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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
Benchmarking TPU, GPU, and CPU Platforms for Deep Learning
Yu Emma Wang, Gu-Yeon Wei 외 1명
arXiv (Cornell University)
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2019
|
230 회 인용
CLEAR: Contrastive Learning for Sentence Representation
Zhuofeng Wu, Sinong Wang 외 4명
arXiv (Cornell University)
|
2020
|
230 회 인용
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Jihoon Tack, Sangwoo Mo 외 2명
arXiv (Cornell University)
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2020
|
230 회 인용
DeepCoder: Learning to Write Programs
Matej Balog, Alexander L. Gaunt 외 3명
arXiv (Cornell University)
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2016
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230 회 인용
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks
Huizi Mao, Song Han 외 5명
arXiv (Cornell University)
|
2017
|
230 회 인용
Information Centric Networking in the IoT: Experiments with NDN in the Wild
Emmanuel Baccelli, Christian Mehlis 외 3명
2014
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230 회 인용
Learning Video Representations using Contrastive Bidirectional Transformer
Chen Sun, Fabien Baradel 외 2명
arXiv (Cornell University)
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2019
|
230 회 인용
On the Convergence of Federated Optimization in Heterogeneous Networks.
Anit Kumar Sahu, Tian Li 외 4명
arXiv (Cornell University)
|
2018
|
230 회 인용
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks
Zhilin Yang, Ruslan Salakhutdinov 외 1명
arXiv (Cornell University)
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2017
|
230 회 인용
Triple Generative Adversarial Nets
Chongxuan Li, Kun Xu 외 2명
arXiv (Cornell University)
|
2017
|
230 회 인용
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