Approaching neural grammatical error correction as a low-resource machine translation task M Junczys-Dowmunt, R Grundkiewicz, S Guha, K Heafield arXiv preprint arXiv:1804.05940, 2018 | 199 | 2018 |
Language evolution in the lab tends toward informative communication. A Carstensen, J Xu, C Smith, T Regier CogSci, 2015 | 67 | 2015 |
Mlinspect: A data distribution debugger for machine learning pipelines S Grafberger, S Guha, J Stoyanovich, S Schelter Proceedings of the 2021 International Conference on Management of Data, 2736 …, 2021 | 26 | 2021 |
Screening native ml pipelines with “arguseyes” S Schelter, S Grafberger, S Guha, O Sprangers, B Karlaš, C Zhang Conference on Innovative Data Systems Research. CIDR, 2022 | 11 | 2022 |
Automated data cleaning can hurt fairness in machine learning-based decision making S Guha, FA Khan, J Stoyanovich, S Schelter IEEE Transactions on Knowledge and Data Engineering, 2024 | 7 | 2024 |
Proactively Screening Machine Learning Pipelines with ArgusEyes S Schelter, S Grafberger, S Guha, B Karlas, C Zhang Companion of the 2023 International Conference on Management of Data, 91-94, 2023 | 4 | 2023 |
mlwhatif: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses over and over? S Grafberger, S Guha, P Groth, S Schelter Proceedings of the VLDB Endowment 16 (12), 4002-4005, 2023 | 3 | 2023 |
Language evolution in the lab tends toward informative communication S Guha, A Carstensen, T Regier Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014 | | 2014 |
ETUDE–Evaluating the Inference Latency of Session-Based Recommendation Models at Scale B Kersbergen, O Sprangers, F Kootte, S Guha, M de Rijke, S Schelter | | |
Effective Grammatical Error Correction with Neural Machine Translation Techniques S Guha | | |
ARGUSEYES: Screening Native Machine Learning Pipelines S Grafberger, S Guha, O Sprangers, S Schelter | | |