Jae-Eon Jo

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jae-Eon Jo trusts overall

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

  1. Jason Aaron Edward Weston

Papers from Jae-Eon Jo's perspective

Ordered by how strongly the researchers Jae-Eon Jo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Recurrent neural network based language model
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Learning long-term dependencies with gradient descent is difficult
  6. Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
  7. Gradient-based learning applied to document recognition
  8. The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers