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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
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh, Seunghoon Hong 외 1명
arXiv (Cornell University)
|
2015
|
612 회 인용
Estimating high-dimensional directed acyclic graphs with the PC-algorithm
Markus Kalisch, Peter Bühlmann
ArXiv.org
|
2005
|
611 회 인용
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
Lasse Espeholt, Hubert Soyer 외 10명
arXiv (Cornell University)
|
2018
|
611 회 인용
Retrieval-Augmented Generation for Large Language Models: A Survey
Yunfan Gao, Yun Xiong 외 8명
arXiv (Cornell University)
|
2023
|
610 회 인용
Revisiting Distributed Synchronous SGD
Pan, Xinghao, Jianmin Chen 외 3명
arXiv (Cornell University)
|
2017
|
609 회 인용
Federated Machine Learning: Concept and Applications
Qiang Yang, Yang Liu 외 2명
arXiv (Cornell University)
|
2019
|
607 회 인용
Multilingual Denoising Pre-training for Neural Machine Translation
Yinhan Liu, Jiatao Gu 외 6명
arXiv (Cornell University)
|
2020
|
607 회 인용
On the Variance of the Adaptive Learning Rate and Beyond
Liyuan Liu, Haoming Jiang 외 5명
arXiv (Cornell University)
|
2019
|
607 회 인용
Fixed Point Quantization of Deep Convolutional Networks
Darryl Dexu Lin, Sachin S. Talathi 외 1명
arXiv (Cornell University)
|
2015
|
606 회 인용
Which Training Methods for GANs do actually Converge?
Lars Mescheder, Andreas Geiger 외 1명
arXiv (Cornell University)
|
2018
|
606 회 인용
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