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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
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He, Kuan Deng 외 4명
arXiv (Cornell University)
|
2020
|
413 회 인용
BERT for Joint Intent Classification and Slot Filling
Chen Qian, Zhuo Zhu 외 1명
arXiv (Cornell University)
|
2019
|
412 회 인용
Deep Graph Contrastive Representation Learning
Yanqiao Zhu, Yichen Xu 외 4명
arXiv (Cornell University)
|
2020
|
412 회 인용
Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions
Yichao Liu, Zongru Shao 외 1명
arXiv (Cornell University)
|
2021
|
412 회 인용
Improved Denoising Diffusion Probabilistic Models
Alex Nichol, Prafulla Dhariwal
arXiv (Cornell University)
|
2021
|
412 회 인용
Quantum codes on a lattice with boundary
Sergey Bravyi, Alexei Kitaev
ArXiv.org
|
1998
|
412 회 인용
SphereFace: Deep Hypersphere Embedding for Face Recognition
Weiyang Liu, Yandong Wen 외 4명
arXiv (Cornell University)
|
2017
|
412 회 인용
Distributed Prioritized Experience Replay
Dan Horgan, John Quan 외 5명
arXiv (Cornell University)
|
2018
|
411 회 인용
Deep Learning is Robust to Massive Label Noise
David Rolnick, Andreas Veit 외 2명
arXiv (Cornell University)
|
2017
|
408 회 인용
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee, Yoonho Lee 외 4명
arXiv (Cornell University)
|
2018
|
408 회 인용
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