Billy Chiu

Natural Language Processing · 2016

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 29 citations into it
• Artificial Intelligence — 28 citations into it; #17,222 of 35,345 by trust here, #19,018 by citations
• Representation & Self-Supervised Learning — 17 citations into it
• Molecular Biology — 5 citations into it; #10,031 of 17,773 by trust here, #13,891 by citations

Whom Billy Chiu trusts overall

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

1. Steven Bird
2. Ronan Collobert
3. Tomas Mikolov
4. Diederik P. Kingma
5. Jason Aaron Edward Weston
6. Yoshua Bengio
7. Geoffrey E. Hinton
8. Jimmy Ba
9. Nigel Collier
10. Sampo Pyysalo

Who trusts Billy Chiu overall

1. Dat Quoc Nguyen
2. K. Chaloner
3. Stanislaw Jastrzebski
4. Michal Konkol
5. Nikola I. Nikolov
6. Bin Wang
7. Ziqi Zhang
8. Anna Korhonen
9. Karin M. Verspoor
10. Alfredo Maldonado

Papers from Billy Chiu's perspective

Ordered by how strongly the researchers Billy Chiu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance (2016) — 113 citations
• How to Train good Word Embeddings for Biomedical NLP (2016) — 352 citations