Samuel C. Hoffman

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Samuel C. Hoffman trusts overall

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

  1. Ian J. Goodfellow
  2. Takeru Miyato
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Harrison Edwards
  10. Matthew A. Turk

Who trusts Samuel C. Hoffman overall

  1. Vikram V. Ramaswamy
  2. Simon Caton
  3. Angelina Wang
  4. Divya Saxena
  5. Sina Baharlouei
  6. Laleh Seyyed-Kalantari
  7. Alexander Amini

Papers from Samuel C. Hoffman's perspective

Ordered by how strongly the researchers Samuel C. Hoffman 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers