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ORCIDJesse Dodge
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- affiliation: Allen Institute for AI, Seattle, WA, USA
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2020 – today
- 2023
[i19]Alexandra Chronopoulou, Matthew E. Peters, Alexander Fraser, Jesse Dodge:
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models. CoRR abs/2302.07027 (2023)- 2022
- [c20]Ana Lucic, Maurits J. R. Bleeker, Samarth Bhargav
, Jessica Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic:
Towards Reproducible Machine Learning Research in Natural Language Processing. ACL (tutorial) 2022: 7-11 - [c19]Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan:
Measuring the Carbon Intensity of AI in Cloud Instances. FAccT 2022: 1877-1894 - [c18]Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Dragomir R. Radev, Aaron Gokaslan, Somaieh Nikpoor, Peter Henderson, Rishi Bommasani, Margaret Mitchell:
Data Governance in the Age of Large-Scale Data-Driven Language Technology. FAccT 2022: 2206-2222 - [c17]Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy:
Staged Training for Transformer Language Models. ICML 2022: 19893-19908 - [c16]Alexandra Chronopoulou, Matthew E. Peters, Jesse Dodge:
Efficient Hierarchical Domain Adaptation for Pretrained Language Models. NAACL-HLT 2022: 1336-1351 - [c15]David Ifeoluwa Adelani, Md Mahfuz Ibn Alam, Antonios Anastasopoulos, Akshita Bhagia, Marta R. Costa-jussà, Jesse Dodge, Fahim Faisal, Christian Federmann, Natalia Fedorova, Francisco Guzmán, Sergey Koshelev, Jean Maillard, Vukosi Marivate, Jonathan Mbuya, Alexandre Mourachko, Safiyyah Saleem, Holger Schwenk, Guillaume Wenzek:
Findings of the WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages. WMT 2022: 773-800 - [i18]Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy:
Staged Training for Transformer Language Models. CoRR abs/2203.06211 (2022) - [i17]Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Isaac Johnson, Dragomir R. Radev, Somaieh Nikpoor, Jörg Frohberg, Aaron Gokaslan, Peter Henderson, Rishi Bommasani, Margaret Mitchell:
Data Governance in the Age of Large-Scale Data-Driven Language Technology. CoRR abs/2206.03216 (2022) - [i16]Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan:
Measuring the Carbon Intensity of AI in Cloud Instances. CoRR abs/2206.05229 (2022) - [i15]Samuel J. Bell, Onno Pepijn Kampman, Jesse Dodge, Neil D. Lawrence:
Modeling the Machine Learning Multiverse. CoRR abs/2206.05985 (2022) - [i14]Li Lucy, Jesse Dodge, David Bamman, Katherine A. Keith:
Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications. CoRR abs/2212.09676 (2022) - [i13]Jesse Dodge, Iryna Gurevych, Roy Schwartz, Emma Strubell, Betty van Aken:
Efficient and Equitable Natural Language Processing in the Age of Deep Learning (Dagstuhl Seminar 22232). Dagstuhl Reports 12(6): 14-27 (2022) - 2021
- [c14]Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, Matt Gardner:
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus. EMNLP (1) 2021: 1286-1305 - [c13]Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith:
Competency Problems: On Finding and Removing Artifacts in Language Data. EMNLP (1) 2021: 1801-1813 - [c12]Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith:
Expected Validation Performance and Estimation of a Random Variable's Maximum. EMNLP (Findings) 2021: 4066-4073 - [i12]Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith:
Competency Problems: On Finding and Removing Artifacts in Language Data. CoRR abs/2104.08646 (2021) - [i11]Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Matt Gardner:
Documenting the English Colossal Clean Crawled Corpus. CoRR abs/2104.08758 (2021) - [i10]Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith:
Expected Validation Performance and Estimation of a Random Variable's Maximum. CoRR abs/2110.00613 (2021) - [i9]Alexandra Chronopoulou, Matthew E. Peters, Jesse Dodge:
