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1807.06068
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Automated Data Slicing for Model Validation:A Big data - AI Integration Approach
IEEE International Conference on Data Engineering (ICDE), 2018
16 July 2018
Yeounoh Chung
Tim Kraska
N. Polyzotis
Ki Hyun Tae
Steven Euijong Whang
Re-assign community
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Papers citing
"Automated Data Slicing for Model Validation:A Big data - AI Integration Approach"
50 / 64 papers shown
Active Slice Discovery in Large Language Models
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Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations
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Understand your Users, An Ensemble Learning Framework for Natural Noise Filtering in Recommender Systems
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Wissam Al Jurdi
Jacques Bou Abdo
J. Demerjian
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172
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23 Sep 2025
BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models
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Graham Neubig
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02 Jun 2025
VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis
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Xiwei Xuan
Jorge Henrique Piazentin Ono
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Liang Gou
Bei Wang
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308
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06 May 2025
A Causal Framework for Aligning Image Quality Metrics and Deep Neural Network Robustness
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Mathias Unberath
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04 Mar 2025
Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions
Sujan Sai Gannamaneni
Rohil Prakash Rao
Michael Mock
Maram Akila
Stefan Wrobel
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951
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17 Feb 2025
Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models
International Conference on Learning Representations (ICLR), 2024
Mazda Moayeri
Vidhisha Balachandran
Varun Chandrasekaran
Safoora Yousefi
Thomas Fel
Soheil Feizi
Besmira Nushi
Neel Joshi
Vibhav Vineet
311
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17 Oct 2024
What Is Wrong with My Model? Identifying Systematic Problems with Semantic Data Slicing
International Conference on Automated Software Engineering (ASE), 2024
Chenyang Yang
Yining Hong
Grace A. Lewis
Tongshuang Wu
Jane Hsieh
236
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0
14 Sep 2024
LADDER: Language Driven Slice Discovery and Error Rectification
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Rayan Syed
Chenyu Wang
Clare B. Poynton
Kayhan Batmanghelich
220
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How to Evaluate Entity Resolution Systems: An Entity-Centric Framework with Application to Inventor Name Disambiguation
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Abel Dasylva
Jerome P. Reiter
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On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Kushagra Pandey
Robert Bamler
Sina Daubener
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Yixin Wang
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Frank Wood
Stephan Mandt
Vincent Fortuin
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28 Feb 2024
Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence
Sascha Xu
Nils Philipp Walter
Janis Kalofolias
Jilles Vreeken
139
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20 Feb 2024
Example-based Explanations for Random Forests using Machine Unlearning
Tanmay Surve
Romila Pradhan
FaML
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233
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07 Feb 2024
Multi-group Learning for Hierarchical Groups
Samuel Deng
Daniel Hsu
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393
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01 Feb 2024
AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024
Xiwei Xuan
Jorge Henrique Piazentin Ono
Liang Gou
Kwan-Liu Ma
Liu Ren
281
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12 Jan 2024
Language-assisted Vision Model Debugger: A Sample-Free Approach to Finding and Fixing Bugs
Chaoquan Jiang
Jinqiang Wang
Rui Hu
Jitao Sang
198
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09 Dec 2023
Identifying and Mitigating Model Failures through Few-shot CLIP-aided Diffusion Generation
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Soheil Feizi
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165
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09 Dec 2023
Data-Centric Digital Agriculture: A Perspective
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Lukas Roth
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Achim Walter
235
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Assessing Systematic Weaknesses of DNNs using Counterfactuals
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Sujan Sai Gannamaneni
Michael Mock
Maram Akila
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188
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03 Aug 2023
Is this model reliable for everyone? Testing for strong calibration
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Jean Feng
Alexej Gossmann
Romain Pirracchio
N. Petrick
Gene Pennello
B. Sahiner
195
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28 Jul 2023
Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2023
Nari Johnson
Ángel Alexander Cabrera
Gregory Plumb
Ameet Talwalkar
278
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13 Jun 2023
Efficient Failure Pattern Identification of Predictive Algorithms
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Bao Nguyen
Viet Anh Nguyen
199
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01 Jun 2023
