Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models X Jin, J Du, Z Wei, X Xue, X Ren International Conference on Learning Representations(ICLR) 2020, 2019 | 126 | 2019 |
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning X Jin, A Sadhu, J Du, X Ren Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 117 | 2021 |
Nero: A neural rule grounding framework for label-efficient relation extraction W Zhou, H Lin, BY Lin, Z Wang, J Du, L Neves, X Ren Proceedings of The Web Conference 2020, 2166-2176, 2020 | 62 | 2020 |
Gradient based memory editing for task-free continual learning X Jin, A Sadhu, J Du, X Ren arXiv preprint arXiv:2006.15294, 2020 | 28 | 2020 |
A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos FF Xu, L Ji, B Shi, J Du, G Neubig, Y Bisk, N Duan arXiv preprint arXiv:2005.00706, 2020 | 25 | 2020 |
Visually Grounded Continual Learning of Compositional Semantics X Jin, J Du, X Ren The 2020 Conference on Empirical Methods in Natural Language Processing …, 2020 | 20* | 2020 |
Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis J Du, H Jiang, J Shen, X Ren Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 2 | 2019 |