Efficient Hierarchical Domain Adaptation for Pretrained Language Models. CoRR abs/2112.08786 (2021) - 2020
- [j2]Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni:
Green AI. Commun. ACM 63(12): 54-63 (2020) - [c11]Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith:
The Right Tool for the Job: Matching Model and Instance Complexities. ACL 2020: 6640-6651 - [i8]Jesse Dodge, Gabriel Ilharco, Roy Schwartz, Ali Farhadi, Hannaneh Hajishirzi, Noah A. Smith:
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping. CoRR abs/2002.06305 (2020) - [i7]Roy Schwartz, Gabi Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith:
The Right Tool for the Job: Matching Model and Instance Complexities. CoRR abs/2004.07453 (2020)
2010 – 2019
- 2019
- [c10]Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith:
RNN Architecture Learning with Sparse Regularization. EMNLP/IJCNLP (1) 2019: 1179-1184 - [c9]Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith:
Show Your Work: Improved Reporting of Experimental Results. EMNLP/IJCNLP (1) 2019: 2185-2194 - [i6]Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni:
Green AI. CoRR abs/1907.10597 (2019) - [i5]Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith:
Show Your Work: Improved Reporting of Experimental Results. CoRR abs/1909.03004 (2019) - [i4]Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith:
RNN Architecture Learning with Sparse Regularization. CoRR abs/1909.03011 (2019) - 2017
- [i3]Jesse Dodge, Catrìona Anderson, Noah A. Smith:
Random Search for Hyperparameters using Determinantal Point Processes. CoRR abs/1706.01566 (2017) - 2016
- [j1]Vicente Ordonez, Xufeng Han, Polina Kuznetsova, Girish Kulkarni, Margaret Mitchell, Kota Yamaguchi, Karl Stratos, Amit Goyal, Jesse Dodge, Alyssa C. Mensch, Hal Daumé III, Alexander C. Berg, Yejin Choi, Tamara L. Berg:
Large Scale Retrieval and Generation of Image Descriptions. Int. J. Comput. Vis. 119(1): 46-59 (2016) - [c8]Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston:
Key-Value Memory Networks for Directly Reading Documents. EMNLP 2016: 1400-1409 - [c7]Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander H. Miller, Arthur Szlam, Jason Weston:
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems. ICLR (Poster) 2016 - [i2]Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston:
Key-Value Memory Networks for Directly Reading Documents. CoRR abs/1606.03126 (2016) - 2015
- [c6]Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard H. Hovy, Noah A. Smith:
Retrofitting Word Vectors to Semantic Lexicons. HLT-NAACL 2015: 1606-1615 - 2014
- [c5]Kenton Lee, Yoav Artzi, Jesse Dodge, Luke Zettlemoyer:
Context-dependent Semantic Parsing for Time Expressions. ACL (1) 2014: 1437-1447 - [c4]Sam Thomson, Brendan O'Connor, Jeffrey Flanigan, David Bamman, Jesse Dodge, Swabha Swayamdipta, Nathan Schneider, Chris Dyer, Noah A. Smith:
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing. SemEval@COLING 2014: 176-180 - [i1]Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard H. Hovy, Noah A. Smith:
Retrofitting Word Vectors to Semantic Lexicons. CoRR abs/1411.4166 (2014) - 2012
- [c3]Alexander C. Berg, Tamara L. Berg, Hal Daumé III, Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa C. Mensch, Margaret Mitchell, Aneesh Sood, Karl Stratos, Kota Yamaguchi:
Understanding and predicting importance in images. CVPR 2012: 3562-3569 - [c2]Margaret Mitchell, Jesse Dodge, Amit Goyal, Kota Yamaguchi, Karl Stratos, Xufeng Han, Alyssa C. Mensch, Alexander C. Berg, Tamara L. Berg, Hal Daumé III:
Midge: Generating Image Descriptions From Computer Vision Detections. EACL 2012: 747-756 - [c1]Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa C. Mensch, Margaret Mitchell, Karl Stratos, Kota Yamaguchi, Yejin Choi, Hal Daumé III, Alexander C. Berg, Tamara L. Berg:
Detecting Visual Text. HLT-NAACL 2012: 762-772
Coauthor Index
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last updated on 2023-03-22 23:52 CET by the dblp team
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