Automatic Generation of Attention Rules For Containment of Machine Learning Model Errors
Samuel Ackerman
Axel Bendavid
E. Farchi
Orna Raz
180
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14 May 2023
PiML Toolbox for Interpretable Machine Learning Model Development and Diagnostics
Agus Sudjianto
Aijun Zhang
Zebin Yang
Yuhao Su
Ningzhou Zeng
251
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07 May 2023
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
International Conference on Machine Learning (ICML), 2023
Yu Yang
Besmira Nushi
Hamid Palangi
Baharan Mirzasoleiman
261
58
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08 Apr 2023
Data-centric Artificial Intelligence: A Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Daochen Zha
Zaid Pervaiz Bhat
Kwei-Herng Lai
Fan Yang
Zhimeng Jiang
Shaochen Zhong
Helen Zhou
442
335
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17 Mar 2023
fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks
International Conference on Human Factors in Computing Systems (CHI), 2023
Steven Moore
Q. V. Liao
Hariharan Subramonyam
190
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22 Feb 2023
On the contribution of pre-trained models to accuracy and utility in modeling distributed energy resources
H. Kazmi
Pierre Pinson
141
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22 Feb 2023
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience
International Conference on Human Factors in Computing Systems (CHI), 2023
Q. V. Liao
Hariharan Subramonyam
Jennifer Wang
Jennifer Wortman Vaughan
HAI
234
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21 Feb 2023
Why is the prediction wrong? Towards underfitting case explanation via meta-classification
International Conference on Data Science and Advanced Analytics (DSAA), 2022
Sheng Zhou
P. Blanchart
M. Crucianu
Marin Ferecatu
203
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20 Feb 2023
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning
International Conference on Human Factors in Computing Systems (CHI), 2023
Ángel Alexander Cabrera
Erica Fu
Donald Bertucci
Kenneth Holstein
Ameet Talwalkar
Jason I. Hong
Adam Perer
190
61
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09 Feb 2023
Diagnosing and Rectifying Vision Models using Language
International Conference on Learning Representations (ICLR), 2023
Yuhui Zhang
Jeff Z. HaoChen
Shih-Cheng Huang
Kuan-Chieh Wang
James Zou
Serena Yeung
210
61
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08 Feb 2023
Data-centric AI: Perspectives and Challenges
SDM (SDM), 2023
Daochen Zha
Zaid Pervaiz Bhat
Kwei-Herng Lai
Fan Yang
Helen Zhou
230
88
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12 Jan 2023
Improving Human-AI Collaboration With Descriptions of AI Behavior
Ángel Alexander Cabrera
Adam Perer
Jason I. Hong
244
64
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06 Jan 2023
Fraud Analytics: A Decade of Research -- Organizing Challenges and Solutions in the Field
Expert systems with applications (ESWA), 2022
Christopher Bockel-Rickermann
Tim Verdonck
Wouter Verbeke
216
15
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07 Dec 2022
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization
International Conference on Learning Representations (ICLR), 2022
Bhargavi Paranjape
Pradeep Dasigi
Vivek Srikumar
Luke Zettlemoyer
Hannaneh Hajishirzi
241
9
0
02 Dec 2022
Data-Centric Debugging: mitigating model failures via targeted data collection
Sahil Singla
Atoosa Malemir Chegini
Mazda Moayeri
Soheil Feiz
219
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DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Nabeel Seedat
F. Imrie
M. Schaar
229
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Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models
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Nari Johnson
Ángel Alexander Cabrera
Ameet Talwalkar
281
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08 Jul 2022
Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases
Visual .. (VISUAL), 2022
David Munechika
Zijie J. Wang
Jack Reidy
Josh Rubin
Krishna Gade
K. Kenthapadi
Duen Horng Chau
MLAU
160
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Attributing AUC-ROC to Analyze Binary Classifier Performance
Arya Tafvizi
Besim Avci
Mukund Sundararajan
113
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24 May 2022
Core Risk Minimization using Salient ImageNet
Sahil Singla
Mazda Moayeri
Soheil Feizi
278
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Domino: Discovering Systematic Errors with Cross-Modal Embeddings
International Conference on Learning Representations (ICLR), 2022
Sabri Eyuboglu
M. Varma
Khaled Kamal Saab
Jean-Benoit Delbrouck
Christopher Lee-Messer
Jared A. Dunnmon
James Zou
Christopher Ré
350
171
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24 Mar 2022
Representation Bias in Data: A Survey on Identification and Resolution Techniques
ACM Computing Surveys (ACM CSUR), 2022
N. Shahbazi
Yin Lin
Abolfazl Asudeh
H. V. Jagadish
288
110
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22 Mar 2022
iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models
International Conference on Intelligent User Interfaces (IUI), 2022
Jun Yuan
Jesse Vig
Nazneen Rajani
182
18
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08 Mar 2022
Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data
G. Tadesse
William Ogallo
C. Cintas
Skyler Speakman
171
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08 Mar 2022
Interpretable Data-Based Explanations for Fairness Debugging
Romila Pradhan
Jiongli Zhu
Boris Glavic
Babak Salimi
292
66
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17 Dec 2021
Salient ImageNet: How to discover spurious features in Deep Learning?
International Conference on Learning Representations (ICLR), 2021
Sahil Singla
Soheil Feizi
AAML
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371
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08 Oct 2021
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