| 181 |
Deep Learning for Entity Matching: A Design Space Exploration |
2018 |
SIGMOD |
0.00026923442 |
| 906 |
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes |
2024 |
VLDB |
0.00013351599 |
| 926 |
HoloDetect: Few-Shot Learning for Error Detection |
2019 |
SIGMOD |
0.00013229887 |
| 1,080 |
Snuba: Automating Weak Supervision to Label Training Data |
2019 |
VLDB |
0.0001239664 |
| 1,536 |
HELIX: Holistic Optimization for Accelerating Iterative Machine Learning |
2019 |
VLDB |
0.00010490973 |
| 2,019 |
Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning |
2020 |
SIGMOD |
9.3828128e-05 |
| 2,133 |
DBPal: A Fully Pluggable NL2SQL Training Pipeline |
2020 |
SIGMOD |
9.1819568e-05 |
| 2,243 |
SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging |
2021 |
SIGMOD |
8.9475888e-05 |
| 3,144 |
Fonduer: Knowledge Base Construction from Richly Formatted Data |
2018 |
SIGMOD |
7.7688364e-05 |
| 3,234 |
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition |
2021 |
VLDB |
7.6850504e-05 |
| 3,549 |
The Role of Massively Multi-Task and Weak Supervision in Software 2.0 |
2019 |
CIDR |
7.3816787e-05 |
| 3,554 |
Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins |
2022 |
VLDB |
7.3770107e-05 |
| 3,800 |
Smile: A System to Support Machine Learning on EEG Data at Scale |
2019 |
VLDB |
7.1680016e-05 |
| 3,881 |
Overton: A Data System for Monitoring and Improving Machine-Learned Products |
2020 |
CIDR |
7.1066569e-05 |
| 3,911 |
MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems |
2021 |
SIGMOD |
7.0870659e-05 |
| 4,059 |
Data Integration and Machine Learning: A Natural Synergy |
2018 |
SIGMOD |
6.9975008e-05 |
| 4,221 |
AutoOD: Automatic Outlier Detection |
2023 |
SIGMOD |
6.8862117e-05 |
| 4,381 |
GOGGLES: Automatic Image Labeling with Affinity Coding |
2020 |
SIGMOD |
6.7988732e-05 |
| 4,545 |
spade: Synthesizing Data Quality Assertions for Large Language Model Pipelines |
2024 |
VLDB |
6.704524e-05 |
| 4,597 |
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning |
2021 |
SIGMOD |
6.6836728e-05 |
| 4,805 |
Selective Data Acquisition in the Wild for Model Charging |
2022 |
VLDB |
6.5663072e-05 |
| 4,854 |
ODIN: Automated Drift Detection and Recovery in Video Analytics |
2020 |
VLDB |
6.5424395e-05 |
| 5,003 |
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale |
2019 |
SIGMOD |
6.4732621e-05 |
| 5,014 |
Towards Benchmarking Feature Type Inference for AutoML Platforms |
2021 |
SIGMOD |
6.46838e-05 |
| 5,225 |
Explainable AI: Foundations, Applications, Opportunities for Data Management Research |
2022 |
SIGMOD |
6.3782447e-05 |
| 5,352 |
MDedup: Duplicate Detection with Matching Dependencies |
2020 |
VLDB |
6.3223357e-05 |
| 5,367 |
Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond |
2021 |
SIGMOD |
6.3159594e-05 |
| 5,471 |
Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond |
2020 |
VLDB |
6.2747651e-05 |
| 5,637 |
Adaptive Rule Discovery for Labeling Text Data |
2021 |
SIGMOD |
6.2036009e-05 |
| 5,852 |
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems |
2021 |
VLDB |
6.1270605e-05 |
| 5,928 |
VOCAL: Video Organization and Interactive Compositional AnaLytics |
2022 |
CIDR |
6.1004421e-05 |
| 5,964 |
Demonstration of Panda: A Weakly Supervised Entity Matching System |
2021 |
VLDB |
6.0876865e-05 |
| 5,965 |
Expand your Training Limits! Generating Training Data for ML-based Data Management |
2021 |
SIGMOD |
6.0876627e-05 |
| 6,017 |
Automatic Data Acquisition for Deep Learning |
2021 |
VLDB |
6.0676337e-05 |
| 6,029 |
Optimizing In-memory Database Engine for AI-powered On-line Decision Augmentation Using Persistent Memory |
2021 |
VLDB |
6.061589e-05 |
| 6,337 |
Finding Label and Model Errors in Perception Data With Learned Observation Assertions |
2022 |
SIGMOD |
5.9713243e-05 |
| 6,797 |
Cost-Effective Data Annotation using Game-Based Crowdsourcing |
2019 |
VLDB |
5.8305073e-05 |
| 7,207 |
Witan: Unsupervised Labelling Function Generation for Assisted Data Programming |
2022 |
VLDB |
5.7309223e-05 |
| 7,293 |
Data Integration and Machine Learning: A Natural Synergy |
2018 |
VLDB |
5.7085008e-05 |
| 7,434 |
Cross Modal Data Discovery over Structured and Unstructured Data Lakes |
2023 |
VLDB |
5.6805318e-05 |
| 7,476 |
Nautilus: An Optimized System for Deep Transfer Learning over Evolving Training Datasets |
2022 |
SIGMOD |
5.6710868e-05 |
| 7,741 |
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties |
2021 |
VLDB |
5.6133649e-05 |
| 7,764 |
iFlipper: Label Flipping for Individual Fairness |
2023 |
SIGMOD |
5.607573e-05 |
| 8,108 |
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning |
2023 |
VLDB |
5.543315e-05 |
| 8,371 |
CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling |
2019 |
SIGMOD |
5.4977619e-05 |
| 8,397 |
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming |
2022 |
VLDB |
5.4958075e-05 |
| 8,441 |
UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads |
2022 |
VLDB |
5.4955352e-05 |
| 8,750 |
LANCET: Labeling Complex Data at Scale |
2021 |
VLDB |
5.4363235e-05 |
| 9,149 |
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale |
2022 |
VLDB |
5.3729482e-05 |
| 9,267 |
Improving Information Extraction from Visually Rich Documents using Visual Span Representations |
2021 |
VLDB |
5.3572577e-05 |