Serina Chang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #24,444 of 35,345 by trust here, #32,362 by citations
• Natural Language Processing — 9 citations into it; #4,084 of 5,688 by trust here, #5,412 by citations
• Safety, Robustness & Interpretability — 8 citations into it

Whom Serina Chang trusts overall

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

1. George A. Miller
2. Jieyu Zhao
3. Tomas Mikolov
4. Aylin Caliskan
5. Tolga Bolukbasi
6. Jonathan D. Chang
7. Kai-Wei Chang
8. John K. Kruschke
9. Claudia Wagner
10. R. Lakoff

Who trusts Serina Chang overall

1. Yolande A. A. Strengers
2. Lizhen Qu
3. Qiongkai Xu

Papers from Serina Chang's perspective

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

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

Their papers

• Automatically Inferring Gender Associations from Language (2019) — 12 citations