Leah Perlmutter

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Natural Language Processing — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Leah Perlmutter trusts overall

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

1. Raymond J. Mooney
2. Jayant Krishnamurthy
3. Cynthia Matuszek
4. Thomas Kollar
5. Luke S. Zettlemoyer
6. David L. Chen
7. Kristen Stubbs
8. Nicholas FitzGerald
9. Changsong Liu
10. Joyce Yue Chai

Who trusts Leah Perlmutter overall

1. Jangwon Lee
2. Bradley Hayes

Papers from Leah Perlmutter's perspective

Ordered by how strongly the researchers Leah Perlmutter 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation
8. Learning to Interpret Natural Language Navigation Instructions from Observations
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Situated Language Understanding with Human-like and Visualization-Based Transparency (2016) — 31 citations