https://github.com/aaron-wheeler/SFIArtificialStockMarket.jl
The effects of incentives, social norms, and employees' values on work performance
Papers with Code 아카이브
Cultural Vocal Bursts Intensity Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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to predict the intensity of 40 culture-specific emotions (10 emotions from each culture)
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/altomator/Introduction_to_Deep_Learning-2-Face_Detection
A Century of Portraits: A Visual Historical Record of American High School Yearbooks
https://github.com/bagustris/a-vb2022
https://github.com/chiang9/NLP-Chinese_couplet_generation
AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and Generation
https://github.com/chuanqichen/FakeNewsDetection
r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection
https://github.com/compstorylab/contagiograms
https://github.com/compstorylab/covid19ngrams
https://github.com/compstorylab/storywrangling
https://github.com/cvpaperchallenge/FashionCultureDataBase_DLoader
https://github.com/elisa-aleman/ctrip-tripadvisor-satisfaction-public
https://github.com/enzomuschik/distilfnd
r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection
https://github.com/gulvarol/bsldict
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
https://github.com/iamshnoo/soc_bias
Socially Aware Bias Measurements for Hindi Language Representations
https://github.com/jackaduma/nude-detect
https://github.com/microsoft/art
MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval
https://github.com/mikecheninoulu/Emotional-gesture-papers
https://github.com/moskewcz/boda
https://github.com/parsa-abbasi/IUST-Pattern-Recognition
https://github.com/tobiasemrich/SchafkopfRL
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass
https://gitlab.com/compstorylab/covid19ngrams
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.