SOTAVerified

Data Summarization

Data Summarization is a central problem in the area of machine learning, where we want to compute a small summary of the data.

Source: How to Solve Fair k-Center in Massive Data Models

Papers

Showing 2650 of 97 papers

TitleStatusHype
Streaming Algorithms for Diversity Maximization with Fairness ConstraintsCode0
Towards Neural Numeric-To-Text Generation From Temporal Personal Health DataCode0
Group Equality in Adaptive Submodular MaximizationCode0
Guided Exploration of Data Summaries0
Submodlib: A Submodular Optimization LibraryCode1
Operations for Autonomous Spacecraft0
NNK-Means: Data summarization using dictionary learning with non-negative kernel regression0
Towards General Robustness to Bad Training Data0
Data Summarization via Bilevel Optimization0
A Unified Framework for Task-Driven Data Quality Management0
Adaptive Sampling for Fast Constrained Maximization of Submodular Function0
Synthetic Dataset Generation of Driver TelematicsCode0
Sequential estimation of Spearman rank correlation using Hermite series estimatorsCode1
Introduction to Core-sets: an Updated Survey0
Very Fast Streaming Submodular Function MaximizationCode1
Semi-supervised Batch Active Learning via Bilevel OptimizationCode1
Deep Submodular Networks for Extractive Data Summarization0
Fair and Representative Subset Selection from Data StreamsCode0
A Principled Approach to Data Valuation for Federated Learning0
β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of OutliersCode0
Fast and Private Submodular and k-Submodular Functions Maximization with Matroid Constraints0
Understanding collections of related datasets using dependent MMD coresetsCode0
Flexible Dataset Distillation: Learn Labels Instead of ImagesCode1
Deuteros 2.0: Peptide-level significance testing of data from hydrogen deuterium exchange mass spectrometryCode0
Non-Adaptive Adaptive Sampling on Turnstile Streams0
Show:102550
← PrevPage 2 of 4Next →

No leaderboard results yet.