Jason Chuang
Natural Language Processing · 2007–2014
A researcher in the Science corpus: 6 papers; trusts 41 researchers and is trusted by 474 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 49 citations into it; #344 of 5,688 by trust here, #220 by citations
- Artificial Intelligence — 45 citations into it; #813 of 35,345 by trust here, #815 by citations
- Computer Vision and Pattern Recognition — 13 citations into it; #13,756 of 21,575 by trust here, #15,955 by citations
- Molecular Biology — 11 citations into it
- Mechanical Engineering — 10 citations into it; #1,177 of 8,300 by trust here, #2,956 by citations
- Biomedical Engineering — 9 citations into it; #1,577 of 10,734 by trust here, #3,873 by citations
- Evaluation & Benchmarks — 8 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Jason Chuang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher D. Manning
- David Leo Wright Hall
- David M. Blei
- Chaomei Chen
- Andrew Y. Ng
- Geoffrey E. Hinton
- Richard Socher
- Yoshua Bengio
- John T. Stasko
- Michael I. Jordan
Who trusts Jason Chuang overall
- Carson Sievert
- Richard Socher
- Samuel R. Bowman
- Ashraf Abdul
- Duyu Tang
- Yi Tay
- Xipeng Qiu
- Christopher D. Manning
- Eric Wallace
- Percy Liang
Papers from Jason Chuang's perspective
Ordered by how strongly the researchers Jason Chuang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank (2013) — 9,576 citations
- Human Effort and Machine Learnability in Computer Aided Translation (2014) — 72 citations
- Predictive translation memory: a mixed-initiative system for human language translation (2014) — 68 citations
- Experimental microchannel heat sink performance studies using nanofluids (2007) — 410 citations
- Interpretation and trust: designing model-driven visualizations for text analysis (2012) — 294 citations
- Termite: visualization techniques for assessing textual topic models (2012) — 533 citations