| Low-dimensional embeddings for interpretable anchor-based topic inference D Mimno, M Lee Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 162 | 2014 |
| Pure transformers are powerful graph learners J Kim, D Nguyen, S Min, S Cho, M Lee, H Lee, S Hong Advances in Neural Information Processing Systems 35, 14582-14595, 2022 | 111 | 2022 |
| Taskgenies: Automatically providing action plans helps people complete tasks N Kokkalis, T Köhn, J Huebner, M Lee, F Schulze, SR Klemmer ACM Transactions on Computer-Human Interaction (TOCHI) 20 (5), 1-25, 2013 | 52 | 2013 |
| Knowledge unlearning for mitigating privacy risks in language models J Jang, D Yoon, S Yang, S Cha, M Lee, L Logeswaran, M Seo arXiv preprint arXiv:2210.01504, 2022 | 45 | 2022 |
| Reasoning in vector space: An exploratory study of question answering M Lee, X He, W Yih, J Gao, L Deng, P Smolensky arXiv preprint arXiv:1511.06426, 2015 | 44 | 2015 |
| Exploring the benefits of training expert language models over instruction tuning J Jang, S Kim, S Ye, D Kim, L Logeswaran, M Lee, K Lee, M Seo International Conference on Machine Learning, 14702-14729, 2023 | 33 | 2023 |
| Basic reasoning with tensor product representations P Smolensky, M Lee, X He, W Yih, J Gao, L Deng arXiv preprint arXiv:1601.02745, 2016 | 25 | 2016 |
| Robust spectral inference for joint stochastic matrix factorization M Lee, D Bindel, D Mimno Advances in neural information processing systems 28, 2015 | 18 | 2015 |
| Few-shot subgoal planning with language models L Logeswaran, Y Fu, M Lee, H Lee arXiv preprint arXiv:2205.14288, 2022 | 16 | 2022 |
| Time-lapse, single cell based confocal imaging analysis of caspase activation and phosphatidylserine flipping during cellular apoptosis SY Hwang, SH Cho, DY Cho, M Lee, J Choo, KH Jung, JH Maeng, ... Biotechnic & Histochemistry 86 (3), 181-187, 2011 | 15 | 2011 |
| Automatically providing action plans helps people complete tasks N Kokkalis, J Huebner, S Diamond, D Becker, M Chang, M Lee, F Schulze, ... Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012 | 9 | 2012 |
| Merging generated and retrieved knowledge for open-domain QA Y Zhang, M Khalifa, L Logeswaran, M Lee, H Lee, L Wang arXiv preprint arXiv:2310.14393, 2023 | 8 | 2023 |
| Unsupervised task graph generation from instructional video transcripts L Logeswaran, S Sohn, Y Jang, M Lee, H Lee arXiv preprint arXiv:2302.09173, 2023 | 8 | 2023 |
| Rebalancing batch normalization for exemplar-based class-incremental learning S Cha, S Cho, D Hwang, S Hong, M Lee, T Moon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Low-dimensional embeddings for interpretable anchor-based topic inference M Lee, D Mimno arXiv preprint arXiv:1711.06826, 2017 | 8 | 2017 |
| Learning to unlearn: Instance-wise unlearning for pre-trained classifiers S Cha, S Cho, D Hwang, H Lee, T Moon, M Lee Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11186 …, 2024 | 7 | 2024 |
| Discriminator-guided multi-step reasoning with language models M Khalifa, L Logeswaran, M Lee, H Lee, L Wang arXiv preprint arXiv:2305.14934, 2023 | 7 | 2023 |
| CEDe: A collection of expert-curated datasets with atom-level entity annotations for optical chemical structure recognition R Hormazabal, C Park, S Lee, S Han, Y Jo, J Lee, A Jo, SH Kim, J Choo, ... Advances in Neural Information Processing Systems 35, 27114-27126, 2022 | 7 | 2022 |
| Practical correlated topic modeling and analysis via the rectified anchor word algorithm M Lee, S Cho, D Bindel, D Mimno Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 7 | 2019 |
| Multimodal subtask graph generation from instructional videos Y Jang, S Sohn, L Logeswaran, T Luo, M Lee, H Lee arXiv preprint arXiv:2302.08672, 2023 | 6 | 2023 |
