Jiameng Gao

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 243 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jiameng Gao trusts overall

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

  1. Ilya Sutskever
  2. Yoshua Bengio
  3. Franz Joseph Och
  4. Geoffrey E. Hinton
  5. Oriol Vinyals
  6. Dzmitry Bahdanau
  7. Kyunghyun Cho
  8. Alex Graves
  9. Sepp Hochreiter
  10. Radford M. Neal

Who trusts Jiameng Gao overall

  1. Felix Stahlberg
  2. Eva Hasler
  3. Taku Kudo
  4. Bill Byrne
  5. Junyoung Chung

Papers from Jiameng Gao's perspective

Ordered by how strongly the researchers Jiameng Gao 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 classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers