George Zerveas
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Time Series Analysis and Forecasting
Most-Cited Works
- → Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model(2022)299 cited
- → A Transformer-based Framework for Multivariate Time Series Representation Learning(2021)66 cited
- → Improving Clinical Predictions through Unsupervised Time Series Representation Learning(2018)26 cited
- → Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization(2022)19 cited
- → Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG(2022)16 cited
- → CATS: Customizable Abstractive Topic-based Summarization(2021)15 cited
- → A Transformer-based Framework for Multivariate Time Series\n Representation Learning(2020)10 cited
- → Parameter-efficient Modularised Bias Mitigation via AdapterFusion(2023)10 cited
- → CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking(2022)9 cited
- → Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures(2020)6 cited