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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
Learning a Discriminative Feature Network for Semantic Segmentation
Changqian Yu, Jingbo Wang 외 4명
arXiv (Cornell University)
|
2018
|
88 회 인용
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures
Tianping Zhang, Yizhuo Zhang 외 5명
arXiv (Cornell University)
|
2022
|
88 회 인용
Multiplicative LSTM for sequence modelling
Ben Krause, Liang Lu 외 2명
arXiv (Cornell University)
|
2016
|
88 회 인용
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang, Andrew Geng 외 1명
arXiv (Cornell University)
|
2021
|
88 회 인용
On the Origin of Deep Learning
Haohan Wang, Bhiksha Raj
arXiv (Cornell University)
|
2017
|
88 회 인용
On Universal and Fault-Tolerant Quantum Computing
P. Oscar Boykin, Tal Mor 외 3명
ArXiv.org
|
1999
|
88 회 인용
Perceptual Generative Adversarial Networks for Small Object Detection
Jianan Li, Xiaodan Liang 외 4명
arXiv (Cornell University)
|
2017
|
88 회 인용
Position-aware Graph Neural Networks
Jiaxuan You, Rex Ying 외 1명
arXiv (Cornell University)
|
2019
|
88 회 인용
Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Bruce D’Ambrosio, Philippe Smets 외 1명
arXiv (Cornell University)
|
1991
|
88 회 인용
Rényi Differential Privacy of the Sampled Gaussian Mechanism
Ilya Mironov, Kunal Talwar 외 1명
arXiv (Cornell University)
|
2019
|
88 회 인용
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