coreset-selection

Here are 11 public repositories matching this topic...

EnnengYang / Awesome-Forgetting-in-Deep-Learning

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.

machine-learning reinforcement-learning deep-learning generative-model domain-adaptation meta-learning overfitting machine-unlearning federated-learning continual-learning catastrophic-forgetting self-supervised-learning model-inversion-attacks forgetting membership-inference-attacks coreset-selection data-free-knolwedge-distillation property-inference-attacks model-attacks beneficial-forgetting

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Emory-Melody / awesome-graph-reduction

Star

[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.

machine-learning graph-neural-networks graph-coarsening coreset-selection dataset-distillation

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MacDunno / TinyUSFM

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IEEE JBHI 2026 | TinyUSFM: Towards Compact and Efficient Ultrasound Foundation Models

lightweight distillation foundation-models coreset-selection

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Python

for0nething / RECON

Star

Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning

machine-learning coreset coreset-selection

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Python

EnnengYang / An-Efficient-Dataset-Condensation-Plugin

Star

An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS, 2023.

continual-learning coreset-selection dataset-distillation dataset-condensation

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Python

eltsai / elfs

Star

Code implementation for ICLR 2025 paper: ELFS: Label-Free Coreset Selection with Proxy Training Dynamics

computer-vision pseudo-labeling coreset-selection

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Python

atif-hassan / RCAP-dynamic-dataset-pruning

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DataCull is a modular, light-weight data pruning library containing many dataset pruning (coreset selection) algorithm including the official Implementation of the paper, titled, RCAP: Robust, Class-Aware, Probab ilistic Dynamic Dataset Pruning

machine-learning deep-learning machine-learning-algorithms efficiency deep-learning-algorithms pruning coreset coresets coreset-selection data-pruning

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Python

OnePunchMonk / erasus

Sponsor

Star

Docs: https://erasus.readthedocs.io/en/latest/ Forget data from any foundation model without retraining. Erasus surgically removes concepts, behaviors, or training samples from LLMs, VLMs, and Diffusion models using coreset selection. 90% less compute, certified removal, multimodal support.