George Zerveas

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 19

Top Topics

Nearest Neighbor

Maximal Marginal Relevance

Multivariate Time Series

Top Venues

ACM Trans. Inf. Syst.

Publications

Ilkay Yildiz Potter, George Zerveas, Carsten Eickhoff, Dominique Duncan
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG. CoRR (2023)
Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
Parameter-efficient Modularised Bias Mitigation via AdapterFusion. EACL (2023)
Isaac Sears, Augusto Garcia-Agundez, George Zerveas, William Rudman, Laura Mercurio, Corey E. Ventetuolo, Adeel Abbasi, Carsten Eickhoff
Leveraging Unlabeled Electroencephalographic Data to Predict Neurological Recovery for Comatose Patients Following Cardiac Arrest. CinC (2023)
George Zerveas, Navid Rekabsaz, Carsten Eickhoff
Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors. EMNLP (2023)
George Zerveas, Navid Rekabsaz, Carsten Eickhoff
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors. CoRR (2023)
Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
Parameter-efficient Modularised Bias Mitigation via AdapterFusion. CoRR (2023)
Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick LeGresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, Elton Zheng, Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, Bryan Catanzaro
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. CoRR (2022)
George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff
CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. EMNLP (2022)
Seyed Ali Bahrainian, George Zerveas, Fabio Crestani, Carsten Eickhoff
CATS: Customizable Abstractive Topic-based Summarization. ACM Trans. Inf. Syst. 40 (1) (2022)
George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff
Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization. SIGIR (2022)
Ilkay Yildiz Potter, George Zerveas, Carsten Eickhoff, Dominique Duncan
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG. ICMLA (2022)
George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff
CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking. CoRR (2021)
George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff
A Transformer-based Framework for Multivariate Time Series Representation Learning. KDD (2021)
George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff
A Transformer-based Framework for Multivariate Time Series Representation Learning. CoRR (2020)
George Zerveas, Ruochen Zhang, Leila Kim, Carsten Eickhoff
Brown University at TREC Deep Learning 2019. CoRR (2020)
Aaron S. Eisman, Nishant R. Shah, Carsten Eickhoff, George Zerveas, Elizabeth S. Chen, Wen-Chih Wu, Indra Neil Sarkar
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures. AMIA (2020)
Aaron S. Eisman, Nishant R. Shah, Carsten Eickhoff, George Zerveas, Elizabeth S. Chen, Wen-Chih Wu, Indra Neil Sarkar
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures. CoRR (2020)
George Zerveas, Ruochen Zhang, Leila Kim, Carsten Eickhoff
Brown University at TREC Deep Learning 2019. TREC (2019)
Xinrui Lyu, Matthias Hüser, Stephanie L. Hyland, George Zerveas, Gunnar Rätsch
Improving Clinical Predictions through Unsupervised Time Series Representation Learning. CoRR (2018)