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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
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto, David Meger 외 1명
arXiv (Cornell University)
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2018
|
279 회 인용
Some Advances in Transformation-Based Part of Speech Tagging
Eric Brill
ArXiv.org
|
1994
|
279 회 인용
Towards a Unified View of Parameter-Efficient Transfer Learning
Junxian He, Chunting Zhou 외 3명
arXiv (Cornell University)
|
2021
|
279 회 인용
ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering
Kan Chen, Jiang Wang 외 4명
arXiv (Cornell University)
|
2015
|
278 회 인용
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Krahmer, Emiel, Clouth, Felix 외 6명
arXiv (Cornell University)
|
2022
|
278 회 인용
Contrastive Learning of Medical Visual Representations from Paired Images and Text
Yuhao Zhang, Hang Jiang 외 3명
arXiv (Cornell University)
|
2020
|
278 회 인용
Fader Networks: Manipulating Images by Sliding Attributes
Guillaume Lample, Neil Zeghidour 외 4명
arXiv (Cornell University)
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2017
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278 회 인용
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang, Songwei Ge 외 2명
arXiv (Cornell University)
|
2019
|
278 회 인용
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello, Hieu Pham 외 3명
arXiv (Cornell University)
|
2016
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278 회 인용
Nonnegative Decomposition of Multivariate Information
Paul L. Williams, Randall D. Beer
arXiv (Cornell University)
|
2010
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278 회 인용
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