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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

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Showing 1–50 of 97 papers

TitleStatusHype
PCA-Guided Quantile Sampling: Preserving Data Structure in Large-Scale Subsampling—0
AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges—0
Dynamic data summarization for hierarchical spatial clustering—0
Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights—0
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning FrameworkCode1
Linear Submodular Maximization with Bandit Feedback—0
GIST: Greedy Independent Set Thresholding for Diverse Data Summarization—0
Federated Combinatorial Multi-Agent Multi-Armed Bandits—0
LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces—0
GreedyML: A Parallel Algorithm for Maximizing Constrained Submodular Functions—0
DiffRed: Dimensionality Reduction guided by stable rankCode0
Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach—0
Dynamic Non-monotone Submodular Maximization—0
Dynamic Spatio-Temporal Summarization using Information Based Fusion—0
Robust Approximation Algorithms for Non-monotone k-Submodular Maximization under a Knapsack Constraint—0
Data Summarization beyond Monotonicity: Non-monotone Two-Stage Submodular Maximization—0
Time-to-Pattern: Information-Theoretic Unsupervised Learning for Scalable Time Series SummarizationCode0
On the Usefulness of Synthetic Tabular Data Generation—0
ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short SummariesCode1
Achieving Long-term Fairness in Submodular Maximization through Randomization—0
Group Fairness in Non-monotone Submodular Maximization—0
Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms—0
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart DerenderingCode0
Black-box Coreset Variational InferenceCode0
Balancing Utility and Fairness in Submodular Maximization (Technical Report)Code0
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 Summaries—0
Submodlib: A Submodular Optimization LibraryCode1
Operations for Autonomous Spacecraft—0
NNK-Means: Data summarization using dictionary learning with non-negative kernel regression—0
Towards General Robustness to Bad Training Data—0
Data Summarization via Bilevel Optimization—0
A Unified Framework for Task-Driven Data Quality Management—0
Adaptive Sampling for Fast Constrained Maximization of Submodular Function—0
Synthetic Dataset Generation of Driver TelematicsCode0
Sequential estimation of Spearman rank correlation using Hermite series estimatorsCode1
Introduction to Core-sets: an Updated Survey—0
Very Fast Streaming Submodular Function MaximizationCode1
Semi-supervised Batch Active Learning via Bilevel OptimizationCode1
Deep Submodular Networks for Extractive Data Summarization—0
Fair and Representative Subset Selection from Data StreamsCode0
A Principled Approach to Data Valuation for Federated Learning—0
β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of OutliersCode0
Fast and Private Submodular and k-Submodular Functions Maximization with Matroid Constraints—0
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 Streams—0
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