Juan Feng

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Natural Language Processing — 16 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Safety, Robustness & Interpretability — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Juan Feng trusts overall

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

1. Jeffrey Pennington
2. Eneko Agirre
3. Richard Socher
4. Kenton C. T. Lee
5. Aylin Caliskan
6. Ji Ho Park
7. Geoffrey E. Hinton
8. Yoshua Bengio
9. Christopher D. Manning
10. Zichao Yang

Papers from Juan Feng's perspective

Ordered by how strongly the researchers Juan Feng 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. Attention is All you Need (Neural Information Processing Systems)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. GloVe: Global Vectors for Word Representation
7. Gradient-based learning applied to document recognition
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

• A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations (2019) — 41 citations