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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
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks
Linfeng Song, Zhiguo Wang 외 4명
arXiv (Cornell University)
|
2018
|
86 회 인용
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search
Xiangxiang Chu, Bo Zhang 외 3명
arXiv (Cornell University)
|
2019
|
86 회 인용
Fast Convergence of Stochastic Gradient Descent under a Strong Growth Condition
Mark Schmidt, Nicolas Le Roux
arXiv (Cornell University)
|
2013
|
86 회 인용
Feature Denoising for Improving Adversarial Robustness
Cihang Xie, Yuxin Wu 외 3명
arXiv (Cornell University)
|
2018
|
86 회 인용
Federated Deep Reinforcement Learning
Hankz Hankui Zhuo, Wenfeng Feng 외 3명
arXiv (Cornell University)
|
2019
|
86 회 인용
Flexible Neural Representation for Physics Prediction
Damian Mrowca, Chengxu Zhuang 외 5명
arXiv (Cornell University)
|
2018
|
86 회 인용
Flow Matching for Generative Modeling
Yaron Lipman, Ricky T. Q. Chen 외 3명
arXiv (Cornell University)
|
2022
|
86 회 인용
FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension
Hsin-Yuan Huang, Chenguang Zhu 외 2명
arXiv (Cornell University)
|
2017
|
86 회 인용
Generate rather than Retrieve: Large Language Models are Strong Context Generators
Adarsh Ron
arXiv (Cornell University)
|
2022
|
86 회 인용
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization
Pan Xu, Jinghui Chen 외 2명
arXiv (Cornell University)
|
2017
|
86 회 인용
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