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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
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples
Yinpeng Dong, Fan Bao 외 2명
arXiv (Cornell University)
|
2019
|
88 회 인용
Towards Verified Artificial Intelligence
Sanjit A. Seshia, Dorsa Sadigh 외 1명
arXiv (Cornell University)
|
2016
|
88 회 인용
Unsolved Problems in ML Safety
Dan Hendrycks, Nicholas Carlini 외 2명
arXiv (Cornell University)
|
2021
|
88 회 인용
VAFL: a Method of Vertical Asynchronous Federated Learning
Tianyi Chen, Xiao Jin 외 2명
arXiv (Cornell University)
|
2020
|
88 회 인용
A Note on Lazy Training in Supervised Differentiable Programming
Lénaïc Chizat, Francis Bach
arXiv (Cornell University)
|
2018
|
87 회 인용
A Unified Model for Multi-class Anomaly Detection
Zhiyuan You, Lei Cui 외 5명
arXiv (Cornell University)
|
2022
|
87 회 인용
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
Mohammadreza Salehi, Hossein Mirzaei 외 4명
arXiv (Cornell University)
|
2021
|
87 회 인용
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Xiaohan Ding, Yuchen Guo 외 2명
arXiv (Cornell University)
|
2019
|
87 회 인용
AI-Generated Content (AIGC): A Survey
Jiayang Wu, Wensheng Gan 외 3명
arXiv (Cornell University)
|
2023
|
87 회 인용
Analysing Mathematical Reasoning Abilities of Neural Models
David Saxton, Edward Grefenstette 외 2명
arXiv (Cornell University)
|
2019
|
87 회 인용
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