Hao Ma

Artificial Intelligence · with Ghosh · 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 Hao Ma trusts

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

  1. Yoon Kim (in Artificial Intelligence)
  2. Kyunghyun Cho (in Artificial Intelligence)

Papers from Hao Ma's perspective

Ordered by how strongly the researchers Hao Ma 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: A large-scale hierarchical image database
  3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers