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Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
Jie Hu, Li Shen 외 3명
arXiv (Cornell University)
|
2018
|
386 회 인용
How Powerful are Graph Neural Networks?
Keyulu Xu, Weihua Hu 외 2명
arXiv (Cornell University)
|
2018
|
386 회 인용
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie, Ross Girshick 외 3명
arXiv (Cornell University)
|
2016
|
385 회 인용
Analyzing Federated Learning through an Adversarial Lens
Arjun Nitin Bhagoji, Supriyo Chakraborty 외 2명
arXiv (Cornell University)
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2018
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385 회 인용
SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine
Matthew Dunn, Levent Sagun 외 4명
arXiv (Cornell University)
|
2017
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385 회 인용
Towards Good Practices for Very Deep Two-Stream ConvNets
Limin Wang, Yuanjun Xiong 외 2명
arXiv (Cornell University)
|
2015
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385 회 인용
Causal Inference and Causal Explanation with Background Knowledge
Christopher Meek
arXiv (Cornell University)
|
2013
|
384 회 인용
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Lianghui Zhu, Bencheng Liao 외 4명
arXiv (Cornell University)
|
2024
|
384 회 인용
CogView: Mastering Text-to-Image Generation via Transformers
Ming Ding, Zhuoyi Yang 외 9명
arXiv (Cornell University)
|
2021
|
383 회 인용
Exploring Models and Data for Image Question Answering
Mengye Ren, Ryan Kiros 외 1명
arXiv (Cornell University)
|
2015
|
383 회 인용
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