[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
active 2023-08-29 → 2026-06-27 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1034 days from 2023-08-29 to 2026-06-27. Pushes: 25 total, peak 5 in a day. Pull requests: 5 total, peak 3 in a day. Issues: 19 total, peak 3 in a day. Comments: 24 total, peak 3 in a day. Stars: 64 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| ljcc0930 | 30 | 20 | 5 | 3 |
| jinghanjia | 23 | 5 | 0 | 12 |
| Ldoun | 7 | 0 | 0 | 5 |
| Davidjinzb | 4 | 0 | 0 | 3 |
| yasserkhalil93 | 2 | 0 | 0 | 0 |
| smallwangzi | 2 | 0 | 0 | 1 |
| marsplus | 1 | 0 | 0 | 0 |
| MrLinNing | 1 | 0 | 0 | 0 |
| amberyzheng | 1 | 0 | 0 | 0 |
| meng-ding | 1 | 0 | 0 | 0 |
| rohan1561 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#17ljcc09302026-06-14 03:22
- Pull request#15ljcc09302026-06-14 03:03
- Pull request#14ljcc09302026-06-14 02:27
- Issue#13amberyzheng2025-05-06 04:46Code to generate mask before unlearning
- Issue#12yasserkhalil932024-12-19 14:58SwinT
- Issue#11jinghanjia2024-12-01 14:44MIA-Efficiency
- Issue comment#10jinghanjia2024-11-16 16:11Regarding Class-wise forgetting
- Issue#10jinghanjia2024-11-16 16:11Regarding Class-wise forgetting
- Issue comment#11jinghanjia2024-11-16 16:07MIA-Efficiency
- Issue#11yasserkhalil932024-11-16 14:10MIA-Efficiency
- Issue#10smallwangzi2024-10-12 08:20Regarding Class-wise forgetting
- Issue comment#8smallwangzi2024-09-21 11:41Reproducing the result of cifar100
- Issue#9jinghanjia2024-06-26 19:19Question about the standard deviation over 10 independent trials
- Issue comment#9ljcc09302024-06-16 23:26Question about the standard deviation over 10 independent trials
- Issue#9meng-ding2024-06-12 19:55Question about the standard deviation over 10 independent trials
- Issue comment#5ljcc09302024-05-13 18:36Challenges in Replicating Model Pruning and Unlearning Results
- Issue#5ljcc09302024-05-13 18:36Challenges in Replicating Model Pruning and Unlearning Results
- Issue comment#8Ldoun2024-02-02 09:45Reproducing the result of cifar100
- Issue comment#8jinghanjia2024-01-30 03:26Reproducing the result of cifar100
- Issue comment#8Ldoun2024-01-25 07:10Reproducing the result of cifar100
- Issue comment#8Ldoun2024-01-24 06:02Reproducing the result of cifar100
- Issue comment#8jinghanjia2024-01-23 18:49Reproducing the result of cifar100
- Pull request#7ljcc09302024-01-16 23:05
- Pull request#7ljcc09302024-01-16 23:04
- Issue comment#6jinghanjia2024-01-11 17:20Mistake in code?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 64 stars here means stars gained during the window, not the repo's star count.