Nabeel Seedat

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29 / 29 papers shown

Title
What's the next frontier for Data-centric AI? Data Savvy Agents Nabeel Seedat Jiashuo Liu Mihaela van der Schaar 0 0 0 02 Nov 2025
Towards Human-Guided, Data-Centric LLM Co-Pilots Evgeny S. Saveliev Jiashuo Liu Nabeel Seedat Anders Boyd Mihaela van der Schaar 61 1 0 17 Jan 2025
Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding Nabeel Seedat Caterina Tozzi Andrea Hita Ardiaca Mihaela van der Schaar James Weatherall Adam Taylor 818 0 0 20 Nov 2024
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World EnvironmentsNeural Information Processing Systems (NeurIPS), 2024 Paulius Rauba Nabeel Seedat Krzysztof Kacprzyk Mihaela van der Schaar AI4CE 199 4 0 31 Oct 2024
Matchmaker: Self-Improving Large Language Model Programs for Schema Matching Nabeel Seedat Mihaela van der Schaar 140 8 0 31 Oct 2024
Context-Aware Testing: A New Paradigm for Model Testing with Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024 Paulius Rauba Nabeel Seedat Max Ruiz Luyten Mihaela van der Schaar 35 5 0 31 Oct 2024
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling Nabeel Seedat Nicolas Huynh F. Imrie Mihaela van der Schaar 150 5 0 19 Jun 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise T. Pouplin Alan Jeffares Nabeel Seedat Mihaela van der Schaar 626 5 0 05 Jun 2024
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AIInternational Conference on Learning Representations (ICLR), 2024 Nabeel Seedat F. Imrie M. Schaar 121 14 0 07 Mar 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures Nicolas Huynh Jeroen Berrevoets Nabeel Seedat Jonathan Crabbé Zhaozhi Qian M. Schaar 190 1 0 26 Feb 2024
Large Language Models to Enhance Bayesian OptimizationInternational Conference on Learning Representations (ICLR), 2024 Tennison Liu Nicolás Astorga Nabeel Seedat M. Schaar 280 98 0 06 Feb 2024
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes Nabeel Seedat Nicolas Huynh B. V. Breugel M. Schaar 192 44 0 19 Dec 2023
When is Off-Policy Evaluation Useful? A Data-Centric Perspective Hao Sun Alex J. Chan Nabeel Seedat Alihan Huyuk M. Schaar ELM OffRL 130 3 0 23 Nov 2023
TRIAGE: Characterizing and auditing training data for improved regressionNeural Information Processing Systems (NeurIPS), 2023 Nabeel Seedat Jonathan Crabbé Zhaozhi Qian M. Schaar 94 7 0 29 Oct 2023
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive BenchmarkNeural Information Processing Systems (NeurIPS), 2023 Lasse Hansen Nabeel Seedat M. Schaar Andrija Petrović 178 31 0 25 Oct 2023
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test DataNeural Information Processing Systems (NeurIPS), 2023 B. V. Breugel Nabeel Seedat F. Imrie M. Schaar SyDa 111 35 0 25 Oct 2023
U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging E. Heremans Nabeel Seedat B. Buyse D. Testelmans M. Schaar Marina De Vos 131 7 0 07 Jun 2023
Improving Adaptive Conformal Prediction Using Self-Supervised LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Nabeel Seedat Alan Jeffares F. Imrie M. Schaar SSL 166 16 0 23 Feb 2023
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systemsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022 Nabeel Seedat F. Imrie M. Schaar 157 17 0 09 Nov 2022
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular dataNeural Information Processing Systems (NeurIPS), 2022 Nabeel Seedat Jonathan Crabbé Ioana Bica M. Schaar 109 31 0 24 Oct 2022
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty CategorizationNeural Information Processing Systems (NeurIPS), 2022 Hao Sun B. V. Breugel Jonathan Crabbé Nabeel Seedat M. Schaar 153 4 0 11 Jul 2022
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential EquationsInternational Conference on Machine Learning (ICML), 2022 Nabeel Seedat F. Imrie Alexis Bellot Zhaozhi Qian M. Schaar OOD CML 107 62 0 16 Jun 2022
Differentiable and Transportable Structure LearningInternational Conference on Machine Learning (ICML), 2022 Jeroen Berrevoets Nabeel Seedat F. Imrie M. Schaar 254 2 0 13 Jun 2022
Modeling Disagreement in Automatic Data Labelling for Semi-Supervised Learning in Clinical Natural Language Processing Hongshui Liu Nabeel Seedat Julia Ive 30 0 0 29 May 2022
Data-SUITE: Data-centric identification of in-distribution incongruous examplesInternational Conference on Machine Learning (ICML), 2022 Nabeel Seedat Jonathan Crabbé Mihaela van der Schaar OOD 132 15 0 17 Feb 2022
MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts Nabeel Seedat OOD 103 6 0 08 Jul 2020
Automated machine vision enabled detection of movement disorders from hand drawn spirals Nabeel Seedat V. Aharonson I. Schlesinger 35 8 0 22 Jun 2020
Machine learning discrimination of Parkinson's Disease stages from walker-mounted sensors data Nabeel Seedat V. Aharonson 44 5 0 22 Jun 2020
Towards calibrated and scalable uncertainty representations for neural networks Nabeel Seedat Christopher Kanan UQCV 145 20 0 28 Oct 2019

Nabeel Seedat

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