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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
Programmatic Manipulation of Common Lisp Type Specifiers
Jim E. Newton, Didier Verna 외 1명
arXiv (Cornell University)
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2017
|
103 회 인용
Recover Canonical-View Faces in the Wild with Deep Neural Networks
Zhenyao Zhu, Ping Luo 외 2명
arXiv (Cornell University)
|
2014
|
103 회 인용
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Peize Sun, Rufeng Zhang 외 9명
arXiv (Cornell University)
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2020
|
103 회 인용
Synthetic Data -- what, why and how?
J.B. Jordon, Łukasz Szpruch 외 6명
arXiv (Cornell University)
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2022
|
103 회 인용
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks
Sanghyun Hong, Pietro Frigo 외 3명
arXiv (Cornell University)
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2019
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103 회 인용
Weakly-supervised Discovery of Visual Pattern Configurations
Hyun Oh Song, Yong Jae Lee 외 2명
arXiv (Cornell University)
|
2014
|
103 회 인용
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations
Xiangning Chen, Cho‐Jui Hsieh 외 1명
arXiv (Cornell University)
|
2021
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103 회 인용
WT5?! Training Text-to-Text Models to Explain their Predictions
Sharan Narang, Colin Raffel 외 4명
arXiv (Cornell University)
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2020
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103 회 인용
A Retrieve-and-Edit Framework for Predicting Structured Outputs
Tatsunori Hashimoto, Kelvin Guu 외 2명
arXiv (Cornell University)
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2018
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102 회 인용
Accelerating CNN inference on FPGAs: A Survey
Kamel Abdelouahab, Maxime Pelcat 외 2명
arXiv (Cornell University)
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2018
|
102 회 인용
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