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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
Scalable Variational Gaussian Process Classification
James Hensman, Alexander Matthews 외 1명
arXiv (Cornell University)
|
2014
|
346 회 인용
Split learning for health: Distributed deep learning without sharing raw patient data
Praneeth Vepakomma, Otkrist Gupta 외 2명
arXiv (Cornell University)
|
2018
|
346 회 인용
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Túlio Ribeiro, Sameer Singh 외 1명
arXiv (Cornell University)
|
2016
|
346 회 인용
Certifying Some Distributional Robustness with Principled Adversarial Training
Aman Sinha, Hongseok Namkoong 외 2명
arXiv (Cornell University)
|
2017
|
345 회 인용
Directional Message Passing for Molecular Graphs
Johannes Gasteiger, Janek Groß 외 1명
arXiv (Cornell University)
|
2020
|
345 회 인용
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew Riemer, Ignacio Cases 외 5명
arXiv (Cornell University)
|
2018
|
345 회 인용
LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection
Pankaj Malhotra, Anusha Ramakrishnan 외 4명
arXiv (Cornell University)
|
2016
|
345 회 인용
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance
Lior Yariv, Yoni Kasten 외 5명
arXiv (Cornell University)
|
2020
|
345 회 인용
DyNet: The Dynamic Neural Network Toolkit
Graham Neubig, Chris Dyer 외 23명
arXiv (Cornell University)
|
2017
|
344 회 인용
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz, Misha Denil 외 6명
arXiv (Cornell University)
|
2016
|
344 회 인용
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