Timothy J. O'Donnell
Artificial Intelligence · 2011–2015
A researcher in the Science corpus: 2 papers; trusts 50 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it; #10,462 of 35,345 by trust here, #18,186 by citations
- Natural Language Processing — 15 citations into it; #2,096 of 5,688 by trust here, #3,638 by citations
- Language and Linguistics — 13 citations into it; #1,453 of 3,093 by trust here, #1,489 by citations
- Cultural Studies — 12 citations into it; #241 of 609 by trust here, #345 by citations
- Developmental and Educational Psychology — 12 citations into it
- Experimental and Cognitive Psychology — 9 citations into it
- Speech & Audio — 9 citations into it; #473 of 1,076 by trust here, #832 by citations
- Linguistics — 8 citations into it
Whom Timothy J. O'Donnell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James R. Glass
- Noah D. Goodman
- Michael Collins
- Jenny R. Saffran
- T. Griffiths
- Chia-ying Lee
- Steven Pinker
- Mark Johnson
- Geoffrey E. Hinton
- Christopher D. Manning
Who trusts Timothy J. O'Donnell overall
- Herman Kamper
- Josh Tenenbaum
- Chia-ying Lee
- Brenden M. Lake
- David F. Harwath
- Benjamin van Niekerk
- James R. Glass
- Aren Jansen
- Alexei Baevski
- Sharon Goldwater
Papers from Timothy J. O'Donnell's perspective
Ordered by how strongly the researchers Timothy J. O'Donnell trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Productivity and Reuse in Language (2011) — 139 citations
- Unsupervised Lexicon Discovery from Acoustic Input (2015) — 92 citations