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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
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
Tarek R. Besold, Artur d’Avila Garcez 외 12명
arXiv (Cornell University)
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2017
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238 회 인용
Think Locally, Act Globally: Federated Learning with Local and Global Representations
Paul Pu Liang, Terrance Liu 외 6명
arXiv (Cornell University)
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2020
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238 회 인용
A Study on Overfitting in Deep Reinforcement Learning
Chiyuan Zhang, Oriol Vinyals 외 2명
arXiv (Cornell University)
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2018
|
237 회 인용
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
Andreas Veit, Tomáš Matera 외 3명
arXiv (Cornell University)
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2016
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237 회 인용
Defensive Distillation is Not Robust to Adversarial Examples
Nicholas Carlini, David Wagner
arXiv (Cornell University)
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2016
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237 회 인용
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li, John Thickstun 외 3명
arXiv (Cornell University)
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2022
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237 회 인용
Learning to Remember Rare Events
Łukasz Kaiser, Ofir Nachum 외 2명
arXiv (Cornell University)
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2017
|
237 회 인용
Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing
Gal Elidan, Ian McGraw 외 1명
arXiv (Cornell University)
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2012
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237 회 인용
Spectral Signatures in Backdoor Attacks
Brandon Tran, Jerry Li 외 1명
arXiv (Cornell University)
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2018
|
237 회 인용
The Complexity of Decentralized Control of Markov Decision Processes
Daniel S. Bernstein, Shlomo Zilberstein 외 1명
arXiv (Cornell University)
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2013
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237 회 인용
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