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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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Fast is better than free: Revisiting adversarial training
Eric Wong, Leslie Rice, +1
arXiv (Cornell University)
|
2020
|
485 citations
Semantic Segmentation using Adversarial Networks
Pauline Luc, Camille Couprie, +2
arXiv (Cornell University)
|
2016
|
485 citations
Efficient GAN-Based Anomaly Detection
Houssam Zenati, Chuan-Sheng Foo, +3
arXiv (Cornell University)
|
2018
|
483 citations
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
Jin Han Lee, Myung Kyu Han, +2
arXiv (Cornell University)
|
2019
|
483 citations
Imaging Time-Series to Improve Classification and Imputation
Zhiguang Wang, Tim Oates
arXiv (Cornell University)
|
2015
|
483 citations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li, Pan Zhou, +2
arXiv (Cornell University)
|
2020
|
483 citations
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
Meng-Hao Guo, Cheng-Ze Lu, +4
arXiv (Cornell University)
|
2022
|
483 citations
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao, Stella Biderman, +10
arXiv (Cornell University)
|
2020
|
483 citations
A Convolutional Neural Network for Modelling Sentences
Nal Kalchbrenner, Edward Grefenstette, +1
arXiv (Cornell University)
|
2014
|
482 citations
Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron, Piotr Bojanowski, +2
arXiv (Cornell University)
|
2018
|
482 citations
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