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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
CvT: Introducing Convolutions to Vision Transformers
Haiping Wu, Bin Xiao 외 5명
arXiv (Cornell University)
|
2021
|
162 회 인용
DeeperLab: Single-Shot Image Parser
Tien-Ju Yang, Maxwell D. Collins 외 7명
arXiv (Cornell University)
|
2019
|
162 회 인용
Discovering Discrete Latent Topics with Neural Variational Inference
Yishu Miao, Edward Grefenstette 외 1명
arXiv (Cornell University)
|
2017
|
162 회 인용
Discrimination-aware Channel Pruning for Deep Neural Networks
Zhuangwei Zhuang, Mingkui Tan 외 6명
arXiv (Cornell University)
|
2018
|
162 회 인용
Don't Use Large Mini-Batches, Use Local SGD
Tao Lin, Sebastian U. Stich 외 2명
arXiv (Cornell University)
|
2018
|
162 회 인용
Episodic Curiosity through Reachability
Nikolay Savinov, Anton Raichuk 외 5명
arXiv (Cornell University)
|
2018
|
162 회 인용
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection
Zhixin Wang, Kui Jia
arXiv (Cornell University)
|
2019
|
162 회 인용
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Kun Xu, Lingfei Wu 외 4명
arXiv (Cornell University)
|
2018
|
162 회 인용
Insertion Transformer: Flexible Sequence Generation via Insertion Operations
Mitchell Stern, William Chan 외 2명
arXiv (Cornell University)
|
2019
|
162 회 인용
Learned Cardinalities: Estimating Correlated Joins with Deep Learning
Andreas Kipf, Thomas Kipf 외 4명
arXiv (Cornell University)
|
2018
|
162 회 인용
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