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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
Robust Physical-World Attacks on Machine Learning Models.
Ivan Evtimov, Kevin Eykholt 외 6명
arXiv (Cornell University)
|
2017
|
197 회 인용
Spatially-sparse convolutional neural networks
Benjamin Graham
arXiv (Cornell University)
|
2014
|
197 회 인용
Addition on a Quantum Computer
Thomas G. Draper
ArXiv.org
|
2000
|
196 회 인용
Atlas: Few-shot Learning with Retrieval Augmented Language Models
Gautier Izacard, Patrick Lewis 외 8명
arXiv (Cornell University)
|
2022
|
196 회 인용
Cerise: Program Verification on a Capability Machine in the Presence of Untrusted Code
Logé, Frédéric, Le Pennec, Erwann 외 1명
arXiv (Cornell University)
|
2021
|
196 회 인용
Large Scale Adversarial Representation Learning
Jeff Donahue, Karen Simonyan
arXiv (Cornell University)
|
2019
|
196 회 인용
Leveraging BERT for Extractive Text Summarization on Lectures
Derek M. Miller
arXiv (Cornell University)
|
2019
|
196 회 인용
Local Rule-Based Explanations of Black Box Decision Systems
Riccardo Guidotti, Anna Monreale 외 4명
arXiv (Cornell University)
|
2018
|
196 회 인용
LSDA: Large Scale Detection Through Adaptation
Judy Hoffman, Sergio Guadarrama 외 6명
arXiv (Cornell University)
|
2014
|
196 회 인용
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
Matthias Plappert, Marcin Andrychowicz 외 10명
arXiv (Cornell University)
|
2018
|
196 회 인용
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