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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
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark, Kenton Lee 외 4명
arXiv (Cornell University)
|
2019
|
209 회 인용
Common Voice: A Massively-Multilingual Speech Corpus
Rosana Ardila, Megan Branson 외 8명
arXiv (Cornell University)
|
2019
|
209 회 인용
Efficient Neural Network Robustness Certification with General Activation Functions
Huan Zhang, Tsui-Wei Weng 외 3명
arXiv (Cornell University)
|
2018
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209 회 인용
Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences
Tim Miller, Piers D. L. Howe 외 1명
arXiv (Cornell University)
|
2017
|
209 회 인용
GIT: A Generative Image-to-text Transformer for Vision and Language
Jianfeng Wang, Zhengyuan Yang 외 7명
arXiv (Cornell University)
|
2022
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209 회 인용
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou, Wei Chen 외 5명
arXiv (Cornell University)
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2021
|
209 회 인용
Multimodal Residual Learning for Visual QA
Jin-Hwa Kim, Sangwoo Lee 외 5명
arXiv (Cornell University)
|
2016
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209 회 인용
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles
Jiajun Lu, Hussein Sibai 외 2명
arXiv (Cornell University)
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2017
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209 회 인용
Realistic Evaluation of Deep Semi-Supervised Learning Algorithms
Avital Oliver, Augustus Odena 외 3명
arXiv (Cornell University)
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2018
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209 회 인용
Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello, William Fedus 외 6명
arXiv (Cornell University)
|
2021
|
209 회 인용
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