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ORCIDGeorge Zerveas
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2020 – today
- 2023
[c9]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: 1-4- [c8]Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz:
Parameter-efficient Modularised Bias Mitigation via AdapterFusion. EACL 2023: 2730-2743 - [c7]George Zerveas, Navid Rekabsaz, Carsten Eickhoff:
Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors. EMNLP 2023: 10779-10803 - [i9]Ilkay Yildiz Potter, George Zerveas, Carsten Eickhoff, Dominique Duncan:
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG. CoRR abs/2301.03470 (2023) - [i8]Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz:
Parameter-efficient Modularised Bias Mitigation via AdapterFusion. CoRR abs/2302.06321 (2023) - [i7]George Zerveas, Navid Rekabsaz, Carsten Eickhoff:
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors. CoRR abs/2305.15720 (2023) - 2022
- [j1]Seyed Ali Bahrainian, George Zerveas, Fabio Crestani, Carsten Eickhoff:
CATS: Customizable Abstractive Topic-based Summarization. ACM Trans. Inf. Syst. 40(1): 5:1-5:24 (2022) - [c6]George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff:
CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. EMNLP 2022: 10626-10644 - [c5]Ilkay Yildiz Potter, George Zerveas, Carsten Eickhoff, Dominique Duncan:
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG. ICMLA 2022: 1304-1311 - [c4]George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff:
Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization. SIGIR 2022: 2532-2538 - [i6]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 abs/2201.11990 (2022) - 2021
- [c3]George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff:
A Transformer-based Framework for Multivariate Time Series Representation Learning. KDD 2021: 2114-2124 - [i5]George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff:
CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking. CoRR abs/2112.08766 (2021) - 2020
- [c2]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 - [i4]George Zerveas, Ruochen Zhang, Leila Kim, Carsten Eickhoff:
Brown University at TREC Deep Learning 2019. CoRR abs/2009.04016 (2020) - [i3]George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff:
A Transformer-based Framework for Multivariate Time Series Representation Learning. CoRR abs/2010.02803 (2020) - [i2]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 abs/2010.05757 (2020)
2010 – 2019
- 2019
- [c1]George Zerveas, Ruochen Zhang, Leila Kim, Carsten Eickhoff:
Brown University at TREC Deep Learning 2019. TREC 2019 - 2018
- [i1]Xinrui Lyu, Matthias Hüser, Stephanie L. Hyland, George Zerveas, Gunnar Rätsch:
Improving Clinical Predictions through Unsupervised Time Series Representation Learning. CoRR abs/1812.00490 (2018)
Coauthor Index
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