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George Zerveas
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A transformer-based framework for multivariate time series representation learning
G Zerveas, S Jayaraman, D Patel, A Bhamidipaty, C Eickhoff
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
3032021
Using Deepspeed and Megatron to train megatron-turing NLG 530b, A large-scale generative language model.
S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ...
CoRR, abs/2201.11990, 2022
296*2022
Improving clinical predictions through unsupervised time series representation learning
X Lyu, M Hueser, SL Hyland, G Zerveas, G Raetsch
arXiv preprint arXiv:1812.00490, 2018
432018
Comprehensive comparison and experimental validation of band-structure calculation methods in III–V semiconductor quantum wells
G Zerveas, E Caruso, G Baccarani, L Czornomaz, N Daix, D Esseni, ...
Solid-State Electronics 115, 92-102, 2016
292016
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model (arXiv: 2201.11990). arXiv
S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ...
82022
Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization
G Zerveas, N Rekabsaz, D Cohen, C Eickhoff
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
72022
Modeling approaches for band-structure calculation in III-V FET quantum wells
E Caruso, G Zerveas, G Baccarani, L Czornomaz, N Daix, D Esseni, ...
EUROSOI-ULIS 2015: 2015 Joint International EUROSOI Workshop and …, 2015
72015
A Transformer-based Framework for Multivariate Time Series Representation Learning. arXiv 2020
G Zerveas, S Jayaraman, D Patel, A Bhamidipaty, C Eickhoff
arXiv preprint arXiv:2010.02803, 0
7
Mitigating bias in search results through set-based document reranking and neutrality regularization
G Zerveas, N Rekabsaz, D Cohen, C Eickhoff
Proceedings of the 45th International ACM SIGIR conference on research and …, 2022
62022
CATS: Customizable Abstractive Topic-based Summarization
SA Bahrainian, G Zerveas, F Crestani, C Eickhoff
ACM Transactions on Information Systems (TOIS) 40 (1), 1-24, 2021
62021
Brown university at trec deep learning 2019
G Zerveas, R Zhang, L Kim, C Eickhoff
arXiv preprint arXiv:2009.04016, 2020
62020
Extracting angina symptoms from clinical notes using pre-trained transformer architectures
AS Eisman, NR Shah, C Eickhoff, G Zerveas, ES Chen, WC Wu, IN Sarkar
AMIA Annual Symposium Proceedings 2020, 412, 2020
62020
Using deepspeed and megatron to train megatron-turing nlg 530b, a large-scale generative language model. arXiv
S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ...
arXiv preprint arXiv:2201.11990, 2022
52022
CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking
G Zerveas, N Rekabsaz, D Cohen, C Eickhoff
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
32022
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
D Kumar, O Lesota, G Zerveas, D Cohen, C Eickhoff, M Schedl, ...
arXiv preprint arXiv:2302.06321, 2023
22023
CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking
G Zerveas, N Rekabsaz, D Cohen, C Eickhoff
arXiv preprint arXiv:2112.08766, 2021
22021
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG
İY Potter, G Zerveas, C Eickhoff, D Duncan
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
12022
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors
G Zerveas, N Rekabsaz, C Eickhoff
arXiv preprint arXiv:2305.15720, 2023
2023
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG
İ Yıldız Potter, G Zerveas, C Eickhoff, D Duncan
arXiv e-prints, arXiv: 2301.03470, 2023
2023
Representation Learning of Multivariate Time Series using a Transformer Framework
G Zerveas, S Jayaraman, D Patel, A Bhamidipaty, C Eickhoff
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2021
2021
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