Benjamin P. Turnbull

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin P. Turnbull trusts overall

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

  1. Nour Moustafa
  2. Amin Azmoodeh
  3. Srilatha Chebrolu
  4. Jill Slay
  5. Sepp Hochreiter
  6. G. Wang
  7. Dewan Md. Farid
  8. Mike Schuster
  9. David E. Rumelhart

Who trusts Benjamin P. Turnbull overall

  1. Ansam Khraisat
  2. Javed Asharf
  3. Nour Moustafa
  4. Ammar Alazab
  5. Yuyang Zhou
  6. Nadia Chaabouni

Papers from Benjamin P. Turnbull's perspective

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

  1. Long Short-Term Memory
  2. Learning representations by back-propagating errors
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Bidirectional recurrent neural networks
  8. LSTM: A Search Space Odyssey
  9. Framewise phoneme classification with bidirectional LSTM and other neural network architectures
  10. Learning Multiple Layers of Features from Tiny Images

Their papers