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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
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni 외 4명
arXiv (Cornell University)
|
2018
|
199 회 인용
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Claudio Michaelis, Benjamin Mitzkus 외 6명
arXiv (Cornell University)
|
2019
|
199 회 인용
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz, Leonid Karlinsky 외 7명
arXiv (Cornell University)
|
2018
|
199 회 인용
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search
BoRui Wu, Yanghan Wang 외 4명
arXiv (Cornell University)
|
2018
|
199 회 인용
Multi-Stage Document Ranking with BERT
Rodrigo Nogueira, Wei Yang 외 2명
arXiv (Cornell University)
|
2019
|
199 회 인용
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors
Andrew Ilyas, Logan Engstrom 외 1명
arXiv (Cornell University)
|
2018
|
199 회 인용
Simultaneous Detection and Segmentation
Bharath Hariharan, Pablo Arbeláez 외 2명
arXiv (Cornell University)
|
2014
|
199 회 인용
Strong Completeness and Faithfulness in Bayesian Networks
Christopher Meek
arXiv (Cornell University)
|
2013
|
199 회 인용
TADAM: Task dependent adaptive metric for improved few-shot learning
Boris N. Oreshkin, Pau Rodríguez 외 1명
arXiv (Cornell University)
|
2018
|
199 회 인용
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun, Xiaolong Wang 외 4명
arXiv (Cornell University)
|
2019
|
199 회 인용
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