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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
Generalized Byzantine-tolerant SGD
Cong Xie, Oluwasanmi Koyejo 외 1명
arXiv (Cornell University)
|
2018
|
176 회 인용
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
Yao Qin, Nicholas Carlini 외 3명
arXiv (Cornell University)
|
2019
|
176 회 인용
Learning a Text-Video Embedding from Incomplete and Heterogeneous Data
Antoine Miech, Ivan Laptev 외 1명
arXiv (Cornell University)
|
2018
|
176 회 인용
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions
Vijay Kumar B G, Gustavo Carneiro 외 1명
arXiv (Cornell University)
|
2015
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176 회 인용
Learning shape correspondence with anisotropic convolutional neural networks
Davide Boscaini, Jonathan Masci 외 2명
arXiv (Cornell University)
|
2016
|
176 회 인용
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff, Raphaël Lopez Kaufman 외 7명
arXiv (Cornell University)
|
2019
|
176 회 인용
NeMo: a toolkit for building AI applications using Neural Modules
Oleksii Kuchaiev, Jason Li 외 12명
arXiv (Cornell University)
|
2019
|
176 회 인용
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
Daniel E. Ho, Eric Liang 외 3명
arXiv (Cornell University)
|
2019
|
176 회 인용
Serverless Computing: One Step Forward, Two Steps Back
Joseph M. Hellerstein, Jose M. Faleiro 외 5명
arXiv (Cornell University)
|
2018
|
176 회 인용
sktime: A Unified Interface for Machine Learning with Time Series
Markus Löning, Anthony Bagnall 외 4명
arXiv (Cornell University)
|
2019
|
176 회 인용
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