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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
Beyond Skip Connections: Top-Down Modulation for Object Detection
Abhinav Shrivastava, Rahul Sukthankar 외 2명
arXiv (Cornell University)
|
2016
|
336 회 인용
CBAM: Convolutional Block Attention Module
Sanghyun Woo, Jongchan Park 외 2명
arXiv (Cornell University)
|
2018
|
336 회 인용
Continuous Deep Q-Learning with Model-based Acceleration
Shixiang Gu, Timothy Lillicrap 외 2명
arXiv (Cornell University)
|
2016
|
336 회 인용
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng, Hongkuan Zhou 외 3명
arXiv (Cornell University)
|
2019
|
336 회 인용
Indoor Semantic Segmentation using depth information
Camille Couprie, Clément Farabet 외 2명
arXiv (Cornell University)
|
2013
|
336 회 인용
Mapping the Gnutella Network: Properties of Large-Scale Peer-to-Peer Systems and Implications for System Design
Matei Ripeanu, Ian Foster 외 1명
ArXiv.org
|
2002
|
336 회 인용
Safe Model-based Reinforcement Learning with Stability Guarantees
Felix Berkenkamp, Matteo Turchetta 외 2명
arXiv (Cornell University)
|
2017
|
336 회 인용
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
Junting Pan, Cristian Canton-Ferrer 외 5명
arXiv (Cornell University)
|
2017
|
336 회 인용
Spanish Pre-trained BERT Model and Evaluation Data
José Cañete, Gabriel Chaperon 외 4명
arXiv (Cornell University)
|
2023
|
336 회 인용
Deep Neural Networks as Gaussian Processes
Jaehoon Lee, Yasaman Bahri 외 4명
arXiv (Cornell University)
|
2017
|
335 회 인용
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