Miller S. Puckette

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 157 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Miller S. Puckette trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Yann LeCun
  5. Alec Radford
  6. Alex Krizhevsky
  7. Aäron van den Oord
  8. Christian Szegedy
  9. Alex Graves
  10. Ilya Sutskever

Who trusts Miller S. Puckette overall

  1. Jesse Engel
  2. Zhengwei Wang
  3. Karan Goel
  4. Kundan Kumar
  5. Albert Gu
  6. Eliya Nachmani
  7. Jeff Donahue
  8. Eoin Brophy
  9. Marco Pasini
  10. Yingtao Tian

Papers from Miller S. Puckette's perspective

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

Their papers