Awesome Machine Unlearning (A Survey of Machine Unlearning)

[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu

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

[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

An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024

[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"

An application helps you remember things before you leave your room by using iBeacons.

This is repository contains code for experiment to evaluate catastrophic forgetting in neural networks.

Code to reproduce experiments from the paper "Continual Pre-Training Mitigates Forgetting in Language and Vision" https://arxiv.org/abs/2205.09357

Continual Forgetting for Pre-trained Vision Models (CVPR 2024)

An attempt to make a model forget what it has learnt

[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"

Deletes old tweets, archiving them as json to Dropbox.

[ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, Sijia Liu

Personal portfolio- https://shrutijindal674.github.io/

Python3 based script that reminds you of a particular time on a particular day.

This repository is an implementation of Paper "Robust Natural Language Inference Models with Example Forgetting", which studies importance of forgettable example in making robust NLI Models