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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Image-to-Markup Generation with Coarse-to-Fine Attention
Yuntian Deng, Anssi Kanervisto 외 2명
arXiv (Cornell University)
|
2016
|
85 회 인용
Improving Factuality and Reasoning in Language Models through Multiagent Debate
Yilun Du, Shuang Li 외 3명
arXiv (Cornell University)
|
2023
|
85 회 인용
In Search of Lost Domain Generalization
Ishaan Gulrajani, David López-Paz
arXiv (Cornell University)
|
2020
|
85 회 인용
Inference Suboptimality in Variational Autoencoders
Chris Cremer, Xuechen Li 외 1명
arXiv (Cornell University)
|
2018
|
85 회 인용
Inferring Gender from Names on the Web: A Comparative Evaluation of Gender Detection Methods
Fariba Karimi, Claudia Wagner 외 3명
arXiv (Cornell University)
|
2016
|
85 회 인용
Latent Alignment and Variational Attention
Yuntian Deng, Yoon Kim 외 3명
arXiv (Cornell University)
|
2018
|
85 회 인용
Learning Hash Functions Using Column Generation
Xi Li, Guosheng Lin 외 3명
arXiv (Cornell University)
|
2013
|
85 회 인용
Learning Program Embeddings to Propagate Feedback on Student Code
Chris Piech, Jonathan Huang 외 4명
arXiv (Cornell University)
|
2015
|
85 회 인용
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks
Jakob Foerster, Yannis Assael 외 2명
arXiv (Cornell University)
|
2016
|
85 회 인용
MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Zhang, Sergey Levine 외 1명
arXiv (Cornell University)
|
2021
|
85 회 인용
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