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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
Focal Loss for Dense Object Detection
Tsung-Yi Lin, Priya Goyal 외 3명
arXiv (Cornell University)
|
2017
|
1,337 회 인용
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
Pierre Sermanet, David Eigen 외 4명
arXiv (Cornell University)
|
2013
|
1,333 회 인용
CatBoost: gradient boosting with categorical features support
Anna Veronika Dorogush, Vasily Ershov 외 1명
arXiv (Cornell University)
|
2018
|
1,325 회 인용
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
arXiv (Cornell University)
|
2016
|
1,321 회 인용
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models
Ryan Kiros, Ruslan Salakhutdinov 외 1명
arXiv (Cornell University)
|
2014
|
1,320 회 인용
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle, Michael Carbin
arXiv (Cornell University)
|
2018
|
1,319 회 인용
Supervised Topic Models
David M. Blei, Jon McAuliffe
arXiv (Cornell University)
|
2010
|
1,316 회 인용
Ward's Hierarchical Clustering Method: Clustering Criterion and Agglomerative Algorithm
Fionn Murtagh, Pierre Legendre
arXiv (Cornell University)
|
2011
|
1,316 회 인용
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu, Jiehui Xu 외 2명
arXiv (Cornell University)
|
2021
|
1,311 회 인용
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius, Heng Wang 외 1명
arXiv (Cornell University)
|
2021
|
1,309 회 인용
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