Joanna J. Bryson
Cognitive Science & Psychology · 2010–2017
A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 183 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Science & Psychology — 15 citations into it
- Artificial Intelligence — 12 citations into it; #1,708 of 35,345 by trust here, #2,476 by citations
- Social Psychology — 11 citations into it; #10,792 of 15,694 by trust here, #13,677 by citations
- Sociology and Political Science — 11 citations into it
- Natural Language Processing — 10 citations into it
- Safety Research — 9 citations into it; #46 of 5,829 by trust here, #77 by citations
- Experimental and Cognitive Psychology — 7 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Joanna J. Bryson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert D. Putnam
- Daniel C. Dennett
- Tomas Mikolov
- A. Greenwald
- Brian A. Nosek
- Wendell Wallach
- Lindsey L. Monteith
- Jeffrey Pennington
- Mahzarin R. Banaji
- Will Lowe
Who trusts Joanna J. Bryson overall
- Sunipa Dev
- Vincent C. Müller
- Anne Lauscher
- Andreas Theodorou
- Eric Michael Smith
- Hila Gonen
- Emilio Ferrara
- Jieyu Zhao
- Adina Williams
- Percy Liang
Papers from Joanna J. Bryson's perspective
Ordered by how strongly the researchers Joanna J. Bryson trusts endorse each paper. Same corpus, a different order for every researcher.
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- GloVe: Global Vectors for Word Representation
- Efficient Estimation of Word Representations in Vector Space
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- A Neural Probabilistic Language Model
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Semantics derived automatically from language corpora contain human-like biases (2016) — 3,191 citations
- Of, for, and by the people: the legal lacuna of synthetic persons (2017) — 286 citations
- Designing and implementing transparency for real time inspection of autonomous robots (2017) — 106 citations
- Robots should be slaves (2010) — 361 citations