์ผ | ์ | ํ | ์ | ๋ชฉ | ๊ธ | ํ |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
6 | 7 | 8 | 9 | 10 | 11 | 12 |
13 | 14 | 15 | 16 | 17 | 18 | 19 |
20 | 21 | 22 | 23 | 24 | 25 | 26 |
27 | 28 | 29 | 30 |
Tags
- ์ ๋ณด์ฒ๋ฆฌ๊ธฐ์ฌ์ ๊ณต์
- ๊ฒ์์์ง
- How Much Knowledge Can You Pack Into the Parameters of a Language Model?
- 2020์ ๋ณด์ฒ๋ฆฌ๊ธฐ์ฌํ๊ธฐ
- ํ์ด์ฌ์ ํ์ด์ฌ๋ต๊ฒ
- classification text
- ์ ๋ณด์ฒ๋ฆฌ๊ธฐ์ฌ ์์ ๋น
- SUMBT:Slot-Utterance Matching for Universal and Scalable Belief Tracking
- ํ๋ก๊ทธ๋๋จธ์ค
- DST zeroshot learning
- ๋ชจ๋์๋ฅ๋ฌ๋
- ๋ฐฑ์ค
- dialogue state tracking
- Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking
- Few Shot Dialogue State Tracking using Meta-learning
- Python
- few shot dst
- fasttext text classification ํ๊ธ
- From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap
- ๋ฅ๋ฌ๋๊ธฐ์ด
- MySQL
- ์ ๋ณด์ฒ๋ฆฌ๊ธฐ์ฌ ์ฑ ์ถ์ฒ
- ์์ฐ์ด์ฒ๋ฆฌ ๋ ผ๋ฌธ ๋ฆฌ๋ทฐ
- ๋ฐ์ดํฐ ํฉ์ฑ
- ๋ค์ด๋๋ฏน ํ๋ก๊ทธ๋๋ฐ
- DST fewshot learning
- ์ ๋ณด์ฒ๋ฆฌ๊ธฐ์ฌ์ ๊ณต์ํฉ๊ฒฉํ๊ธฐ
- Zero-shot transfer learning with synthesized data for multi-domain dialogue state tracking
- til
- nlp๋ ผ๋ฌธ๋ฆฌ๋ทฐ
Archives
- Today
- Total
๋ชฉ๋กํ์ด์ฌ์ ํ์ด์ฌ๋ต๊ฒ (2)
๐ฒ์๋ผ๋๋์ฒญ๋
[ํ์ด์ฌ์ ํ์ด์ฌ๋ต๊ฒ]n์ง๋ฒ์ผ๋ก ํ๊ธฐ๋ string์ 10์ง๋ฒ ์ซ์๋ก ๋ณํํ๊ธฐ
๋์ ํ์ด: 1 2 3 4 5 6 7 num, base = map(int, input().strip().split(' ')) answer = 0 for i,n in enumerate(str(num)[::-1]): answer += (base**i) * int(n) print(answer) Colored by Color Scripter cs ํ์ด์ฌ์ค๋ฌ์ด ๋ฐฉ๋ฒ 123num = '3212'base = 5answer = int(num, base)cs
์๊ณ ๋ฆฌ์ฆ ๋ฌธ์ ํ์ด
2021. 1. 31. 13:31