์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
- ํ๋ก๊ทธ๋๋จธ์ค
- Zero-shot transfer learning with synthesized data for multi-domain dialogue state tracking
- How Much Knowledge Can You Pack Into the Parameters of a Language Model?
- ์ ๋ณด์ฒ๋ฆฌ๊ธฐ์ฌ ์ฑ ์ถ์ฒ
- ๋ฐ์ดํฐ ํฉ์ฑ
- ์์ฐ์ด์ฒ๋ฆฌ ๋ ผ๋ฌธ ๋ฆฌ๋ทฐ
- fasttext text classification ํ๊ธ
- ๊ฒ์์์ง
- Few Shot Dialogue State Tracking using Meta-learning
- ์ ๋ณด์ฒ๋ฆฌ๊ธฐ์ฌ์ ๊ณต์
- dialogue state tracking
- SUMBT:Slot-Utterance Matching for Universal and Scalable Belief Tracking
- ์ ๋ณด์ฒ๋ฆฌ๊ธฐ์ฌ ์์ ๋น
- ๋ค์ด๋๋ฏน ํ๋ก๊ทธ๋๋ฐ
- nlp๋ ผ๋ฌธ๋ฆฌ๋ทฐ
- few shot dst
- MySQL
- ์ ๋ณด์ฒ๋ฆฌ๊ธฐ์ฌ์ ๊ณต์ํฉ๊ฒฉํ๊ธฐ
- ๋ฅ๋ฌ๋๊ธฐ์ด
- til
- classification text
- From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap
- Python
- DST fewshot learning
- 2020์ ๋ณด์ฒ๋ฆฌ๊ธฐ์ฌํ๊ธฐ
- DST zeroshot learning
- ๋ฐฑ์ค
- ๋ชจ๋์๋ฅ๋ฌ๋
- Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking
- ํ์ด์ฌ์ ํ์ด์ฌ๋ต๊ฒ
Archives
- Today
- Total
๋ชฉ๋ก๋์ 1 ํ์ด์ฌ ํ์ด (1)
๐ฒ์๋ผ๋๋์ฒญ๋
[๋ฐฑ์ค] ๋์ 1 ํ์ด์ฌ ํ์ด(DP)
๋ฐฑ์ค 2293๋ฒ ๋์ 1์ ํ์ด๋ณด์๋ค. https://www.acmicpc.net/problem/2293 ์ฒ์์ ๋ฐฑํธ๋ํน์ผ๋ก ํ์ด๋ณด์๊ณ , ๊ทธ๋ค์์๋ stack์ ์ด์ฉํด์ ํ์ด๋ณด์์ง๋ง ๋๋ค, ์๊ฐ์ด๊ณผ, ๋๋ ๋ฉ๋ชจ๋ฆฌ ์ด๊ณผ๊ฐ ๋์ด ๋ง์๋์ง ์ด์จ๋์ง ์ ์๊ฐ ์์๋ค. ๋ฐฑํธ๋ํน์ผ๋ก ํ์ด ๋ณธ ํ์ด 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 31 32 33 34 35 36 37 38 def main(): N, goal = map(int,input().split()) coin = [] for i in range(N): coin.append(int(input())) coin = sorted(coin, reverse = T..
์๊ณ ๋ฆฌ์ฆ ๋ฌธ์ ํ์ด
2019. 12. 4. 16:05