Meredith S. Palmer

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Meredith S. Palmer trusts overall

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

  1. J. Andrew Royle
  2. N. Yoccoz
  3. T. O'Brien
  4. Marc Kéry
  5. M. Kelly
  6. H. Jachmann
  7. James D. Nichols

Papers from Meredith S. Palmer's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet Large Scale Visual Recognition Challenge
  4. ImageNet: A large-scale hierarchical image database
  5. Going deeper with convolutions
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. Gradient-based learning applied to document recognition

Their papers