Wee Chung Gan
Natural Language Processing · 2019
A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 20 citations into it
- Artificial Intelligence — 16 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Wee Chung Gan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Pranav Rajpurkar
- Taku Kudo
- Jacob Devlin
- Rada Mihalcea
- Danqi Chen
- Ashish Vaswani
- Anthony Fader
- Marco Tulio Ribeiro
- Geoffrey E. Hinton
- Minjoon Seo
Who trusts Wee Chung Gan overall
Papers from Wee Chung Gan's perspective
Ordered by how strongly the researchers Wee Chung Gan 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
- 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)
- 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)
- Gradient-based learning applied to document recognition
Their papers
- Improving the Robustness of Question Answering Systems to Question Paraphrasing (2019) — 147 citations