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Data Summarization
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Data Summarization is a central problem in the area of machine learning, where we want to compute a small summary of the data.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges
Dynamic data summarization for hierarchical spatial clustering
Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
Linear Submodular Maximization with Bandit Feedback
GIST: Greedy Independent Set Thresholding for Diverse Data Summarization
Federated Combinatorial Multi-Agent Multi-Armed Bandits
LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces
GreedyML: A Parallel Algorithm for Maximizing Constrained Submodular Functions
DiffRed: Dimensionality Reduction guided by stable rank
Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach
Dynamic Non-monotone Submodular Maximization
Dynamic Spatio-Temporal Summarization using Information Based Fusion
Robust Approximation Algorithms for Non-monotone $k$-Submodular Maximization under a Knapsack Constraint
Data Summarization beyond Monotonicity: Non-monotone Two-Stage Submodular Maximization
Time-to-Pattern: Information-Theoretic Unsupervised Learning for Scalable Time Series Summarization
On the Usefulness of Synthetic Tabular Data Generation
ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries
Achieving Long-term Fairness in Submodular Maximization through Randomization
Group Fairness in Non-monotone Submodular Maximization
Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering
Black-box Coreset Variational Inference
Balancing Utility and Fairness in Submodular Maximization (Technical Report)
Streaming Algorithms for Diversity Maximization with Fairness Constraints
Towards Neural Numeric-To-Text Generation From Temporal Personal Health Data
Group Equality in Adaptive Submodular Maximization
Guided Exploration of Data Summaries
Submodlib: A Submodular Optimization Library
Operations for Autonomous Spacecraft
NNK-Means: Data summarization using dictionary learning with non-negative kernel regression
Data Summarization via Bilevel Optimization
A Unified Framework for Task-Driven Data Quality Management
Adaptive Sampling for Fast Constrained Maximization of Submodular Function
Synthetic Dataset Generation of Driver Telematics
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