Jason W. Pelecanos

Artificial Intelligence · 2001–2021

A researcher in the Science corpus: 5 papers; trusts 24 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jason W. Pelecanos trusts overall

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

  1. Douglas A. Reynolds
  2. Tom Ko
  3. Patrick Kenny
  4. David Snyder
  5. Daniel Povey
  6. Daniel Garcia-Romero
  7. Hasim Sak
  8. Richard P. Lippmann
  9. Vijayaditya Peddinti
  10. Li Wan

Who trusts Jason W. Pelecanos overall

  1. Najim Dehak
  2. Patrick Kenny
  3. Sylvain Meignier
  4. Vasileios Vasilakakis
  5. Shi-Xiong Zhang
  6. Pierre Ouellet
  7. Réda Dehak
  8. Sandro Cumani
  9. Douglas A. Reynolds
  10. Pierre Dumouchel

Papers from Jason W. Pelecanos's perspective

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

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

Their papers