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