9. Ping Li
  10. Eric Wong

Papers from Ryan R. Curtin's perspective

Ordered by how strongly the researchers Ryan R. Curtin 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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