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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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Revisiting Bayesian Blind Deconvolution
David Wipf, Haichao Zhang
arXiv (Cornell University)
|
2013
|
96 citations
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
Ruining Deng, Can Cui, +14
arXiv (Cornell University)
|
2023
|
96 citations
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Yunjey Choi, Youngjung Uh, +2
arXiv (Cornell University)
|
2019
|
96 citations
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Alex X. Lee, Anusha Nagabandi, +2
arXiv (Cornell University)
|
2019
|
96 citations
Sum-of-squares proofs and the quest toward optimal algorithms
Boaz Barak, David Steurer
arXiv (Cornell University)
|
2014
|
96 citations
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents
Yen-Chen Lin, Zhang-Wei Hong, +4
arXiv (Cornell University)
|
2017
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96 citations
TextWorld: A Learning Environment for Text-based Games
Marc-Alexandre Côté, Ákos Kádár, +11
arXiv (Cornell University)
|
2018
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96 citations
The UEA multivariate time series classification archive, 2018
Anthony Bagnall, Hoang Anh Dau, +6
arXiv (Cornell University)
|
2018
|
96 citations
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
T. Tony Cai, Rong Ma
arXiv (Cornell University)
|
2021
|
96 citations
UniMorph 2.0: Universal Morphology
Christo Kirov, Ryan Cotterell, +11
arXiv (Cornell University)
|
2018
|
96 citations
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