Eric Hsin-Chun Huang
Natural Language Processing · 2011–2012
A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 330 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 43 citations into it; #265 of 5,688 by trust here, #415 by citations
- Artificial Intelligence — 32 citations into it
- Representation & Self-Supervised Learning — 10 citations into it; #665 of 3,145 by trust here, #811 by citations
- Computer Vision and Pattern Recognition — 5 citations into it
- Information Retrieval & Search — 5 citations into it
Whom Eric Hsin-Chun Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard Socher
- George A. Miller
- Yoshua Bengio
- Andrew Y. Ng
- Geoffrey E. Hinton
- Ronan Collobert
- Christopher D. Manning
- Yves Rosseel
- Jordan B. Pollack
- Joseph P. Turian
Who trusts Eric Hsin-Chun Huang overall
- Richard Socher
- Christopher D. Manning
- Mohammad Taher Pilehvar
- Mohit Bansal
- Li Deng
- Quoc V. Le
- Yoshua Bengio
- Percy Liang
- John Wieting
- Ruslan Salakhutdinov
Papers from Eric Hsin-Chun Huang's perspective
Ordered by how strongly the researchers Eric Hsin-Chun Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Improving Word Representations via Global Context and Multiple Word Prototypes (2012) — 1,277 citations
- Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection (2011) — 971 citations
- Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions (2011) — 1,357 citations