| Alibi explain: Algorithms for explaining machine learning models J Klaise, A Van Looveren, G Vacanti, A Coca Journal of Machine Learning Research 22 (181), 1-7, 2021 | 150 | 2021 |
| Monitoring and explainability of models in production J Klaise, A Van Looveren, C Cox, G Vacanti, A Coca arXiv preprint arXiv:2007.06299, 2020 | 54 | 2020 |
| Alibi: Algorithms for monitoring and explaining machine learning models J Klaise, A Van Looveren, G Vacanti, A Coca URL https://github. com/SeldonIO/alibi, 2020 | 29 | 2020 |
| Alibi detect: Algorithms for outlier, adversarial and drift detection, 2019 A Van Looveren, J Klaise, G Vacanti, O Cobb, A Scillitoe, R Samoilescu, ... URL https://github. com/SeldonIO/alibi-detect, 2019 | 24 | 2019 |
| Alibi detect: Algorithms for outlier, adversarial and drift detection A Van Looveren, J Klaise, G Vacanti, O Cobb, A Scillitoe, R Samoilescu, ... Github, 2019 | 22 | 2019 |
| Fine-grained late-interaction multi-modal retrieval for retrieval augmented visual question answering W Lin, J Chen, J Mei, A Coca, B Byrne Advances in Neural Information Processing Systems 36, 22820-22840, 2023 | 15 | 2023 |
| Alibi: Algorithms for monitoring and explaining machine learning models, 2019 J Klaise, A Van Looveren, G Vacanti, A Coca URL https://github. com/SeldonIO/alibi, 0 | 15 | |
| Alibi-Detect: Algorithms for outlier and adversarial instance detection, concept drift and metrics A Van Looveren, G Vacanti, J Klaise, A Coca GitHub repository, 2019 | 7 | 2019 |
| Alibi-Detect: Algorithms for outlier and adversarial instance detection, concept drift and metrics. 2019 A Van Looveren, G Vacanti, J Klaise, A Coca URL https://github. com/SeldonIO/alibi-detect, 0 | 5 | |
| GCDF1: A Goal-and Context-Driven F-Score for Evaluating User Models A Coca, BH Tseng, B Byrne The First Workshop on Evaluations and Assessments of Neural Conversation …, 2021 | 2 | 2021 |
| The First Workshop on Evaluations and Assessments of Neural Conversation Systems W Wei, B Dai, T Zhao, L Li, D Yang, YN Chen, YL Boureau, A Celikyilmaz, ... The First Workshop on Evaluations and Assessments of Neural Conversation Systems, 2021 | 2 | 2021 |
| LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues J Stacey, J Cheng, J Torr, T Guigue, J Driesen, A Coca, M Gaynor, ... arXiv preprint arXiv:2403.00462, 2024 | 1 | 2024 |
| More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking A Coca, BH Tseng, W Lin, B Byrne arXiv preprint arXiv:2303.09905, 2023 | 1 | 2023 |
| uFACT: Unfaithful alien-corpora training for semantically consistent data-to-text generation T Anders, A Coca, B Byrne Findings of the Association for Computational Linguistics: ACL 2022, 2836-2841, 2022 | 1 | 2022 |
| Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries S Lee, J Chen, J Driesen, A Coca, A Johannsen arXiv preprint arXiv:2402.13043, 2024 | | 2024 |
| Grounding Description-Driven Dialogue State Trackers with Knowledge-Seeking Turns A Coca, BH Tseng, J Chen, W Lin, W Zhang, T Anders, B Byrne arXiv preprint arXiv:2309.13448, 2023 | | 2023 |
| Auto-Encoding Variational Bayes P Ball, A Coca, O Mahmood, R Shen | | 2018 |
Janis KlaiseSeldon Technologies Ltd在 seldon.io 的电子邮件经过验证
