Следене
Shubha Guha
Заглавие
Позовавания
Позовавания
Година
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
1992018
Language evolution in the lab tends toward informative communication.
A Carstensen, J Xu, C Smith, T Regier
CogSci, 2015
672015
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
262021
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
112022
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
72024
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
42023
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
32023
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
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