| Generative Data Augmentation for Commonsense Reasoning Y Yang, C Malaviya, J Fernandez, S Swayamdipta, RL Bras, JP Wang, ... Empirical Methods in Natural Language Processing (EMNLP), Findings, 2020 | 217 | 2020 |
| CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense M Chen, M D'Arcy, A Liu, J Fernandez, D Downey RepEval Workshop at NAACL, 2019 | 89 | 2019 |
| Sampling informative training data for RNN language models J Fernandez, D Downey ACL Student Research Workshop, 9-13, 2018 | 12 | 2018 |
| Efficiency pentathlon: A standardized arena for efficiency evaluation H Peng, Q Cao, J Dodge, ME Peters, J Fernandez, T Sherborne, K Lo, ... arXiv preprint arXiv:2307.09701, 2023 | 4 | 2023 |
| CIGLI: Conditional image generation from language & image X Lu, L Ng, J Fernandez, H Zhu CIGLI Workshop at ICCV, 3134-3138, 2021 | 4 | 2021 |
| The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment J Fernandez, J Kahn, C Na, Y Bisk, E Strubell Empirical Methods in Natural Language Processing (EMNLP), 2023 | 3 | 2023 |
| VecShare: A Framework for Sharing Word Representation Vectors J Fernandez, Z Yu, D Downey Empirical Methods in Natural Language Processing (EMNLP), 2017 | 2 | 2017 |
| Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training J Fernandez, L Wehrstedt, L Shamis, M Elhoushi, K Saladi, Y Bisk, ... arXiv preprint arXiv:2411.13055, 2024 | | 2024 |
| Gradient Localization Improves Lifelong Pretraining of Language Models J Fernandez, Y Bisk, E Strubell Empirical Methods in Natural Language Processing (EMNLP), Findings, 16188-16195, 2024 | | 2024 |
Doug DowneyAllen Institute for AI and Northwestern UniversityVerified email at eecs.northwestern.edu
