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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
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song, Jascha Sohl‐Dickstein 외 4명
arXiv (Cornell University)
|
2020
|
1,263 회 인용
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio, Oriol Vinyals 외 2명
arXiv (Cornell University)
|
2015
|
1,261 회 인용
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey, Jan Eric Lenssen
arXiv (Cornell University)
|
2019
|
1,259 회 인용
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke, Abhishek Chaurasia 외 2명
arXiv (Cornell University)
|
2016
|
1,258 회 인용
Recent Trends in Deep Learning Based Natural Language Processing
Tom Young, Devamanyu Hazarika 외 2명
arXiv (Cornell University)
|
2017
|
1,254 회 인용
Building Natural-Language Generation Systems
Ehud Reiter
ArXiv.org
|
1996
|
1,249 회 인용
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac, Jeff Donahue 외 25명
arXiv (Cornell University)
|
2022
|
1,238 회 인용
VisualBERT: A Simple and Performant Baseline for Vision and Language
Liunian Harold Li, Mark Yatskar 외 3명
arXiv (Cornell University)
|
2019
|
1,231 회 인용
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Feng Niu, Benjamin Recht 외 2명
arXiv (Cornell University)
|
2011
|
1,224 회 인용
A guide to convolution arithmetic for deep learning
Vincent Dumoulin, Francesco Visin
arXiv (Cornell University)
|
2016
|
1,223 회 인용
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