L. Mehr

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #26,477 of 35,345 by trust here, #16,771 by citations
• Natural Language Processing — 24 citations into it; #4,353 of 5,688 by trust here, #3,826 by citations
• Information Systems — 7 citations into it

Whom L. Mehr trusts overall

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

1. Michael Elhadad
2. Diederik P. Kingma
3. Clayton J. Hutto
4. Christopher D. Manning
5. Kristina Toutanova
6. Amy Beth Warriner
7. R. Lakoff
8. Geoffrey E. Hinton
9. Yoshua Bengio
10. Jimmy Ba

Who trusts L. Mehr overall

1. Boshi Wang
2. Yuyu Zhang

Papers from L. Mehr's perspective

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

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

Their papers

• Answering Complex Open-domain Questions Through Iterative Query Generation (2019) — 134 citations
• Gender-Distinguishing Features in Film Dialogue (2016) — 23 citations