| 205 |
Snorkel: Rapid Training Data Creation with Weak Supervision |
2018 |
VLDB |
0.00025181304 |
| 329 |
Can Foundation Models Wrangle Your Data? |
2023 |
VLDB |
0.00020858443 |
| 883 |
HoloDetect: Few-Shot Learning for Error Detection |
2019 |
SIGMOD |
0.00013268059 |
| 1,308 |
Automating Large-Scale Data Quality Verification |
2018 |
VLDB |
0.0001107886 |
| 1,342 |
Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning |
2020 |
VLDB |
0.00010968223 |
| 1,361 |
Computing Optimal Repairs for Functional Dependencies |
2018 |
PODS |
0.00010917917 |
| 1,668 |
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle |
2020 |
CIDR |
9.9371612e-05 |
| 1,746 |
SMOKE: Fine-grained Lineage at Interactive Speed |
2018 |
VLDB |
9.7341914e-05 |
| 1,805 |
Raha: A Configuration-Free Error Detection System |
2019 |
SIGMOD |
9.59842e-05 |
| 1,847 |
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions |
2021 |
VLDB |
9.5120573e-05 |
| 1,971 |
Discovery of Approximate (and Exact) Denial Constraints |
2020 |
VLDB |
9.2873596e-05 |
| 1,978 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
9.2730152e-05 |
| 1,991 |
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation |
2021 |
VLDB |
9.2383849e-05 |
| 2,371 |
SCODED: Statistical Constraint Oriented Data Error Detection |
2020 |
SIGMOD |
8.5615698e-05 |
| 2,598 |
Complaint-driven Training Data Debugging for Query 2.0 |
2020 |
SIGMOD |
8.2385793e-05 |
| 2,613 |
Database Repairs and Consistent Query Answering: Origins and Further Developments |
2019 |
PODS |
8.2260448e-05 |
| 2,748 |
Uni-Detect: A Unified Approach to Automated Error Detection in Tables |
2019 |
SIGMOD |
8.0610697e-05 |
| 2,960 |
Auto-Detect: Data-Driven Error Detection in Tables |
2018 |
SIGMOD |
7.8075103e-05 |
| 3,013 |
Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale |
2022 |
SIGMOD |
7.7541678e-05 |
| 3,193 |
A Statistical Perspective on Discovering Functional Dependencies in Noisy Data |
2020 |
SIGMOD |
7.5505481e-05 |
| 3,263 |
Automatic Data Repair: Are We Ready to Deploy? |
2024 |
VLDB |
7.4809771e-05 |
| 3,288 |
Ten Years of WebTables |
2018 |
VLDB |
7.4530805e-05 |
| 3,292 |
Kamino: Constraint-Aware Differentially Private Data Synthesis |
2021 |
VLDB |
7.4491643e-05 |
| 3,331 |
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition |
2021 |
VLDB |
7.4166095e-05 |
| 3,360 |
Cleaning Denial Constraint Violations through Relaxation |
2020 |
SIGMOD |
7.3767115e-05 |
| 3,441 |
Efficient and Effective Data Imputation with Influence Functions |
2022 |
VLDB |
7.2980777e-05 |
| 3,627 |
The Role of Massively Multi-Task and Weak Supervision in Software 2.0 |
2019 |
CIDR |
7.1514557e-05 |
| 4,067 |
Fast Algorithms for Denial Constraint Discovery |
2023 |
VLDB |
6.8216078e-05 |
| 4,171 |
Data Integration and Machine Learning: A Natural Synergy |
2018 |
SIGMOD |
6.7608137e-05 |
| 4,347 |
Horizon: Scalable Dependency-driven Data Cleaning |
2021 |
VLDB |
6.6469984e-05 |
| 4,424 |
Auto-Transform: Learning-to-Transform by Patterns |
2020 |
VLDB |
6.6048065e-05 |
| 4,543 |
GOGGLES: Automatic Image Labeling with Affinity Coding |
2020 |
SIGMOD |
6.5470116e-05 |
| 4,953 |
Adaptive Data Augmentation for Supervised Learning over Missing Data |
2021 |
VLDB |
6.3416889e-05 |
| 5,076 |
Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond |
2021 |
SIGMOD |
6.2860582e-05 |
| 5,181 |
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale |
2019 |
SIGMOD |
6.2406557e-05 |
| 5,247 |
Enabling SQL-based Training Data Debugging for Federated Learning |
2022 |
VLDB |
6.2121767e-05 |
| 5,280 |
Fast Approximate Denial Constraint Discovery |
2023 |
VLDB |
6.1992888e-05 |
| 5,294 |
Cleanits: A Data Cleaning System for Industrial Time Series |
2019 |
VLDB |
6.1911943e-05 |
| 5,572 |
Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications |
2023 |
SIGMOD |
6.0802555e-05 |
| 5,643 |
Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks |
2023 |
VLDB |
6.0538129e-05 |
| 5,679 |
Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond |
2020 |
VLDB |
6.0404239e-05 |
| 5,864 |
Properties of Inconsistency Measures for Databases |
2021 |
SIGMOD |
5.9663944e-05 |
| 5,954 |
Semi-Supervised Data Cleaning with Raha and Baran |
2021 |
CIDR |
5.9357922e-05 |
| 6,285 |
Multivariate Time Series Cleaning under Speed Constraints |
2024 |
SIGMOD |
5.8230714e-05 |
| 6,525 |
Parallel Discrepancy Detection and Incremental Detection |
2021 |
VLDB |
5.756805e-05 |
| 6,552 |
Finding Label and Model Errors in Perception Data With Learned Observation Assertions |
2022 |
SIGMOD |
5.750057e-05 |
| 6,728 |
On Multiple Semantics for Declarative Database Repairs |
2020 |
SIGMOD |
5.6946342e-05 |
| 6,796 |
Intermittent Query Processing |
2019 |
VLDB |
5.6803529e-05 |
| 6,839 |
Probabilistic Databases for All |
2020 |
PODS |
5.6674588e-05 |
| 6,896 |
Synthesizing Linked Data Under Cardinality and Integrity Constraints |
2021 |
SIGMOD |
5.6532847e-05 |