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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
How to Fine-Tune BERT for Text Classification?
Chi Sun, Xipeng Qiu 외 2명
arXiv (Cornell University)
|
2019
|
93 회 인용
Image Captioning: Transforming Objects into Words
Simao Herdade, Armin Kappeler 외 2명
arXiv (Cornell University)
|
2019
|
93 회 인용
Inference Attacks Against Collaborative Learning.
Luca Melis, Congzheng Song 외 2명
arXiv (Cornell University)
|
2018
|
93 회 인용
Interpretable Convolutional Filters with SincNet
Mirco Ravanelli, Yoshua Bengio
arXiv (Cornell University)
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2018
|
93 회 인용
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Gonzalo E. Mena, David Belanger 외 2명
arXiv (Cornell University)
|
2018
|
93 회 인용
Learning Robust Representations by Projecting Superficial Statistics Out
Haohan Wang, Zexue He 외 2명
arXiv (Cornell University)
|
2019
|
93 회 인용
Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation
Hongzhao Huang, Larry Heck 외 1명
arXiv (Cornell University)
|
2015
|
93 회 인용
Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit
Mei Song, Theodor Misiakiewicz 외 1명
arXiv (Cornell University)
|
2019
|
93 회 인용
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang, Dayan Guan 외 2명
arXiv (Cornell University)
|
2021
|
93 회 인용
On Orchestrating Virtual Network Functions in NFV
Md. Faizul Bari, Shihabur Rahman Chowdhury 외 2명
arXiv (Cornell University)
|
2015
|
93 회 인용
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