Coreset Selection

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5 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. Label-Free Coreset Selection with Foundation Models for Efficient Annotation in Computational Pathology

    Oct 5, 2026Tuo Yin, Jennifer DhontComputational PathologyCoreset Selection

    Department of Medical Physics, Institut Jules Bordet, Hˆpital Universitaire de Bruxelles (HUB), Belgium · Radiophysics and MRI Physics Laboratory, Universit´e Libre de Bruxelles (ULB), Belgium · Laboratory of Image Synthesis and Analysis (LISA), Universit´e Libre de Bruxelles (ULB), Belgium

  2. Streaming algorithms for robust max-min diversification

    Oct 1, 2026Andrea Pietracaprina, Geppino Pucci, Stefano ZanonCoreset SelectionApproximation Algorithms

    Department of Information Engineering, University of Padova, Italy

  3. Low-Budget Active Learning through Entropic Optimal Transport

    Oct 1, 2026Rim Hajal, Mathieu Besançon, Jérôme MalickActive LearningCoreset Selection

    Univ. Grenoble Alpes, CNRS, Inria, LIG, LJK · Univ. Grenoble Alpes, Inria, CNRS, LIG · Univ. Grenoble Alpes, CNRS, LJK

  4. CRISP: Scalable Importance-Stratified Coresets for Imbalanced Tabular Learning

    Sep 22, 2026Hardhik Mohanty, Indrayana Rustandi, Mohamadreza SheibaniClass-Imbalanced LearningTraining Data Selection

    University of Southern California Los Angeles, California, USA · Coinbase San Francisco, California, USA

  5. Structure Before Sampling: Community-Aware Core-Set Selection for Data-Efficient Text-to-Speech

    Sep 21, 2026Mizbaul Haque Maruf, Muhammad Nur YanhaonaTTS SynthesisCoreset Selection

    Department of Computer Science and Engineering Brac University, Dhaka, Bangladesh

  6. Are Coreset Selection Methods Worth Their Cost?

    Sep 19, 2026Yangze Liu, Zhongyi HanBenchmark DesignTraining Data Selection

    Shandong University

  7. Exact Recovery Thresholds for Weighted Data Selection in Vector-Valued Linear Regression

    Aug 31, 2026Guangjian ZhangData SelectionTraining Data Selection

  8. LIBAD: A Multimodal Anomaly Detection Benchmark for Li-Ion Battery Electrode Manufacturing

    Aug 8, 2026Wenbo Sui, Daniel Lichau, Harold Phelippeau +1Industrial Anomaly DetectionMultimodal Anomaly Detection

    Thermo Fisher Scientific, 39 Rue d’Armagnac, Bordeaux, 33800, France · DTU Energy, Technical University of Denmark, Fysikvej 310, Kgs. Lyngby, 2800, Denmark · Thermo Fisher Scientific, 5350 NE Dawson Creek Dr, Hillsboro, OR 97124, USA

  9. Messages, Not Tokens: Grounded Coresets for Faithful VLM Compression

    Aug 3, 2026Long Qian, Jiaqi Wei, Bingke Zhu +2Efficient VLM InferenceCoreset Selection

    Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China · School of Engineering, Cardiff University, Cardiff, United Kingdom · School of Future Technology, University of Chinese Academy of Sciences, Beijing, China +1

  10. GLOBE: Trajectory-Aligned Gradient Matching with Structured SparseOptimization for Coreset Selection

    Aug 3, 2026Hetian Liu, Jin Cui, Mengcheng Shi +4Training Data SelectionCoreset Selection

    State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, and Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University · School of Software Engineering, Xi’an Jiaotong University · School of Computer Science and Technology, Xi’an Jiaotong University

  11. First-order Constrained Trilevel Optimization Over Distributed Networks for Robust Coreset Selection

    Jul 30, 2026Yang Jiao, Kaixuan Jiao, Kai Yang +4Distributed OptimizationRobust Optimization

    Richard · Southeast University · Anhui University +3

  12. BayesAME: Bayesian Active Model Evaluation

    Jul 29, 2026Paula Cordero Encinar, Taylan Cemgil, Arnaud Doucet +2LLM EvaluationAdaptive Sampling

    Imperial College London (work conducted while at Google DeepMind) · Google DeepMind

  13. Anti-Backdoor Coreset Selection via Cumulative Entropy

    Jul 28, 2026Qi Zhao, Christian WressneggerNeural Network RobustnessTraining Data Selection

    KASTEL Security Research Labs, Karlsruhe Institute of Technology (KIT)

  14. Making Single-Cell Data Distillation Auditable: Traceable Real-Cell Coresets via Discrete Min--Max Selection

    Jul 20, 2026Yaodi Luo, Peize He, Lingbei Meng +4Dataset DistillationCoreset Selection

