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