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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
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
Cristóbal Esteban, Stephanie L. Hyland 외 1명
arXiv (Cornell University)
|
2017
|
380 회 인용
A Benchmark for Interpretability Methods in Deep Neural Networks
Sara Hooker, Dumitru Erhan 외 2명
arXiv (Cornell University)
|
2018
|
379 회 인용
Conformer: Convolution-augmented Transformer for Speech Recognition
Anmol Gulati, James Qin 외 9명
arXiv (Cornell University)
|
2020
|
379 회 인용
Contact Tracing Mobile Apps for COVID-19: Privacy Considerations and Related Trade-offs
Hyunghoon Cho, Daphne Ippolito 외 1명
Deep Blue (University of Michigan)
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2020
|
379 회 인용
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Qilong Wang, Banggu Wu 외 4명
arXiv (Cornell University)
|
2019
|
379 회 인용
Fog Computing: Focusing on Mobile Users at the Edge
Tom H. Luan, Longxiang Gao 외 4명
arXiv (Cornell University)
|
2015
|
379 회 인용
Generative Moment Matching Networks
Yujia Li, Kevin Swersky 외 1명
arXiv (Cornell University)
|
2015
|
379 회 인용
Learning to reinforcement learn
Jane X. Wang, Zeb Kurth‐Nelson 외 7명
arXiv (Cornell University)
|
2016
|
379 회 인용
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction
Seyone Chithrananda, Gabriel Grand 외 1명
arXiv (Cornell University)
|
2020
|
378 회 인용
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat, Jan Kautz
arXiv (Cornell University)
|
2020
|
378 회 인용
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