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