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