| Detecting insider threats in a real corporate database of computer usage activity TE Senator, HG Goldberg, A Memory, WT Young, B Rees, R Pierce, ... Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 188 | 2013 |
| Case-based reasoning for natural language queries over knowledge bases R Das, M Zaheer, D Thai, A Godbole, E Perez, JY Lee, L Tan, ... arXiv preprint arXiv:2104.08762, 2021 | 187* | 2021 |
| Gradient-based inference for networks with output constraints JY Lee, SV Mehta, M Wick, JB Tristan, J Carbonell Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4147-4154, 2019 | 45 | 2019 |
| Net-ray: Visualizing and mining billion-scale graphs U Kang, JY Lee, D Koutra, C Faloutsos Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia …, 2014 | 43 | 2014 |
| Semi-supervised learning on meta structure: Multi-task tagging and parsing in low-resource scenarios KT Lim, JY Lee, J Carbonell, T Poibeau Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8344-8351, 2020 | 37 | 2020 |
| Modeling Label Space Interactions in Multi-label Classification using Box Embeddings D Patel, P Dangati, JY Lee, M Boratko, A McCallum International Conference on Learning Representations, 2021 | 34 | 2021 |
| StructSum: Summarization via Structured Representations V Balachandran, A Pagnoni, JY Lee, D Rajagopal, JG Carbonell, ... Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 30* | 2021 |
| Event-Event Relation Extraction using Probabilistic Box Embedding E Hwang, JY Lee, T Yang, D Patel, D Zhang, A McCallum ACL2022, 2021 | 29 | 2021 |
| Towards semi-supervised learning for deep semantic role labeling SV Mehta, JY Lee, J Carbonell arXiv preprint arXiv:1808.09543, 2018 | 28 | 2018 |
| Meta-adapters: Parameter efficient few-shot fine-tuning through meta-learning T Bansal, S Alzubi, T Wang, JY Lee, A McCallum International Conference on Automated Machine Learning, 19/1-18, 2022 | 22 | 2022 |
| Fast anomaly detection despite the duplicates JY Lee, U Kang, D Koutra, C Faloutsos Proceedings of the 22nd International Conference on World Wide Web, 195-196, 2013 | 21* | 2013 |
| Learning from a friend: improving event extraction via self-training with feedback from abstract meaning representation Z Xu, JY Lee, L Huang Association for Computational Linguistics, 2023 | 15* | 2023 |
| Preferential attachment in graphs with affinities J Lee, M Zaheer, S Günnemann, A Smola Artificial Intelligence and Statistics, 571-580, 2015 | 15 | 2015 |
| Influence propagation: Patterns, model and a case study Y Lin, AA Raza, JY Lee, D Koutra, R Rosenfeld, C Faloutsos Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia …, 2014 | 11 | 2014 |
| Improved latent tree induction with distant supervision via span constraints Z Xu, A Drozdov, JY Lee, T O'Gorman, S Rongali, D Finkbeiner, S Suresh, ... arXiv preprint arXiv:2109.05112, 2021 | 10 | 2021 |
| Re-rag: Improving open-domain qa performance and interpretability with relevance estimator in retrieval-augmented generation K Kim, JY Lee arXiv preprint arXiv:2406.05794, 2024 | 7 | 2024 |
| Enforcing Output Constraints via SGD: A Step Towards Neural Lagrangian Relaxation. JY Lee, ML Wick, JB Tristan, JG Carbonell AKBC@ NIPS, 2017 | 6 | 2017 |
| Structured Energy Network As a Loss JY Lee, D Patel, P Goyal, W Zhao, Z Xu, A McCallum Advances in Neural Information Processing Systems, 2022 | 3 | 2022 |
| Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning SI Park, SW Choi, NH Kim, JY Lee arXiv preprint arXiv:2408.04414, 2024 | 2 | 2024 |
| Multistage collaborative knowledge distillation from a large language model for semi-supervised sequence generation J Zhao, W Zhao, A Drozdov, B Rozonoyer, MA Sultan, JY Lee, M Iyyer, ... arXiv preprint arXiv:2311.08640, 2023 | 2 | 2023 |
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
