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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
Training Neural Networks with Local Error Signals
Arild Nøkland, Lars Hiller Eidnes
arXiv (Cornell University)
|
2019
|
130 회 인용
Transformers without Tears: Improving the Normalization of Self-Attention
Toan Nguyen, Julián Salazar
arXiv (Cornell University)
|
2019
|
130 회 인용
Using WordNet to Complement Training Information in Text Categorization
Manuel de Buenaga Rodríguez, José María Gómez Hidalgo 외 1명
ArXiv.org
|
1997
|
130 회 인용
Variational Autoencoders and Nonlinear ICA: A Unifying Framework
Ilyes Khemakhem, Diederik P. Kingma 외 2명
arXiv (Cornell University)
|
2019
|
130 회 인용
A Differentiable Programming System to Bridge Machine Learning and Scientific Computing
Mike Innes, Alan Edelman 외 5명
arXiv (Cornell University)
|
2019
|
129 회 인용
ATOMO: Communication-efficient Learning via Atomic Sparsification
Hongyi Wang, Scott Sievert 외 4명
arXiv (Cornell University)
|
2018
|
129 회 인용
BA-Net: Dense Bundle Adjustment Network
Chengzhou Tang, Ping Tan
arXiv (Cornell University)
|
2018
|
129 회 인용
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Meng Yu, Chenyan Xiong 외 5명
arXiv (Cornell University)
|
2021
|
129 회 인용
Conceptualizing Blockchains: Characteristics & Applications.
Karim R. Sultan, Umar Ruhi 외 1명
arXiv (Cornell University)
|
2018
|
129 회 인용
Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image
Thanh-Toan Do, Ming Cai 외 2명
arXiv (Cornell University)
|
2018
|
129 회 인용
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