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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
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie, Zihang Dai 외 3명
arXiv (Cornell University)
|
2019
|
1,618 회 인용
Cross-lingual Language Model Pretraining
Guillaume Lample, Alexis Conneau
arXiv (Cornell University)
|
2019
|
1,617 회 인용
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks, Kevin Gimpel
arXiv (Cornell University)
|
2016
|
1,615 회 인용
Proceedings of the 29th International Conference on Machine Learning (ICML-12)
John Langford, Joëlle Pineau
arXiv (Cornell University)
|
2012
|
1,613 회 인용
NetVLAD: CNN architecture for weakly supervised place recognition
Relja Arandjelović, Petr Gronát 외 3명
arXiv (Cornell University)
|
2015
|
1,598 회 인용
Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
Peter D. Turney
ArXiv.org
|
2002
|
1,580 회 인용
Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition
Erik F. Tjong Kim Sang
ArXiv.org
|
2002
|
1,575 회 인용
Multi-Scale Context Aggregation by Dilated Convolutions
Fisher Yu, Vladlen Koltun
arXiv (Cornell University)
|
2015
|
1,572 회 인용
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu, Chengkai Zhang 외 3명
arXiv (Cornell University)
|
2016
|
1,562 회 인용
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
Guillaume Lemaître, Fernando Nogueira 외 1명
arXiv (Cornell University)
|
2016
|
1,560 회 인용
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