Logan Lebanoff

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it
• Natural Language Processing — 53 citations into it
• Evaluation & Benchmarks — 11 citations into it

Whom Logan Lebanoff trusts overall

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

1. Chin-Yew Lin
2. Christopher D. Manning
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Ilya Sutskever
7. Jacob Devlin
8. Abigail See
9. Alex Krizhevsky
10. Alec Radford

Who trusts Logan Lebanoff overall

1. Tanya Goyal

Papers from Logan Lebanoff's perspective

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

Their papers

• Understanding Points of Correspondence between Sentences for Abstractive Summarization (2020) — 29 citations
• Joint Parsing and Generation for Abstractive Summarization (2019) — 30 citations