Data Summarization

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 34 papers with code (97 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Soft-Label Dataset Distillation and Text Dataset Distillation
  6 Oct 2019 3 repositories listed Syntology ran 0 of 13 samples · 13 unverified
  We propose to simultaneously distill both images and their labels, thus assigning each synthetic sample a `soft' label (a distribution of labels).
• Sequential estimation of Spearman rank correlation using Hermite series estimators
  11 Dec 2020 2 repositories listed
  To treat the non-stationary setting, we introduce a novel, exponentially weighted estimator for the Spearman rank correlation, which allows the local nonparametric correlation of a bivariate data stream to be tracked.
• Flexible Dataset Distillation: Learn Labels Instead of Images
  15 Jun 2020 2 repositories listed Syntology ran 12 of 14 samples · 2 unverified
  In particular, we study the problem of label distillation - creating synthetic labels for a small set of real images, and show it to be more effective than the prior image-based approach to dataset distillation.
• Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision
  29 Nov 2018 2 repositories listed
  In our algorithm, at each iteration, the maximum information from the structure of the data is captured by one selected sample, and the captured information is neglected in the next iterations by projection on the…
• Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
  14 Oct 2024 1 repository listed Syntology ran 9 of 10 samples · 1 unverified
  To this end, we argue that there is an essential to propose a Continuous Multi-task Spatio-Temporal learning framework (CMuST) to empower collective urban intelligence, which reforms the urban spatiotemporal learning…
• DiffRed: Dimensionality Reduction guided by stable rank
  9 Mar 2024 1 repository listed
  We rigorously prove that DiffRed achieves a general upper bound of O(√((1-p)/k₂)) on Stress and O((1-p)/(√(k₂*ρ(A^*)))) on M1 where p is the fraction of variance explained by the first k₁ principal components and ρ(A^*)…
• Time-to-Pattern: Information-Theoretic Unsupervised Learning for Scalable Time Series Summarization
  26 Aug 2023 1 repository listed
  Data summarization is the process of generating interpretable and representative subsets from a dataset.
• ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries
  26 Apr 2023 1 repository listed
  Automatic chart to text summarization is an effective tool for the visually impaired people along with providing precise insights of tabular data in natural language to the user.
• MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering
  19 Dec 2022 1 repository listed
  Visual language data such as plots, charts, and infographics are ubiquitous in the human world.
• Black-box Coreset Variational Inference
  4 Nov 2022 1 repository listed
  Recent advances in coreset methods have shown that a selection of representative datapoints can replace massive volumes of data for Bayesian inference, preserving the relevant statistical information and significantly…
• Balancing Utility and Fairness in Submodular Maximization (Technical Report)
  2 Nov 2022 1 repository listed
  Submodular function maximization is a fundamental combinatorial optimization problem with plenty of applications -- including data summarization, influence maximization, and recommendation.
• Streaming Algorithms for Diversity Maximization with Fairness Constraints
  30 Jul 2022 1 repository listed
  Given a set X of n elements, it asks to select a subset S of k ≪n elements with maximum \emph{diversity}, as quantified by the dissimilarities among the elements in S.
• Towards Neural Numeric-To-Text Generation From Temporal Personal Health Data
  11 Jul 2022 1 repository listed
  We examine recurrent, convolutional, and Transformer-based encoder-decoder models to automatically generate natural language summaries from numeric temporal personal health data.
• Group Equality in Adaptive Submodular Maximization
  7 Jul 2022 1 repository listed
  In this paper, we study the classic submodular maximization problem subject to a group equality constraint under both non-adaptive and adaptive settings.
• Submodlib: A Submodular Optimization Library
  22 Feb 2022 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  A recent work has also leveraged submodular functions to propose submodular information measures which have been found to be very useful in solving the problems of guided subset selection and guided summarization.
• Synthetic Dataset Generation of Driver Telematics
  30 Jan 2021 1 repository listed
  This article describes techniques employed in the production of a synthetic dataset of driver telematics emulated from a similar real insurance dataset.
• Very Fast Streaming Submodular Function Maximization
  20 Oct 2020 1 repository listed
  Data summarization has become a valuable tool in understanding even terabytes of data.
• Semi-supervised Batch Active Learning via Bilevel Optimization
  19 Oct 2020 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  Active learning is an effective technique for reducing the labeling cost by improving data efficiency.
• Fair and Representative Subset Selection from Data Streams
  9 Oct 2020 1 repository listed
  We study the problem of extracting a small subset of representative items from a large data stream.
• β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers
  31 Aug 2020 1 repository listed
  Modern machine learning applications should be able to address the intrinsic challenges arising over inference on massive real-world datasets, including scalability and robustness to outliers.
• Understanding collections of related datasets using dependent MMD coresets
  24 Jun 2020 1 repository listed
  Understanding how two datasets differ can help us determine whether one dataset under-represents certain sub-populations, and provides insights into how well models will generalize across datasets.
• Deuteros 2.0: Peptide-level significance testing of data from hydrogen deuterium exchange mass spectrometry
  17 May 2020 1 repository listed
  There are currently very few software packages available that offer quick and informative comparison of HDX-MS datasets and even few-er which offer statistical analysis and advanced visualization.
• CO-Optimal Transport
  10 Feb 2020 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  Optimal transport (OT) is a powerful geometric and probabilistic tool for finding correspondences and measuring similarity between two distributions.
• Streaming Submodular Maximization under a k-Set System Constraint
  9 Feb 2020 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  In this paper, we propose a novel framework that converts streaming algorithms for monotone submodular maximization into streaming algorithms for non-monotone submodular maximization.
• Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?
  17 Nov 2019 1 repository listed
  Quantifying the importance of each training point to a learning task is a fundamental problem in machine learning and the estimated importance scores have been leveraged to guide a range of data workflows such as data…
• Fast and Accurate Least-Mean-Squares Solvers
  11 Jun 2019 1 repository listed
  Least-mean squares (LMS) solvers such as Linear / Ridge / Lasso-Regression, SVD and Elastic-Net not only solve fundamental machine learning problems, but are also the building blocks in a variety of other methods, such…
• apricot: Submodular selection for data summarization in Python
  8 Jun 2019 1 repository listed Syntology ran 0 of 11 samples · 11 unverified
  This paper presents an explanation of submodular selection, an overview of the features in apricot, and an application to several data sets.
• Fair k-Center Clustering for Data Summarization
  24 Jan 2019 1 repository listed
  In data summarization we want to choose k prototypes in order to summarize a data set.
• Coverage-Based Designs Improve Sample Mining and Hyper-Parameter Optimization
  5 Sep 2018 1 repository listed
  Sampling one or more effective solutions from large search spaces is a recurring idea in machine learning, and sequential optimization has become a popular solution.
• A Mixed Hierarchical Attention based Encoder-Decoder Approach for Standard Table Summarization
  20 Apr 2018 1 repository listed
  Structured data summarization involves generation of natural language summaries from structured input data.

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.