Mark D. Plumbley

Signal Processing · 2009–2023

A researcher in the Science corpus: 16 papers; trusts 260 researchers and is trusted by 50 researchers here, as inferred from the citation graph.

Subfields

Whom Mark D. Plumbley trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Kaiming He
  6. Karen Simonyan
  7. Yann LeCun
  8. Ilya Sutskever
  9. Jimmy Ba
  10. R. Caruana

Who trusts Mark D. Plumbley overall

  1. Eduardo Fonseca
  2. Annamaria Mesaros
  3. Dan Stowell
  4. Toni Heittola
  5. Emmanouil Benetos
  6. Peter Foster
  7. Anurag Kumar
  8. Xavier Favory
  9. Haytham M. Fayek
  10. Tim Sainburg

Papers from Mark D. Plumbley's perspective

Ordered by how strongly the researchers Mark D. Plumbley 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers