J. Hyun

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #22,142 of 35,345 by trust here, #19,873 by citations
• Safety, Robustness & Interpretability — 7 citations into it; #1,443 of 2,251 by trust here, #1,673 by citations
• Natural Language Processing — 6 citations into it; #3,732 of 5,688 by trust here, #3,897 by citations

Whom J. Hyun trusts overall

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

1. Jieyu Zhao
2. Ilya Sutskever
3. Anja Lambrecht
4. Jeffrey Pennington

Who trusts J. Hyun overall

1. Karolina Stańczak
2. Angelina Wang

Papers from J. Hyun's perspective

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

1. GloVe: Global Vectors for Word Representation
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Generating Text with Recurrent Neural Networks
10. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

Their papers

• Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function (2019) — 105 citations