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