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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
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
Amit Dhurandhar, Pin‐Yu Chen 외 5명
arXiv (Cornell University)
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2018
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174 회 인용
Faithful to the Original: Fact Aware Neural Abstractive Summarization
Ziqiang Cao, Furu Wei 외 2명
arXiv (Cornell University)
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2017
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174 회 인용
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang, Lu Liu 외 1명
arXiv (Cornell University)
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2021
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174 회 인용
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning
Sébastien Forestier, Portelas, Rémy 외 2명
arXiv (Cornell University)
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2017
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174 회 인용
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
Minghong Fang, Xiaoyu Cao 외 2명
arXiv (Cornell University)
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2019
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174 회 인용
Mobile Edge Computing: Survey and Research Outlook.
Yuyi Mao, Changsheng You 외 3명
arXiv (Cornell University)
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2017
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174 회 인용
Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning
Hamza Harkous, Kassem Fawaz 외 4명
arXiv (Cornell University)
|
2018
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174 회 인용
Real-time object detection method based on improved YOLOv4-tiny
Zicong Jiang, Liquan Zhao 외 2명
arXiv (Cornell University)
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2020
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174 회 인용
Real-world Noisy Image Denoising: A New Benchmark
Jun Xu, Hui Li 외 3명
arXiv (Cornell University)
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2018
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174 회 인용
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
Mohammad Babaeizadeh, Iuri Frosio 외 3명
arXiv (Cornell University)
|
2016
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174 회 인용
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