-
Hi,thank you for your great work!When I using the model pretrained on scannet without label as you provided to test on s3dis,I found that the results were worse than those found in Table 14 of the sup…
-
Hi Zheng,
Thank you for your fantastic repository! I'm wondering if you could consider including my recent papers:
- [AWT](https://arxiv.org/abs/2407.04603) [Code](https://github.com/MCG-NJU/AWT…
-
### Title
Cross-lingual Contextualized Topic Models with Zero-shot Learning.
### Team Name
TeamTatakae
### Email
202318024@daiict.ac.in
### Team Member 1 Name
Mitul Dudhat
### …
-
## 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…
-
## Question
Hey Quintong, @alexeib, @michaelauli,
Thanks a lot for open-sourcing the model weights of your recent paper [Simple and Effective Zero-shot Cross-lingual Phoneme Recognition](https:/…
-
![image](https://user-images.githubusercontent.com/129525/63389681-d9c9ec80-c3ef-11e9-8297-73fd8162143e.png)
https://arxiv.org/pdf/1908.05832.pdf
silky updated
5 years ago
-
## 一言でいうと
強化学習で、学習の度合いに応じて環境の難易度を調整する研究。ランダム生成では障害物間の構造が失われ難易度が下がり、Adversarialに生成すると攻略不能な環境になることがある。そこで敵対エージェントを用い、獲得報酬の差が大きくなる環境を生成する。
![image](https://user-images.githubusercontent.com/544269/…
-
## ❓ Questions
Hey Quintong, @alexeib, @michaelauli,
Thanks a lot for open-sourcing the model weights of your recent paper [Simple and Effective Zero-shot Cross-lingual Phoneme Recognition](http…
-
### Metadata
Authors: Marek Rei and Anders Søgaard
Organization: University of Cambridge & University of Copenhagen
Conference: NAACL 2018
Paper: https://arxiv.org/pdf/1805.02214.pdf
Code: https:…
-
# CLIP - 논문 리뷰 | solee
안녕하세요:lemon: 이번에 다룰 논문은 CLIP입니다! 논문 전체 이름은 Learning Transferable Visual Models From Natural Language Supervision target으로 GPT와 같이 자연어 분야에서 이뤄지던 대규모 데이터를 사용해 pre-training 후 다양한 …