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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
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms
Jongpil Lee, Ji Young Park 외 2명
arXiv (Cornell University)
|
2017
|
104 회 인용
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret, Ariel Kleiner 외 2명
arXiv (Cornell University)
|
2020
|
104 회 인용
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou, Jun Luo 외 35명
arXiv (Cornell University)
|
2020
|
104 회 인용
StegExpose - A Tool for Detecting LSB Steganography
Benedikt Boehm
arXiv (Cornell University)
|
2014
|
104 회 인용
Stochastic Variational Deep Kernel Learning
Andrew Gordon Wilson, Zhiting Hu 외 2명
arXiv (Cornell University)
|
2016
|
104 회 인용
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Kaidi Xu, Sijia Liu 외 7명
arXiv (Cornell University)
|
2018
|
104 회 인용
Student-Teacher Feature Pyramid Matching for Anomaly Detection
Guodong Wang, Shumin Han 외 2명
arXiv (Cornell University)
|
2021
|
104 회 인용
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Jian-Hao Luo, Jianxin Wu 외 1명
arXiv (Cornell University)
|
2017
|
104 회 인용
Tiramisu: a polyhedral compiler for expressing fast and portable code
Riyadh Baghdadi, Jessica M. Ray 외 7명
arXiv (Cornell University)
|
2019
|
104 회 인용
Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency
Zhenheng Yang, Peng Wang 외 3명
arXiv (Cornell University)
|
2017
|
104 회 인용
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