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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
Status of Serverless Computing and Function-as-a-Service(FaaS) in Industry and Research
Geoffrey Fox, Vatche Ishakian 외 2명
arXiv (Cornell University)
|
2017
|
115 회 인용
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press, Noah A. Smith 외 1명
arXiv (Cornell University)
|
2021
|
115 회 인용
Verifiable Reinforcement Learning via Policy Extraction
Osbert Bastani, Yewen Pu 외 1명
arXiv (Cornell University)
|
2018
|
115 회 인용
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation
Hao Chen, Qi Dou 외 2명
arXiv (Cornell University)
|
2016
|
115 회 인용
A Survey on Contextual Embeddings
Qi Liu, Matt J. Kusner 외 4명
arXiv (Cornell University)
|
2020
|
114 회 인용
A Survey on GANs for Anomaly Detection
Federico Di Mattia, Paolo Galeone 외 2명
arXiv (Cornell University)
|
2019
|
114 회 인용
A Syntactic Neural Model for General-Purpose Code Generation
Pengcheng Yin, Graham Neubig
arXiv (Cornell University)
|
2017
|
114 회 인용
Assessing Generalization in Deep Reinforcement Learning
Charles Packer, Katelyn Gao 외 4명
arXiv (Cornell University)
|
2018
|
114 회 인용
BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers
Zhiliang Peng, Dong Li 외 3명
arXiv (Cornell University)
|
2022
|
114 회 인용
Best-first Model Merging for Hidden Markov Model Induction
Andreas Stolcke, Stephen M. Omohundro
ArXiv.org
|
1994
|
114 회 인용
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