Richard G. Clegg

Artificial Intelligence · 2006–2019

A researcher in the Science corpus: 4 papers; trusts 22 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Richard G. Clegg trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Pascal Vincent
  5. Stan Salvador
  6. Harrison Edwards
  7. Alex Krizhevsky
  8. Nitish Srivastava
  9. Ian J. Goodfellow
  10. Ilya Sutskever

Who trusts Richard G. Clegg overall

  1. Mohammad Malekzadeh
  2. Giada Adelfio
  3. Shibo Zhang
  4. Ali Shahin Shamsabadi
  5. Nitin Agrawal

Papers from Richard G. Clegg's perspective

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

Their papers