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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
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
Chaoyang He, Keshav Balasubramanian 외 12명
arXiv (Cornell University)
|
2021
|
103 회 인용
Few-Shot Segmentation Propagation with Guided Networks
Kate Rakelly, Evan Shelhamer 외 3명
arXiv (Cornell University)
|
2018
|
103 회 인용
From Facial Parts Responses to Face Detection: A Deep Learning Approach
Shuo Yang, Ping Luo 외 2명
arXiv (Cornell University)
|
2015
|
103 회 인용
Generative Image Modeling Using Spatial LSTMs
Lucas Theis, Matthias Bethge
arXiv (Cornell University)
|
2015
|
103 회 인용
Homodyne Detection Quadrature Phase Shift Keying Continuous-Variable Quantum Key Distribution with High Excess Noise Tolerance
Wen‐Bo Liu, Chen-Long Li 외 8명
arXiv (Cornell University)
|
2021
|
103 회 인용
"I don't believe in word senses"
Adam Kilgarriff
arXiv (Cornell University)
|
1997
|
103 회 인용
Improving Transformer-based Speech Recognition Using Unsupervised Pre-training
Dongwei Jiang, Xiaoning Lei 외 5명
arXiv (Cornell University)
|
2019
|
103 회 인용
Interactive Visualization of 2-D Persistence Modules
Michael Lesnick, Matthew Wright
arXiv (Cornell University)
|
2015
|
103 회 인용
Large Language Models Can Be Easily Distracted by Irrelevant Context
Freda Shi, Xinyun Chen 외 6명
arXiv (Cornell University)
|
2023
|
103 회 인용
Latent Predictor Networks for Code Generation
Ling Wang, Edward Grefenstette 외 5명
arXiv (Cornell University)
|
2016
|
103 회 인용
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