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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
Extracting Training Data from Large Language Models
Nicholas Carlini, Florian Tramèr 외 10명
arXiv (Cornell University)
|
2020
|
274 회 인용
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
Jianbo Chen, Le Song 외 2명
arXiv (Cornell University)
|
2018
|
274 회 인용
Safe Exploration in Continuous Action Spaces
Gal Dalal, Krishnamurthy Dvijotham 외 4명
arXiv (Cornell University)
|
2018
|
274 회 인용
Structure Discovery in Nonparametric Regression through Compositional Kernel Search
David Duvenaud, James Robert Lloyd 외 3명
arXiv (Cornell University)
|
2013
|
274 회 인용
A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations
Logan Engstrom, Brandon Tran 외 3명
arXiv (Cornell University)
|
2017
|
273 회 인용
Big Bird: Transformers for Longer Sequences
Manzil Zaheer, Guru Guruganesh 외 9명
arXiv (Cornell University)
|
2020
|
273 회 인용
Convergence Analysis of Two-layer Neural Networks with ReLU Activation
Yuanzhi Li, Yuan Yang
arXiv (Cornell University)
|
2017
|
273 회 인용
Dropout Training as Adaptive Regularization
Stefan Wager, Sida Wang 외 1명
arXiv (Cornell University)
|
2013
|
273 회 인용
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems
Colin Raffel, Daniel P. W. Ellis
arXiv (Cornell University)
|
2015
|
273 회 인용
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan, Édouard Grave 외 1명
arXiv (Cornell University)
|
2019
|
273 회 인용
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