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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
Learning with Augmented Features for Heterogeneous Domain Adaptation
Lixin Duan, Dong Xu 외 1명
arXiv (Cornell University)
|
2012
|
223 회 인용
LF-Net: Learning Local Features from Images
Y. Ono, Eduard Trulls 외 2명
arXiv (Cornell University)
|
2018
|
223 회 인용
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Hao Tan, Mohit Bansal
arXiv (Cornell University)
|
2019
|
223 회 인용
Nonlinear Models Using Dirichlet Process Mixtures
Babak Shahbaba, Radford M. Neal
ArXiv.org
|
2007
|
223 회 인용
Privacy and Data Protection by Design - from policy to engineering
George Danezis, Josep Domingo‐Ferrer 외 5명
arXiv (Cornell University)
|
2015
|
223 회 인용
Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider
Mohammad Shahrad, Rodrigo Fonseca 외 8명
arXiv (Cornell University)
|
2020
|
223 회 인용
Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan, Pan He 외 2명
arXiv (Cornell University)
|
2017
|
222 회 인용
Counterfactual Explanations for Machine Learning: A Review.
Sahil Verma, John P. Dickerson 외 1명
arXiv (Cornell University)
|
2020
|
222 회 인용
DETRs Beat YOLOs on Real-time Object Detection
Y. Zhao, Wenyu Lv
arXiv (Cornell University)
|
2023
|
222 회 인용
Efficient Algorithms for Citation Network Analysis
Vladimir Batagelj
arXiv (Cornell University)
|
2003
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222 회 인용
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