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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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Conditional Adversarial Domain Adaptation
Mingsheng Long, Zhangjie Cao, +2
arXiv (Cornell University)
|
2017
|
1,428 citations
Generative Adversarial Text to Image Synthesis
Scott Reed, Zeynep Akata, +4
arXiv (Cornell University)
|
2016
|
1,424 citations
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara, Matthieu Courbariaux, +3
arXiv (Cornell University)
|
2016
|
1,420 citations
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Nicolas Papernot, Patrick McDaniel, +1
arXiv (Cornell University)
|
2016
|
1,415 citations
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Tuan-Hung Vu, Himalaya Jain, +3
arXiv (Cornell University)
|
2018
|
1,403 citations
Evaluating Large Language Models Trained on Code
Mark Chen, Jerry Tworek, +56
arXiv (Cornell University)
|
2021
|
1,403 citations
Neural Architecture Search: A Survey
Thomas Elsken, Jan Hendrik Metzen, +1
arXiv (Cornell University)
|
2018
|
1,401 citations
Frustratingly Easy Domain Adaptation
Hal Daumé
ArXiv.org
|
2009
|
1,394 citations
Learning deep representations by mutual information estimation and maximization
R Devon Hjelm, Alex Fedorov, +5
arXiv (Cornell University)
|
2018
|
1,393 citations
End-to-End Training of Deep Visuomotor Policies
Sergey Levine, Chelsea Finn, +2
arXiv (Cornell University)
|
2015
|
1,390 citations
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