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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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Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN
Hyeungill Lee, Sungyeob Han, +1
arXiv (Cornell University)
|
2017
|
87 citations
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification
Yulin Wang, Kangchen Lv, +4
arXiv (Cornell University)
|
2020
|
87 citations
Graph Neural Networks for Graphs with Heterophily: A Survey
Xin Zheng, Wang, Yi, +6
arXiv (Cornell University)
|
2022
|
87 citations
GritNet: Student Performance Prediction with Deep Learning
Byung‐Hak Kim, Ethan Vizitei, +1
arXiv (Cornell University)
|
2018
|
87 citations
Image Inpainting via Generative Multi-column Convolutional Neural Networks
Yi Wang, Xin Tao, +3
arXiv (Cornell University)
|
2018
|
87 citations
Image-to-image translation for cross-domain disentanglement
Abel González-García, Joost van de Weijer, +1
arXiv (Cornell University)
|
2018
|
87 citations
Inferring Networks of Substitutable and Complementary Products
Julian McAuley, Rahul Pandey, +1
arXiv (Cornell University)
|
2015
|
87 citations
LAMBERT: Layout-Aware (Language) Modeling for information extraction
Łukasz Garncarek, Rafał Powalski, +5
arXiv (Cornell University)
|
2020
|
87 citations
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Difan Zou, Ziniu Hu, +4
arXiv (Cornell University)
|
2019
|
87 citations
Learning Dependency-Based Compositional Semantics
Percy Liang, Michael I. Jordan, +1
arXiv (Cornell University)
|
2011
|
87 citations
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