Jeff Cai

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Jeff Cai trusts overall

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

  1. Kenneth Heafield
  2. Yoshua Bengio

Who trusts Jeff Cai overall

  1. Alexei Baevski
  2. Vineel Pratap
  3. Wei-Ning Hsu
  4. Qiantong Xu
  5. Jacob Kahn

Papers from Jeff Cai's perspective

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

  1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Automatic differentiation in PyTorch
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. The Kaldi Speech Recognition Toolkit
  6. Gradient-based learning applied to document recognition
  7. TensorFlow: A system for large-scale machine learning
  8. cuDNN: Efficient Primitives for Deep Learning
  9. Long Short-Term Memory
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers