Mark Stevenson

Artificial Intelligence · with Aletras · 2002–2018

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Stevenson trusts overall

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

  1. David M. Blei
  2. James Richard Curran
  3. Gerlof J. Bouma
  4. Diederik P. Kingma
  5. Jack Grieve
  6. Efstathios Stamatatos
  7. Andrew Y. Ng
  8. Xavier Glorot
  9. Michael I. Jordan
  10. Yoshua Bengio

Who trusts Mark Stevenson overall

  1. Oren Glickman
  2. Jey Han Lau
  3. Michael Röder
  4. Anna Wegmann
  5. Hema Raghavan
  6. Ido Dagan
  7. Derek O'Callaghan
  8. Osman Aka
  9. Adaku Uchendu
  10. Lushan Han

Papers from Mark Stevenson's perspective

Ordered by how strongly the researchers Mark Stevenson trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers