| Gender bias in neural natural language processing K Lu, P Mardziel, F Wu, P Amancharla, A Datta Logic, language, and security: essays dedicated to Andre Scedrov on the …, 2020 | 394 | 2020 |
| Influence Patterns for Explaining Information Flow in BERT K Lu, Z Wang, P Mardziel, A Datta Advances in Neural Information Processing Systems 34, 2021 | 15 | 2021 |
| Machine learning explainability and robustness: connected at the hip A Datta, M Fredrikson, K Leino, K Lu, S Sen, Z Wang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 15 | 2021 |
| Grounding neural inference with satisfiability modulo theories Z Wang, S Vijayakumar, K Lu, V Ganesh, S Jha, M Fredrikson Advances in Neural Information Processing Systems 36, 2024 | 10* | 2024 |
| Influence paths for characterizing subject-verb number agreement in LSTM language models K Lu, P Mardziel, K Leino, M Fedrikson, A Datta Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 9 | 2020 |
| Exploring Conceptual Soundness with TruLens A Datta, M Fredrikson, K Leino, K Lu, S Sen, R Shih, Z Wang NeurIPS 2021 Competitions and Demonstrations Track, 302-307, 2022 | 3 | 2022 |
| Order-sensitive Shapley Values for Evaluating Conceptual Soundness of NLP Models K Lu, A Datta arXiv preprint arXiv:2206.00192, 2022 | | 2022 |
| Explaining and Evaluating Deep Neural Networks in Natural Language Processing K Lu Carnegie Mellon University, 2022 | | 2022 |
| Automated mutual improvement of oilfield models KL Feifei Zhang, Brent Charles Houchens, Joseph Blake Winston, Michael Keith ... US Patent US20190323323A1, 2019 | | 2019 |
| Comparison Between Data-Driven and Physics-Based Models of a Tabletop Analog to an Oil-Water Field A Elsey, E Myers, A Agrawal, K Lu, J Nguyen, P Saad, MS Elliott, ... 2017 Spring Meeting and 13th Global Congress on Process Safety, 0 | | |
Anupam DattaSnowflake AI Research, Ex-Professor CMU在 snowflake.com 的电子邮件经过验证
