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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
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
Nicholas Carlini, Chang Liu 외 3명
arXiv (Cornell University)
|
2018
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504 회 인용
MPNet: Masked and Permuted Pre-training for Language Understanding
Kaitao Song, Xu Tan 외 3명
arXiv (Cornell University)
|
2020
|
503 회 인용
On Evaluation of Embodied Navigation Agents
Peter Anderson, Anne Lynn S. Chang 외 9명
arXiv (Cornell University)
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2018
|
503 회 인용
A simple neural network module for relational reasoning
Adam Santoro, David Raposo 외 5명
arXiv (Cornell University)
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2017
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501 회 인용
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
Yan Duan, John Schulman 외 4명
arXiv (Cornell University)
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2016
|
501 회 인용
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Zhuchen Shao, Hao Bian 외 5명
arXiv (Cornell University)
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2021
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501 회 인용
Generalized power method for sparse principal component analysis
Michel Journée, Yurii Nesterov 외 2명
arXiv (Cornell University)
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2008
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500 회 인용
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall, Yarin Gal 외 1명
arXiv (Cornell University)
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2017
|
500 회 인용
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
Junnan Li, Richard Socher 외 1명
arXiv (Cornell University)
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2020
|
499 회 인용
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Nat Dilokthanakul, Pedro A. M. Mediano 외 5명
arXiv (Cornell University)
|
2016
|
498 회 인용
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