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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson, Alexandre Alahi 외 1명
arXiv (Cornell University)
|
2016
|
1,031 회 인용
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Xinyun Chen, Chang Liu 외 3명
arXiv (Cornell University)
|
2017
|
1,031 회 인용
cuDNN: Efficient Primitives for Deep Learning
Sharan Chetlur, Cliff Woolley 외 5명
arXiv (Cornell University)
|
2014
|
1,026 회 인용
Character-Aware Neural Language Models
Yoon Kim, Yacine Jernite 외 2명
arXiv (Cornell University)
|
2015
|
1,023 회 인용
Emergent Abilities of Large Language Models
Jason Lee, Yi Tay 외 14명
arXiv (Cornell University)
|
2022
|
1,022 회 인용
Compressing Deep Convolutional Networks using Vector Quantization
Yunchao Gong, Liu Liu 외 2명
arXiv (Cornell University)
|
2014
|
1,018 회 인용
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Tim Salimans, Jonathan Ho 외 3명
arXiv (Cornell University)
|
2017
|
1,015 회 인용
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
Wojciech Samek, Thomas Wiegand 외 1명
arXiv (Cornell University)
|
2017
|
1,015 회 인용
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan Lowe
arXiv (Cornell University)
|
2017
|
1,014 회 인용
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab, Timothée Darcet 외 24명
arXiv (Cornell University)
|
2023
|
1,011 회 인용
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