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- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 리뷰
- ImageNet Classification with Deep ConvolutionalNeural Networks 리뷰
- 바닥부터 배우는 강화 학습
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- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 논문리뷰
- 정책기반 agent
- TOD 논문리뷰
- 뉴텝스 400
- The Natural Language Decathlon:Multitask Learning as Question Answering
- Multi Task Learning Objectives for Natural Language Processing
- hugging face tokenizer에서 special case 추가하기
- UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2
- NLP 논문 리뷰
- A Neural Attention Model for Abstractive Sentence Summarization
- MMTOD
- T5 논문 리뷰
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- attention 설명
- Multi Task Learning Objectives for Natural Language Processing 리뷰
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
- RuntimeError: DataLoader worker (pid(s) ) exited unexpectedly
- Attention Is All You Need
- Attention Is All You Need 리뷰
- 길찾기
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer 리뷰
- 다양한 모듈에서 log쓰기
- Zero-shot Generalization in Dialog State Tracking through GenerativeQuestion Answering
- Evaluate Multiwoz
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 import sys N = int(sys.stdin.readline()) for _ in range(N): items = list(map(int, sys.stdin.readline().split())) a,b = items[0]%10, items[1] temp = a last_part = [a] if a == 0: print(10) continue while True: temp*= a if len(last_part)!=1 and temp%10 == a: break else: last_part.append(temp%10) loop_len = len(last_part) print(last_part[b%..
코딩문제
2022. 6. 16. 12:16