    The Chinese University of Hong Kong, Shenzhen · Shenzhen Loop Area Institute, Shenzhen · Shenzhen Research Institute of Big Data, Shenzhen, China

  15. Terminal Dimension Reduction for Time Series with Applications

    Jul 10, 2026Alexander Munteanu, Matteo Russo, David Saulpic +1Coreset SelectionDimensionality Reduction

    TU Dortmund, Germany · EPFL, Switzerland · CNRS & Université Paris Cité, IRIF, Paris, France +1

  16. A Coreset Selection Framework with Ensemble Aggregation for Image Classification

    Jul 10, 2026Pedro Rocha Dantas, Lucas Pascotti ValemTraining Data SelectionCoreset Selection

    Institute of Mathematics and Computer Science (ICMC) University of S˜ao Paulo (USP) S˜ao Carlos – SP – Brazil

  17. Few-Medoids: An Embarrassingly Simple Coreset Selection Method for Few-Shot Knowledge Distillation

    Jul 7, 2026Cemil-Andrei Dilmac, Florinel-Alin Croitoru, Radu Tudor IonescuTraining Data SelectionCoreset Selection

    Department of Computer Science, University of Bucharest, 15G Iuliu Maniu, Bucharest 061075, Romania

  18. Sensitivity Sampling with Predictions for k-Means Clustering

    Jul 6, 2026Cristian Boldrin, Fabio VandinClusteringImportance Sampling

    University of Padova, Padova, Italy

  19. Provable Pruning for Efficient 3D Gaussian Splatting via Coresets

    Jul 2, 2026Waseem Mousa, Alaa Maalouf3DGS Compression3D Gaussian Splatting

    Department of Computer Science, University of Haifa

  20. Coresets Before Score Sets: Evaluation-Unsupervised Prompt Subset Selection for LLM Benchmarks

    Jul 2, 2026Jihan Yao, Gantavya Bhatt, Arnav Das +16Submodular OptimizationLLM Evaluation

    University of Washington, Seattle · 6NVIDIA · 5LMSYS +3

  21. Group-invariant Coresets for Data-efficient Active Learning

    Jul 1, 2026L. C. Ayres, J. C. M. Bermudez, S. J. M. de Almeida +1Active LearningCoreset Selection

    Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil · Universidade Católica de Pelotas, Pelotas, RS, Brazil · Université de Lorraine, CNRS, CRAN, Vandoeuvre-lès-Nancy, France

  22. Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets?

    Jun 16, 2026Trisha Mittal, Akshay Mehra, Joshua KimballTraining Data SelectionDataset Distillation

    1Dolby Laboratory

  23. Active Learning with Low-Rank Structure for Data Selection

    Jun 14, 2026Vincent Cohen-Addad, Sasidhar Kunapuli, Vahab Mirrokni +3Active LearningData Selection

    Google Research. · University of California, Berkeley. · Institute of Science and Technology Austria (ISTA). +2

  24. Data-efficient flood depth prediction through domain-aware coreset selection and tabular foundation models

    Jun 3, 2026Lipai Huang, Adithi Srinath, Manas Singh +2Surrogate ModelingOOD Generalization

    Urban Resilience.AI Lab, Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX, USA · Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA · Resilitix Intelligence LLC, Houston, TX, USA +1

  25. XSSR: Cross-Domain Self-Supervised Representative Selection for Efficient Annotation in Medical Image Segmentation

    Jun 3, 2026Byunghyun Ko, Aleksei Anisimov, Kobe Ke +2Medical Image SegmentationCoreset Selection

    Northeastern University, San Jose, CA 95113, USA · Northeastern University, New York, NY 10021, USA

  26. Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing

    Jun 1, 2026Arda Fazla, Abolfazl HashemiDebiased MLTraining Data Selection

    School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.

  27. MADS: Model-Aware Diverse Core Set Selection for Instruction Tuning

    May 29, 2026Yi Bai, Wenhao Zhang, Yao Chen +3Instruction-Tuning Data SelectionTraining Data Selection

    Shandong University, Qingdao, China · Inspurcloud, Jinan, China

  28. MAGIC: Multimodal Alignment & Grounding-aware Instruction Coreset for Vision-Language Models

    May 25, 2026Shristi Das Biswas, Kaushik RoyVision-Language ModelsCoreset Selection

    Purdue University

  29. Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling

    May 22, 2026Yeseul Cho, Baekrok Shin, Changmin Kang +1Dataset PruningCoreset Selection

    Kim Jaechul Graduate School of AI, KAIST

  30. Geometry-Aware Uncertainty Coresets for Robust Visual In-Context Learning in Histopathology

    May 18, 2026Franciskus Xaverius Erick, Johanna Paula Müller, Bernhard KainzVLM RobustnessIn-Context Learning

    FAU Erlangen-Nürnberg, Erlangen, DE · Department of Computing, Imperial College London, London, UK