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