H. A. Schwartz
Artificial Intelligence · 2013–2024
A researcher in the Science corpus: 8 papers; trusts 42 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 101 citations into it; #13,103 of 35,345 by trust here, #6,378 by citations
- Natural Language Processing — 54 citations into it
- Social Psychology — 45 citations into it; #12,784 of 15,694 by trust here, #3,473 by citations
- Clinical Psychology — 42 citations into it; #7,680 of 8,024 by trust here, #1,346 by citations
- Experimental and Cognitive Psychology — 34 citations into it
- Sociology and Political Science — 31 citations into it
- Safety, Robustness & Interpretability — 30 citations into it; #1,022 of 2,251 by trust here, #1,162 by citations
- Human-Computer Interaction — 15 citations into it
Whom H. A. Schwartz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James W. Pennebaker
- Radford M. Neal
- Tal Yarkoni
- L. R. Goldberg
- David M. Blei
- Matthias R. Mehl
- Kenneth Ward Church
- William S. Cleveland
- Rong-En Fan
- Efstathios Stamatatos
Who trusts H. A. Schwartz overall
- Daniel Preotiuc-Pietro
- Maarten Sap
- Gregory J. Park
- Glen A. Coppersmith
- Zeerak Talat
- Louis Hickman
- Dirk Hovy
- Lucie Flekova
- Lyle Ungar
- Johannes C. Eichstaedt
Papers from H. A. Schwartz's perspective
Ordered by how strongly the researchers H. A. Schwartz trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview (2019) — 291 citations
- Does ‘well-being’ translate on Twitter? (2016) — 12 citations
- Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013) — 1,750 citations
- Automatic personality assessment through social media language. (2015) — 763 citations
- Developing Age and Gender Predictive Lexica over Social Media (2014) — 255 citations
- Extracting Human Temporal Orientation from Facebook Language (2015) — 34 citations
- The role of personality, age, and gender in tweeting about mental illness (2015) — 166 citations
- Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation (2024) — 308 citations