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google-research
retvec
Jupyter Notebook2023–2023
google-research / retvec · Archived

retvec

RETVec is an efficient, multilingual, and adversarially-robust text vectorizer.

2Distinct people
2Mentions
0Explicit recommenders
293GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

RETVec is an efficient, multilingual, and adversarially-robust text vectorizer.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by day2 dated mentions

Observed mentions: 2023-12-01 16:56:07 UTC to 2023-12-13 18:33:51 UTC.

012023-12-01 00:00:00 UTC to 2023-12-02 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsDec 12023-12-02 00:00:00 UTC to 2023-12-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-03 00:00:00 UTC to 2023-12-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-04 00:00:00 UTC to 2023-12-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-05 00:00:00 UTC to 2023-12-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-06 00:00:00 UTC to 2023-12-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-07 00:00:00 UTC to 2023-12-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsDec 72023-12-08 00:00:00 UTC to 2023-12-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-09 00:00:00 UTC to 2023-12-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-10 00:00:00 UTC to 2023-12-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-11 00:00:00 UTC to 2023-12-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-12 00:00:00 UTC to 2023-12-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-13 00:00:00 UTC to 2023-12-14 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsDec 13

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Dec 12023-12-01 00:00:00 UTC2023-12-02 00:00:00 UTC110
Dec 22023-12-02 00:00:00 UTC2023-12-03 00:00:00 UTC000
Dec 32023-12-03 00:00:00 UTC2023-12-04 00:00:00 UTC000
Dec 42023-12-04 00:00:00 UTC2023-12-05 00:00:00 UTC000
Dec 52023-12-05 00:00:00 UTC2023-12-06 00:00:00 UTC000
Dec 62023-12-06 00:00:00 UTC2023-12-07 00:00:00 UTC000
Dec 72023-12-07 00:00:00 UTC2023-12-08 00:00:00 UTC000
Dec 82023-12-08 00:00:00 UTC2023-12-09 00:00:00 UTC000
Dec 92023-12-09 00:00:00 UTC2023-12-10 00:00:00 UTC000
Dec 102023-12-10 00:00:00 UTC2023-12-11 00:00:00 UTC000
Dec 112023-12-11 00:00:00 UTC2023-12-12 00:00:00 UTC000
Dec 122023-12-12 00:00:00 UTC2023-12-13 00:00:00 UTC000
Dec 132023-12-13 00:00:00 UTC2023-12-14 00:00:00 UTC110

What Hacker News says

2 sources
ebursztein·Dec 1, 2023Submission

Show HN: RETVec: Resilient and Efficient Text Vectorizer

Happy Friday, Really happy to share that the code and model for RETVec our new SOTA robust text tokenizer for classification is available on Github: https://github.com/google-research/retvec/ and the NeurIPS paper on Arxiv: https://arxiv.org/abs/2302.09207 Beside its compactness and robustness one of the RETVec strong point is that it greatly simplify the creation of on-device models: RETVec work natively on TFlite and can be use in web deployement via a TFJS. We hope you will find it useful for your research and if you would like to give it a try we have a get started notebook here: https://github.com/google-research/retvec/blob/main/notebooks/train_retvec_model_t… Let us know if you have any questions.
3 points · Open discussion

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