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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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9999+ results
Multi-class Generative Adversarial Networks with the L2 Loss Function.
Xudong Mao, Qing Li, +3
arXiv (Cornell University)
|
2016
|
149 citations
Quantum computing and the entanglement frontier
John Preskill
arXiv (Cornell University)
|
2012
|
149 citations
Scaling Laws for Autoregressive Generative Modeling
Tom Henighan, Jared Kaplan, +17
arXiv (Cornell University)
|
2020
|
149 citations
Text and Code Embeddings by Contrastive Pre-Training
Arvind Neelakantan, Tao Xu, +23
arXiv (Cornell University)
|
2022
|
149 citations
The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial
Benyamin Ghojogh, Mark Crowley
arXiv (Cornell University)
|
2019
|
149 citations
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun, Marc Finzi, +2
arXiv (Cornell University)
|
2018
|
149 citations
Toward Controlled Generation of Text
Zhiting Hu, Zichao Yang, +3
arXiv (Cornell University)
|
2017
|
149 citations
VideoBERT: A Joint Model for Video and Language Representation Learning
Chen Sun, Austin Myers, +3
arXiv (Cornell University)
|
2019
|
149 citations
Virtual to Real Reinforcement Learning for Autonomous Driving
Xinlei Pan, Yurong You, +2
arXiv (Cornell University)
|
2017
|
149 citations
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao, Zhentao Tang, +3
arXiv (Cornell University)
|
2019
|
148 citations
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