[NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu
☆89Jun 28, 2026Updated last month
Alternatives and similar repositories for Unlearn-Sparse
Users that are interested in Unlearn-Sparse are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆14Oct 12, 2023Updated 2 years ago
- [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…☆150Feb 28, 2026Updated 5 months ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆28May 27, 2025Updated last year
- [NeurIPS'24] What makes unlearning hard and what to do about it☆23May 24, 2025Updated last year
- ☆62Jun 17, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [AAAI, ICLR TP] Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening☆63Sep 11, 2024Updated last year
- Awesome Machine Unlearning (A Survey of Machine Unlearning)☆965Jul 6, 2026Updated last month
- Camouflage poisoning via machine unlearning☆19Jul 3, 2025Updated last year
- Existing Literature about Machine Unlearning☆967Aug 29, 2025Updated 11 months ago
- ☆57Aug 17, 2024Updated last year
- ☆202Sep 22, 2023Updated 2 years ago
- Official repo for NeurIPS'24 paper "WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models"☆19Dec 16, 2024Updated last year
- ☆16Sep 8, 2021Updated 4 years ago
- One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (ICLR 2023 Spotlight)☆14Sep 28, 2025Updated 10 months ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- [NeurIPS 2024 D&B Track] UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Cho…☆88Nov 11, 2024Updated last year
- [NeurIPS25] Official repo for "Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning"☆46Oct 3, 2025Updated 10 months ago
- ☆39Nov 24, 2021Updated 4 years ago
- ☆31Oct 7, 2021Updated 4 years ago
- Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"☆30Oct 1, 2024Updated last year
- Certified Removal from Machine Learning Models☆70Aug 23, 2021Updated 4 years ago
- Official repository for Targeted Unlearning with Single Layer Unlearning Gradient (SLUG), ICML 2025☆18Aug 10, 2025Updated 11 months ago
- Pytorch implementation of backdoor unlearning.☆21Jun 8, 2022Updated 4 years ago
- A curated list of trustworthy deep learning papers. Continually updating...☆388Jul 20, 2026Updated 2 weeks ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆52May 20, 2022Updated 4 years ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆177Jul 5, 2024Updated 2 years ago
- Attempt at reproducing the metric from Neurips 2023 Unlearning Challenge on Kaggle. Code for training checkpoints on retain set and unlea…☆12Nov 8, 2023Updated 2 years ago
- ☆13Updated this week
- LLM Unlearning☆188Oct 20, 2023Updated 2 years ago
- Official Code of Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers (AAAI 2024)☆20Oct 27, 2024Updated last year
- Official codes for GRA (Accepted by ICCV2023)☆17Jul 18, 2023Updated 3 years ago
- Code for the paper 'An Information Theoretic Approach to Machine Unlearning'☆24Mar 20, 2025Updated last year
- Code related to the paper "Machine Unlearning of Features and Labels"☆71Feb 13, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆14Jun 5, 2020Updated 6 years ago
- A pytorch implementation of "Ensemble Adversarial Training : Attacks and Defenses"☆10Sep 4, 2019Updated 6 years ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆52Sep 17, 2023Updated 2 years ago
- This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearni…☆21Apr 3, 2024Updated 2 years ago
- Official repo of the paper Zero-Shot Machine Unlearning accepted in IEEE Transactions on Information Forensics and Security☆52May 19, 2023Updated 3 years ago
- ☆28Dec 18, 2025Updated 7 months ago
- A resource repository for machine unlearning in large language models☆618Updated this week