Hongzhi Liu
Artificial Intelligence · with Gan · 2019
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it; #15,248 of 35,345 by trust here, #19,439 by citations
- Natural Language Processing — 19 citations into it
- Speech & Audio — 7 citations into it; #520 of 1,076 by trust here, #752 by citations
Whom Hongzhi Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Xu Tan
- Yoshua Bengio
- Stanley F. Chen
- Diederik P. Kingma
- Ashish Vaswani
- Oriol Vinyals
- Ilya Sutskever
- Alex Krizhevsky
- Alex Graves
Who trusts Hongzhi Liu overall
Papers from Hongzhi Liu's perspective
Ordered by how strongly the researchers Hongzhi Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Distilling the Knowledge in a Neural Network (arXiv.org)
Their papers
- Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion (2019) — 68 citations
- Knowledge Distillation from Bert in Pre-Training and Fine-Tuning for Polyphone Disambiguation (2019) — 8 citations