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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
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov, Ashvin Nair 외 1명
arXiv (Cornell University)
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2021
|
129 회 인용
Practical quantum error correction with the XZZX code and Kerr-cat qubits
Andrew S. Darmawan, Benjamin J. Brown 외 3명
arXiv (Cornell University)
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2021
|
129 회 인용
R-C3D: Region Convolutional 3D Network for Temporal Activity Detection
Huijuan Xu, Abir Das 외 1명
arXiv (Cornell University)
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2017
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129 회 인용
Recovery Guarantees for One-hidden-layer Neural Networks
Kai Zhong, Zhao Song 외 3명
arXiv (Cornell University)
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2017
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129 회 인용
Scalable Methods for 8-bit Training of Neural Networks
Ron Banner, Itay Hubara 외 2명
arXiv (Cornell University)
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2018
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129 회 인용
Scaled-YOLOv4: Scaling Cross Stage Partial Network
Chien-Yao Wang, Alexey Bochkovskiy 외 1명
arXiv (Cornell University)
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2020
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129 회 인용
Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning
Shichen Liu, Tianye Li 외 2명
arXiv (Cornell University)
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2019
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129 회 인용
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Yisen Wang, Xingjun Ma 외 4명
arXiv (Cornell University)
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2019
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129 회 인용
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
Chuang Gan, J. Schwartz 외 22명
arXiv (Cornell University)
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2020
|
129 회 인용
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
Adji Bousso Dieng, Chong Wang 외 2명
arXiv (Cornell University)
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2016
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129 회 인용
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