Matthew Maciejewski

Signal Processing · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Maciejewski trusts overall

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

  1. Yi Luo
  2. Nima Mesgarani
  3. John R. Hershey
  4. Diederik P. Kingma
  5. Jonathan Le Roux
  6. Zhong-Qiu Wang
  7. Robin Scheibler
  8. Morten Kolbaek
  9. Jimmy Ba
  10. Sharon Gannot

Who trusts Matthew Maciejewski overall

  1. Hyeong-Seok Choi
  2. Yihui Fu
  3. Mirco Ravanelli
  4. Hoon Heo

Papers from Matthew Maciejewski's perspective

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

Their papers