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