Neil Heffernan III

Artificial Intelligence · 2008–2021

A researcher in the Science corpus: 7 papers; trusts 34 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Neil Heffernan III trusts overall

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

  1. Albert T. Corbett
  2. Kurt VanLehn
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Jimmy Ba
  7. Yann LeCun
  8. Kaiming He
  9. Alex Krizhevsky
  10. L. V. D. van der Maaten

Who trusts Neil Heffernan III overall

  1. Ryan Shaun Joazeiro de Baker
  2. Ghodai M. Abdelrahman
  3. K. Koedinger
  4. Michel C. Desmarais
  5. Michael V. Yudelson
  6. Jiani Zhang
  7. Qing Wang
  8. Amal Asselman
  9. Bernardo Pereira Nunes
  10. Kenneth Holstein

Papers from Neil Heffernan III's perspective

Ordered by how strongly the researchers Neil Heffernan III 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers