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