| 252 |
Snorkel: Rapid Training Data Creation with Weak Supervision |
2018 |
VLDB |
0.00030532082 |
| 516 |
Can Foundation Models Wrangle Your Data? |
2023 |
VLDB |
0.00021194444 |
| 1,340 |
HoloDetect: Few-Shot Learning for Error Detection |
2019 |
SIGMOD |
0.00012492795 |
| 1,481 |
Automating Large-Scale Data Quality Verification |
2018 |
VLDB |
0.00011715754 |
| 1,895 |
Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning |
2020 |
VLDB |
0.00010174634 |
| 2,122 |
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle |
2020 |
CIDR |
9.4905306e-05 |
| 2,161 |
Uni-Detect: A Unified Approach to Automated Error Detection in Tables |
2019 |
SIGMOD |
9.4029915e-05 |
| 2,286 |
SMOKE: Fine-grained Lineage at Interactive Speed |
2018 |
VLDB |
9.102574e-05 |
| 2,308 |
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions |
2021 |
VLDB |
9.0634287e-05 |
| 2,348 |
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation |
2021 |
VLDB |
8.9903659e-05 |
| 2,484 |
Discovery of Approximate (and Exact) Denial Constraints |
2020 |
VLDB |
8.6737275e-05 |
| 2,507 |
Auto-Detect: Data-Driven Error Detection in Tables |
2018 |
SIGMOD |
8.6254741e-05 |
| 2,574 |
Database Repairs and Consistent Query Answering: Origins and Further Developments |
2019 |
PODS |
8.5126812e-05 |
| 2,585 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
8.4909917e-05 |
| 2,759 |
Complaint-driven Training Data Debugging for Query 2.0 |
2020 |
SIGMOD |
8.1646193e-05 |
| 2,845 |
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition |
2021 |
VLDB |
8.0301674e-05 |
| 2,960 |
The Role of Massively Multi-Task and Weak Supervision in Software 2.0 |
2019 |
CIDR |
7.8103118e-05 |
| 2,968 |
Raha: A Configuration-Free Error Detection System |
2019 |
SIGMOD |
7.7964476e-05 |
| 3,163 |
Ten Years of WebTables |
2018 |
VLDB |
7.4611268e-05 |
| 3,303 |
SCODED: Statistical Constraint Oriented Data Error Detection |
2020 |
SIGMOD |
7.2438671e-05 |
| 3,313 |
Efficient and Effective Data Imputation with Influence Functions |
2022 |
VLDB |
7.2336734e-05 |
| 3,397 |
Automatic Data Repair: Are We Ready to Deploy? |
2024 |
VLDB |
7.1386386e-05 |
| 3,716 |
Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale |
2022 |
SIGMOD |
6.8170433e-05 |
| 3,828 |
Cleanits: A Data Cleaning System for Industrial Time Series |
2019 |
VLDB |
6.7191138e-05 |
| 3,834 |
Kamino: Constraint-Aware Differentially Private Data Synthesis |
2021 |
VLDB |
6.713066e-05 |
| 4,129 |
A Statistical Perspective on Discovering Functional Dependencies in Noisy Data |
2020 |
SIGMOD |
6.4208557e-05 |
| 4,271 |
Cleaning Denial Constraint Violations through Relaxation |
2020 |
SIGMOD |
6.2943273e-05 |
| 4,471 |
GOGGLES: Automatic Image Labeling with Affinity Coding |
2020 |
SIGMOD |
6.1496765e-05 |
| 4,596 |
Data Integration and Machine Learning: A Natural Synergy |
2018 |
SIGMOD |
6.0540725e-05 |
| 5,026 |
Adaptive Data Augmentation for Supervised Learning over Missing Data |
2021 |
VLDB |
5.7451454e-05 |
| 5,096 |
Auto-Transform: Learning-to-Transform by Patterns |
2020 |
VLDB |
5.6960764e-05 |
| 5,150 |
Horizon: Scalable Dependency-driven Data Cleaning |
2021 |
VLDB |
5.6553571e-05 |
| 5,227 |
Enabling SQL-based Training Data Debugging for Federated Learning |
2022 |
VLDB |
5.6156523e-05 |
| 5,257 |
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale |
2019 |
SIGMOD |
5.5975788e-05 |
| 5,420 |
Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond |
2020 |
VLDB |
5.5154502e-05 |
| 5,974 |
Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond |
2021 |
SIGMOD |
5.2458154e-05 |
| 6,139 |
Finding Label and Model Errors in Perception Data With Learned Observation Assertions |
2022 |
SIGMOD |
5.1893488e-05 |
| 6,188 |
Semi-Supervised Data Cleaning with Raha and Baran |
2021 |
CIDR |
5.1607275e-05 |
| 6,279 |
Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks |
2023 |
VLDB |
5.1241232e-05 |
| 6,447 |
Multivariate Time Series Cleaning under Speed Constraints |
2024 |
SIGMOD |
5.0534784e-05 |
| 6,470 |
Fast Algorithms for Denial Constraint Discovery |
2023 |
VLDB |
5.0439835e-05 |
| 6,544 |
Properties of Inconsistency Measures for Databases |
2021 |
SIGMOD |
5.013741e-05 |
| 6,552 |
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses |
2024 |
VLDB |
5.0109216e-05 |
| 6,685 |
Probabilistic Databases for All |
2020 |
PODS |
4.9591332e-05 |
| 6,691 |
Parallel Discrepancy Detection and Incremental Detection |
2021 |
VLDB |
4.9573939e-05 |
| 6,886 |
Synthesizing Linked Data Under Cardinality and Integrity Constraints |
2021 |
SIGMOD |
4.8904572e-05 |
| 6,948 |
DataPrism: Exposing Disconnect between Data and Systems |
2022 |
SIGMOD |
4.8865863e-05 |
| 7,062 |
On Multiple Semantics for Declarative Database Repairs |
2020 |
SIGMOD |
4.8398632e-05 |
| 7,221 |
Akane: Perplexity-Guided Time Series Data Cleaning |
2024 |
SIGMOD |
4.7919849e-05 |
| 7,241 |
Data Integration and Machine Learning: A Natural Synergy |
2018 |
VLDB |
4.7867685e-05 |