Kathryn Mazaitis
Artificial Intelligence · 2015–2020
A researcher in the Science corpus: 6 papers; trusts 65 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 99 citations into it; #6,844 of 35,345 by trust here, #3,895 by citations
- Natural Language Processing — 70 citations into it; #2,281 of 5,688 by trust here, #2,888 by citations
- Computer Vision and Pattern Recognition — 32 citations into it
- Information Retrieval & Search — 20 citations into it; #886 of 1,022 by trust here, #380 by citations
- Evaluation & Benchmarks — 19 citations into it
- Information Systems — 16 citations into it
- Graph Learning — 11 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Kathryn Mazaitis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Danqi Chen
- Matthew Richardson
- Geoffrey E. Hinton
- Andreas Stolcke
- Yoshua Bengio
- Diederik P. Kingma
- Jason Aaron Edward Weston
- Alexander H. Miller
- Ilya Sutskever
- Alex Krizhevsky
Who trusts Kathryn Mazaitis overall
- Haitian Sun
- Shuohang Wang
- Rodrigo Nogueira
- Mo Yu
- Rajarshi Das
- Yi Tay
- Kyunghyun Cho
- Phu Mon Htut
- Yankai Lin
- Hao Cheng
Papers from Kathryn Mazaitis's perspective
Ordered by how strongly the researchers Kathryn Mazaitis 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Never-Ending Learning (2015) — 1,135 citations
- Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text (2018) — 516 citations
- Quasar: Datasets for Question Answering by Search and Reading (2017) — 194 citations
- Conversational Neuro-Symbolic Commonsense Reasoning (2020) — 54 citations
- TensorLog: Deep Learning Meets Probabilistic DBs (2017) — 46 citations
- Explainable Entity-based Recommendations with Knowledge Graphs (2017) — 56 citations