Bryan Pardo

Signal Processing · 2018–2021

A researcher in the Science corpus: 7 papers; trusts 19 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Bryan Pardo trusts overall

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

  1. Justin Salamon
  2. Annamaria Mesaros
  3. Matthew D. Hoffman
  4. Brian McFee
  5. John R. Hershey
  6. Emre Çakir
  7. Jonathan Le Roux
  8. Toni Heittola
  9. Zhong-Qiu Wang
  10. Zhuo Chen

Who trusts Bryan Pardo overall

  1. Eduardo Fonseca

Papers from Bryan Pardo's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers