Larry Moss
Natural Language Processing · 2004–2020
A researcher in the Science corpus: 8 papers; trusts 97 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 97 citations into it; #1,911 of 5,688 by trust here, #2,660 by citations
- Artificial Intelligence — 85 citations into it; #7,435 of 35,345 by trust here, #12,244 by citations
- Evaluation & Benchmarks — 36 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it; #11,902 of 21,575 by trust here, #9,872 by citations
- Large Language Models — 7 citations into it
- General Social Sciences — 5 citations into it
- Molecular Biology — 5 citations into it
Whom Larry Moss trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher D. Manning
- Bill MacCartney
- Yorick Wilks
- Gabor Angeli
- Stephen G. Pulman
- Ido Dagan
- Geoffrey E. Hinton
- Yoshua Bengio
- Jacob Devlin
- Diederik P. Kingma
Who trusts Larry Moss overall
- Kyle Richardson
- Lasha Abzianidze
- Peter Clark
- Gabor Angeli
- Lauri Karttunen
- Oyvind Tafjord
- Hai Hu
- Christopher D. Manning
- J. Benthem
- Alexandru Baltag
Papers from Larry Moss's perspective
Ordered by how strongly the researchers Larry Moss trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
Their papers
- Probing Natural Language Inference Models through Semantic Fragments (2019) — 152 citations
- OCNLI: Original Chinese Natural Language Inference (2020) — 145 citations
- Natural Language Inference with Monotonicity (2019) — 15 citations
- Natural Logic and Semantics (2009) — 25 citations
- MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity (2019) — 46 citations
- A Monotonicity Calculus and Its Completeness (2017) — 12 citations
- Recent Progress on Monotonicity (2014)
- Logics for Epistemic Programs (2004) — 420 citations