Emma Strubell
Emma Strubell
Assistant Professor, Carnegie Mellon University
Adresă de e-mail confirmată pe cs.cmu.edu - Pagina de pornire
Citat de
Citat de
Energy and policy considerations for modern deep learning research
E Strubell, A Ganesh, A McCallum
Proceedings of the AAAI conference on artificial intelligence 34 (09), 13693 …, 2020
Fast and accurate entity recognition with iterated dilated convolutions
E Strubell, P Verga, D Belanger, A McCallum
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
Linguistically-Informed Self-Attention for Semantic Role Labeling
E Strubell, P Verga, D Andor, D Weiss, A McCallum
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction
P Verga, E Strubell, A McCallum
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
Aligning artificial intelligence with climate change mitigation
LH Kaack, PL Donti, E Strubell, G Kamiya, F Creutzig, D Rolnick
Nature Climate Change 12 (6), 518-527, 2022
Machine-learned and codified synthesis parameters of oxide materials
E Kim, K Huang, A Tomala, S Matthews, E Strubell, A Saunders, ...
Scientific data 4 (1), 1-9, 2017
Measuring the carbon intensity of ai in cloud instances
J Dodge, T Prewitt, R Tachet des Combes, E Odmark, R Schwartz, ...
Proceedings of the 2022 ACM conference on fairness, accountability, and …, 2022
Inorganic materials synthesis planning with literature-trained neural networks
E Kim, Z Jensen, A van Grootel, K Huang, M Staib, S Mysore, HS Chang, ...
Journal of chemical information and modeling 60 (3), 1194-1201, 2020
Multilingual relation extraction using compositional universal schema
P Verga, D Belanger, E Strubell, B Roth, A McCallum
Proceedings of the 2016 Conference of the North American Chapter of the …, 2015
The materials science procedural text corpus: Annotating materials synthesis procedures with shallow semantic structures
S Mysore, Z Jensen, E Kim, K Huang, HS Chang, E Strubell, J Flanigan, ...
arXiv preprint arXiv:1905.06939, 2019
An empirical investigation of the role of pre-training in lifelong learning
SV Mehta, D Patil, S Chandar, E Strubell
Journal of Machine Learning Research 24 (214), 1-50, 2023
A survey of active learning for natural language processing
Z Zhang, E Strubell, E Hovy
arXiv preprint arXiv:2210.10109, 2022
Efficient methods for natural language processing: A survey
M Treviso, JU Lee, T Ji, B Aken, Q Cao, MR Ciosici, M Hassid, K Heafield, ...
Transactions of the Association for Computational Linguistics 11, 826-860, 2023
An introduction to quantum algorithms
E Strubell
Automatically extracting action graphs from materials science synthesis procedures
S Mysore, E Kim, E Strubell, A Liu, HS Chang, S Kompella, K Huang, ...
arXiv preprint arXiv:1711.06872, 2017
Power Hungry Processing: Watts Driving the Cost of AI Deployment?
A Sasha Luccioni, Y Jernite, E Strubell
arXiv e-prints, arXiv: 2311.16863, 2023
Dolma: An open corpus of three trillion tokens for language model pretraining research
L Soldaini, R Kinney, A Bhagia, D Schwenk, D Atkinson, R Authur, ...
arXiv preprint arXiv:2402.00159, 2024
DSI++: Updating transformer memory with new documents
SV Mehta, J Gupta, Y Tay, M Dehghani, VQ Tran, J Rao, M Najork, ...
arXiv preprint arXiv:2212.09744, 2022
Olmo: Accelerating the science of language models
D Groeneveld, I Beltagy, P Walsh, A Bhagia, R Kinney, O Tafjord, AH Jha, ...
arXiv preprint arXiv:2402.00838, 2024
Improving compositional generalization with self-training for data-to-text generation
SV Mehta, J Rao, Y Tay, M Kale, AP Parikh, E Strubell
arXiv preprint arXiv:2110.08467, 2021
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