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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
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M. Cohen, Elan Rosenfeld 외 1명
arXiv (Cornell University)
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2019
|
620 회 인용
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson, Michael Maire 외 1명
arXiv (Cornell University)
|
2016
|
618 회 인용
AraBERT: Transformer-based Model for Arabic Language Understanding
Wissam Antoun, Fady Baly 외 1명
arXiv (Cornell University)
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2020
|
617 회 인용
Tune: A Research Platform for Distributed Model Selection and Training
Richard Liaw, Eric Liang 외 4명
arXiv (Cornell University)
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2018
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615 회 인용
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Yarin Gal, Zoubin Ghahramani
arXiv (Cornell University)
|
2015
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614 회 인용
How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
Chia‐Wei Liu, Ryan Lowe 외 4명
arXiv (Cornell University)
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2016
|
614 회 인용
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun, Dongyoon Han 외 4명
arXiv (Cornell University)
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2019
|
613 회 인용
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale
Alina Kuznetsova, Hassan Rom 외 10명
arXiv (Cornell University)
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2018
|
613 회 인용
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello, Stefan Bauer 외 5명
arXiv (Cornell University)
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2018
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612 회 인용
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
Kexin Huang, Jaan Altosaar 외 1명
arXiv (Cornell University)
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2019
|
612 회 인용
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