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域适应的文章,少样本的,现在再看,不知道代码现在能不能进行[ACL 2023] PyTorch Implementation of MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning

active 2023-08-222025-11-03 (UTC)

Partial coverage20,537 / 26,293 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-14 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
28
Pushes
0
Pull requests
0
Issues
6
Stars
12
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 805 days from 2023-08-22 to 2025-11-03. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 6 total, peak 2 in a day. Comments: 8 total, peak 2 in a day. Stars: 12 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

ContributorContributionsPushesPRsComments
Yueeeeeeee8005
SinyWu06153002
zoeChen1192001
DimPenCHEN1000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#4Yueeeeeeee2024-01-04 05:32
    No such file or directory: './data/FakeNewsNet/fakenewsnet_dataset/gossipcop_0.1_0.2_split.json'
  • Issue#4Yueeeeeeee2024-01-04 05:32
    No such file or directory: './data/FakeNewsNet/fakenewsnet_dataset/gossipcop_0.1_0.2_split.json'
  • Issue#4DimPenCHEN2024-01-03 13:48
    No such file or directory: './data/FakeNewsNet/fakenewsnet_dataset/gossipcop_0.1_0.2_split.json'
  • Issue comment#3Yueeeeeeee2023-11-07 06:13
    关于论文,我想问在定义损失函数的时候,为什么是参数θ和少样本集去做交叉熵?据我所知这两个并不是同类数据。
  • Issue comment#3SinyWu06152023-11-05 06:59
    关于论文,我想问在定义损失函数的时候,为什么是参数θ和少样本集去做交叉熵?据我所知这两个并不是同类数据。
  • Issue comment#3SinyWu06152023-11-03 18:47
    关于论文,我想问在定义损失函数的时候,为什么是参数θ和少样本集去做交叉熵?据我所知这两个并不是同类数据。
  • Issue#3Yueeeeeeee2023-11-03 18:46
    关于论文,我想问在定义损失函数的时候,为什么是参数θ和少样本集去做交叉熵?据我所知这两个并不是同类数据。
  • Issue comment#3Yueeeeeeee2023-11-03 18:46
    关于论文,我想问在定义损失函数的时候,为什么是参数θ和少样本集去做交叉熵?据我所知这两个并不是同类数据。
  • Issue#3SinyWu06152023-11-03 07:25
    关于论文,我想问在定义损失函数的时候,为什么是参数θ和少样本集去做交叉熵?据我所知这两个并不是同类数据。
  • Issue comment#2Yueeeeeeee2023-09-01 19:17
    复现FEVER-->AntiVax ba=0.51524
  • Issue comment#2zoeChen1192023-09-01 01:11
    复现FEVER-->AntiVax ba=0.51524
  • Issue#2Yueeeeeeee2023-08-31 17:39
    复现FEVER-->AntiVax ba=0.51524
  • Issue comment#2Yueeeeeeee2023-08-31 16:30
    复现FEVER-->AntiVax ba=0.51524
  • Issue#2zoeChen1192023-08-31 09:21
    复现FEVER-->AntiVax ba=0.51524

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 12 stars here means stars gained during the window, not the repo's star count.