Timothy J. O'Gorman
Artificial Intelligence · 2016–2020
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 37 citations into it; #17,746 of 35,345 by trust here, #25,040 by citations
- Natural Language Processing — 34 citations into it
- Evaluation & Benchmarks — 19 citations into it
- Large Language Models — 6 citations into it
Whom Timothy J. O'Gorman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Martha Palmer
- Nasrin Mostafazadeh
- Rashmi Prasad
- James Pustejovsky
- Paul R. Kingsbury
- Alec Radford
- George A. Miller
- Alyson Grealish
- Daniel Gildea
- Shasha Liao
Who trusts Timothy J. O'Gorman overall
Papers from Timothy J. O'Gorman's perspective
Ordered by how strongly the researchers Timothy J. O'Gorman trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Language Models are Unsupervised Multitask Learners
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Improving Language Understanding by Generative Pre-Training
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Richer Event Description: Integrating event coreference with temporal, causal and bridging annotation (2016) — 168 citations
- ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning (2020) — 68 citations