L. Birnbaum

Artificial Intelligence · with Downey · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #26,859 of 35,345 by trust here, #27,551 by citations

Whom L. Birnbaum trusts overall

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

1. Burr Settles
2. Aron Culotta
3. Maxwell Forbes
4. Jeffrey Pennington
5. Tomas Mikolov
6. Geoffrey E. Hinton
7. Mark Palatucci
8. Ken McRae
9. Ilya Sutskever
10. Andrew McCallum

Who trusts L. Birnbaum overall

1. Xikun Zhang
2. Deepak Ramachandran
3. Eric Wallace

Papers from L. Birnbaum's perspective

Ordered by how strongly the researchers L. Birnbaum 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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Extracting Commonsense Properties from Embeddings with Limited Human Guidance (2018) — 21 citations