K. Knill

Artificial Intelligence · 2012–2017

A researcher in the Science corpus: 6 papers; trusts 26 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom K. Knill trusts overall

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

  1. Mark John Francis Gales
  2. Geoffrey E. Hinton
  3. Daniel Povey
  4. Navdeep Jaitly
  5. Hynek Hermansky
  6. Brian Kingsbury
  7. Xiaodong Cui
  8. Diederik P. Kingma
  9. Naoyuki Kanda
  10. Jean-Luc Gauvain

Who trusts K. Knill overall

  1. Alexis Conneau
  2. Mark John Francis Gales
  3. Andrey Malinin
  4. Yu Zhang
  5. Adithya Renduchintala
  6. Ankur Bapna
  7. Matthew Wiesner
  8. Gözde Gül Sahin
  9. Sibo Tong
  10. Xiang Yu

Papers from K. Knill's perspective

Ordered by how strongly the researchers K. Knill 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers