Jason D. M. Rennie

Artificial Intelligence · 2000–2005

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 289 researchers here, as inferred from the citation graph.

Subfields

Whom Jason D. M. Rennie trusts overall

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

  1. Thomas Hofmann
  2. Benjamin M. Marlin
  3. Nati Srebro
  4. John F. Canny
  5. Jonathan Richard Shewchuk
  6. David E. Heckerman
  7. Daniel Billsus
  8. Yiming Yang
  9. David D. Lewis
  10. Andrew McCallum

Who trusts Jason D. M. Rennie overall

  1. Yongfeng Zhang
  2. Hao Ma
  3. Francis R. Bach
  4. Steffen Rendle
  5. Trevor J. Hastie
  6. Charu C. Aggarwal
  7. Behnam Neyshabur
  8. Ruslan Salakhutdinov
  9. Sotirios P. Chatzis
  10. Ajit Paul Singh

Papers from Jason D. M. Rennie's perspective

Ordered by how strongly the researchers Jason D. M. Rennie 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers