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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
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks
Sanjeev Arora, Nadav Cohen 외 2명
arXiv (Cornell University)
|
2018
|
113 회 인용
A Survey of the State of Explainable AI for Natural Language Processing
Marina Danilevsky, Kun Qian 외 4명
arXiv (Cornell University)
|
2020
|
113 회 인용
A Survey on Large Language Model based Autonomous Agents
Lei Wang, Chen Ma 외 11명
arXiv (Cornell University)
|
2023
|
113 회 인용
A Watermark for Large Language Models
John Kirchenbauer, Jonas Geiping 외 4명
arXiv (Cornell University)
|
2023
|
113 회 인용
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning
Asa Cooper Stickland, Iain Murray
arXiv (Cornell University)
|
2019
|
113 회 인용
Classifying Relations by Ranking with Convolutional Neural Networks
Cícero Nogueira dos Santos, Bing Xiang 외 1명
arXiv (Cornell University)
|
2015
|
113 회 인용
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
Huaishao Luo, Lei Ji 외 5명
arXiv (Cornell University)
|
2021
|
113 회 인용
Cross-Composition: A New Technique for Kernelization Lower Bounds
Hans L. Bodlaender, Bart M. P. Jansen 외 1명
arXiv (Cornell University)
|
2010
|
113 회 인용
Design Guidelines for Domain Specific Languages
Gábor Karsai, Holger Krahn 외 4명
arXiv (Cornell University)
|
2014
|
113 회 인용
DIET: Lightweight Language Understanding for Dialogue Systems
Tanja Bunk, Daksh Varshneya 외 2명
arXiv (Cornell University)
|
2020
|
113 회 인용
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