Tongshuang Sherry Wu
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 10 papers; trusts 236 researchers and is trusted by 52 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 325 citations into it; #4,541 of 35,345 by trust here, #3,609 by citations
- Natural Language Processing — 225 citations into it; #1,367 of 5,688 by trust here, #1,274 by citations
- Computer Vision and Pattern Recognition — 123 citations into it
- Safety, Robustness & Interpretability — 73 citations into it; #2,218 of 2,251 by trust here, #1,481 by citations
- Evaluation & Benchmarks — 70 citations into it; #2,142 of 3,147 by trust here, #2,442 by citations
- Human-Computer Interaction — 49 citations into it
- Information Systems — 28 citations into it; #1,019 of 8,771 by trust here, #485 by citations
- Representation & Self-Supervised Learning — 17 citations into it
Whom Tongshuang Sherry Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Marco Tulio Ribeiro
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Richard Socher
- Kaiming He
- Yann LeCun
- Christopher D. Manning
Who trusts Tongshuang Sherry Wu overall
- Q. Liao
- Matt Gardner
- Alexis Ross
- Mihir Parmar
- Man Luo
- Swaroop Mishra
- Joon Sung Park
- J.D. Zamfirescu-Pereira
- Marco Tulio Ribeiro
- Ethan Perez
Papers from Tongshuang Sherry Wu's perspective
Ordered by how strongly the researchers Tongshuang Sherry Wu 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
- Beyond Accuracy: Behavioral Testing of NLP Models with CheckList (2020) — 1,473 citations
- AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts (2021) — 679 citations
- Errudite: Scalable, Reproducible, and Testable Error Analysis (2019) — 165 citations
- Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models (2021) — 310 citations
- Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance (2020) — 965 citations
- Tailor: Generating and Perturbing Text with Semantic Controls (2021) — 88 citations
- NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation (2021) — 104 citations
- PromptChainer: Chaining Large Language Model Prompts through Visual Programming (2022) — 301 citations
- Tempura: Query Analysis with Structural Templates (2020) — 20 citations
- No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML (2020) — 172 citations