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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
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
Jiasen Lu, Anitha Kannan 외 3명
arXiv (Cornell University)
|
2017
|
86 회 인용
BlazePose: On-device Real-time Body Pose tracking
Valentin Bazarevsky, Ivan Grishchenko 외 4명
arXiv (Cornell University)
|
2020
|
86 회 인용
Characterizing Audio Adversarial Examples Using Temporal Dependency
Zhuolin Yang, Bo Li 외 2명
arXiv (Cornell University)
|
2018
|
86 회 인용
CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms
Shengyi Huang, Rousslan Fernand Julien Dossa 외 2명
arXiv (Cornell University)
|
2021
|
86 회 인용
CoCoA: A General Framework for Communication-Efficient Distributed Optimization
Virginia Smith, Simone Forte 외 4명
arXiv (Cornell University)
|
2016
|
86 회 인용
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
Yevgen Chebotar, Karol Hausman 외 4명
arXiv (Cornell University)
|
2017
|
86 회 인용
Compositional generalization in a deep seq2seq model by separating syntax and semantics
Jacob Russin, Jason Jo 외 2명
arXiv (Cornell University)
|
2019
|
86 회 인용
Constructions of Mutually Unbiased Bases
Andreas Klappenecker, Martin Roetteler
arXiv (Cornell University)
|
2003
|
86 회 인용
Continual Unsupervised Representation Learning
Dushyant Rao, Francesco Visin 외 4명
arXiv (Cornell University)
|
2019
|
86 회 인용
Convolution Neural Networks for diagnosing colon and lung cancer histopathological images
Sanidhya Mangal, Aanchal Chaurasia 외 1명
arXiv (Cornell University)
|
2020
|
86 회 인용
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