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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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POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
Yeong‐Dae Kwon, Jinho Choo, +4
arXiv (Cornell University)
|
2020
|
135 citations
PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model
Juncai Peng, Yi Liu, +14
arXiv (Cornell University)
|
2022
|
135 citations
Probabilistic State-Dependent Grammars for Plan Recognition
David V. Pynadath, Michael P. Wellman
arXiv (Cornell University)
|
2013
|
135 citations
Probabilistic Theorem Proving
Vibhav Gogate, Pedro Domingos
arXiv (Cornell University)
|
2012
|
135 citations
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
Zachary Teed, Jia Deng
arXiv (Cornell University)
|
2020
|
135 citations
Research Agenda in Cloud Technologies
Ilango Sriram, Ali Khajeh‐Hosseini
arXiv (Cornell University)
|
2010
|
135 citations
Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers
Clément Farabet, Camille Couprie, +2
arXiv (Cornell University)
|
2012
|
135 citations
The Effects of Data Quality on Machine Learning Performance on Tabular Data
Mohammed, Sedir, Lukas Budach, +7
arXiv (Cornell University)
|
2022
|
135 citations
When Are Tree Structures Necessary for Deep Learning of Representations?
Jiwei Li, Minh-Thang Luong, +2
arXiv (Cornell University)
|
2015
|
135 citations
A Convex Formulation for Learning Task Relationships in Multi-Task Learning
Yu Zhang, Dit‐Yan Yeung
arXiv (Cornell University)
|
2012
|
134 citations
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