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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
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Jiahui Yu, Yuanzhong Xu 외 15명
arXiv (Cornell University)
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2022
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340 회 인용
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari, Liangzhe Yuan 외 5명
arXiv (Cornell University)
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2021
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340 회 인용
Certified Defenses against Adversarial Examples
Aditi Raghunathan, Jacob Steinhardt 외 1명
arXiv (Cornell University)
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2018
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339 회 인용
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
Liang-Chieh Chen, Maxwell D. Collins 외 6명
arXiv (Cornell University)
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2018
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339 회 인용
The Natural Language Decathlon: Multitask Learning as Question Answering
Bryan McCann, Nitish Shirish Keskar 외 2명
arXiv (Cornell University)
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2018
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339 회 인용
Convolutional Neural Networks Applied to House Numbers Digit Classification
Pierre Sermanet, Soumith Chintala 외 1명
arXiv (Cornell University)
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2012
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338 회 인용
Data Augmentation by Pairing Samples for Images Classification
Hiroshi Inoue
arXiv (Cornell University)
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2018
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338 회 인용
Dynamic Coattention Networks For Question Answering
Caiming Xiong, Victor W. Zhong 외 1명
arXiv (Cornell University)
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2016
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338 회 인용
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
Yang Song, Taesup Kim 외 3명
arXiv (Cornell University)
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2017
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338 회 인용
ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring
David Berthelot, Nicholas Carlini 외 5명
arXiv (Cornell University)
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2020
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338 회 인용
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