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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
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results
Yuan Yuan, Yew-Soon Ong 외 8명
arXiv (Cornell University)
|
2017
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134 회 인용
In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning
Behnam Neyshabur, Ryota Tomioka 외 1명
arXiv (Cornell University)
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2014
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134 회 인용
Low precision storage for deep learning
Matthieu Courbariaux, Yoshua Bengio 외 1명
arXiv (Cornell University)
|
2014
|
134 회 인용
Memento: Time Travel for the Web
Herbert Van de Sompel, Michael L. Nelson 외 4명
ArXiv.org
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2009
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134 회 인용
mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions
Bernd Bischl, Jakob Richter 외 4명
arXiv (Cornell University)
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2017
|
134 회 인용
OpenAssistant Conversations -- Democratizing Large Language Model Alignment
Andreas Köpf, Yannic Kilcher 외 16명
arXiv (Cornell University)
|
2023
|
134 회 인용
Pointer Networks
Oriol Vinyals, Meire Fortunato 외 1명
arXiv (Cornell University)
|
2015
|
134 회 인용
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
Sjoerd van Steenkiste, Michael Chang 외 2명
arXiv (Cornell University)
|
2018
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134 회 인용
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
Chih‐Yao Ma, Jiasen Lu 외 5명
arXiv (Cornell University)
|
2019
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134 회 인용
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
Wenbo Guo, Lun Wang 외 3명
arXiv (Cornell University)
|
2019
|
134 회 인용
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