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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
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Kurtland Chua, Roberto Calandra 외 2명
arXiv (Cornell University)
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2018
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185 회 인용
DRIT++: Diverse Image-to-Image Translation via Disentangled Representations
Hsin-Ying Lee, Hung-Yu Tseng 외 5명
arXiv (Cornell University)
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2019
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185 회 인용
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Tsui-Wei Weng, Huan Zhang 외 6명
arXiv (Cornell University)
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2018
|
185 회 인용
FlashGraph: processing billion-node graphs on an array of commodity SSDs
Da Zheng, Disa Mhembere 외 4명
arXiv (Cornell University)
|
2015
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185 회 인용
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
Yongming Rao, Wenliang Zhao 외 4명
arXiv (Cornell University)
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2022
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185 회 인용
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma, Tim Salimans 외 4명
arXiv (Cornell University)
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2016
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185 회 인용
Learning to Detect Malicious Clients for Robust Federated Learning
Suyi Li, Yong Cheng 외 3명
arXiv (Cornell University)
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2020
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185 회 인용
On Empirical Comparisons of Optimizers for Deep Learning
Dami Choi, Christopher J. Shallue 외 4명
arXiv (Cornell University)
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2019
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185 회 인용
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control
Riashat Islam, Peter Henderson 외 2명
arXiv (Cornell University)
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2017
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185 회 인용
Simple And Efficient Architecture Search for Convolutional Neural Networks
Thomas Elsken, Jan-Hendrik Metzen 외 1명
arXiv (Cornell University)
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2017
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185 회 인용
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