Tal Schuster
Google (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Machine Learning and Algorithms, Machine Learning and Data Classification, Computational Drug Discovery Methods
Most-Cited Works
- → A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction(2019)701 cited
- → Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation(2018)275 cited
- → A Deep Learning Model to Triage Screening Mammograms: A Simulation Study(2019)207 cited
- → Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing(2019)191 cited
- → UL2: Unifying Language Learning Paradigms(2022)97 cited
- → Transformer Memory as a Differentiable Search Index(2022)82 cited
- → Confident Adaptive Language Modeling(2022)39 cited
- → Deep Learning Model to Assess Cancer Risk on the Basis of a Breast MR Image Alone(2019)37 cited
- → Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation(2022)33 cited
- → Consistent Accelerated Inference via Confident Adaptive Transformers(2021)29 cited