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1. InfoMax InfoMax Public

   [ICLR-2024] The PyTorch Implementation of InfoMax. The algorithms are based on our paper: "Data pruning by information maximization".

   Python 13

2. MoSo MoSo Public

   [NeurIPS-2023] The PyTorch Implementation of MoSo. The algorithms are based on our paper: "Data Pruning via Moving-one-Sample-out". MoSo is a influence-based data selection method.

   Python 10 1

3. fastmix fastmix Public

   [ICLR-2026] The PyTorch Implementation of FastMix. The algorithms are based on our paper: "Fast Data Mixture Optimization via Gradient Descent". FastMix is designed to rapidly identify optimal data…

   Python 5

4. Diff-In Diff-In Public

   [TPAMI] This repository implements Diff-In, the data-influence estimator proposed in "Understanding Data Influence with Differential Approximation". Diff-In approximates the influence of a single t…

   Python

5. infmatch infmatch Public

   [CVPR-2026] The PyTorch Implementation of InfMatch. The algorithms are based on our paper: "Dataset Distillation by Influence Matching". We propose a novel framework for dataset distillation based …

   Python

6. RFT-INF RFT-INF Public

   [NeurIPS-2026] The PyTorch Implementation of DIEM. The algorithms are based on our paper: "Understanding Data Influence in Reinforcement Finetuning". To the best of our knowledge, this is the first…

   Python 1