Mickel Hoang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mickel Hoang trusts overall

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

  1. Alex Graves
  2. Thorsten Joachims
  3. Ilya Sutskever
  4. Sepp Hochreiter
  5. Tomas Mikolov
  6. Geoffrey E. Hinton
  7. J. Urgen Schmidhuber
  8. Yoshua Bengio
  9. Jeffrey Pennington
  10. Richard Socher

Who trusts Mickel Hoang overall

  1. Ringki Das
  2. Gihyeon Choi
  3. Soujanya Poria
  4. Thoudam Doren Singh
  5. Shinhyeok Oh
  6. Devamanyu Hazarika

Papers from Mickel Hoang's perspective

Ordered by how strongly the researchers Mickel Hoang 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers