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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
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model
Peng Gao, Jiaming Han 외 10명
arXiv (Cornell University)
|
2023
|
117 회 인용
Machine Learning of Generic and User-Focused Summarization
Inderjeet Mani, Eric Bloedorn
ArXiv.org
|
1998
|
117 회 인용
Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction
Edward Choi, Andy Schuetz 외 2명
arXiv (Cornell University)
|
2016
|
117 회 인용
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
Szu‐Wei Fu, Chien-Feng Liao 외 2명
arXiv (Cornell University)
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2019
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117 회 인용
Model-Based Reinforcement Learning via Meta-Policy Optimization
Ignasi Clavera, Jonas Rothfuss 외 4명
arXiv (Cornell University)
|
2018
|
117 회 인용
Model Selection Through Sparse Maximum Likelihood Estimation
Onureena Banerjee, Laurent El Ghaoui 외 1명
ArXiv.org
|
2007
|
117 회 인용
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
Xiangyi Chen, Sijia Liu 외 2명
arXiv (Cornell University)
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2018
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117 회 인용
One Fits All:Power General Time Series Analysis by Pretrained LM
Tian Zhou, PeiSong Niu 외 3명
arXiv (Cornell University)
|
2023
|
117 회 인용
OnionNet-2
Zechen Wang
arXiv (Cornell University)
|
2024
|
117 회 인용
Overview of the TREC 2020 deep learning track
Nick Craswell, Bhaskar Mitra 외 2명
arXiv (Cornell University)
|
2021
|
117 회 인용
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