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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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Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson, Alexandre Alahi, +1
arXiv (Cornell University)
|
2016
|
1,031 citations
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Xinyun Chen, Chang Liu, +3
arXiv (Cornell University)
|
2017
|
1,031 citations
cuDNN: Efficient Primitives for Deep Learning
Sharan Chetlur, Cliff Woolley, +5
arXiv (Cornell University)
|
2014
|
1,026 citations
Character-Aware Neural Language Models
Yoon Kim, Yacine Jernite, +2
arXiv (Cornell University)
|
2015
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1,023 citations
Emergent Abilities of Large Language Models
Jason Lee, Yi Tay, +14
arXiv (Cornell University)
|
2022
|
1,022 citations
Compressing Deep Convolutional Networks using Vector Quantization
Yunchao Gong, Liu Liu, +2
arXiv (Cornell University)
|
2014
|
1,018 citations
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Tim Salimans, Jonathan Ho, +3
arXiv (Cornell University)
|
2017
|
1,015 citations
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
Wojciech Samek, Thomas Wiegand, +1
arXiv (Cornell University)
|
2017
|
1,015 citations
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan Lowe
arXiv (Cornell University)
|
2017
|
1,014 citations
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab, Timothée Darcet, +24
arXiv (Cornell University)
|
2023
|
1,011 citations
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