Brian L. Egleston

Artificial Intelligence · 2006–2018

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Brian L. Egleston trusts overall

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

  1. Diederik P. Kingma
  2. Edward Choi
  3. Mike Schuster
  4. Kyunghyun Cho
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Jimmy Ba
  8. Ying Sha

Papers from Brian L. Egleston's perspective

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

Their papers