A curated list of awesome papers on dataset reduction, including dataset distillation (dataset condensation) and dataset pruning (coreset selection).
☆61Jan 14, 2025Updated last year
Alternatives and similar repositories for Awesome-Dataset-Reduction
Users that are interested in Awesome-Dataset-Reduction are comparing it to the libraries listed below
Sorting:
- [ICLR 2025 Spotlight] Code release for "Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training"☆18Feb 20, 2025Updated last year
- [CVPR 2025] An Implementation of the paper "Pre-Instruction Data Selection for Visual Instruction Tuning"☆17Jun 9, 2025Updated 8 months ago
- Data distillation benchmark☆72Jun 13, 2025Updated 8 months ago
- (NeurIPS 2025 🔥) Official implementation for "Efficient Multi-modal Large Language Models via Progressive Consistency Distillation"☆41Feb 11, 2026Updated 3 weeks ago
- An Easy and Unified Interface for Robots (and Grippers, etc.)☆13Nov 7, 2024Updated last year
- Official PyTorch code for ICLR 2025 paper "Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models"☆24Mar 4, 2025Updated last year
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆15Nov 18, 2023Updated 2 years ago
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆17Feb 27, 2025Updated last year
- Socratic-Zero is a fully autonomous framework that generates high-quality training data for mathematical reasoning☆35Oct 26, 2025Updated 4 months ago
- Pytorch implementation of OCFGAN-GP (CVPR 2020, Oral).☆15Apr 3, 2020Updated 5 years ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Mar 25, 2023Updated 2 years ago
- Official PyTorch implementation of the paper "Dataset Distillation with Neural Characteristic Function: A Minmax Perspective" (NCFM) in C…☆406Dec 20, 2025Updated 2 months ago
- Prioritize Alignment in Dataset Distillation☆21Dec 3, 2024Updated last year
- [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…☆17Mar 16, 2022Updated 3 years ago
- (CVPR 2025) Official implementation to DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation which outperforms SOTA…☆26Aug 23, 2025Updated 6 months ago
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆22Jun 8, 2022Updated 3 years ago
- Official code of "ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning"☆24Sep 25, 2023Updated 2 years ago
- ☆30Nov 5, 2024Updated last year
- ☆29Sep 30, 2025Updated 5 months ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Oct 9, 2024Updated last year
- The dataset repo of "CLCIFAR: CIFAR-Derived Benchmark Datasets with Human Annotated Complementary Labels" paper☆16Aug 8, 2025Updated 6 months ago
- Welcome to the 'In Context Learning Theory' Reading Group☆30Nov 8, 2024Updated last year
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆31Apr 22, 2022Updated 3 years ago
- implementation of our self-guided and self-regularized actor-critic algorithm☆30Jan 1, 2023Updated 3 years ago
- ☆43Oct 13, 2023Updated 2 years ago
- Source code of ACL 2023 accepted paper "AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression"☆12Jun 14, 2023Updated 2 years ago
- This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers…☆98Dec 2, 2024Updated last year
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆39Jul 18, 2025Updated 7 months ago
- (ICLR 2026 🔥) Code for "The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs"☆74Feb 9, 2026Updated 3 weeks ago
- PyTorch implementation of the paper "Discovering and Explaining the Representation Bottleneck of DNNs" (ICLR 2022 Oral)☆37Oct 30, 2024Updated last year
- ADAPTIVE RESONANCE THEORY. Gail A. Carpenter and Stephen Grossberg☆10Feb 10, 2015Updated 11 years ago
- ☆14Aug 12, 2024Updated last year
- pytorch☆10Apr 13, 2022Updated 3 years ago
- ☆41Sep 21, 2023Updated 2 years ago
- 用Kinect2.0读取图像的深度等信息,分割出手部图像。用HOG提取手部图像信息,接着用SVM进行训练。目的是为了识别手势。☆10Jan 8, 2020Updated 6 years ago
- NuART-Py: Python Library of Adaptive Resonance Theory Neural Network☆10Jan 26, 2020Updated 6 years ago
- Official PyTorch Implementation of Federated Learning with Positive and Unlabeled Data☆10Aug 12, 2022Updated 3 years ago
- Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)☆10Dec 1, 2022Updated 3 years ago
- A Caffe/C++ implementation of Deep Deterministic Policy Gradient☆10Feb 1, 2019Updated 7 years ago