Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data

24 October 2022

Papers citing "Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data"

37 / 37 papers shown

Title
Targeted synthetic data generation for tabular data via hardness characterization Tommaso Ferracci Leonie Goldmann Anton Hinel Francesco Sanna Passino 182 0 0 01 Oct 2024
Data-SUITE: Data-centric identification of in-distribution incongruous examples Nabeel Seedat Jonathan Crabbé Mihaela van der Schaar OOD 48 14 0 17 Feb 2022
What can Data-Centric AI Learn from Data and ML Engineering? N. Polyzotis Matei A. Zaharia AI4CE 31 51 0 13 Dec 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 96 681 0 05 Oct 2021
Statistical Learning to Operationalize a Domain Agnostic Data Quality Scoring S. Chug Priyanka Kaushal Ponnurangam Kumaraguru Tavpritesh Sethi 14 5 0 16 Aug 2021
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets Nitin Gupta Hima Patel S. Afzal Naveen Panwar Ruhi Sharma Mittal ... S. Mehta Sandeep Hans P. Lohia Aniya Aggarwal Diptikalyan Saha 48 41 0 12 Aug 2021
Just Train Twice: Improving Group Robustness without Training Group Information Emmy Liu Behzad Haghgoo Annie S. Chen Aditi Raghunathan Pang Wei Koh Shiori Sagawa Percy Liang Chelsea Finn OOD 84 557 0 19 Jul 2021
Data Sharing Markets M. Rasouli Michael I. Jordan FedML 37 20 0 19 Jul 2021
Deep Learning on a Data Diet: Finding Important Examples Early in Training Mansheej Paul Surya Ganguli Gintare Karolina Dziugaite 105 456 0 15 Jul 2021
Tabular Data: Deep Learning is Not All You Need Ravid Shwartz-Ziv Amitai Armon LMTD 133 1,256 0 06 Jun 2021
Towards Equity and Algorithmic Fairness in Student Grade Prediction Weijie Jiang Z. Pardos FaML 48 48 0 14 May 2021
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data Tong Xia Jing Han Lorena Qendro T. Dang Cecilia Mascolo 48 25 0 05 Apr 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 85 193 0 17 Feb 2021
A Data Quality-Driven View of MLOps Cédric Renggli Luka Rimanic Nezihe Merve Gürel Bojan Karlavs Wentao Wu Ce Zhang AI4TS 34 65 0 15 Feb 2021
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 227 163 0 14 Dec 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems N. Sohoni Jared A. Dunnmon Geoffrey Angus Albert Gu Christopher Ré 63 249 0 25 Nov 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics Swabha Swayamdipta Roy Schwartz Nicholas Lourie Yizhong Wang Hannaneh Hajishirzi Noah A. Smith Yejin Choi 88 447 0 22 Sep 2020
Ethical Machine Learning in Health Care Irene Y. Chen Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman Marzyeh Ghassemi AILaw 53 383 0 22 Sep 2020
SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources Zheng Li Yue Zhao Jia-lin Fu SyDa 35 28 0 20 Sep 2020
MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts Nabeel Seedat OOD 24 5 0 08 Jul 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking Geoff Pleiss Tianyi Zhang Ethan R. Elenberg Kilian Q. Weinberger NoLa 74 272 0 28 Jan 2020
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 85 1,234 0 20 Nov 2019
Towards calibrated and scalable uncertainty representations for neural networks Nabeel Seedat Christopher Kanan UQCV 56 19 0 28 Oct 2019
Modeling Tabular data using Conditional GAN Lei Xu Maria Skoularidou Alfredo Cuesta-Infante K. Veeramachaneni CML MU SyDa GAN 100 1,246 0 01 Jul 2019
Data Markets to support AI for All: Pricing, Valuation and Governance Ramesh Raskar Praneeth Vepakomma Tristan Swedish Aalekh Sharan TDI 38 16 0 14 May 2019
Data Shapley: Equitable Valuation of Data for Machine Learning Amirata Ghorbani James Zou TDI FedML 72 778 0 05 Apr 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 100 1,709 0 13 Feb 2019
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruosong Wang MLT 165 971 0 24 Jan 2019
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation Jishnu Mukhoti Y. Gal UQCV BDL 68 223 0 30 Nov 2018
How Complex is your classification problem? A survey on measuring classification complexity A. C. Lorena L. P. F. Garcia Jens Lehmann M. D. Souto T. Ho 35 232 0 10 Aug 2018
Fairness Without Demographics in Repeated Loss Minimization Tatsunori B. Hashimoto Megha Srivastava Hongseok Namkoong Percy Liang FaML 95 582 0 20 Jun 2018
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors S. Ghosh Jiayu Yao Finale Doshi-Velez BDL UQCV 36 78 0 13 Jun 2018
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 118 1,814 0 16 Jun 2017
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs Cristóbal Esteban Stephanie L. Hyland Gunnar Rätsch GAN SyDa MedIm 93 786 0 08 Jun 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 326 4,700 0 15 Mar 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 165 2,878 0 14 Mar 2017
Machine Learning that Matters K. Wagstaff 87 312 0 18 Jun 2012