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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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Domain Adaptive Neural Networks for Object Recognition
Muhammad Ghifary, W. Bastiaan Kleijn, +1
arXiv (Cornell University)
|
2014
|
96 citations
DSOD: Learning Deeply Supervised Object Detectors from Scratch
Zhiqiang Shen, Zhuang Liu, +4
arXiv (Cornell University)
|
2017
|
96 citations
Effects of Stop Words Elimination for Arabic Information Retrieval: A Comparative Study
Ibrahim Abu El‐Khair
arXiv (Cornell University)
|
2006
|
96 citations
Evolved Policy Gradients
Rein Houthooft, Richard Y. Chen, +5
arXiv (Cornell University)
|
2018
|
96 citations
Extracting Training Data from Diffusion Models
Nicholas Carlini, Jamie Hayes, +7
arXiv (Cornell University)
|
2023
|
96 citations
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
Hongyang Li, David Eigen, +3
arXiv (Cornell University)
|
2019
|
96 citations
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Hengrui Zhang, Qitian Wu, +3
arXiv (Cornell University)
|
2021
|
96 citations
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang, Cuiling Lan, +7
arXiv (Cornell University)
|
2021
|
96 citations
Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2
Ali Borji
arXiv (Cornell University)
|
2022
|
96 citations
Graph Information Bottleneck
Tailin Wu, Hongyu Ren, +2
arXiv (Cornell University)
|
2020
|
96 citations
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