| LoRA: Low-Rank Adaptation of Large Language Models EJ Hu, Y Shen, P Wallis, Z Allen-Zhu, Y Li, S Wang, L Wang, W Chen International Conference on Learning Representations, 2022 | 203 | 2022 |
| Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation A Poliak, A Haldar, R Rudinger, EJ Hu, E Pavlick, AS White, B Van Durme Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 138 | 2018 |
| Randomized smoothing of all shapes and sizes G Yang, T Duan, JE Hu, H Salman, I Razenshteyn, J Li International Conference on Machine Learning, 10693-10705, 2020 | 133 | 2020 |
| Tensor programs iv: Feature learning in infinite-width neural networks G Yang, EJ Hu International Conference on Machine Learning, 11727-11737, 2021 | 104* | 2021 |
| Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting JE Hu, H Khayrallah, R Culkin, P Xia, T Chen, M Post, B Van Durme Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 90 | 2019 |
| ParaBank: Monolingual bitext generation and sentential paraphrasing via lexically-constrained neural machine translation JE Hu, R Rudinger, M Post, B Van Durme Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6521-6528, 2019 | 63 | 2019 |
| Large-scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering JE Hu, A Singh, N Holzenberger, M Post, B Van Durme Proceedings of the 23rd Conference on Computational Natural Language …, 2019 | 38 | 2019 |
| Tuning large neural networks via zero-shot hyperparameter transfer G Yang, E Hu, I Babuschkin, S Sidor, X Liu, D Farhi, N Ryder, J Pachocki, ... Advances in Neural Information Processing Systems 34, 17084-17097, 2021 | 37* | 2021 |
| Gflownet foundations Y Bengio, S Lahlou, T Deleu, EJ Hu, M Tiwari, E Bengio arXiv preprint arXiv:2111.09266, 2021 | 30 | 2021 |
| Improved Image Wasserstein Attacks and Defenses JE Hu, A Swaminathan, H Salman, G Yang arXiv preprint arXiv:2004.12478, 2020 | 11 | 2020 |
| GFlowNets and variational inference N Malkin, S Lahlou, T Deleu, X Ji, E Hu, K Everett, D Zhang, Y Bengio arXiv preprint arXiv:2210.00580, 2022 | 5 | 2022 |
| Efficient computation of deep nonlinear infinite-width neural networks that learn features G Yang, M Santacroce, EJ Hu International Conference on Learning Representations, 2022 | 5 | 2022 |
| Iterative paraphrastic augmentation with discriminative span alignment R Culkin, JE Hu, E Stengel-Eskin, G Qin, BV Durme Transactions of the Association for Computational Linguistics 9, 494-509, 2021 | 4 | 2021 |
| NIST TAC SM-KBP 2019 System Description: JHU/UR Framework. Y Chen, S Ebner, T Chen, P Xia, E Stengel-Eskin, TR Su, JE Hu, ... TAC, 2019 | 1 | 2019 |
| GFlowNet-EM for learning compositional latent variable models E Hu, N Malkin, M Jain, K Everett, A Graikos, Y Bengio arXiv preprint arXiv:2302.06576, 2023 | | 2023 |
Benjamin Van DurmeJohns Hopkins University; Microsoft Semantic MachinesVerified email at cs.jhu.edu
