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> one-shot learning以及zero shot learning都属于迁移学习领域,主要研究的是网络少样本精准分类问题
# Reference
- [ ] [机器人学习最前沿:一眼模仿学习(One-Shot Imitation Learning)的三级跳](https://zhuanlan.zhihu.com/p/33789604)
- [ ] [One-shot Lear…
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Hi,
Thank you for the great work!
Given the current prevalence of Large Language Models (LLMs), are there any plans to include more LLM-based approaches in performance evaluations, especially fo…
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Story: #36
### Description
We aim to have more in depth documentation detailing few-shot and zero-shot NER
#### ACs:
Research should provide a detailed and accurate description and answer at …
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I tried replicating results for zero-shot learning on CLS, but my results don't match those from the paper. Since the script for predicting labels with LASER seems not be a part of Multifit repository…
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In UniTS_zeroshot_newdata.sh,we found that we need to pre-train before we could test zero-shot. Is there a pre-trained model on this for direct testing?
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## 0. 論文
[Zero-Shot Transfer Learning for Event Extraction](https://arxiv.org/abs/1707.01066v1)
Lifu Huang, Heng Ji, Kyunghyun Cho, Clare R. Voss
## 1. どんなもの?
文章中のevent(単語によって引き起こされる事象)について、学習で使…
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![image](https://user-images.githubusercontent.com/129525/63389681-d9c9ec80-c3ef-11e9-8297-73fd8162143e.png)
https://arxiv.org/pdf/1908.05832.pdf
silky updated
4 years ago
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訓練データに含まれないラベルに対しても、テストデータを振り分けられるようにするGeneralized Zero-Shot Learningタスクのサーベイ論文
https://arxiv.org/abs/2011.08641
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# Zero-Shot Learning in Modern NLP | Joe Davison Blog
State-of-the-art NLP models for text classification without annotated data
[https://joeddav.github.io/blog/2020/05/29/ZSL.html](https://joeddav.…
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## Abstract
- Zero-shot anomaly detection(ZSAD)은 target dataset에 대한 training sample 없이 auxiliary data을 사용해서 학습된 모델을 필요로 한다.
- ZSAD는 학습 데이터가 충분치 못한 상황에서 중요하지만, 모델이 다양한 도메인에서의 anomalies에 generalize되는 …
sy00n updated
7 months ago