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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
Adversarially Robust Generalization Just Requires More Unlabeled Data
Runtian Zhai, Tianle Cai 외 5명
arXiv (Cornell University)
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2019
|
90 회 인용
Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth
Yihe Dong, Jean-Baptiste Cordonnier 외 1명
arXiv (Cornell University)
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2021
|
90 회 인용
Automatic feature learning for vulnerability prediction
Hoa Khanh Dam, Truyen Tran 외 4명
arXiv (Cornell University)
|
2017
|
90 회 인용
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes
Ahmed M. Alaa, Mihaela van der Schaar
arXiv (Cornell University)
|
2017
|
90 회 인용
Best Practices for Scientific Research on Neural Architecture Search
Marius Lindauer, Frank Hutter
arXiv (Cornell University)
|
2019
|
90 회 인용
Both Toffoli and Controlled-NOT need little help to do universal quantum computation
Yaoyun Shi
ArXiv.org
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2002
|
90 회 인용
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
Yuzhen Huang, Yuzhuo Bai 외 11명
arXiv (Cornell University)
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2023
|
90 회 인용
Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice
Hongzhou Lin, Julien Mairal 외 1명
arXiv (Cornell University)
|
2017
|
90 회 인용
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
Emre Kıcıman, Robert A. Van Ness 외 2명
arXiv (Cornell University)
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2023
|
90 회 인용
ChatGPT for Robotics: Design Principles and Model Abilities
Sai Vemprala, Rogerio Bonatti 외 2명
arXiv (Cornell University)
|
2023
|
90 회 인용
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