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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
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
Jinwoo Choi, Chen Gao 외 2명
arXiv (Cornell University)
|
2019
|
99 회 인용
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning
Wenqi Wei, Ling Liu 외 5명
arXiv (Cornell University)
|
2020
|
98 회 인용
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction
Shamil Chollampatt, Hwee Tou Ng
arXiv (Cornell University)
|
2018
|
98 회 인용
A simple yet effective baseline for 3d human pose estimation
Julieta Martínez, Rayat Hossain 외 2명
arXiv (Cornell University)
|
2017
|
98 회 인용
A Survey of Deep Learning Techniques for Neural Machine Translation
Shuoheng Yang, Yuxin Wang 외 1명
arXiv (Cornell University)
|
2020
|
98 회 인용
Adversarial examples from computational constraints
Sébastien Bubeck, Eric Price 외 1명
arXiv (Cornell University)
|
2018
|
98 회 인용
Age Progression/Regression by Conditional Adversarial Autoencoder
Zhifei Zhang, Yang Song 외 1명
arXiv (Cornell University)
|
2017
|
98 회 인용
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems
Zachary C. Lipton, Xiujun Li 외 4명
arXiv (Cornell University)
|
2016
|
98 회 인용
Benefits of depth in neural networks
Matus Telgarsky
arXiv (Cornell University)
|
2016
|
98 회 인용
Biologically inspired protection of deep networks from adversarial attacks
Aran Nayebi, Surya Ganguli
arXiv (Cornell University)
|
2017
|
98 회 인용
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