| 205 |
Snorkel: Rapid Training Data Creation with Weak Supervision |
2018 |
VLDB |
0.00025171314 |
| 329 |
Can Foundation Models Wrangle Your Data? |
2023 |
VLDB |
0.00020867521 |
| 884 |
HoloDetect: Few-Shot Learning for Error Detection |
2019 |
SIGMOD |
0.00013263269 |
| 1,308 |
Automating Large-Scale Data Quality Verification |
2018 |
VLDB |
0.00011073863 |
| 1,342 |
Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning |
2020 |
VLDB |
0.00010963254 |
| 1,362 |
Computing Optimal Repairs for Functional Dependencies |
2018 |
PODS |
0.00010912749 |
| 1,669 |
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle |
2020 |
CIDR |
9.9324573e-05 |
| 1,713 |
SMOKE: Fine-grained Lineage at Interactive Speed |
2018 |
VLDB |
9.8129981e-05 |
| 1,805 |
Raha: A Configuration-Free Error Detection System |
2019 |
SIGMOD |
9.5938877e-05 |
| 1,848 |
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions |
2021 |
VLDB |
9.5075544e-05 |
| 1,972 |
Discovery of Approximate (and Exact) Denial Constraints |
2020 |
VLDB |
9.2829634e-05 |
| 1,977 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
9.2760522e-05 |
| 1,993 |
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation |
2021 |
VLDB |
9.2348951e-05 |
| 2,372 |
SCODED: Statistical Constraint Oriented Data Error Detection |
2020 |
SIGMOD |
8.5575299e-05 |
| 2,600 |
Complaint-driven Training Data Debugging for Query 2.0 |
2020 |
SIGMOD |
8.2346824e-05 |
| 2,614 |
Database Repairs and Consistent Query Answering: Origins and Further Developments |
2019 |
PODS |
8.2221507e-05 |
| 2,748 |
Uni-Detect: A Unified Approach to Automated Error Detection in Tables |
2019 |
SIGMOD |
8.0572603e-05 |
| 2,962 |
Auto-Detect: Data-Driven Error Detection in Tables |
2018 |
SIGMOD |
7.8038782e-05 |
| 3,015 |
Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale |
2022 |
SIGMOD |
7.7504975e-05 |
| 3,194 |
A Statistical Perspective on Discovering Functional Dependencies in Noisy Data |
2020 |
SIGMOD |
7.5469742e-05 |
| 3,264 |
Automatic Data Repair: Are We Ready to Deploy? |
2024 |
VLDB |
7.4774357e-05 |
| 3,289 |
Ten Years of WebTables |
2018 |
VLDB |
7.4500131e-05 |
| 3,292 |
Kamino: Constraint-Aware Differentially Private Data Synthesis |
2021 |
VLDB |
7.445638e-05 |
| 3,332 |
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition |
2021 |
VLDB |
7.4130985e-05 |
| 3,360 |
Cleaning Denial Constraint Violations through Relaxation |
2020 |
SIGMOD |
7.3732195e-05 |
| 3,441 |
Efficient and Effective Data Imputation with Influence Functions |
2022 |
VLDB |
7.2946229e-05 |
| 3,627 |
The Role of Massively Multi-Task and Weak Supervision in Software 2.0 |
2019 |
CIDR |
7.1492314e-05 |
| 4,070 |
Fast Algorithms for Denial Constraint Discovery |
2023 |
VLDB |
6.8183785e-05 |
| 4,171 |
Data Integration and Machine Learning: A Natural Synergy |
2018 |
SIGMOD |
6.7576159e-05 |
| 4,348 |
Horizon: Scalable Dependency-driven Data Cleaning |
2021 |
VLDB |
6.6438522e-05 |
| 4,426 |
Auto-Transform: Learning-to-Transform by Patterns |
2020 |
VLDB |
6.601896e-05 |
| 4,544 |
GOGGLES: Automatic Image Labeling with Affinity Coding |
2020 |
SIGMOD |
6.5439123e-05 |
| 4,955 |
Adaptive Data Augmentation for Supervised Learning over Missing Data |
2021 |
VLDB |
6.3386868e-05 |
| 5,078 |
Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond |
2021 |
SIGMOD |
6.2832055e-05 |
| 5,182 |
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale |
2019 |
SIGMOD |
6.2377015e-05 |
| 5,251 |
Enabling SQL-based Training Data Debugging for Federated Learning |
2022 |
VLDB |
6.2092359e-05 |
| 5,283 |
Fast Approximate Denial Constraint Discovery |
2023 |
VLDB |
6.1963542e-05 |
| 5,298 |
Cleanits: A Data Cleaning System for Industrial Time Series |
2019 |
VLDB |
6.1882634e-05 |
| 5,574 |
Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications |
2023 |
SIGMOD |
6.0773771e-05 |
| 5,645 |
Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks |
2023 |
VLDB |
6.0509471e-05 |
| 5,680 |
Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond |
2020 |
VLDB |
6.0375644e-05 |
| 5,866 |
Properties of Inconsistency Measures for Databases |
2021 |
SIGMOD |
5.96357e-05 |
| 5,956 |
Semi-Supervised Data Cleaning with Raha and Baran |
2021 |
CIDR |
5.9329823e-05 |
| 6,288 |
Multivariate Time Series Cleaning under Speed Constraints |
2024 |
SIGMOD |
5.8203148e-05 |
| 6,528 |
Parallel Discrepancy Detection and Incremental Detection |
2021 |
VLDB |
5.7540798e-05 |
| 6,554 |
Finding Label and Model Errors in Perception Data With Learned Observation Assertions |
2022 |
SIGMOD |
5.7473435e-05 |
| 6,734 |
On Multiple Semantics for Declarative Database Repairs |
2020 |
SIGMOD |
5.6919385e-05 |
| 6,801 |
Intermittent Query Processing |
2019 |
VLDB |
5.6776677e-05 |
| 6,843 |
Probabilistic Databases for All |
2020 |
PODS |
5.6647759e-05 |
| 6,898 |
Synthesizing Linked Data Under Cardinality and Integrity Constraints |
2021 |
SIGMOD |
5.6506085e-05 |