- DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning (arXiv 2022) PDF
- Introduction to Core-sets: an Updated Survey (arXiv 2020) PDF
- Coresets-methods and history: A theoreticians design pattern for approximation and streaming algorithms (KI-Künstliche Intelligenz 2018) PDF
- Coresets and sketches (arXiv 2016) PDF
- Face-NMS: A Core-set Selection Approach for Efficient Face Recognition (arXiv 2021) PDF
- Learning Fast Sample Re-weighting Without Reward Data (arXiv 2021) PDF Code
- Submodular Mutual Information for Targeted Data Subset Selection(arXiv 2021) PDF
- PRISM: A Unified Framework of Parameterized Submodular Information Measures for Targeted Data Subset Selection and Summarization(arXiv 2021) PDF
- Dataset Condensation with Differentiable Siamese Augmentation(ICML 2021) PDF
- Coresets for Classification -- Simplified and Strengthened(arXiv 2021) PDF
- GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training(ICML 2021) PDF Code
- GLISTER: Generalization Based Data Subset Selection for Efficient and Robust Learning(AAAI 2021) PDF Code
- SVP-CF: Selection via Proxy for Collaborative Filtering Data(arXiv 2021) PDF
- Dataset Condensation with Gradient Matching(ICLR 2021) PDF
- Deep Learning on a Data Diet: Finding Important Examples Early in Training(arXiv 2021) PDF
- A Novel Sequential Coreset Method for Gradient Descent Algorithms(ICML 2021) PDF
- Stochastic Subset Selection for Efficient Training and Inference of Neural Networks(ICLR 2021) PDF
- Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms(arXiv 2020) PDF Code
- Coresets for Data-efficient Training of Machine Learning Models(ICML 2020) PDF Code
- Selection via Proxy: Efficient Data Selection for Deep Learning (ICLR 2020) PDF Code
- Teaching a black-box learner(ICML 2019) PDF
- An Empirical Study of Example Forgetting during Deep Neural Network Learning(ICLR 2019) PDF Code
- Learning and Data Selection in Big Datasets(ICML 2019) PDF
- Preventing Adversarial Use of Datasets through Fair Core-Set Construction(arXiv 2019) PDF
- Subset Selection and Summarization in Sequential Data (NeurIPS 2017) PDF
- New Frameworks for Offline and Streaming Coreset Constructions (arXiv 2016) PDF
- Coresets for k-Segmentation of Streaming Data (NeurIPS 2014) PDF
- Online Coreset Selection for Rehearsal-based Continual Learning(arXiv 2021) PDF
- Optimal Continual Learning has Perfect Memory and is NP-HARD(ICML 2020) PDF
- Coresets via Bilevel Optimization for Continual Learning and Streaming(NeurIPS 2020) PDF Code
- Active Learning is a Strong Baseline for Data Subset SelectionDownload PDF (NeurIPS 2022 Workshop) PDF Code
- Active Learning by Acquiring Contrastive Examples (arXiv 2021) PDF Code
- SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios(arXiv 2021) PDF
- Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision(WACV 2019) PDF
- Bayesian Batch Active Learning as Sparse Subset Approximation(NeurIPS 2019) PDF Code
- Active Learning for Convolutional Neural Networks: A Core-Set Approach (ICLR 2018) PDF Code
- Adversarial Active Learning for Deep Networks: a Margin Based Approach(arXiv 2018) PDF
- Non-Uniform Subset Selection for Active Learning in Structured Data(CVPR 2017) PDF
- Submodularity in Data Subset Selection and Active Learning(ICML 2015) PDF
- Core-set Sampling for Efficient Neural Architecture Search (arXiv 2021) PDF
- Coresets for constrained k-median and k-means clustering in low dimensional Euclidean space (arXiv 2021) PDF
- Online Coresets for Clustering with Bregman Divergences(arXiv 2020) PDF
- Coresets for Clustering in Graphs of Bounded Treewidth(ICML 2020) PDF
- Coresets for Clustering with Fairness Constraints (NeurlPS 2019) PDF Code
- Coresets for Ordered Weighted Clustering (ICML 2019) PDF 2018
- Strong Coresets for k-Median and Subspace Approximation: Goodbye Dimension(Annual IEEE Symposium on Foundations of Computer Science 2018) PDF
- Coresets for Nonparametric Estimation - the Case of DP-Means(ICML 2015) PDF
- Distributed Balanced Clustering via Mapping Coresets (NeurlPS 2014) PDF
- Scalable Training of Mixture Models via Coresets(NeurIPS 2011) PDF
- Semi-supervised Batch Active Learning via Bilevel Optimization(ICASSP 2021) PDF Code
- RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning(NeurIPS 2021) PDF
- Extending Contrastive Learning to Unsupervised Coreset Selection(arXiv 2021) PDF
- Are all negatives created equal in contrastive instance discrimination? (arXiv 2020) PDF
- Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy (NeurIPS 2023) PDF
- Active label cleaning: Improving dataset quality under resource constraints (arXiv 2021) PDF
- Just Train Twice: Improving Group Robustness without Training Group Information(ICML 2021) PDF Code
- Small-GAN: Speeding up GAN Training using Core-Sets(ICML 2020) PDF
- Training Data Subset Selection for Regression with Controlled Generalization Error(ICML 2021) PDF Code
- Coresets for Near-Convex Functions(NeurIPS 2020) PDF
- On Coresets for Regularized Regression(ICML 2020) PDF Code
- Coresets for Regressions with Panel Data(NeurIPS 2020) PDF Code
- Fast Parallel Algorithms for Statistical Subset Selection Problems(NeurIPS 2019) PDF
- On Coresets for Logistic Regression(NeurIPS 2018) PDF
- Coresets for Scalable Bayesian Logistic Regression (NeurlPS 2016) PDF
- SubSetML: Subset Selection in Machine Learning: From Theory to Practice (Workshop @ ICML 2021) Site