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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
Question Answering with Subgraph Embeddings
Antoine Bordes, Sumit Chopra 외 1명
arXiv (Cornell University)
|
2014
|
119 회 인용
RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free
Cheng-Yang Fu, Mykhailo Shvets 외 1명
arXiv (Cornell University)
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2019
|
119 회 인용
Robust Deep Reinforcement Learning with Adversarial Attacks
Anay Pattanaik, Zhenyi Tang 외 3명
arXiv (Cornell University)
|
2017
|
119 회 인용
Robustness of classifiers: from adversarial to random noise
Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli 외 1명
arXiv (Cornell University)
|
2016
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119 회 인용
Scaling Distributed Machine Learning with In-Network Aggregation
Amedeo Sapio, Marco Canini 외 8명
arXiv (Cornell University)
|
2019
|
119 회 인용
Semantic Autoencoder for Zero-Shot Learning
Elyor Kodirov, Tao Xiang 외 1명
arXiv (Cornell University)
|
2017
|
119 회 인용
Simple Online and Realtime Tracking with a Deep Association Metric
Nicolai Wojke, Alex Bewley 외 1명
arXiv (Cornell University)
|
2017
|
119 회 인용
Software Startups - A Research Agenda
Michael Unterkalmsteiner, Pekka Abrahamsson 외 25명
LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
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2016
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119 회 인용
TSMixer: An All-MLP Architecture for Time Series Forecasting
Sian Chen, Chunliang Li 외 3명
arXiv (Cornell University)
|
2023
|
119 회 인용
Tycoon: A Distributed Market-based Resource Allocation System
Kevin Lai, Bernardo A. Huberman 외 1명
ArXiv.org
|
2004
|
119 회 인용
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